CHAPTER 1 INTRODUCTION Background of the Study The school year 2020-2021 has been a challenging year for all of us, among the most affected are the students who are in the midst of finishing their studies. Different aspects in life has been affected due to the pandemic caused by COVID-19. The sudden shift from face-to-face to online classes has a great impact towards students’ motivation in performing well in class. According to Li and Lalani (2020), there have been a decrease in students’ mental health due to the adjustments of e-learning, causing an alarming increase to their level of anxiety and depression. Worldwide school closures, alongside other secondary impacts of the COVID-19 pandemic, are projected to have far-reaching implications in the short and the long term for children, their families, and their communities. Education is a particularly challenging issue in the context of the pandemic. On the one hand, school environments risk high rates of COVID-19 transmission, and closures are seen as necessary measures to protect public health. On the other hand, the linkages between schools and children’s health, safety, and life prospects are significant (ACAPS, 2020). Okajima (2020) further stated that apart from the economic impact of the pandemic, the education sector has been greatly impacted with the closure of schools, resulting in disruption of learning, dismissal of teachers, as well as intensified digital, rural-urban and gender divides. In addition, the teachers have been exposed to tremendous stress to adapt to new platforms, teaching methods and workloads to ensure that students are not lagging. Though the governments’ claim to be encouraging and providing the necessary support and the use of digital tools to ensure that teaching and learning are not affected, in most of the countries here in the Asia-Pacific, the public education system has poor infrastructures, the teachers and students have insufficient access to online platforms, teachers have not been adequately trained in the use of technology, and students - particularly in the rural areas - do not have access to internet in most cases and to computers to some extent. In the Philippines, News World (2021) highlighted that the education sector is looking at an enrolment gap of almost 6 million students this school year. A prolonged absence from school will render a good number of students losing both learning initiatives and abilities when the country is returning to normal by next year. The long-term consequences of millions of students potentially dropping out of education are dreadful. The resurgence of cases also means that education authorities cannot discount the schoolholiday possibility in the coming school year. The government has implemented several measures, such as allowing schools to accept late enrollees and developing the Learning Continuity Plan to use alternative learning delivery modes. In addition to online learning, students’ self-learning modules, TV and radio will also be used for learning when classes start. The Education department had developed learning modules free of charge and promised to provide printed materials needed in the modules before the start of classes in August. At the height of school closing in March and April around the world, there were more than 1.2 billion students who stayed out of the physical classroom, and many countries around the world had developed web-based learning apps and tools to bridge the education gap. In response to the significant demand of the new type of learning modality in the time of this pandemic, modern technology allows online learning platforms and applications such as Zoom, Google Meeting and Classroom, Edmodo etc. to be used by the students, paving the way of effective learning and teaching between the students and teachers. The level of cognition will be surely measured. It involves the ability of the students in gaining knowledge and comprehension. It also embodies the student’s capability to think, remember, judge and to solve problem. According to Bloom (2020) Revised Taxonomy, a student’s level of cognition can be classified into six levels, namely; remembering, understanding applying, analyzing, evaluating and creating. Each level is conceptually different. These levels can be helpful in developing learning outcomes because certain verbs are particularly appropriate at each level and not appropriate at other levels (though some verbs are useful at multiple levels). A student might demonstrate list that presidents they or remember proteins something or they participles to learned, but generating a list does not demonstrate (for example) that the student is capable of evaluating the contribution of multiple presidents to American politics or explaining protein folding or distinguishing between active and passive participles. And thus, these levels should also be observed in the educational atmosphere of digital learning. As digital learning enhances creativity, self-paced learning, and to have better time management. It also demonstrate self-motivation for the students to strive and continue studying. It improved virtual communication and collaboration; and have a broader and global perspective towards the current affairs of his/her surroundings. Li (2020) reported that some research shows that on average, students retain 25-60% more material when learning online compared to only 8-10% in a classroom. This is mostly due to the students being able to learn faster online; e-learning requires 40-60% less time to learn than in a traditional classroom setting because students can learn at their own pace, going back and re-reading, skipping, or accelerating through concepts as they choose. Even though, there are benefits and advantages; there are, however, challenges to overcome. Some students without access to internet and/or gadgets struggle to participate in an online learning platform. It also creates a sense of isolation, requires self-discipline and are prone to technical issues. These gaps are observed not only here but all around the world. Educational Technology and Mobile Learning (2020) came up with a list of what digital learning should possess to be proven effective and efficient for students who are now immersed in this new educational set-up. This list consists of essential questions, captivating digital content, assessment for learning, multiple teaching tools and engaging instructional strategies. Seen as certain aspects of digital learning, the following are then viewed as necessary if the educational system wants the new educational landscape of digital learning to be a success. Advantages and disadvantages of digital learning generate an important question: Does digital learning affects the level of cognition of college students? This question really needs an accurate and well-based answer and that is why, the researchers will dig deeper and discover if it really affects students’ level of cognition. Thus, this research study aims to know the correlation of using digital learning and how it affects the level of cognition of college students in a private Christian school in the midst of changes in the educational learning methods due to circumstances such as COVID-19 pandemic Theoretical Framework The global pandemic seems to be in an endless loop, but the world itself shouldn’t stop and nor does its people. And the educational system has certainly adapted certain adjustments to continue learning even at home. But how effective are these adjustments and how is the level of cognition especially for nursing students affected by such. for students In order to create an academic content, the researchers used several theories to support the content of each part and information for guidance. This study is anchored on the following different cognition theories: The main theory to which the study is anchored on would be Bloom’s Revised Digital Taxonomy Theory of Learning. According to this theory, the framework can be used to to create assessments, evaluate the complexity of assignments, increase the rigor of a lesson, simplify an activity to help personalize learning, design a summative assessment, plan projectbased learning, frame a group discussion, and more. Because it simply provides an order for cognitive behaviors, it can be applied to almost anything. The 6 Levels of Bloom’s Taxonomy 1. The first level of Bloom’s Taxonomy is to Remember. Example activities at the Remembering level: memorize a poem, recall state capitals, remember math formulas 2. The second level of Bloom’s Taxonomy is to Understand. Example activities at the Understanding level: organize the animal kingdom based on a given framework, illustrate the difference between a rectangle and square, summarize the plot of a simple story 3. The third level of Bloom’s Taxonomy is to Apply. Example activities at the Application level: use a formula to solve a problem, select a design to meet a purpose, reconstruct the passage of a new law through a given government/system 4. The fourth level of Bloom’s Taxonomy is to Analyze. Example activities at the Analysis level: identify the ‘parts of’ democracy, explain how the steps of the scientific process work together, identify why a machine isn’t working 5. The fifth level of Bloom’s Taxonomy is to Evaluate. Example activities at the Evaluation level: make a judgment regarding an ethical dilemma, interpret the significance of a given law of physics, illustrate the relative value of a technological innovation in a specific setting—a tool that helps recover topsoil farming, for example. 6. The sixth and highest level of Bloom’s taxonomy is to Create. Example activities at the Creation level: design a new solution to an ‘old’ problem that honors/acknowledges the previous failures, delete the least useful arguments in a persuasive essay, write a poem based on a given theme and tone (Heick, 2020). The main theory that the researchers used was also the basis for the study variables they used in measuring the correlation between digital learning and the level of cognition of nursing students in a private Christian college. And three supporting theories are also used by the researchers to better grasp their hold of the study. The first support theory that the study was based on is the Theory of Creativity. Cognitive theories emphasize the creative process and person: process, in emphasizing the role of cognitive mechanisms as a basis for creative thought; and person, in considering individual differences in such mechanisms. Some cognitive theories focus on universal capacities, like attention or memory; others emphasize individual differences, like those indexed by divergent thinking tasks; some focus on conscious operations; others, on preconscious, implicit, or unintentional processes. In this view, ideas are chained together, one after another, and more remote associates tend to be more original. This perspective argues that more creative individuals tend to have flatter hierarchies of associations than less creative individuals; in other words, more creative people have many more relatively strong associates for a given concept, rather than only a few. This is thought to provide greater scope for the simultaneous activation of far-flung representations, which many believe to be an important engine of creative thought (Kozbelt, 2017). This theory fits best with the present study as this theory would relate as to how the correlation between digital learning and the level of cognition of nursing students. With level of cognition being one of the main study variables, thus theory gives strong support on how such changes in the learning landscapes challenges a student’s aspects of cognition. Namely being understanding and creating which are two of the study variables used by the researchers. The second support theory utilized by the researchers is the Cognitive Assessment Theory. Cognitive theory posits that an extensive cognitive system exists that has a taxonomical structure, varying from surface level thoughts (products), to mechanisms that operate on information (processes), and deep structures (schemas). Cognitive structures drive the manner in which information is processed which, in turn, manifest as cognitive products. Each level of this taxonomy is assumed to be relevant to risk for disorder, although it is not currently known which has the most relevance to negative outcomes and, therefore, to analyzation and evaluation. (Kozbelt, 2017). This theory when applied to the current study would be on the part of how students assess certain changes to the educational system they are currently undertaking. Which is linked with their analyzing and evaluating aspects of cognition, two of the study variables used in this study. And the third support theory to be used by the researchers is the Media Effects on Cognition Theory. Cognitive theory also fits nicely with another paradigm of media effects called information-gap or knowledge-gap. Its thesis is that an information (not influence) campaign will be more readily absorbed by those who are information-rich on the subject of the campaign than by the information-poor. Even though everybody learns something—about ways of investing money, or contraceptive techniques–the net result will be that the gap between the classes will further widen, thus paving the road to hell with another good intention. The explanation, it appears, lies not with the valence of a cognitive structure—since the message is not challenging an existing attitude—but the complexity of the structure, inasmuch as well-developed structures can more easily make room for yet more. Thus, knowledge gap studies may be mapped on our scheme as (a) reinforcement (b) of the stratification (c) of society (d) in the short-run (e) as a result of an information campaign. The requisite theory, of course, proceeds from the level of individual response to the level of social structure. It can be sloganized as the media telling us ‘who should think (Kozbelt, 2017). In relation to the present study, the aforementioned theory relates to how students perceive and apply knowledge learned. And how to be able to remember this knowledge in the long run. This is in part of their remembering and applying which is another study variable utilized. The cited theories are in part of psychology which have been developed for years and was continuously used and improved. And such theories helped the researchers have an academic and scientific ground for their study. Conceptual Framework Conceptually, this study centers on the correlation between digital learning and the level of cognition of nursing students in a private Christian college. The figure 1 shows the process of how the researchers conducted this study to gather the information of the respondents that would help the researchers in determining the correlation between digital learning and the level of cognition of nursing students in a private Christian college. The first table illustrates the input of study such as the profile of the respondents in terms of age, sex, marital status, year level and religion. The second table present the process that will be used in gathering and collecting information and data needed in the study. Included are the variables that would determine the correlation between digital learning and the level of cognition of nursing students in a private Christian college. The third table presents the output of the study which is in the form of a proposal to improve the level of cognition of nursing students in a private Christian college. The arrows that were used in presenting the conceptual paradigm indicated the flow of the study and its variables. Dependent variables Independent Variables Profile of the Respondents age; sex; civil status; year level; student classification; socio-economic status; availability of digital learning resources; internet connectivity; and academic performance on professional subjects The Correlation between Digital Learning and the Level of Cognition of Nursing Students in a Private Christian College Proposed Recommendations Figure 1. Paradigm of the study showing the relationship between the dependent variables and independent variables Statement of the Problem Statement of the Problem This study is focused on the correlation between digital learning and the level of cognition of nursing students in a private Christian college. Specifically, it seeks to answer the following questions: 1. What is the profile of the student-respondents in terms of: 1.1. age; 1.2. sex; 1.3. civil status; 1.4. year level; 1.5. student classification; 1.6. socio-economic status; 1.7. availability of digital learning resources; 1.8. internet connectivity; and 1.9. academic performance on professional subjects? 2. What is the level of digital literacy of nursing students in terms of the following areas: 2.1. photo-visual literacy; 2.2. information literacy; 2.3. socio-emotional literacy; 2.4. reproduction literacy; and 2.5. branching literacy? 3. What is the level of cognition of nursing students in a private Christian college in terms of: 3.1. remembering; 3.2. understanding; 3.3. applying; 3.4. analyzing: 3.5. evaluating; and 3.6. creating? 4. To what extent do digital learning resources impact cognition of nursing students on the following aspects: 4.1 learning; 4.2 memory; 4.3 attention; 4.4 reading comprehension; 4.5 communication; and 4.6 problem solving? 5. Is there a significant relationship between the profile of the student-respondents and the following: 5.1 level of digital literacy; 5.2 level of cognitive functioning; and 5.3 extent to the digital learning resources impact cognition of nursing students on the above- mentioned variables? 6. Is there a significant relationship between the level of digital literacy and the following: 6.1 level of cognitive functioning; and 6.2 extent to the digital learning resources impact cognition of nursing students on the above-mentioned variables? 7. Is there a significant relationship between the level of cognitive functioning and the extent to the digital learning resources impact cognition of nursing students on the abovementioned variables? 8. What learning enhancement program to improve cognition of nursing students may be proposed based on the findings of the study? Statement of Null Hypothesis This study tested the following null hypothesis: HO1: There is no significant relationship between the profile of the student-respondents and the following: level of digital literacy; level of cognitive functioning; and extent to the digital learning resources impact cognition of nursing students on the above-mentioned variables. HO2: There is no significant relationship between the level of digital literacy and the following: level of cognitive functioning; and extent to the digital learning resources impact cognition of nursing students on the above-mentioned variables. HO3: There is no significant relationship between the level of cognitive functioning and the extent to the digital learning resources impact cognition of nursing students on the abovementioned variables. Significance of the Study The results of this study will serve a great purpose to the following persons: 1. Nursing Students. The findings of this study would help nursing students to improve their cognition level in having to adjust to the digital learning that is implemented during this time of the pandemic. 2. School Institutions. The findings of this study would allow them to see the situation in the perspective of their students. Furthermore, the findings would inform them of how to better cope with the situation they are facing. 3. College Instructors. The findings of this study would provide the instructors who are part of the same learning institution insights on the situation that is related to their students. This would also increase their determination in pushing their students to learn better despite the new learning platform. 4. Community. The findings of this study would provide the local community a better understanding on how to approach and handle such a challenging situtaion with their community members. And further improve the harmonious relationship between one another. 5. Future Researchers. This present study would provide them data to which they could base their future studies on or improve upon. Scope and Delimitations of the Study This research is a correlational research study on the correlation between digital learning and the level of cognition of nursing students in a private Christian college. This study will be conducted in Calbayog City. Specifically, among nursing students Christ the King College. The profile of respondents in terms of age, sex, marital status, year level and religion will be determined. Additionally, the respondents’ perception on the correlation between digital learning and the level of cognition of nursing students in a private Christian college in Calbayog will also be determined. The respondents of the study will mainly involve those nursing students currently enrolled in Christ the King College during the present academic year. Finally, this study will be conducted from September 2021 to May 2022. Definition of Terms For easy understanding of the concept used in this study, the following terms were defined hereunder both conceptually and operationally: Analyzing. Conceptually, it refers to the break material into its constituent parts and determine how the parts relate to one another and/or to an overall structure or purpose (e.g., analyze the relationship between different flora and fauna in an ecological setting; analyze the relationship between different characters in a play; analyze the relationship between different institutions in a society)(Bloom, 2020). Operationally, this refers to the nursing students examine their lessons in a digital landscape. Applying. This refers to the variable describing the use information or a skill in a new situation (e.g., use Newton's second law to solve a problem for which it is appropriate, carry out a multivariate statistical analysis using a data set not previously encountered) (Bloom, 2020). As used in this study, these refers to the variable describing the how students utilize the knowledge they learned with the digital learning landscape. Assessment for Learning. Conceptually, it is a component of a digital learning environment referring to the overview of how students learn in a technological landscape (Educational Learning and Technology, 2020). As this relates to this study, this is refers to how nursing students learning is evaluated. Captivating Digital Content. This refers to the component of a digital learning environment referring to the unique content presented to learners (Educational Learning and Technology, 2020). Operationally, this refers to the materials presented to nursing students. Creating. Refers to putting elements together to form a new coherent or functional whole; reorganize elements into a new pattern or structure (design a new set for a theater production, write a thesis, develop an alternative hypothesis based on criteria, invent a product, compose a piece of music, write a play) (Bloom, 2020). In this study, this refers to the aspect of cognition where nursing students construct from the learning they gained from the digital landscape. Digital Learning. Refers to the use of a broad range of technology-enhanced educational strategies (Evolving Ed,2020). As used in this study, these refers to the major study variable describing the new educational platform used by nursing students. Engaging Instructional Strategies. Conceptually this refers to the component of a digital learning environment referring to strategies of teaching used to enhance student learning (Educational Learning and Technology, 2020). Operationally, this refers to the techniques used to improve how nursing student learn in a digital landscape. Essential Learning. This refers to the component of a digital learning environment referring to very essence of education to be imparted to students (Educational Learning and Technology, 2020). As for this study, this refers to the basic function of learning that must be gained by nursing students in a digital landscape. Evaluating. This refers to make judgments based on criteria and standards (e.g., detect inconsistencies or fallacies within a process or product, determine whether a scientist's conclusions follow from observed data, judge which of two methods is the way to solve a given problem, determine the quality of a product based on disciplinary criteria) (Bloom, 2020). Operationally, this refers to cognition process of nursing students on how they assess the learning they accumulated in a digital landscape. Level of Cognition. Refers to the range of mental processes relating to the acquisition, storage, manipulation, and retrieval of information (Cambridge, 2020). In this study, this refers to the major study variable of how nursing student learn in a digital landscape. Multiple Teaching Tools. This refers to the component of a digital learning environment referring to wide range of tools accessible both to educators and learners online (Educational Learning and Technology, 2020). As used in this study, these refers to the wide choices of teaching tools that teachers can use so nursing students can learn more in a digital landscape. Remembering. Conceptually this means to retrieve, recall, or recognize relevant knowledge from long-term memory (e.g., recall dates of important events in U.S. history, remember the components of a bacterial cell) (Bloom, 2020). Operationally, this refers to how nursing students think back to their lessons they learned in this digital landscape. Understanding. This refers on how to demonstrate comprehension through one or more forms of explanation (e.g., classify a mental illness, compare ritual practices in two different religions) (Bloom, 2020). As for this study, this refers to how nursing students acknowledge their learnings in the digital landscape. CHAPTER 2 RELATED LITERATURE AND STUDIES This chapter presents the review of related literature and studies which are all important and relevant to this study. And were collected as to make the study more informative, data oriented and substantial. This were all taken from magazines, pamphlets, books, journals, unpublished thesis and dissertations. Related Literature The following literatures are deemed important for the researchers to review in order to have a better understanding regarding the correlation between digital learning and the level of cognition of nursing students in a private Christian college. Digital learning is replacing traditional educational methods more and more each day. With how rapidly classrooms are changing, it is best to forget methods you may remember from when you were in school and start thinking about newer teaching and learning techniques based on digital learning tools and technologies. The inclusion of digital learning in the classrooms can vary from simply using tablets instead of paper to using elaborate software programs and equipment as opposed to the simple pen. This could entail using sites, services, programs, teaching tools, and technologies like study aids built for at-home use. Even social networks and communications platforms can be used to create and manage digital assignments and agendas. Irrespective of how much technology is integrated into the classroom, digital learning has come to play a crucial role in education. It empowers students by getting them to be more interested in learning and expanding their horizons(Panworld Connection, 2020). Likewise, Singh (2020) pointed out that digital learning becomes a very usual occurrence in the modern world. With the emergence of the internet stank of chances has opened up in front of the modern world. The digital education system revolutionized the old chalk and board process of learning in classrooms. It has made learning mobile, interactive and engaging, motivating students to take an interest in digital learning and maintain it. Most of the schools and institutions are adopting this technology as a solution while the traditional education system is suspended for some time because of the currently prevailing condition and hence it’s very crucial for us to acknowledge some of the major advantages of the digital education system. The insights of Panworld Connection and Singh on the existence of digital learning allowed the researchers to fully understand this new way of education. Giving them a better understanding on this major study variable. Center Grove (2020) said that essential learnings allow for deep learning of concepts and consistency across buildings in topics of instruction. Educational researcher, Robert Marzano, analyzed state and national standards and determined that school would need to be changed from K-12 to K-22 in order for teachers to teach every standard to the level of deep understanding in every student. In his research, he determined that in one grade level there were over 200 standards and 3,093 benchmarks! With this amount of volume, teachers have to make judgment calls regarding the content on which to focus or omit, which makes it difficult for subsequent teachers to know what students have learned and what they haven't yet been exposed to. Therefore, essential learnings provide a clear focus for the learning that must occur in each course. They specify the topics that students must learn in order to be ready for the next level or next related topic within a developed course. by Center teams of Grove Essential CG teachers, Learnings called have been "Curriculum Collaborators," from every school who are subject experts. Kearney (2020) stated in her blog that anyone can churn out piece after piece of content. Still, it makes no difference to Google if it’s not holding people’s attention (and hence indicating to Google that this content is not valuable and exciting to web searchers). Your content needs to grab their attention and keep them on the page for a longer time. What qualifies as digital content? What is it that makes content truly captivating? And why does it matter, anyway? Well, content – synonymous with digital content, online content, web content or digital media – is all media you view on the internet. This could be a blog post, a video on YouTube, music, social media or even a SlideShare presentation… The list goes on! Essentially content is anything that can be published and everything you look at, watch or listen to online is digital content. Both Center Grove and Kearney provided information on essential learning and captivating digital content, respectively. Both of which are variables the researchers utilized in their study, allowing them to understand better this study variables in application to their study. The Cambridge Assessment (2020) gave clarity that assessment for learning (AFL) is an approach to teaching and learning that creates feedback which is then used to improve students’ performance. Students become more involved in the learning process and from this gain confidence in what they are expected to learn. One way of thinking about AFL is that it aims to ‘close the gap’ between a learner’s current situation and where they want to be in. AFL involves students becoming more active in their learning and starting to ‘think like a teacher’. They think more actively about where they are now, where they are going and how to get there. The modern-day technology has replaced the old school and primitive version of the classrooms. It will be very exciting to see what the future of learning holds for us, and what the classrooms of the future will be like. With the emergence of the wide range of vivid technologies, the least we can predict is that the schools will slowly start to adapt themselves accordingly, in the future days to come. And thus, multiple teaching tools have begun surfacing with such changes. Books are slowly being replaced by PDF files, and projection screens are used in the place of chalk and duster. The teachers are now trying their best to provide the students with the best possible information by seeking aid from these modern-day technologies. And the students, on the other hand, are mesmerized by seeing their textbooks come live on the screens (Fernandas, 2019). It’s pretty easy to spot when student engagement is low in your classroom. So how do you build a classroom filled with positivity, encouragement and excitement for learning? Good news! There are lots of amazing student engagement instructional strategies you can use to inspire a love of learning in your classroom and build a positive school culture overall. When students are engaged, research shows they’re more likely to follow behavioral expectations, academically. excited to be kind to their peers and succeed Student engagement is when students show up to class learn, participate in learning and demonstrate a positive attitude (Kampen, 2020). The opinions of Cambridge Assessment, Fernandas and Kampen Gave the researchers a deeper understanding on assessment for learning, multiple teaching tools and engaging instructional materials. The three of which are variables used in their own study. Cognition is a term referring to the mental processes involved in gaining knowledge and comprehension. These cognitive processes include thinking, solving.1 encompass These knowing, are language, remembering, higher-level imagination, judging, functions of perception, and problem- the and brain and planning. Cognitive psychology is the field of psychology that investigates how people think and the processes involved in cognition (Cherry, 2020). And Cambridge Cognition (2015), they further explained that the level of cognition has a physical basis in the brain with over 100 billion nerve cells in a healthy human brain. Each of these can have up to 10,000 connections with other nerve cells called neurons. All of this makes it an incredibly complicated organ. In order to begin to understand the brain we sometimes rely on simplified scientific models, some of which have been developed using studies in rodents and non-human primates. These studies help us better understand certain parts of our cognition, such as how we learn language, and have also been the basis for many breakthroughs in treatments for common disorders of cognition such as Alzheimer’s disease. Cognition fundamentally controls our thoughts and behaviors and these are regulated by discrete brain circuits which are underpinned by a number of neurotransmitter systems. There are a number of brain chemicals which play major roles in regulating noradrenaline cognitive processes; (norepinephrine), including serotonin, dopamine, acetylcholine, glutamate and GABA. In order to better understand what drives certain behaviors, in both healthy and disease states, it is important to consider cognition and the underlying neurobiology that underpins these behaviors. Our distinct cognitive functions arise because of processes occurring within certain parts of our brain, but only some of these, end up entering our conscious awareness. Deller (2019) further explained that a group of researchers, psychologists, and assessment specialists produced a revised version of Bloom’s Taxonomy, A Taxonomy for Teaching, Learning, and Assessment, in 2001. Their main goal was to move the focus away from purely educational objectives and make it clearer for learners to understand specifically what was required of them at each stage. In place of static objectives and nouns used in the original Bloom’s taxonomy, the revised version uses verbs and gerunds to describe the cognitive processes that students and learners are required to use. Apply, Analyze, Evaluate and These are: Remember, Understand, Create. In common with Bloom’s original work, learners must still approach a topic or subject from the lowest level – Remember – and master that before moving on to higher levels of thinking. The idea presented by Cherry, Cambridge Cognition and Deller were all focused on cognition, its level as well as the levels of cognition which were also used by the researchers as study variables. Broadening the researchers understanding of the study variables they used. Digital technology has facilitated an unprecedented growth of information and increased the availability of digital images and other nontextual formats. The web, social media, and mobile technology have contributed to the ease of viewing and sharing images on a global scale. This digital transformation is not only associated with the proliferation of information resources, but also with the increasing importance of the image as a mode of knowledge representation. An area of digital literacy plays with the eyes. As referenced by Yourdon (2020) photo-visual literacy is being aware of how we experience images, video, and other forms of multimedia. Images must be evaluated in a similar way to written texts. Like text, images can be used accurately, deliberately, misleadingly or carelessly. Some images, like texts, can be interpreted in different, sometimes contradictory, ways. Photovisual literacy is not just restricted to art history and film studies it is important for everyone. Maps can show geographical information much better than a verbal or textual description. Charts and graphs can clearly describe the growth or decline of population, financial performance of a company, etc. Cartoons can sum up a viewpoint increasingly vast or opinion. quantities. Images are everywhere They entertain, in influence, manipulate and persuade us. Some images are used to fill an otherwise blank space. It is easy to view images passively without thinking about them or even just not notice them. Like digital citizenship, media and information literacy has been explained by a range of definitions and different terminologies. Whether we use digital media literacy, information literacy, internet literacy or any of the other different expressions, the main idea is that literacy encompasses the ability to engage meaningfully with media and information channels. Media, information channels and the ubiquity of the internet may leave the impression that the digital age has turned everyone into media users and that the digital can be found everywhere, including in schools. This impression is false and, moreover, schools are the notable exception. School is the one place where it is absolutely crucial to train future citizens to understand, to criticise and to create information. It is in schools that the digital citizen must begin and maintain constant critical thinking in order to attain meaningful participation in his or her community (Cedex, 2022). Due to the COVID-19 pandemic, many young people are being asked to engage even more in online and digital platforms. Increased internet use while schools are closed presents increased risk for child cyberbullying.1 Digital abuse, sexual citizenship and exploitation, media literacy and are garnering more attention as means to address these potential risks. In a write-up of Bendici (2021) technology is changing the socioemotional learning landscape that all students navigate every day, from how they express themselves to how they communicate with friends and family. How educators support all students, regardless of language or ability, to promote their own well-being and be a positive influence online, continues to be a priority for all school districts. Accordingly, much of the focus in schools has been on socio-emotional literacy. “Much of that is around soft skills, not core content,” said Jackie Patanio, edtech citywide lead, NYCDOE. “Not things you need to know for math, right, but soft skills on how to interact with one another and build those skills internally, so you can build a relationship with someone and learn how to empathize with them.” Reproduction literacy is the ability to take pre-existing information and edit, the information in order to create new, meaningful concepts. Many people refer to reproduction literacy as the “copy and paste culture” because copying and pasting text is a perfect example of reproducing information to rearrange, reorganize, and create new concepts. Ways in which text may be reproduced include rearranging, add, and deleting text so that it can be used in a completely different context. think it is important that children learn reproduction literacy at an early age so that they will be aware of how to use these skills appropriately. It is also imperative that educators incorporate digital literacy skills in the classroom because our digital environment requires these skills in order to use and complete complex digital tasks. Children are getting exposure to digital technology at such a young age that it is natural for them to utilize digital skills. Much of the older population struggle with these skills because they are used to traditional literacy skills such as reading books and writing on paper. I think our digital culture and required digital skills have impacted our world, especially children and the way they learn and think (Heatherman, 2021). Additionally, Heatherman (2021), also discussed that branching literacy, also referred to as hypermedia literacy, is a type of digital literacy that requires users to utilize nonlinear information. Branching literacy skills require users to have good multidimensional thinking skills in order to obtain information and gain an understanding of concepts. These specific skills will improve the navigation process on the internet because you can remember when you found important information and how to get to that information. One must be able to apply good navigation skills through domains such as the internet, in order find information and use it effectively while not getting lost in the process. Branching literacy also requires new dimensions of thinking that is more abstract and metaphoric, unlike utilizing information in books which requires concrete and linear searching skills. The literature mentioned above helped the researchers to better understand the main subject of their study and deepened their understanding of the study variables used. Related Studies Some related studies conducted by previous researchers are cited here with the intention of identifying the gaps, as well as, their similarities and differences in as far as the present study is concerned. Several studies have been conducted in line with the correlation between digital learning and the level of cognition of students. A similar study was conducted by Lin et.al. (2017) where students are tested and proceeded questionnaire survey to understand the opinions about digital learning. To effectively achieve the research objectives and test the research hypotheses, quasi-experimental research is applied in this study. Total 116 students in 4 classes are selected as the research subjects for the instructional research. The research results conclude that 1.digital learning presents better positive effects on learning motivation than traditional teaching does, 2.digital learning shows better positive effects on learning outcome than traditional teaching does, 3.learning motivation reveals significantly positive effects on learning effect in learning outcome, and 4.learning motivation appears remarkably positive effects on learning gain in learning outcome. It is expected to combine with current teaching trend and utilize the advantages of digital learning to develop practicable teaching strategies for the teaching effectiveness. The cited study was focused on digital learning which was also one of the major variables of the present study. They are also similar on having students as respondents. However they did differ on the time and locale on the conduct of their respective studies as well as the expected outcome. Cameilleri (2017) also performed a study where he explored the educators’ attitudes and perceptions about their utilization of digital learning technologies. The methodology integrates measures from ‘the pace of technological innovativeness’ and the ‘technology acceptance model’ to understand the rationale for further ICT investment in compulsory education. A quantitative study was carried out amongst 241 educators in Malta. It has investigated the costs and benefits of using digital learning resources in schools from the educators’ perspective. A principal component analysis has indicated that the educators were committed to using digital technologies. In addition, a stepwise regression analysis has shown that the younger teachers were increasingly engaging in digital learning resources. Following this study’s empirical findings educational stakeholders are better informed about how innovative technologies can support our students. In conclusion, this contribution puts forward key implications and recommendations for regulatory authorities and policy makers for better curricula and educational outcomes. The study cited was focused on digital learning with the focus being on educators’ attitudes and perceptions about their utilization of digital learning technologies while the present study utilizes digital learning with the focus on the correlation between digital learning and the level of cognition of nursing students. Their difference lies on the type of their respondents, the former using teacher while the latter being students. They also differed on their method of conducting and the research as well as the objectives. Pavlova and Vtorushina (2018) determined essential aspects of the development of university students’ cognition culture as a factor of successful foreign language learning. The authors define cognition culture as a complex of capabilities and skills, enabling students to look for, analyze, process, organize and critically assess information in the text, considering its historical and cultural value background. The investigation proves that a student’s cognition culture is manifested in his/her knowledge of national mentality, language, and cultural picture of the world as well as in the student’s skills of search, procession and critical assessment of information, the skills of analysis, comparison, generalization, cognitive motivation and aspiration for constant improvement of foreign language skills. The research determines the contents of the cognitive component of foreign language learning and works out a complex of teaching techniques for developing students’ cognition culture. The results prove that the application of the complex of special teaching techniques ensures effective development of the university students’ cognition culture for successful foreign language learning. Thus, students’ cognitive culture conditions their social adaptation and academic mobility. Pavlova and Vtorushina’s study bear semblance to the present study as they both gave huge emphasis on condition on their respective studies. They however differed on the use of cognition being essential aspects of the development of university students’ cognition culture as a factor of successful foreign language learning for the former, and the correlation between digital learning and the level of cognition of nursing students in a private Christian college for the latter. Ewing (2019), conducted his own study where he described the cognitive level of professor discourse and student cognition during selected college of agriculture class sessions. Twenty-one undergraduate class sessions were videotaped in 12 professors’ courses. Results were interpreted to show that professors’ discourse was mostly (62%) at the knowledge and comprehension levels of cognition, the lower levels of cognitive thought (Bloom, Engelhart, Furst, Hill, & Krathwohl, 1956). During the 21 class sessions, 1,448 student thoughts were recorded. Forty percent (n = 564) of those thoughts were found to be engaged. Engaged thoughts were then analyzed using Bloom’s Taxonomy (1956). Sixty-two percent of the total 564 engaged thoughts occurred at the knowledge and comprehension levels of cognition. The cognitive levels of professor discourse and student cognition (engaged thoughts categorized and weighted using Bloom’s Taxonomy) were mostly at the two lowest comprehension. levels of Bloom’s Recommendations Taxonomy, included knowledge professor and and student awareness of the cognitive levels at which they teach and think, and further study of relationships between professor and student variables. The study of Erwing was similar to the present study for the focus they gave on the level of cognition. The former however utilized both professors and students while the latter only used students as respondents. Another difference they have is on the area of specialization, being agriculture and nursing respectively. Tangsakul (2017), conducted a study using Bloom’s Revised Taxonomy 2001 or Anderson & Krathwohl’s Taxonomy 2001 to analyze and compare the levels of reading comprehension questions found in reading parts of Team Up in English 1-3 and Grade 9 English O-NET Tests academic years 2013-2016. This study examined 416 reading comprehension questions from Team Up in English 1-3 and 65 reading comprehension questions from O-NET Tests academic years 2013-2016. Bloom’s Revised Taxonomy 2001 was used as a framework for analyzing levels of reading comprehension questions. The findings showed that the levels of reading comprehension questions found in Team Up in English 1-3 and Grade 9 English O-NET tests academic years 2013-2016 were similar and were in low levels of reading comprehension questions. Which shows that they remember and still understand what they were taught through years of being in school. Two aspects of Bloom’s Taxonomy that was evident in the result of the study. The cited study is closely related to the presented on the basis that they both utilized Bloom’s Taxonomy in identifying the cognition level of their respondents. Remembering and understating was also highlighted in the former study, two variables which the latter study has also used. They however differed on the type of respondents and the locale of their respective studies. Atiullah (2019) performed a study where she evaluated the availability of higher order thinking skills in reading comprehension questions of the English textbook for Year X of high school published by ministry of education. There are 158 reading comprehension questions from 15 reading texts which are analyzed using revised Bloom’s taxonomy. An intuitive approach to the analysis of qualitative data is taken for the study in which an individual researcher intuitively relates data from various instruments to each other. The data were analyzed qualitatively to determine the cognitive level of each questions according to revised Bloom’s taxonomy, Question types based on which cognitive process is required to answer and forms of questions. The result shows that majority of reading comprehension questions in the textbook being studied is in the lowest level of revised Blooms taxonomy; applying with 134 items whereas higher order thinking skills are only found in 24 out of 158 items. It was concluded that the reading comprehension questions of the English textbook for Year X of high school is lack of higher order thinking skills. The result of the study is expected to benefit the English teachers, textbook writers and further researchers to elaborate the implementation of higher order thinking skills in English teaching and learning. The cited research also utilized Bloom’s Taxonomy in their study just as the present study. The former however is focused on the availability of higher order thinking skills in reading comprehension questions of the English textbook for Year X of high school published by ministry of education while the latter is on the correlation between digital learning and the level of cognition of nursing students in a private Christian college. The former also gave highlight to applying as one of Bloom’s Taxonomy levels of cognition which the latter used in their present study. Soleimani and Kheiri (2016), attempted to examine the quality of Iranian MA and PhD testing classes to find out how they prepare potential teachers and test makers for the journey of testing in their professional career and whether the exercises and assignments can prepare them to apply higher order thinking in their test construction process. Ten university professors holding PhD in TEFL, along with their students, participated in this study. After recording the assignments and activities, the data were listened, re-listened, and transcribed. The results showed that lower order thinking skills (remembering and understanding) (69.445%) were used more than medium (applying and analyzing) (30.555%) thinking skills in MA testing classroom activities, but higher order thinking skills (evaluating and creating) (0%) were never used. On the other hand, medium order thinking skills (58.335%) were used more than higher order thinking skills (41.665%) in PhD testing classroom activities, and lower order thinking skills were never used. Moreover, activities and assignments given to postgraduate students first led to lower order thinking skills, next led to medium order thinking skills, and finally led to higher order thinking skills. There was a systemic pattern in the distribution of the order of thinking skills of Bloom's Revised Taxonomy in postgraduate activities and assignments. The findings of this study offer several pedagogical implications for students, instructors, and test designers in TEFL. The study of Soleimani and Kheiri bears semblance to the present study as they both use Bloom’s Taxonomy and its level of cognition. The former study also highlighted the six levels of cognition in the results while the latter utilized these six as study variables. They also differed on their group of respondents as well as the objectives of conducting the study. Chandio (2016) critically analyzed the scope and contribution of Bloom’s Taxonomy in both assessment and teachinglearning process. Bloom’s Taxonomy consists of six stages, namely; remembering, understanding, applying, analyzing, evaluating and creating and moves from lower degree to the higher degree. The study applies Bloom’s Taxonomy to the prevailing assessment system at the level of secondary education in Sindh. The data are collected from the last five years’ question papers used by the Board of Intermediate and Secondary Education (BISE), Karachi, Hyderabad Sukkur at secondary level for the subject of English. The questions asked in these papers are classified and analyzed from the vintage point of Bloom’s Taxonomy to determine whether the present assessment system focuses on the lower degrees of learning like remembering, understanding, applying or it transcends to the higher degrees such as analyzing, evaluating and creating. The data are quantitative hence SPSS. 20 is used to analyze and draw conclusions and results. The findings of this study will help to improve both assessment and teaching-learning process, which will hopefully uplift the learner from the sheer practices of description, rote-learning and memorization to the profound level of analysis, evaluation and creativity. The aforementioned study is closely related with the present study since they both utilized Bloom’s Taxonomy and the six level of cognition. To which the present study is also using as study variables. They did however differ on the scope of their studies and the expected outcome. Almasseri (2019) conducted a study aimed to identify the effect of a flipped classroom approach designed according to the cognitive theory of multimedia learning on the academic achievements of eighth-grade students (aged 14 years) in Saudi Arabia in computer science. To this end, a quasi-experimental design was used, with a sample of 67 students; 33 students were assigned to the experimental group, whereas 34 comprised the control group. The experimental group was subjected to the flipped classroom approach, whereas the control group was given direct instruction. To measure student achievements, an instrument that measures cognitive skills based on Revised Bloom's taxonomy levels was designed. Findings revealed a positive effect on the experimental group's achievement levels with respect to Bloom's higher order thinking skills, that is, applying, analysing, and evaluating. No difference was found between the two groups in terms of academic achievements at the remembering and understanding levels of Bloom's taxonomy. Moreover, learners with low prior knowledge showed a higher improvement in academic achievements compared with those with high prior knowledge. This corresponds to the assumption of the cognitive theory of multimedia learning that learners with low prior knowledge would benefit from its principles more than learners with high prior knowledge. The study of Almasseri is viewed relevant to the present study with the interest placed on Bloom’s Taxonomy. The former gave emphasis on the levels of cognition being applying, analyzing and evaluating. The three of which the latter utilized by the researchers as their study variables. Their difference lies on their group of respondents as well as their objectives. Another study conducted was by Ali (2016) where he aims at analyzing assessment questions included in an Arabic language textbook (Communication Skills) for eight grade in the Jordanian schools according to the levels of knowledge in Bloom's Taxonomy to reveal the percentages of distributing of these questions against this taxonomy. In order to achieve the purposes of this study, the researcher designed the instrument of analysis which he applied to the 520 questions included in the textbook for both first and second semesters. Data was identified, recorded and the results were compared to the standard percentages identified by using the means introduced by the specialists. The results of this study revealed that the textbook questions mostly focused on the lower levels of thinking. Results also showed a graphic disagreement between the percentages of the distribution of the textbook assessment questions and the standard percentages at five levels (Remembering, Understanding and Comprehension, Application, Analysis and Evaluation). In the light of these results, the research recommends that there should be a stronger focus on questions of higher levels of thinking in an Arabic Language textbook for grade eight particularly at the levels of application, analysis and evaluation. It also recommends a gradual increase of balanced questions in any future textbook production, and more content analysis studies should include Arabic language textbooks at all stages. The study of Ali and the present study is similar on the basis of utilizing Bloom’s Taxonomy both in their studies. The former did emphasize on remembering, understanding, applying, analyzing and evaluating as the major key points in its results. And the latter utilized this as study variables. They did differ on their research method and their intended group of respondents. Studies cited above made the researchers knowledge about the topic of their research deeper and more substantive. These also helped them construct their study in a much clearer view. CHAPTER 3 METHODOLOGY This chapter presents the methods and procedures that will be employed by the researchers in the research process. The locale, research design, variables, population sampling, respondents, instrument and its validation, scoring and interpretation, data gathering process, and statistical treatment were discussed in this chapter. Locale the Study This study will be conducted in Calbayog City. Specifically in Christ the King College. The study is conducted on the first and second semester of the academic year 2021-2022. Figure 2: Map of Calbayog City Research Design This study will employ the correlational research design which according to Discover PhDs (2020) is used to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change. Being suited for the study as it be in line with what the present study, in which case would determine the correlation between digital learning and the level of cognition of nursing students in a private Christian college. The Variables of the Study The variables of the study were the independent variables and dependent variables. Independent Variables The dependent variables were the following: Profile of the Respondents. This variable refers to age, sex, marital status, year level and religion. Dependent Variables The independent variables were the following: The correlation between digital learning and the level of cognition of nursing students in a private Christian college. Population and Sampling The participants needed for the study would be nursing students. These students are those that are currently enrolled in Christ the King College. Participants would be selected upon obtaining the official list of enrollees of the current school year 2021-2022. Students from the first year up to the fourth year would be expected to participate in the study. The purposive sampling procedures will be employed for this study to gather accurate and reliable data. As this sampling procedure pertains to choosing individuals that have an in-depth knowledge and firsthand experience with the subject of the study. Which for this study would be nursing students in a private Christian college whose learning cognition in a digital learning landscape would be assessed. Respondents of the Study The researchers will first gather the total number of nursing students in a private Christian college. They would also be seeking for an official list of the names of these students. And when the list is organized, the respondents would then be contacted as per their consent in taking part of the study. Table 1 Distribution of Respondents Year Level f % First Year 121 52.38 Second Year 55 23.81 Third Year 31 13.42 Fourth Year 24 10.39 231 100 TOTAL As seen in the table the respondents of the study are composed of 121 (52.38%) first year, 55 (23.81%) second year, 31(13.42%) third year and 24(10,39%) fourth year nursing student. The total number of respondents is two-hundred and thirty one(231). Research Instrument The researchers will use a researcher-made questionnaires that determine the correlation between digital learning and the level of cognition of nursing students in a private Christian college. The instrument is divided into three parts and all indicators mentioned in the questionnaire are based from the readings of literature and studies by the researchers themselves. The first part determines the profile of the respondents in terms of age, sex, marital status, year level and religion. The second part is a checklist of the correlation between digital learning of nursing students in a private Christian college and the third part the checklist on the level of cognition of nursing students in a private Christian college. Scoring and Interpretation To determine the correlation between digital learning and the level of cognition of nursing students in a private Christian college, the researchers will utilize the 5-point rating scale in which the respondents’ responses were scored and interpreted as follows: For Digital Learning: Numerical Value Interpretation Description 5 Highly Utilized 4 Utilized Respondents view this as utilized time after time. 3 Moderately Utilized Respondents can say that this is utilized moderately. 2 Slightly Utilized Respondents felt this wasn’t utilized as much. 1 Not Utilized Respondents didn’t feel its utility at all. Respondents see this being utilized all the time. For the Level of Cognition: Numerical Value Interpretation Description 5 Very High 4 High Respondents felt it is on a high level. 3 Moderate Respondents can say that this is on a moderate level. 2 Low Respondents felt it on a low level. 1 Very Low Respondents didn’t feel it being on a level at all. Respondents see this as having a very high level. Validation of the Instruments To establish the validity and reliability of the research instrument, and to evaluate cost, time, adverse events and study design chosen, the researchers will conduct a small-scale preliminary study or the pilot testing with the nursing students of University of Eastern Philippines, Catarman, Northern Samar. Data Gathering Procedure The researchers of this study will first seek permission from the president of Christ the King College for the approval of their title. Likewise, a transmittal letter asking permission to conduct the study will be sent to the College of Nursing of Christ the King College. Moreover, the researchers will secure a letter of introduction noted by their research adviser and approved by their Dean to be presented to their respondents that they are legitimate students conducting the research study. The researchers will also secure a letter addressed to the students that will be utilized for their validation process. After that, the researchers will seek for the primary data on the correlation between digital learning and the level of cognition of nursing students in a private Christian college. The researchers will use the purposive sampling technique upon choosing their research respondents. After choosing the research respondents, they will administer the survey questionnaire to their respondents. Then the needed the data will be retrieved from the respondents, the researchers will proceed in tabulating the results. Statistical analysis and interpretation will follow. Statistical Treatment Data was analyzed using Statistical Package for Social Sciences (SPSS), which is a software package for editing and analyzing all distribution sorts will of be data. employed Frequency to count determine and the percentage profile of respondents. Mean and standard deviation will be utilized to identify the correlation between digital learning and the level of cognition of nursing students in a private Christian college. And to establish statistical analysis on the significant relationships between profile of the respondents and the correlation between digital learning and the level of cognition of nursing students in a private Christian college the Chi-Square (x2) test will be utilized and the t-test for independent samples will be utilized.