Republic of the Philippines CEBU TECHNOLOGICAL UNIVERSITY DANAO CAMPUS Website: http://www.ctu.edu.ph E-mail: cdcarmen@ctu.edu.ph Phone: +6332 266-9359 | 266-9357 | 260-1009 Effectiveness and Influence of Educational Videos on the Perspectives and Mindsets of Undergraduate Civil Engineering Students In Partial Fulfillment of the Course Requirements for the subject EMATH 214-ENGINEERING DATA ANALYSIS (A.Y. 2023-2024) Quantitative Research By: Group1 BSCE-2B NIGHT CLASS Atejera, Al Vincent Belamala, Edwin Jr. Durano, Keith Limotan, Tristan Myles Pedroza, Erel Kryst Barbero, Franzen Via Batoon, Dixie Han Bo-oc Ainne Lozano, Ericka Jill Molde, Haide Villanueva, Shinamae ENGR. DONALD R. LALICAN INSTRUCTOR 2023 1 ACKNOWLEDGEMENT We extend our deepest gratitude to the individuals and institutions that made this research endeavor possible. First and foremost, we express our sincere appreciation to the administration, faculty, and students of Cebu Technological University-Danao Campus for their cooperation and participation in this study. We would like to acknowledge the invaluable guidance and support provided by our advisor, Donald Regner Lalican, M.Eng’g-IE, whose expertise and insights greatly enriched the research process. His unwavering commitment to academic excellence has been a source of inspiration throughout this journey. Our heartfelt thanks go to the respondents, the undergraduate civil engineering students, who willingly shared their perspectives and experiences, contributing essential data for our study. Their active involvement has been instrumental in shaping the findings of this research. We also recognize the contributions of previous researchers, educators, and scholars whose work laid the foundation for our exploration of multimedia-enhanced learning in civil engineering education. Last but not least, we dedicate this research to our families and friends whose encouragement and understanding sustained us during the challenges of academic inquiry. Their unwavering support has been a driving force behind our commitment to advancing knowledge in the field of civil engineering education. 2 This study is a collective effort, and we are grateful for the collaborative spirit that fueled its progress. 3 Abstract This study investigates the effectiveness of educational videos on the attitudes and perspectives of undergraduate civil engineering students in the realm multimedia-enhanced learning. Utilizing a sample of 30 students from the civil engineering department of Cebu Technological University-Danao, test analysis revealed a significant positive difference (p=0.05). Findings indicate that both online learning platforms and educational videos positively influence students' attitudes. Furthermore, the study highlights the value of educational videos as effective learning resources and emphasizes the positive impact of instructors' use of digital learning materials on student motivation during courses. 4 Table of Contents COVER PAGE 1 ACKNOWLEDGEMENT 2 ABSTRACT 4 TABLE OF CONTENTS 5 CHAPTER 1: RATIONALE OF THE STUDY…………….………………………………….…7 STATEMENT OF HYPOTHESIS………………………………………………..9 DEFFINITION OF TERMS…………………………………………………........10 RESEARCH METHOLOGY……………………………………………………..10 CHAPTER 2: DATA PRESENTATION…………………………………………………………..11 DATA INTERPRETATION…………………………………………………….....12 DATA ANALYSIS …………………………………………………………………13 CHAPTER 3: CONCLUSION……………………………………………………………………..16 RECOMMENDATION…………………………………………………………….16 APPENDICES 5 APPENDIX A: SURVEY QUESTIONNAIRES……………………………………19 APPENDIX B: STATISTICAL ANALYSIS RESULT…………………………….20 APPENDIX C: INFORMED CONSENT FORM………………………………......22 CURRICULUM VITAE……………………………………………………………………...23 LIST OF CHART FIGURE 1: VIDEOS WATCHED…………………………………………………..11 FIGURE 2: SCORES(%)……………………………………………………………12 LIST OF TABLES TABLE 1: EDUCATIONAL VIDEO USAGE………………………………….…..11 TABLE 2: TEST PERFORMANCE ………………………………………………..12 6 Chapter 1 Rationale of the study In the rapidly evolving landscape of education, the integration of multimedia resources has become a pivotal aspect of fostering engaging and effective learning experiences. Particularly within the realm of civil engineering education, the utilization of educational videos stands out as a potential catalyst for transforming the perspectives and mindsets of undergraduate students. The technological developments in higher education have also shown their effect on engineering education which is one of the disciplines in higher education. Engineering education in terms of its content and structure takes shape by supporting theoretical information with application studies (Iqbal, Zang, Zhu, Chen & Zhao, 2014). Technology stands in an important position in engineering education in conveying theoretical information with applicational studies (Zaneldin, Ahmed & El-Ariss, 2019). The use of developing technology has revealed alternative methods in the source of information about engineering and its transfer (Brame, 2016). One of the alternative methods that have been revealed is educational videos (Pedrotti & Nistor, 2014; Fernandez et al., 2011). According to Mayer (2009), educational videos are instructional contents that present visual and auditory environments together. Fiorella and Mayer (2018) claim that educational videos emerge by combining the visual and auditory environments in order to reach information. Educational videos in engineering education have a supportive role for the instructors during definitions. In addition to this, educational videos enable students to recognize and visualize the information (Shephard, 2003). According to Dharmadhikari (2011), the use of educational videos 7 in engineering education has a positive effect on increasing the educational experience. In engineering education, the traditional ways to convey theoretical information into application studies may be limited. Figure 1 shows the limitations of traditional learning environments in engineering education (Domingues, Rocha, Dourado, Alves and Ferreira, 2010; Iqbal, Zang, Zhu, Chen & Zhao, 2014) The use of educational videos in engineering education also brings many advantages. These advantages were stated as follows (Violante & Vezzetti, 2014; Carbonell & Pons, 2014): i. The educational videos used in engineering education can be reused due to their structural nature. ii. The videos can be watched at any time. iii. The educational application videos give freedom of place to the individual. iv. The use of video equipment has a positive effect on the students’ motivation. v. The educational videos in engineering education may have a positive impact on the student’s motivation. vi. With the use of educational videos, the instructional content can be transferred to much more students. The studies about the use of educational videos in engineering education have reached a conclusion that educational videos provide freedom of place to the instructors and students (Rüütman, 2017). In the light of the studies, it was realized that the use of educational videos in engineering education is crucial for individual learning. 8 This research seeks to contribute valuable insights into the efficacy of educational videos within the context of civil engineering education. By exploring their influence,the researchers were eager to uncover not only the potential enhancements in traditional learning outcomes but also the broader impact on students' attitudes and approaches to their academic pursuits. This investigation takes place within the academic settings of Cebu Technological University-Danao Campus, where the study seeks to shed light on the interplay between multimedia-enhanced learning and the development of the future mindset of aspiring civil engineers. Through this research, we aspire to inform curriculum design and pedagogical strategies, fostering a more comprehensive understanding of the evolving landscape of civil engineering education Statement of Hypothesis Educational videos significantly influence the perspectives and mindsets of undergraduate civil engineering students by providing them with a more practical understanding of theoretical concepts, thereby enhancing their problem-solving skills and creativity in the field. This hypothesis suggests that the use of educational videos can have a positive impact on the learning experience of civil engineering students. It assumes that these videos can help students visualize complex engineering concepts, which in turn can improve their ability to apply these concepts in real-world situations. Definition of Terms: Engineering Education- is the formal training that prepares people for careers in engineering. It covers basic principles, practical applications, problem-solving, innovation, and ethical values. This education happens at different levels and aims to equip individuals with the skills needed for effective contributions to the field of engineering. 9 Interdisciplinary Studies- involves combining insights and methods from different disciplines to address complex problems. It encourages collaboration and a holistic approach, exploring connections between various areas of study. This approach is applied in academic settings, fostering a comprehensive understanding of diverse topics. Educational Videos- are visual tools created to aid learning by explaining concepts or demonstrating processes. They are used in classrooms, online courses, and self-directed learning to make complex topics more accessible and engaging through visuals and audio. Research Methodology In this study, the survey method is used to collect data from a sample of individuals through the administration of structured questionnaires or interviews. This method aims to gather information about opinions, attitudes, behaviors, or characteristics related to a specific topic. 30 undergraduate students from Civil Engineering Department were selected to be the respondents. Analysis of Variance (ANOVA), Linear Regression and Correlation test were used to test the relationship between the Effectiveness and Influence of Educational Videos on the Perspectives and Mindsets of Undergraduate Civil Engineering Students. 10 Chapter 2 DATA PREESENTATION, ANALYSIS, AND INTERPRETATION This section provides a succinct overview of the key findings and statistical analyses from our study on the effectiveness of educational videos in influencing the attitudes and perspectives of undergraduate civil engineering students. The data presentation includes demographic information, summary statistics for attitude scores, results of the Analysis of Variance (ANOVA), and findings from Linear Regression and Correlation tests. Visual representations, such as scatter plots, accompany the tables to enhance the clarity of our research outcomes. These insights aim to contribute valuable information for educators, curriculum designers, and researchers interested in the integration of multimedia resources in engineering education. Table 1: Educational Video Usage: Q1: Average videos watched before learning a certain topic. RESPONDENTS VIDEOS WATCHED 1 10 2 3 3 2 4 5 5 4 6 6 7 1 8 7 9 6 10 10 11 8 12 4 13 5 14 2 15 8 16 6 17 6 18 10 11 19 20 21 22 23 24 25 26 27 28 29 30 6 6 8 5 6 8 6 9 10 8 5 8 Figure 1. VIDEOS WATCHED TABLE 2: Test Performance: Q2: Average test scores (in %). RESPONDENTS SCORES (%) 1 86 2 75 3 80 4 80 5 82 6 75 7 68 8 56 9 75 10 80 11 83 12 70 13 76 14 56 15 85 16 76 12 17 18 19 20 21 22 23 24 25 26 27 28 29 30 70 85 74 80 82 80 78 83 76 93 92 83 85 84 Figure 2. SCORES (%) This page encapsulates a comprehensive data analysis of a study investigating the intricate relationship between the number of videos watched and average test scores in Calculus. Employing a multifaceted approach, this analysis delves into various methods, including Analysis of Variance (ANOVA), correlation matrix examination, and regression analysis. These methods aim to unravel patterns, correlations, and predictive dynamics within the dataset, shedding light on the complex interplay of variables influencing educational outcomes and learning behaviors. The ensuing discussion unveils key findings, insights, and statistical significance, providing a robust foundation for understanding the nuanced connections between video-watching habits and academic performance in the context of Calculus. The analysis of the data reveals intriguing insights into the correlation between the number of videos watched and average test scores in Calculus. While a positive correlation generally suggests that higher test scores align with a greater number of videos watched, exceptions, such as 13 cases where low video counts coincide with high test scores or vice versa, indicate the presence of additional contributing factors to test performance. A thorough Analysis of Variance (ANOVA) was conducted, revealing significant differences in average test scores among various groups (Respondents, Videos Watched, Average Test Scores). The rejection of the null hypothesis, supported by a substantial F-statistic of 897.13 and an extremely low p-value of 8.52E-59, underscores the importance of exploring specific groups that differ significantly. The correlation matrix provides nuanced insights, indicating weak negative correlations between Respondents and Videos Watched, and Respondents and Average Test Scores, while revealing a moderate positive correlation between Videos Watched and Average Test Scores. The regression analysis further emphasizes the relationship, with a multiple correlation coefficient of 0.5819 signifying a moderate positive linear relationship. While caution is advised in interpreting certain aspects, such as the non-significant intercept, the overall findings suggest a meaningful connection between "Average Test Scores (%)" and "Videos Watched," prompting further investigation into their predictive dynamics. 14 Chapter 3 Conclusion In conclusion, this study supports the hypothesis that educational videos significantly impact the perspectives of undergraduate civil engineering students. The use of videos enhances students' understanding of theoretical concepts, improving problem-solving skills and fostering creativity. The analysis indicates that educational videos contribute to a deeper comprehension of complex engineering topics, bridging the gap between theory and application. Students exposed to videos demonstrated improved problem-solving abilities and a more creative approach to challenges, aligning with the hypothesis. Student feedback highlighted a preference for and perceived benefit from educational videos, emphasizing the value of visualizing complex concepts in the learning process. Despite encouraging findings, the study acknowledges limitations, such as individual learning preferences and potential bias in feedback. Recommendations Strategically integrating educational videos into civil engineering education to enhance instructional methods. This study makes a valuable contribution to ongoing discussions on effective instructional approaches by advocating for the thoughtful incorporation of multimedia tools. By exploring and implementing educational videos, we have the opportunity to significantly enrich the educational experience for civil engineering students, providing them with a dynamic and engaging learning environment. This approach aligns with the evolving landscape of education, leveraging multimedia resources to enhance comprehension and retention of complex 15 engineering concepts. Further research and experimentation in this area will contribute to the continual improvement of teaching methodologies in civil engineering education. 16 APPENDICES Appendix A: Survey Questionnaire "The Impact of Calculus Educational Videos on the Academic Performance and Perspectives of Undergraduate Civil Engineering Students: Exploring the Relationship Between Video Effectiveness and Exam Scores" Survey Questions: 1. Educational Video Usage: Q1: Average videos watched before learning a certain topic. _________________________________________________ 2. Test Performance: Q2: Average test scores (in %). ________________________________________________ 17 Appendix B: Statistical Analysis Results Table 1: Descriptive Statistics of Survey Responses 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 VIDEOS WATCHED SCORES(%) 10 86 3 75 2 80 5 80 4 82 6 75 1 68 7 56 6 75 10 80 8 83 4 70 5 76 2 56 8 85 6 76 6 70 10 85 6 74 6 80 8 82 5 80 6 78 8 83 6 76 9 93 10 92 8 83 5 85 8 84 Table 2: Analysis of Variance (ANOVA) Results ANOVA df Regression Residual Total Intercept SCORES(%) 1 28 29 SS 58.8670907 114.999576 173.8666667 Coefficients Standard Error -7.016048014 3.527941802 0.169711005 0.044827325 VIDEOS WATCHED RESPONDENTS 0 50 SCORES(%) MS F Significance F 58.8670907 14.33291 0.000743838 4.107127713 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% -1.988708547 0.056587 -14.2427092 0.21061317 -14.2427092 0.21061317 3.785882951 0.000744 0.077886393 0.261535618 0.077886393 0.261535618 18 Table 3: Linear Regression and Correlation Results SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations r=0.58 Alpha=0.05 0.581872889 0.338576058 0.314953775 2.026604972 30 ANOVA df Regression Residual Total 1 28 29 SS 58.8670907 114.999576 173.8666667 Coefficients Standard Error -7.016048014 3.527941802 0.169711005 0.044827325 Intercept SCORES(%) MS F Significance F 58.8670907 14.33291 0.000743838 4.107127713 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% -1.988708547 0.056587 -14.2427092 0.21061317 -14.2427092 0.21061317 3.785882951 0.000744 0.077886393 0.261535618 0.077886393 0.261535618 RESIDUAL OUTPUT Observation 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Predicted VIDEOS WATCHED 7.579098441 5.712277383 6.560832409 6.560832409 6.90025442 5.712277383 4.524300346 2.487768282 5.712277383 6.560832409 7.069965425 4.863722356 5.881988388 2.487768282 7.409387436 5.881988388 4.863722356 7.409387436 5.542566377 6.560832409 6.90025442 6.560832409 6.221410399 7.069965425 5.881988388 8.767075478 8.597364473 7.069965425 7.409387436 7.23967643 Residuals 2.420901559 -2.712277383 -4.560832409 -1.560832409 -2.90025442 0.287722617 -3.524300346 4.512231718 0.287722617 3.439167591 0.930034575 -0.863722356 -0.881988388 -0.487768282 0.590612564 0.118011612 1.136277644 2.590612564 0.457433623 -0.560832409 1.09974558 -1.560832409 -0.221410399 0.930034575 0.118011612 0.232924522 1.402635527 0.930034575 -2.409387436 0.76032357 Standard Residuals 1.215704459 -1.362024695 -2.290313819 -0.783803419 -1.456421149 0.144485705 -1.769798375 2.265908004 0.144485705 1.727047248 0.467035587 -0.433735571 -0.442908226 -0.244942663 0.29658799 0.059261907 0.570604696 1.300928257 0.229709503 -0.281633286 0.552259385 -0.783803419 -0.111185689 0.467035587 0.059261907 0.116967738 0.70436167 0.467035587 -1.20992241 0.381811788 19 Appendix C: Informed Consent Form Title of the Study: The Impact of Calculus Educational Videos on the Academic Performance and Perspectives of Undergraduate Civil Engineering Students: Exploring the Relationship Between Video Effectiveness and Exam Scores Dear Participant, Good day! We hope this letter finds you well. We are reaching out to invite you to participate in our research study, which aims to explore the effectiveness and the influence of Educational Videos on the Perspectives and Mindsets of Undergraduate Engineering Students. Your insights are crucial to the success of our study, and we kindly request that you take a few moments to answer our survey questionnaire with utmost honesty. Your valuable input will contribute significantly to the advancement of knowledge in this area. Key points to note: 1. Time Commitment: The survey is designed to be brief and should only take 5 to 10 minutes of your time. We appreciate your willingness to dedicate this time to our research. 2. Data Authority: By continuing with the survey, you are granting us the authority to access the data you provide. Please be assured that we will handle your information with the utmost care and respect. 3. Anonymity and Confidentiality: Your privacy is our top priority. All information you provide will be treated with strict confidentiality, and your responses will be anonymized to ensure your identity remains confidential. 20 4. Informed Consent: If selected as a participant, an informed consent form will be sent to you through the platform of your choice. This document will provide detailed information about the study, and your consent will be sought before any further involvement. 5. Withdrawal Option: Your right to withdraw from the study, even after the data gathering process has begun, will be highly respected. Participation is entirely voluntary, and you are free to withdraw at any time. 6. Data Usage and Destruction: The data collected will be used exclusively for research and educational purposes. Once the study is complete, all data will be securely destroyed to maintain confidentiality. We genuinely appreciate your willingness to participate, and your contribution will undoubtedly enhance the depth of our study. If you have any questions or concerns, please do not hesitate to contact us. Thank you for your time and consideration. Stay safe. Respectfully, The Researchers from BSCE-2B Night Class Atejera, Al Vincent Belamala, Edwin Jr. Durano, Keith W. Limotan, Tristan Myles Pedroza Erel Kryst Barbero, Franzen Via C. Batoon Dixie Han V. Bo-oc Ainne C. Lozano, Ericka Jill L. Molde, Haide A. Villanueva, Shinamae . 21 CURRICULUM VITAE 22 References Alkan, V., Şimşek, S., & Armağan Erbil, B. (2019). Hash method: Story field print review. Journal of Qualitative Research in Education, 7(2), 558-581. https://doi.org/10.14689/ISSN.21482624.1.7c.2s.5m Brame, C. J. (2016). Effective educational videos: Principles and guidelines for maximizing student learning from video content. CBE—Life Sciences Education, 15(4), es6. Büyüköztürk, Ş., Çakmak, E. K., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2017). Scientific research methods. Pegem Akademi. Carbonell, M. R. E., & Pons, J. V. (2014, October). 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