SN Computer Science (2025) 6:476 https://doi.org/10.1007/s42979-025-04010-4 ORIGINAL RESEARCH Exploring Students’ Perceptions and Satisfaction of Using GenAIChatGPT Tools for Learning in Higher Education: A Mixed Methods Study Joey Ng1 · Mavis Tong1 · Eva Y.M. Tsang1 · Kevin Chu1 · William Tsang1 Received: 25 December 2024 / Accepted: 28 April 2025 © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025 Abstract This study investigates students’ perceptions and satisfaction with using GenAI-ChatGPT tools in their learning processes, aiming to provide a comprehensive understanding of how students perceive and integrate ChatGPT into their educational activities. A mixed-methods approach was adopted, combining an online survey of 1,963 respondents who reported using generative AI tools like ChatGPT for learning, with in-depth interviews involving 14 students to capture qualitative insights into their experiences and perceptions. The study commenced with the online survey to collect data on students’ experiences and feedback regarding ChatGPT. The internal consistency of the survey instruments was evaluated using Cronbach’s Alpha, with values exceeding 0.7, indicating high reliability. A right-tailed t-test across all three scales yielded a p-value of less than 0.001, suggesting that students had a positive user experience, perceived the tools as useful, and expressed overall satisfaction with GenAI-ChatGPT tools. Following the quantitative survey, a qualitative study involving focus groups was conducted to explore students’ perceptions and concerns about using GenAI-ChatGPT tools. The qualitative analysis identified five key themes: purposes, user experience, usefulness of GenAI-ChatGPT tools, overall satisfaction, and students’ attitudes and reactions. These focus groups provided nuanced insights into how students interact with and perceive the value of GenAI-ChatGPT tools in their academic endeavors. The findings indicate that students exhibit a positive attitude towards GenAI-ChatGPT tools, recognizing its value in enhancing quick thinking and responsiveness. The statistically significant differences between mean scores and the test value support these positive perceptions. This study offers valuable insights for the development and refinement of GenAI-ChatGPT tools to better meet student needs and expectations. Keywords GenAI · ChatGPT · Learning process · User experience · Critical thinking · Learning technology Introduction Joey Ng jng@hkmu.edu.hk Mavis Tong mtong@hkmu.edu.hk Eva Y.M. Tsang etsang@hkmu.edu.hk Kevin Chu kwkchu@hkmu.edu.hk William Tsang wntsang@hkmu.edu.hk 1 Hong Kong Special Administrative Region, Hong Kong Metropolitan University, Kowloon, China The increasing integration of Artificial Intelligence (AI) tools in educational settings has sparked a significant shift in teaching and learning practices. Among these tools, the Generative Pre-trained Transformer (ChatGPT) and Generative AI (GenAI) have emerged as valuable resources for students. Recognizing their potential, Hong Kong Metropolitan University (HKMU) has encouraged students to responsibly utilize these tools, while emphasizing the importance of ownership, referencing, and critical thinking. To maintain transparency and understand the impacts of these AI tools on students’ learning experiences, the university implemented a policy in September 2023 requiring students to acknowledge the use of GenAI tools and specify their purposes in SN Computer Science 476 Page 2 of 17 assignments. In particular, HKMU has taken advantage of the advanced GPT-4 model to build and launch its own ChatGPT Web Portal for its staff and students since 2023. In order to evaluate the effectiveness and impacts of employing these GenAI tools at HKMU, it is significantly relevant to explore students’ perceptions of these tools (in particular, the ChatGPT Web Portal). Taking a user-centric approach to study the potential benefits and drawbacks of GenAI tools in higher education could allow students to reflect on their user experience, hence reminding them to maintain precaution in using these GenAI tools. With student feedback on using these AI tools, the education sector can effectively overcome any potential barriers, develop appropriate strategies for integrating AI tools into the learning environment, continually improve and adapt AI tools to facilitate students’ learning, and promote student engagement, satisfaction, and learning outcomes [1, 2]. Although AI tools could possibly transform the education industry, their success relies heavily on student feedback and acceptance [1]. That is why exploring student perception and satisfaction with using these AI tools is critical to their effective implementation, as well as continuous development in higher education [1, 2]. Understanding students’ perceptions and interactions with these tools, as well as their reliance on them for academic endeavors, is crucial. By exploring students’ experiences and attitudes towards GenAI-ChatGPT tools, a deeper understanding of the benefits, drawbacks, and implications associated with its usage can be obtained. Educators can tailor their approaches based on how students interact with and benefit from the technology, ensuring that it complements traditional learning methods. Feedback from students highlights specific areas where GenAI-ChatGPT may fall short, such as accuracy, relevance, or ease of use for various learning purposes. This information is also crucial for developers aiming to refine the tool and for educators who might need to raise students’ awareness of the problems associated with using it. This study aims to investigate the specific utilization of GenAI-ChatGPT tools by students in their learning and assignments, contributing to a comprehensive understanding of how students perceive and integrate GenAI-ChatGPT tools into their learning processes. The increasing prevalence of GenAI-ChatGPT tools, in educational settings offers innovative ways for students to explore and enhance their learning experiences. However, questions and concerns arise regarding the effectiveness and limitations of integrating GenAI-ChatGPT tools within the educational context. While this study focuses on perceptions, it does not preclude the need for future research examining the effects of students’ use of AI-generated tools on their academic performance. The current study facilitates the identification of students’ intentions, emotional responses, cognitive SN Computer Science SN Computer Science (2025) 6:476 reasoning, and perceived usefulness as they adopt GenAIChatGPT, laying the groundwork for further research into the effects of using ChatGPT on their actual academic performance and providing context for why certain outcomes may occur. To achieve the aims, the study employs a mixed methodology approach combining quantitative and qualitative methods. A quantitative survey was administered to collect data on students’ usage and feedback regarding GenAIChatGPT tools, followed by descriptive analysis. Additionally, qualitative focus group interviews were conducted to delve into students’ perceptions and concerns surrounding the use of GenAI-ChatGPT tools. This study provides a detailed exploration of students’ perceptions regarding the use of GenAI-ChatGPT tools. Literature Review Large Language Models (LLMs) Artificial Intelligence (AI) is a vast field, and the term “artificial intelligence” was coined by Professor John McCarthy, who also claimed the founding year of AI as 1956 [3]. AI involves creating intelligent machines and developing intelligent computer programs. In the context of chatbots, different Large Language Models (LLMs) are utilized to generate responses based on user input. These models, such as Generative Pre-trained Transformer (GPT), are trained using vast amounts of text data from sources like books and online databases, including Wikipedia. They are essentially robots that can be commanded by humans to generate various types of content, such as articles, stories, resumes, or letters. Various companies have developed their own language models, and OpenAI’s GPT is one prominent example, powering the chatbot ChatGPT. Other tech companies have also developed their own models using different training methods and datasets. LLMs exhibit great versatility and can perform diverse tasks, including text translation, code writing, chatbot functionality, generating different genres of text, and even generating images from text [4]. ChatGPT GPT is the underlying technology behind ChatGPT, a popular chatbot developed by OpenAI in 2018. GPT offers several advantages, including efficient handling of large amounts of text, capturing the word order in sentences, and continuous improvement through learning from extensive existing data [5, 6]. In November 2022, the generative artificial intelligence (GenAI) tool ChatGPT 3.5 was introduced as a new chatbot based on the Generative Pre-trained SN Computer Science (2025) 6:476 Transformer Model [7, 8]. Subsequently, in March 2023, OpenAI released the pay-for-use version GPT-4, which leveraged the same training data but reportedly exhibited enhanced factual accuracy, reduced probability of generating offensive or dangerous output, and improved responsiveness to user intentions expressed in questions or queries. Using ChatGPT in Higher Education The use of ChatGPT is particularly disruptive in Higher Education, as it provides students with immediate, personalized feedback and guidance, offering an extensive range of responses accessible anytime and anywhere. Its applications include assisting with tasks such as essay writing, scientific article composition, brainstorming research ideas, conducting literature reviews, enhancing papers, and even proofreading text for structural, punctuation, and grammatical errors [6, 9–12]. The issue of student plagiarism in academic assignments has been a topic of concern among scholars. A study by [13] has provided a summary of criticisms regarding the use of ChatGPT by students in their writing assignments, drawing upon earlier studies that examined the introduction of Generative Artificial Intelligence (GenAI) in educational settings. Several reports have highlighted instances where university students have utilized chatbots to complete their assignments, papers, and homework [14–17]. Scholars have examined the benefits, risks, ethical considerations, and the impact of LLMs on traditional assessment methods [18–20]. Of particular concern is the possibility of students overly relying on ChatGPT, which may hinder their critical thinking skills and ability to evaluate content and information. Findings from a survey conducted by Intelligent.com [21] reveal that nearly one-third of college students utilized ChatGPT for their schoolwork during the 2023 academic year. In addition, a separate investigation by BestColleges. com [22] highlighted some concerning aspects of AI tool usage. This study revealed that approximately half of college students confessed to using AI tools like ChatGPT for cheating or plagiarism. Despite being aware of the potential negative consequences, the study also found that one in five students continued to use these tools. It is important to consider potential drawbacks and concerns associated with the use of ChatGPT. An article [23] in 2024 revealed students’ apprehensions regarding the accuracy of information provided by ChatGPT, raising concerns about potential academic dishonesty. This highlights the need for careful consideration and monitoring when integrating ChatGPT into educational settings. However, numerous studies indicate that students actively employ ChatGPT for their learning purposes. Authors in [7] emphasized that ChatGPT could assist students in developing various skills, including reading, writing, information analysis, Page 3 of 17 476 critical thinking, problem-solving, generating practice problems, and research. The findings of a study [24] concurred with this view, highlighting that students eagerly take advantage of this tool in multiple areas, such as reviewing concepts from academic articles, obtaining general information, seeking further elaborations, and using it as a quick reference tool for their studies or broader knowledge fields [25–28]. In recent years, several studies have explored the potential of ChatGPT in assisting students with their writing skills and enhancing their learning experiences [29]. A study [30] demonstrated the effectiveness of ChatGPT in supporting students’ writing development, particularly in terms of fostering diverse forms of expression. Through engaging in paraphrasing activities facilitated by ChatGPT, students were able to illustrate their ideas and arrive at independent conclusions, thereby enhancing their creative thinking abilities. The process of reviewing the responses and feedback generated by ChatGPT also proved valuable in improving students’ comprehension, linguistic skills, and critical thinking [25, 27, 31–33]. These findings highlight the benefits of incorporating paraphrasing activities into students’ writing routines. Spanos’ study [34] further explored the potential of ChatGPT by examining student interactions with the AI as part of their learning process. This research built upon Bloom’s six cognitive processes of learning (remembering, understanding, applying, analyzing, evaluating, and creating) and the taxonomy’s four types of knowledge (factual, conceptual, procedural, and metacognitive) as established by [35–37]. The findings highlighted students’ ability to acquire knowledge at various levels through their interactions with ChatGPT. Additional studies by [38, 39] supported these findings, showing that dialogues with ChatGPT improved students’ conceptual knowledge and critical thinking abilities. Furthermore, students’ metacognitive knowledge was enhanced as they compared their responses to those generated by ChatGPT. The reviewed studies collectively highlight the potential of GenAI-ChatGPT as a tool for enhancing knowledge acquisition, critical thinking, and metacognitive development among students. However, they also underscore the challenges inherent in the implementation of such tools. These studies provide a framework for our current research, which aims to bridge the knowledge gap in students’ learning. Research Questions and Hypotheses Our study delves deeper into students’ perceptions and attitudes towards GenAI-ChatGPT tools in their learning, particularly in the context of writing assignments. The literature review reveals ongoing debates on issues such as plagiarism and the potential for over-reliance on AI to undermine SN Computer Science 476 Page 4 of 17 students’ critical thinking skills and evaluation abilities. In response to these debates, our study was conducted using an online questionnaire and student interviews to gain a more nuanced understanding of students’ experiences and reactions to using GenAI-ChatGPT tools. The goal of this study is to provide valuable insights into students’ responses to the feedback or answers generated by GenAI-ChatGPT tools. These insights aim to empower instructors to effectively integrate ChatGPT into curriculum design and guide students toward achieving optimal learning outcomes. The study explores the role of generative AI tools, such as ChatGPT, in student learning by addressing five key research questions derived from the literature review. These questions focus on understanding (1) the purposes for which students use ChatGPT, (2) their experiences and perceptions of its usefulness, (3) their overall satisfaction, and (4) their attitudes toward its integration into learning processes. The study addresses the following research questions: Q1 For what purposes do students use generative AI tools like ChatGPT in their learning? Q2 How do students experience the use of generative AI tools like ChatGPT in their learning? Q3 How useful do students perceive generative AI tools like ChatGPT to be in facilitating their learning? Q4 How satisfied are students with the use of generative AI tools like ChatGPT in their learning? Q5 What are students’ attitudes and reactions toward the use of generative AI tools like ChatGPT in their learning? To systematically investigate these aspects, the study formulates and tests two hypotheses. The first hypothesis examines whether students’ ratings of user experience, perceived usefulness, and satisfaction significantly exceed neutral benchmarks, while the second investigates whether these perceptions vary across different schools. These hypotheses are tested using a mixed-methods approach, combining quantitative analyses with qualitative insights from student interviews, ensuring a comprehensive understanding of the phenomenon. To address these questions, the study tests the following hypotheses: H1 Students’ mean ratings of user experience, perceived usefulness, and overall satisfaction with ChatGPT will be SN Computer Science SN Computer Science (2025) 6:476 significantly higher than the average mean on a 5-point Likert scale. H2 There will be significant differences in students’ perceptions of user experience, perceived usefulness, and overall satisfaction across different schools. Mixed Research Methods During the 2023-24 academic year, a mixed-methods approach was employed to voluntarily gather feedback on students’ perceptions and satisfaction of using GenAIChatGPT tools for learning. With the purpose of methodological triangulation [40], the data was collected and analyzed through mixed methods (i.e. both qualitative and quantitative data collection instruments, procedures and data analysis). The key advantages of methodological triangulation are to enhance the richness of the information obtained, improve the validity and reliability of the findings and eventually provide an in-depth understanding of the phenomenon under study [40]. It further helps to provide more comprehensive data and to enhance understanding of the phenomenon [41]. Quantitative Data Collection and Analysis The study began with an online survey to collect data on students’ user experiences with ChatGPT and their feedback. A customized questionnaire, based on previous research by [24, 42, 43], was created for this study. The questionnaire consisted of three main parts: the first collected information about the participants’ study program, the second asked questions related to our research goals, and the third allowed for open comments. A 5-point scale, ranging from 1 (strongly disagree), 2 (disagree), 3 (neutral), 4 (agree) to 5 (strongly agree), was used to understand students’ perceptions of using GenAI-ChatGPT tools. This scale helped us assess their opinions in a detailed way. All students were invited to participate in this online questionnaire on the topic of using GenAI-ChatGPT tools in their learning. The internal consistency of these questionnaires was assessed using a Cronbach’s Alpha test. A Cronbach’s alpha value higher than 0.7 indicated a high level of internal consistency. The three scales demonstrated high internal consistency, with Cronbach’s alpha values of 0.854, 0.920, and 0.937, respectively. The collected data was analyzed using SPSS software, employing descriptive analysis and one-sample t-tests. SN Computer Science (2025) 6:476 Page 5 of 17 Qualitative Data Collection and Analysis Subsequent to the quantitative online survey, the results were further informed with a qualitative study involving focus groups, which explored students’ perceptions and concerns regarding the use of GenAI-ChatGPT tools. Interviews with the focus groups were semi-structured, using openended questions in order to gain a deeper understanding of students’ experiences and thoughts about using GenAIChatGPT tools in their learning. Semi-structured interviews were suitable in this case because probing and open-ended questions were needed in the focus group in order to know the independent thoughts of each individual in a group [44]. The qualitative data allowed us to thoroughly explore and analyze how students perceive GenAI-ChatGPT as a learning tool and provided a comprehensive evaluation of our research objectives. A subset of 14 students out of the total 1,963 participants was selected for the focus group interview section, providing deeper insights into their experiences and reactions. 14 full-time students from the nursing and business studies disciplines were selected for the interviews to delve deeper into their learning experiences with GenAI-ChatGPT tools and their reactions to the generated responses. Table 1 Thematic analysis of qualitative data Themes Sub-themes (1) Purposes of the a. Ideas generation utilization of AI tools b. Support learning experiences for learning (2) User experience about using GenAIChatGPT tools for learning a. Be cautious to verify the authenticity, accuracy and reliability of information generated by GenAI-ChatGPT b. Take a proactive approach and avoid plagiarism c. Take a conservative approach towards verifying the accuracy of GenAI-ChatGPT response (3) Usefulness of a. Positive reception: Facilitate learning GenAI-ChatGPT tools b. Areas of improvements in facilitating learning (4) Overall satisfaction a. A valuable resource for generating about using GenAIideas for assignments ChatGPT tools for b. A dependable tool for generating sumlearning maries of notes during revision (5) Students’ attitudes a. Take cautious to avoid plagiarism and and reactions towards maintain academic integrity the utilization of b. Concern for the authenticity and reliGenAI-ChatGPT tools ability of information generated in their learning c. Employ critical thinking d. Improve learning skills e. Facilitate self-directed learning 476 Nine students from Business Administration Schools were selected to participate in two focus groups interviews on 30 April 2024. Whereas, two and four students from School of Nursing and Health Sciences were selected to participate in two focus groups interview on 16 and 25 April 2024 respectively. Each focus group interview was lasted for nearly 60 min and the entire process was audiorecorded. These recordings were transcribed with the intention to organize the disorderliness of ordinary dialogs [45]. The transcription was made in Chinese. Given it would be time-consuming and meticulous to conduct a conversational analysis [45], a simplified notation system (which was based on Poland’s [46] alternative abbreviated instructions and Silverman’s [45] simplified transcription symbols) was selected as the transcription method. After the transcription, the qualitative data was interpreted through a thematic analysis (see Table 1). Thematic analysis was adopted, because it is a common research skill shared across qualitative analyses, and it has an advantage of being highly flexible in terms of identifying themes and pattern out of the qualitative data [47]. According to [47], thematic analysis was conducted via six steps: (1) familiarizing with the qualitative data, (2) generating initial codes, (3) searching for themes, (4) reviewing themes, (5) defining Initial Codes ✓ Generating ideas for assignments/projects ✓ Drawing ✓ Seeking clarification on accounting concepts ✓ Addressing internship-related issues ✓ Practicing English language ✓ Preparing questionnaires for business cases and interviewers ✓ Summarizing articles/large volume of information ✓ Preparing questions for revision/self-assessment ✓ Verifying the correctness of information generated by GenAI-ChatGPT ✓ Employing cross-referencing approach ✓ Relying on their own cognitive sense / clinical sense / lecturer notes ✓ Employing various methods to identify unreliable or inauthentic information ✓ Perceiving responses from GenAI-ChatGPT as incorrect or superficial ✓ Using additional sources (such as Google search, lecture notes and previous clinical experience) ✓ Providing timely feedback ✓ Providing summary to enhance understanding after lectures ✓ Need to enhance information accuracy and appropriateness ✓ Useful for general subjects such as Management and Core Values. ✓ Not as beneficial for specific subjects such as Accounting / Nursing courses. ✓ Setting prompts ✓ Cross-referencing ✓ Reviewing works/assignments multiple times ✓ Rephrasing answers based on their own writing before submission ✓ Adding personal touch to the content ✓ Verifying facts and sources from Google search ✓ Improving skills in reading, questioning, expression, paraphrasing, writing, quick response, analysis, evaluation, consolidation and creativity SN Computer Science 476 Page 6 of 17 SN Computer Science and naming themes, and (6) producing a report. Steps 1–3 were performed independently by each author. Then, all themes, sub-themes and codes were reviewed, discussed and agreed among all authors (i.e. Steps 4–5). Lastly, the qualitative analysis report was produced (i.e. Step 6) based on the following five key themes: (1) Purposes of the utilization of AI tools for learning; (2) User experience about using GenAI-ChatGPT tools for learning; (3) Usefulness of GenAI-ChatGPT tools in facilitating learning; (4) Overall satisfaction about using GenAI-ChatGPT tools for learning; and. (5) Students’ attitudes and reactions towards the utilization of GenAI-ChatGPT tools in their learning. Results and Discussion The survey was conducted from 17 November 2023 to 31 January 2024, inviting 28,054 students from full-time, parttime, and distance learning courses to participate. Participation was entirely voluntary, and a total of 2,887 students responded, yielding a response rate of 10.3%. This response rate is consistent with rates observed in large-scale online surveys, particularly in educational research involving diverse student populations [48, 49]. The absolute sample size of 2,887 respondents is substantial and provides a robust dataset for quantitative analysis. For many statistical analyses, a sample of this magnitude is sufficient to detect meaningful effects and ensure reliable results. Furthermore, the demographic characteristics of respondents closely align with those of the larger student population, enhancing the generalizability of the findings and ensuring that diverse perspectives are represented. The distribution of respondents was proportionate among the schools (see Table 2). The majority of respondents were full-time students (78%) and were enrolled in undergraduate programs (61%). Notably, nearly 70% of the respondents reported using GenAI-ChatGPT tools for learning during the 2023–2024 academic year, highlighting the widespread adoption of these tools among students. Table 2 Respondents’ distribution by schools School Arts and Social Sciences Business and Administration Education and Languages Science and Technology Nursing and Health Sciences LiPACE Total respondents SN Computer Science No. of response (%) 466 (16%) 648 (22%) 277 (10%) 517 (18%) 514 (18%) 465 (16%) 2,887 (100%) (2025) 6:476 A significant majority of respondents (68% or 1,963 individuals) expressed a preference for using GenAI-ChatGPT tools for their learning. This preference was most pronounced among full-time students, with 56% (1,601 individuals) indicating their use of GenAI-ChatGPT tools. Distance learning students also showed a notable interest, with 9% (270 individuals) utilizing GenAI-ChatGPT tools for their learning. Among part-time students, 3% (92 individuals) reported using GenAI-ChatGPT tools. The data suggests that GenAI-ChatGPT tools is a preferred tool for learning, particularly among full-time students. The 1,963 respondents who reported using GenAI-ChatGPT tools for learning were asked to specify which tools they used. More than half of the respondents reported using the HKMU ChatGPT Web Portal (56%) and Poe (52%), followed by Microsoft Bing Chat (15%). Some respondents also reported using other AI tools currently available in the market. Interestingly, students demonstrated high awareness of other GenAI tools available in the market, with students reporting use of 44 different GenAI tools, including Open AI, Chatbots, writing tools, image generators, and translation tools. The study utilized questionnaires focusing on three main aspects: user experience, usefulness, and overall satisfaction. The overall mean score was 3.93 (see Table 3), which exceeded the average mean score of the 5-point Likert scale (mean = 3.00). Statistical Analysis and Results. One-Tailed t-Tests. To test H1, one-tailed t-tests were conducted to compare the mean scores for each aspect—user experience, usefulness, and overall satisfaction—against the average mean of the Likert scale (Mean = 3.00). The results, summarized in Table 4, revealed statistically significant differences between the mean scores and the test value of 3.00. Specifically, the mean scores for user experience (Mean = 4.0062, t = 81.949, p < 0.001), usefulness (Mean = 3.8251, t = 55.319, p < 0.001), and overall satisfaction (Mean = 3.9816, t = 71.005, p < 0.001) were all significantly higher than the average mean. These findings indicate that students had a positive user experience with GenAI-ChatGPT tools, perceived them as useful for their learning, and expressed overall satisfaction with their use, addressing research questions (Q2, Q3, and Q4), respectively. The large t-values and p-values < 0.001 underscore the robustness of these findings, suggesting that students’ positive perceptions of GenAI-ChatGPT tools are not only statistically significant but also practically meaningful. Notably, user experience received the highest mean score (Mean = 4.0062), followed closely by overall satisfaction (Mean = 3.9816) and usefulness (Mean = 3.8251). This SN Computer Science (2025) 6:476 Page 7 of 17 476 Table 3 Descriptive statistics N = 1963 students indicated that they have used the GenAI/ ChatGPT for their learning Table 4 Results of one-tailed t-test Scale Mean Std. Deviation t User Experience Usefulness Overall satisfaction 4.0062 3.8251 3.9816 81.949 55.319 71.005 Sig. (right tailed) 0.000 0.000 0.000 Mean Square 2.913 0.409 F Sig. 7.117 0.000 Mean Square 3.935 0.525 F Sig. 7.489 0.000 Mean Square 3.372 0.496 F Sig. 6.804 0.000 0.54401 0.66085 0.61251 Table 5 Result of one-way ANOVA User_experience Sum of df Squares Between Groups 14.565 5 Within Groups 1179.140 2881 Total 1193.705 2886 Usefulness Sum of df Squares Between Groups 19.675 5 Within Groups 1513.779 2881 Total 1533.454 2886 Overall_satisfaction Sum of df Squares Between Groups 16.862 5 Within Groups 1427.994 2881 Total 1444.855 2886 hierarchy of scores may reflect students’ prioritization of ease of use and satisfaction over perceived utility, a finding that aligns with prior research on technology adoption in educational contexts [50, 51]. One-Way ANOVA. To test H2, a one-way ANOVA was conducted to examine whether there were significant differences in students’ perceptions of GenAI-ChatGPT tools across schools. The results, summarized in Table 5, revealed p-values < 0.05 for all three scales—user experience, perceived usefulness, and overall satisfaction—indicating significant variation in mean scores across schools. This suggests that students’ experiences with GenAI-ChatGPT tools may differ depending on their school of enrollment, addressing Q2, Q3, and Q4. The F-values further confirmed that the between-group differences were statistically significant. The ANOVA results highlight the influence of contextual factors, such as school-specific curricula, teaching methods, or disciplinary focus, on students’ perceptions of GenAIChatGPT tools. For example, students in schools with a stronger emphasis on independent learning or technical disciplines may have found GenAI-ChatGPT tools particularly useful for concept clarification and refining written work, while those in schools with a focus on collaborative or creative tasks may have valued its role in problem-solving and generating ideas. The findings from the qualitative and quantitative methods were complementary, providing a comprehensive understanding of students’ experiences with GenAIChatGPT tools. While the quantitative analysis highlighted statistically significant differences in perceptions across schools, the qualitative data offered deeper insights into the nuances of these variations. For instance, students from some schools emphasized GenAI-ChatGPT tools’ utility for clarifying complex concepts, solving technical problems, and generating creative ideas. These differences suggest that the perceived value of GenAI-ChatGPT tools is closely tied to the specific learning needs and contexts of students in different schools. Moreover, qualitative responses revealed that students’ user experience was influenced by factors such as ease of use, response accuracy, and the ability to customize interactions. Similarly, perceived usefulness was often linked to the tool’s ability to save time, enhance understanding, and support diverse learning tasks. Overall satisfaction was frequently associated with the tool’s reliability, accessibility, SN Computer Science 476 Page 8 of 17 and alignment with students’ academic goals. These qualitative insights enrich the quantitative findings and underscore the importance of considering contextual factors when integrating generative AI tools into educational practices. Purposes of the Utilization of AI Tools for Learning The study sought to understand the various purposes for which students utilized GenAI-ChatGPT tools in their learning process. Participants were given the option to select multiple purposes based on their usage patterns. Over half of the respondents (50%) reported using these tools for idea generation, suggesting that GenAI-ChatGPT tools effectively facilitate creative thinking. Additionally, a significant number of participants (39%) used AI tools for information collection, and 33% used them for translation purposes, underscoring the value of these tools in accessing and understanding information. The study also found that GenAI-ChatGPT tools were frequently used for writing-related tasks. For instance, 23% of the participants used these tools for language editing, indicating the usefulness of AI in enhancing written work. Similarly, 23% of the respondents used the tools for drafting outlines, which aids in organizing thoughts and structuring written assignments. A smaller percentage of respondents (11%) used the tools for paraphrasing original texts, while 9% used them to write specific sections of their texts. Themes from the qualitative interview confirmed students’ use of ChatGPT from quantitative data. Interviews with the participants revealed that business and nursing students primarily used GenAI-ChatGPT tools for idea generation. Further to that, qualitative helped to understand students’ use of ChatGPT habit. Business students reported using these tools for a wider range of purposes, including drawing, seeking clarification on accounting concepts, addressing internship-related issues, practicing language learning through chatbot interactions, and preparing questionnaires for business cases and interviews. This demonstrates the versatility and adaptability of GenAI-ChatGPT tools in supporting academic endeavors. Some students also highlighted the value of the summary function offered by GenAI-ChatGPT tools. They reported uploading lengthy articles and requesting the tool to provide summaries, thereby saving time by avoiding the need to read through the entire text. This feature illustrates how GenAI-ChatGPT tools can assist students in efficiently digesting large volumes of information. Furthermore, they found GenAI-ChatGPT tools useful for preparing multiple-choice questions and quiz questions for self-assessment during the revision process. This application enhances students’ understanding and retention of course materials. SN Computer Science SN Computer Science (2025) 6:476 These findings align with previous studies [13, 52, 53], which found that GenAI-ChatGPT tools are widely adopted for various writing-related tasks in the educational context. The consistent findings across studies reinforce the recognition of GenAI-ChatGPT’s effectiveness and its ability to cater to the diverse needs of students across disciplines. In addition, their usage of AI tools is further examined and categorized based on Bloom’s taxonomy (see Table 6). While both business and nursing students reported that they normally used the AI tools to support their learning, their usage is mainly for the development of lower-order thinking skills, which include: 1. Remembering (e.g., summarizing learning materials and revising for course assessments); 2. Understanding (e.g., understanding course knowledge and checking grammar in assignments); 3. Applying (e.g., applying knowledge to address problems in the internship and practicing English). The use of AI tools does not only facilitate lower-order thinking; both business and nursing students reported that they would use AI tools to generate new ideas or brain storm ideas for their assignments. Business students would also use AI tools for drawing and designing questionnaires. These findings indicate that students use AI tools to develop their higher-order thinking skills, mainly focusing on creating or producing new ideas. However, they seldom use AI tools for evaluation and analysis. The reason for not using AI tools in the higher-order thinking is multi-factorial. Based on current study, further exploratory research is needed to address the learning behavior in higher-level thinking. Was the behavior come with intention to use AI tool while hindered by factors such as information accuracy or intension not to use for some other reasons. In conclusion, the interviews with business and nursing students revealed the multifaceted applications of GenAIChatGPT beyond idea generation. The tool’s adaptability in supporting learning experiences, as demonstrated by its use in drawing, seeking clarification, addressing realworld challenges, practicing language skills, summarizing articles, and preparing assessment questions, contributes to the growing body of evidence highlighting the widespread adoption and effectiveness of GenAI-ChatGPT tools in various writing-related tasks within the educational domain. User Experience about Using GenAI-ChatGPT Tools for Learning A significant majority of respondents (over 70%) reported a positive experience, finding the tools to be interesting (78%), effective for their learning (77%), and user-friendly (72%). SN Computer Science (2025) 6:476 Page 9 of 17 Table 6 Usages of AI tools: categorization based on Bloom’s taxonomy Bloom’s taxonomy - Cognitive process dimension 1) Create: Produce new or original work (Design, assemble, construct, develop, formulate, author, investigate or invent) 2) Evaluate: Justify a stand or decision (Appraise, argue, defend, judge, select, support, value or evaluate) 3) Analyse: Draw connection among ideas (Differentiate, organize, relate, compare, contrast, distinguish, examine, experiment, question or test) 4) Apply: Use information in new situation (Execute, implement, solve, use, demonstrate, interpret, operate, sketch or employ) 5) Understand: Explain ideas and concepts (classify, describe, discuss, explain, identify, locate, recognize, report, select, translate or paraphrase) 6) Remember: Recall facts and basic concepts (define, duplicate, list, memorize, repeat, reproduce, recall or state) Self-reported Used Cases Business Students ✓ Generating new ideas for assignments / projects ✓ Drawing ✓ Designing questionnaires for business cases and interviews No data No data Nursing Students ✓ Drafting or brainstorming new ideas in assignment writing No data No data No data ✓ Applying knowledge to address internship-related issues ✓ Practicing English language ✓ Seeking clarification on account- ✓ Understanding ing concepts course content ✓ Checking grammar in assignment writing ✓ Summarizing business articles ✓ Summarizing / cases course content ✓ Preparing questions for revisions ✓ Remembering / self-assessments course content ✓ Doing revision of written tests / exams Table 7 User experience about using GenAI-ChatGPT tools for learning User Experience about Using GenAI-ChatGPT Tools Interesting Helpful and effective for learning Easy to use Amazed by the capabilities of GenAI-ChatGPT tools Able to use it appropriately to avoid plagiarism Able to determine the authenticity of information generated from GenAI-ChatGPT tools Able to understand my questions Better than other search engines like Google Provide information / organize seminars about GenAI-ChatGPT tools by HKMU Need to be improved Overall Additionally, more than 60% of respondents expressed admiration for the capabilities of GenAI-ChatGPT tools. In terms of academic integrity, a substantial proportion of respondents (over 60%) indicated their ability to use the tools appropriately to avoid plagiarism. Nearly 60% also stated their capability to determine the authenticity of information generated by the GenAI-ChatGPT tools. Despite the overall positive feedback, 77% of respondents suggested that GenAI-ChatGPT tools still required further refinement. Almost half of the respondents (43%) reported difficulties in having their queries understood by these tools, and 50% did not consider them superior to other search engines. Over 50% of respondents expressed a desire for the university to provide more information and seminars about GenAI-ChatGPT tools to enhance their learning experience. 476 N 1963 1963 1963 1963 1963 1963 1963 1963 1963 1963 1963 Mean 4.23 4.26 4.17 3.94 4.09 3.88 3.80 3.69 3.73 4.28 4.00 Std. Deviation 0.707 0.720 0.761 0.837 0.846 0.874 0.843 0.950 0.937 0.760 0.544 The user experience was further explored through a 5-point Likert scale. As indicated in Table 6, the overall mean score for students’ perception of the user experience with GenAI-ChatGPT tools was 4.00. A one-sample t-test revealed a significant difference between the mean score of 4.00 and the hypothetical mean of 3.00 (t = 81.949, p = 0.000) (see Table 7). This indicates that students’ perception of the user experience with GenAI-ChatGPT tools was significantly higher than the average. As presented in Table 6, a notable aspect of these perceptions was the high level of perceived helpfulness and effectiveness of these tools for learning, with a significantly higher mean score (mean = 4.26) compared to other aspects. This suggests that students found these tools to be a significant contributor to their learning process. SN Computer Science 476 Page 10 of 17 Other aspects of the user experience also received high mean scores. Specifically, students found the tools interesting (mean = 4.23), easy to use (mean = 4.17), and effective in maintaining academic integrity by avoiding plagiarism (mean = 4.09). However, students also expressed a desire for improvements in the authenticity and reliability of the generated content and the comprehensibility of human input prompts, as indicated by relatively high mean scores (mean = 4.28). The remaining items assessing user experience received lower scores, but still remained above the average level, contributing positively to the overall user experience. Onesample t-tests were conducted to evaluate the significance of these mean scores, revealing statistically significant differences (p < 0.05) between each of these mean scores and the test value of 3.00. This affirms the students’ positive perceptions of their user experience with GenAI-ChatGPT tools. The findings suggest that the majority of students had a positive perception of their user experience with GenAIChatGPT tools in the context of learning. They found these tools interesting, helpful, and easy to use, demonstrating their potential to enhance the learning process. However, the respondents also highlighted areas for improvement, such as enhanced understanding of user queries and the need for further development. The students’ desire for more information and seminars indicates their interest in gaining a deeper understanding of GenAI-ChatGPT tools to maximize their learning outcomes. To further understand these perceptions, interviews were conducted with students. Business students emphasized the importance of verifying the correctness of information generated by GenAI-ChatGPT tools, employing a crossreferencing approach. They compared the information provided by the tool with other sources such as search engines, handouts, and lecture materials. This cautious approach was driven by their experiences with the tool, where they encountered incorrect terms or information [54–56]. Business students also relied on their cognitive sense and employed various methods to identify unreliable or inauthentic information. They checked the accuracy of their lecture notes and verified the information through other credible websites or conducting Google searches. This proactive approach was fostered by their experiences and the realization that marks could be deducted if the Turnitin AI detector identified that the assignments were completed with the assistance of GenAI-ChatGPT tools without proper acknowledgement. The phenomenon was observed also in nursing students who would double confirm results generated from AI tools. The picture may explain the results of current study that use of AI tool was predominantly in lower-level thinking - to summarize and remember of material from which information accuracy was safeguarded. As SN Computer Science SN Computer Science (2025) 6:476 reported in other studies, information accuracy in healthcare fields still has room for improvement. Reason to explain the lack of use of AI tool in higher-level thinking in certain discipline merits further research. The quantitative data reflected student’s high desire in improvement of ChatGPT, which was supplemented by the qualitative data. Nursing students, in particular, exhibited a conservative approach toward the accuracy of GenAIChatGPT’s responses when used in nursing subjects. They perceived the responses provided by GenAI-ChatGPT tools as incorrect or superficial. These findings align with other studies that have raised concerns about GenAI-ChatGPT tools generating incorrect citations, incorrect content [55–60], and superficial content [61, 62]. Nursing students also reported a tendency to verify GenAI-ChatGPT tools responses using additional sources such as Google search, lecture notes, and previous clinical experiences. Plagiarism concerns were also mentioned, as reported in other studies [55, 58, 59, 63, 64]. These findings stand in contrast to the conclusions drawn by [64], whose study suggested that students tended to rely solely on GenAI-ChatGPT tools without verifying the authenticity of the generated content. In our study, however, business and nursing students exhibited a greater level of caution and alertness. This difference can be attributed to the students’ awareness of the potential inaccuracy of certain GenAI-ChatGPT tools models’ feedback on assignments, which was explicitly communicated to them. Consequently, they developed a proactive approach to ensure the credibility and integrity of their work. In conclusion, while students recognized the benefits of using GenAI-ChatGPT tools in their learning process, they did not fully depend on it. The majority of students exhibited confidence in their ability to avoid plagiarism and determine the authenticity of information generated by GenAI-ChatGPT tools. These findings emphasize the significance of students’ critical thinking skills and their commitment to ensuring the accuracy and reliability of the information they incorporate into their academic work. Usefulness of GenAI-ChatGPT Tools in Facilitating Learning The findings indicate that a significant majority of students (71%) found these tools to be beneficial, making their learning more convenient. Nearly two-thirds of students (65%) reported that GenAI-ChatGPT tools positively impacted their study habits and learning approaches, underscoring the significance of GenAI-ChatGPT tools in their educational journey (62%). The practicality of GenAI-ChatGPT tools in facilitating learning was recognized by a majority of respondents. SN Computer Science (2025) 6:476 Page 11 of 17 Table 8 One-sample t-test of user experience about using GenAI-ChatGPT tools for learning T-Test Value = 3 t df Sig. Mean Difference (1-Tailed) User Experience 81.949 1962 0.000 1.00621 Table 9 Usefulness of GenAI-ChatGPT tools in facilitating learning Usefulness of GenAI-ChatGPT Tools Made learning more convenient Had a positive impact on my study habits and learning approach Able to provide good explanation To a great extent important to learning process Have broadened knowledge about subject area Helped understand complex concepts in studies effectively Able to provide well-structured answers Enhanced academic writing skills Strongly recommend it as a learning tool to peers Provided support and guidance comparable to that of a human tutor or instructor Overall Notably, 64% of students indicated that the tools provided good explanations, 61% reported that the tools broadened their knowledge about the subject area, and 60% stated that the tools assisted in understanding complex concepts effectively. Over half of the respondents acknowledged that the tools could provide well-structured answers and enhance their academic writing skills, leading them to recommend these tools as a learning resource to their peers. However, students’ opinions diverged regarding the GenAI-ChatGPT tools’ ability to provide support and guidance comparable to that of a human tutor or instructor. Specifically, only 30% of the respondents agreed that GenAI-ChatGPT tools could offer support and guidance on par with a human instructor, indicating room for improvement in replicating human-like guidance and support. As indicated in Table 8, the overall mean score for students’ perception of the usefulness of GenAI-ChatGPT tools was 3.82. A one-sample t-test was conducted to evaluate the significance of this mean score, revealing a significant difference between the mean score of 3.82 and the hypothetical mean of 3.00 (t = 55.319, p = 0.000) (see Table 9). This indicates that the usefulness of GenAI-ChatGPT tools in learning and assignment writing was significantly higher than the average. As presented in Table 8, two notable aspects of these perceptions were the high levels of perceived convenience and positive impact on study habits and learning approaches. These aspects stood out prominently, with significantly higher mean scores (mean = 4.15 and mean = 4.01, respectively) compared to other aspects. This suggests that students found these tools to be a significant contributor to their learning process. N 1963 1963 1963 1963 1963 1963 1963 1963 1963 1963 1963 476 95% Confidence Interval of the Difference Lower Upper 0.9821 1.0303 Mean 4.15 4.01 3.98 3.94 3.93 3.93 3.74 3.74 3.79 3.06 3.82 Std. Deviation 0.740 0.766 0.830 0.801 0.836 0.860 0.876 0.918 0.873 1.118 0.661 Other aspects of the usefulness of GenAI-ChatGPT tools also received high mean scores. Specifically, students found the tools to provide good explanations (mean = 3.98), perceived them as important to the learning process (mean = 3.94), and found them helpful in broadening their knowledge about the subject area and understanding complex concepts effectively (mean = 3.93). However, students also expressed a desire for improvements in the tools’ ability to provide well-structured answers and enhance academic writing skills, as indicated by relatively lower mean scores (mean = 3.79, mean = 3.74, and mean = 3.74, respectively). The lowest mean score was associated with the statement that GenAI-ChatGPT tools could provide support and guidance comparable to that of a human tutor or instructor (mean = 3.06), just slightly above the average value of 3. This indicates that students desired the presence of a human tutor rather than relying solely on GenAI-ChatGPT tools to replace the tutor’s role. To further understand these perceptions, interviews were conducted with students from business and nursing schools. The students recognized effective communication between instructors and students as a means to facilitate learning [65]. Such communication enhances student learning, academic performance, and engagement. GenAI-ChatGPT tools have the potential to provide timely feedback to students, emphasizing the importance of enhancing information accuracy and its appropriate use in nursing education. In the current study, students expressed higher confidence in the accuracy of information if the sources used by GenAI-ChatGPT tools were limited to trustworthy ones. Perceived usefulness and convenient to use are key determinants of technology adoption according to Technology SN Computer Science 476 Page 12 of 17 SN Computer Science Table 10 One-sample t-test of usefulness of GenAI-ChatGPT tools in facilitating learning T-Test Value = 3 t df Sig. Mean Difference (1-Tailed) Usefulness of GenAI-ChatGPT tools 55.319 1962 0.000 0.82511 Table 11 Overall satisfaction about using GenAI-ChatGPT tools for learning Overall Satisfaction about Using GenAI-ChatGPT Tools Helpful and effective for learning Easy to use Amazed by the capabilities of ChatGPT / AI tools Able to use it appropriately to avoid plagiarism Able to understand my questions Made learning more convenient Had a positive impact on my study habits and learning approach Able to provide good explanation To a great extent important to learning process Have broadened knowledge about subject area Able to provide well-structured answers Enhanced academic writing skills Overall satisfied Overall Acceptance Model [66]. Perceived usefulness is the essence of building up one’s attitude and intention to the use of brand new technology [24]. When using ChatGPT to write assignment, nursing students generated idea with ChatGPT, and follow-up prompt was used to shape the ChatGPT output. Further, students were satisfied with making summary by using ChatGPT, given the data entered were from lecture notes, perceived as reliable to them. Students reported that the clear summary enhanced their understanding of extensive lecture content, which resulted in better efficiency of learning. Personalized responses to students can further facilitate learning [67]. The study by [68] demonstrated that personalized chatbot interactions led to better academic performance compared to generic feedback. Timely feedback allows for the quick identification of knowledge gaps and areas requiring clarification, facilitating in-depth exploration of specific topics, such as case scenarios and the management of certain patient types in nursing education. Given ensured information accuracy, some studies have suggested incorporating GenAI-ChatGPT tools into teaching and learning activities, such as classroom sessions or simulations, in nursing education to promote active learning [69, 70]. In conclusion, the study underscores the generally positive reception of GenAI-ChatGPT tools among students, emphasizing their potential as valuable resources for academic purposes. However, it also highlights the need for continuous refinement and addressing areas of improvement to meet students’ evolving expectations and requirements. SN Computer Science N 1963 1963 1963 1963 1963 1963 1963 1963 1963 1963 1963 1963 1963 1963 (2025) 6:476 95% Confidence Interval of the Difference Lower Upper 0.7959 0.8544 Mean 4.26 4.17 3.94 4.09 3.80 4.15 4.01 3.98 3.94 3.93 3.74 3.74 4.02 3.98 Std. Deviation 0.720 0.761 0.837 0.846 0.843 0.740 0.766 0.830 0.801 0.836 0.876 0.918 0.744 0.613 Overall Satisfaction about Using GenAI-ChatGPT Tools for Learning The findings indicate that a significant majority of students (65%) expressed satisfaction with their experience of using these tools for learning. As presented in Table 10, the overall mean score for the satisfaction with GenAI-ChatGPT tools was 3.98. A one-sample t-test was conducted to evaluate the significance of this mean score, revealing a significant difference between the mean score of 3.98 and the hypothetical mean of 3.00 (t = 71.005, p = 0.000) (see Tables 11 and 12). This indicates that the overall satisfaction with GenAIChatGPT tools in learning and assignment writing was significantly higher than the average. When examining the specific components of overall satisfaction, students were asked about their satisfaction with various aspects of the tools. The responses indicated a high level of satisfaction (mean = 4.02) in various areas. Notably, items related to the tools being helpful and effective for learning received high mean scores (mean = 4.26), suggesting that students found the tools valuable in facilitating their learning process. Additionally, the ease of use (mean = 4.17), the tools’ ability to make learning more convenient (mean = 4.15), and their positive impact on study habits and learning approaches (mean = 4.01) were all highly rated. These findings imply that students were satisfied with GenAI-ChatGPT tools in facilitating their learning and assignment writing. SN Computer Science (2025) 6:476 Page 13 of 17 Table 12 One-sample t-test of overall satisfaction about using GenAI-ChatGPT tools for learning T-Test Value = 3 t df Sig. Mean Difference (1-Tailed) Overall Satisfaction 71.005 1962 0.000 To further understand these perceptions, interviews were conducted with students from business and nursing schools. Nursing students found GenAI-ChatGPT tools to be a valuable resource for generating ideas for their assignments. Instead of relying solely on provided paragraphs, they wrote their essays based on the ideas provided by GenAIChatGPT tools. Similarly, business students shared a similar perspective. While they found GenAI-ChatGPT tools useful for general subjects such as management and core values, they did not find them as beneficial for specific subjects like Accounting, as the responses provided were often superficial and lacked the depth necessary for their assignments. This study found that business and nursing students expressed overall satisfaction with GenAI-ChatGPT as a valuable tool for generating ideas in writing assignments and as a convenient and dependable tool for generating summaries of notes during revision. These findings align with previous studies conducted by [24, 43, 71, 72]. However, both groups of students expressed concerns about the reliability of the responses generated by GenAI-ChatGPT tools. Although the use of GenAI-ChatGPT tools was not extensive among these students, they exhibited positive attitudes towards embracing this novel technology. To encourage better adoption of GenAI-ChatGPT tools among these students, it is necessary to provide continuous education and guidance on their use, addressing topics such as usage guidelines and plagiarism issues. Additionally, efforts should be made to advance the tool to address concerns related to data security and reliability. In conclusion, the results of this study demonstrate a high level of overall satisfaction among students regarding the use of GenAI-ChatGPT tools for learning. The tools were found to be helpful, effective, and convenient, thereby making a positive impact on students’ study habits and learning approaches. These findings highlight the usefulness and effectiveness of GenAI-ChatGPT tools in enhancing the learning experience for students. Students’ Attitudes and Reactions Towards the Utilization of GenAI-ChatGPT Tools in their Learning To gain further insight into the students’ reactions to the responses and feedback generated by GenAI-ChatGPT tools, interviews were conducted with students from both business and nursing schools. During these interviews, 0.98162 476 95% Confidence Interval of the Difference Lower Upper 0.9545 1.0087 students elaborated on their learning process and how they utilized the tools. Both groups of students mentioned that they were able to effectively use GenAI-ChatGPT tools to avoid plagiarism. They described their approach, which involved setting the prompts, cross-referencing information from Google search to verify facts, and reviewing their work multiple times to rephrase the answers or their own writing before submission. The students expressed a sense of caution and mentioned being apprehensive about their assignments being flagged by AI plagiarism detectors. As a result, they took extra precautions to ensure that their work appeared original and authentic. By setting specific prompts and cross-referencing information, students demonstrated their active engagement with the GenAI-ChatGPT tools. They used the generated responses as a basis for their own writing, incorporating their own ideas and adding a personal touch to the content. This process allowed them to strike a balance between utilizing the AI-generated content and maintaining their own originality. Business students reported using GenAI-ChatGPT tools for a variety of purposes, including seeking clarification on business concepts, summarizing articles, addressing internship-related issues, and practicing language learning. However, they also expressed concerns about the authenticity and reliability of the information provided by these tools, particularly in relation to business cases or statistics and figures. In response to these concerns, students reported verifying the data from GenAI-ChatGPT tools using other sources, such as Google search or company websites. This demonstrates a cautious approach to the use of these tools, highlighting the importance of critical thinking and information literacy skills in the digital age [13, 23, 30]. Many nursing students reviewed their assignments multiple times and rephrased answers to ensure originality, driven by the fear of detection by AI plagiarism detectors. The cautious attitude exhibited by the students in our study highlights their awareness of the limitations and potential pitfalls of relying solely on GenAI-ChatGPT-generated content. By employing critical thinking skills and cross-referencing information from multiple sources, students aimed to ensure the accuracy and reliability of the information they incorporated into their work. The findings suggest that students are cognizant of the need for proper validation and SN Computer Science 476 Page 14 of 17 verification, which is essential for maintaining academic integrity and ensuring the quality of their assignments. Regardless of the perceived risk, students carried positive attitude towards future trend on use of ChatGPT tools. Positive attitudes can positively influence the adoption of new technology [73, 74]. Those factors could contribute to their positive attitude of using the technology. Promotion and education on use of ChatGPT tools can bring about better adoption [75, 76], by reinforcing perceived benefit and minimizing perceived risk. During the utilization of GenAI-ChatGPT tools, students reported perceiving improvements in various learning skills. These encompassed reading skills, questioning skills, expression skills, quick reaction skills, analyzing/evaluating skills, consolidating skills, and creating skills. Business students frequently mentioned that GenAIChatGPT tools provided prompt feedback, which compelled them to read quickly and comprehend the meaning, leading to enhancements in their quick reaction and analytical abilities. In cases where the feedback or response generated by GenAI-ChatGPT tools did not meet their expectations, students engaged in rephrasing and modified their prompts to align with their desired answers and intended direction. Following the generation of a response, students expressed the need to review and consolidate the main points while infusing their own creativity to present the information in a fresh manner, rather than merely copying from GenAI-ChatGPT tools. Consequently, they contemplated whether the investment of time in this rephrasing task was worthwhile. Nursing students reported enhanced reading and questioning skills when upon using GenAI-ChatGPT tools. GenAI-ChatGPT tools output used in nursing subjects may be incorrect or superficial. Students would need to advance skills in prompt setting and doing follow-up prompts. Reading skill was enhanced upon repeatedly reading the output and double checking with other sources. Questioning skill was also enhanced when doing follow-up prompt. For superficial or non-specific GenAI-ChatGPT output, students would attempt to generate multiple prompts, one after each output, to refine the GenAI-ChatGPT output. Furthermore, students would use the GenAI-ChatGPT chatbot to generate quizzes to facilitate revision. Following that, answers of the quizzes would be generated with chatbot for performance evaluation. The study also revealed that some students expressed their intention to primarily use GenAI-ChatGPT tools for idea generation in writing assignments. Furthermore, students mentioned that they learned new vocabulary and writing styles from the content generated by ChatGPT tools, suggesting that the tool can be used to improve writing skills [77]. This suggests that while they recognized the tool’s value in assisting with idea generation, they were SN Computer Science SN Computer Science (2025) 6:476 cautious about relying on it too heavily for the entirety of their writing process. This cautious approach aligns with the findings of the study [71], which revealed that students used GenAI-ChatGPT tools to research and generate content, thereby enhancing their critical thinking skills. These observations illustrate how the use of GenAIChatGPT tools can impact various learning skills. Students not only benefit from the prompt feedback and quick reactions facilitated by the tool but also engage in critical thinking and creative synthesis as they rephrase and consolidate information. While GenAI-ChatGPT tools offers valuable support, students’ awareness of the need to balance their reliance on the tool with their individual efforts highlights the importance of developing self-directed learning skills. Through interviews conducted with business and nursing students, this study provided a detailed exploration of their perceptions regarding the use of GenAI-ChatGPT tools. The findings indicate that students have shown a positive attitude towards embracing this new technology, which can be attributed to factors such as promotion and education on the use of GenAI-ChatGPT tools. Students have recognized the value of these tools in facilitating quick thinking and response. However, they have also expressed a keen understanding of the importance of analyzing information for accuracy and reliability during their learning process. It is crucial for students to exercise caution when utilizing these tools, considering their limitations, and emphasizing the significance of verifying information from multiple sources. Contributions, Practical Implications and Future Research This study uses triangulation to better understand student’s perception and satisfaction of using GenAI-ChatGPT tools for learning. It makes contribution to knowledge by providing a comprehensive analysis of student perceptions regarding their user experience with GenAI-ChatGPT tools, revealing several significant findings. Despite areas identified for improvement, particularly in authenticity, reliability, and comprehensibility, the tools were highly praised for their effectiveness in supporting learning, user-friendliness, and novelty. The positive perceptions were further validated by statistically significant differences between the mean scores and the test value, offering valuable insights for the development and refinement of GenAI-ChatGPT tools to better meet student needs and expectations. Through interviews with business and nursing students, the study explored their perceptions of GenAI-ChatGPT tools. Students demonstrated a positive attitude towards this new technology, recognizing its value in facilitating quick thinking and response. However, they also acknowledged the SN Computer Science (2025) 6:476 importance of analyzing information for accuracy and reliability, emphasizing the need for caution and verification of information from multiple sources when utilizing these tools. The findings carry significant implications for educational institutions and instructors aiming to integrate AI tools into the learning environment. By reflecting on student perceptions and feedback, instructors can better understand how to leverage the potential of AI tools like GenAI-ChatGPT to foster various learning skills, including critical thinking, writing, and analytical abilities and develop higher-order thinking skills. At the same time, it is crucial to promote ethical and responsible practices when utilizing AI-generated content. Therefore, the development of best practices and guidelines for the integration of GenAI-ChatGPT tools and other AI tools in education should be further elaborated and reinforced. There are some limitations in this study, including self-selection bias, social desirability bias, and non-response bias. Given that participants who voluntarily engaged with GenAI-ChatGPT tools may have more favorable attitudes toward technology, it may potentially lead to self-selection bias. To minimize this bias, participants were selected from diverse disciplines and varied backgrounds. Additionally, the participants in the focus groups were selected using convenience sampling. Their attitudes towards GenAI-ChatGPT tools were unknown before the semi-structured interviews. Nevertheless, future research can increase the sample size (particularly for qualitative research) and use random sampling of students from various backgrounds to avoid the self-selection bias. Concerning social desirability bias, participants might provide overly favorable responses due to perceived expectations of AI technology. In order to reduce this potential bias, anonymity and confidentiality were assured in the survey. In addition to student perception and satisfaction, future research can also collect data on student performance (such as grade improvement, knowledge retention, and error rate, etc.) and adopt a pretest-posttest control group design. These objective measures and research designs can provide insights into how these AI tools can facilitate student performance, promote positive outcomes and enrich learning experience. Lastly, non-response bias might arise if those who did not participate or complete the study differ in their perceptions. Email reminders were sent out to improve the response rate. To further reduce non-response bias, future research can use appropriate incentives to encourage participation. Given that the ChatGPT Web Portal has been launched in HKMU since 2023, this study serves as a deep and focused evaluation of such an AI tool to HKMU. ChatGPT was selected for this study due to its widespread usage, accessibility, and versatility across disciplines, making it highly relevant to students in higher education. Its robust natural Page 15 of 17 476 language capabilities and user-friendly design ensure consistent performance and ease of integration for participants. Its prominence in existing literature provides a strong basis for benchmarking and contextualizing the study’s findings. It also helps to avoid the complexities of comparing multiple tools. As GenAI tools continue to evolve, ongoing research and development efforts are necessary to ensure ethical and meaningful student engagement, thus preparing students for success in an AI-enabled world. Author Contributions Joey Ng, Mavis Tong, Eva YM Tsang, Kevin Chu and William Tsang contributed to the design and implementation of the research, to the analysis of the results and to the writing of the manuscript. In particular, Eva YM Tsang contributed to the quantitative study. Joey Ng and Kevin Chu contributed to the qualitative study of Business students; Mavis Tong and William Tsang contributed to the qualitative study of Nursing students. Funding Not Applicable. Data Availability The data that support the findings of this study are available from the authors upon reasonable request and with the permission of Hong Kong Metropolitan University (HKMU). Declarations Compliance with Ethical Standards Informed consent is obtained as the research involved human participants. - Research Involving Human: Yes. - Informed Consent: Obtained. Conflict of interest On behalf of all authors, the corresponding author states that there is no conflict of interest. References 1. 2. 3. 4. 5. 6. 7. 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