Student Engagement Research Articles

Linking social media addiction and student retention through the lenses of student engagement

PurposeThis research is designed to explore the relationship between social media addiction, student engagement and student retention. Social media addiction is dealt with as an independent variable student engagement acts as a mediating variable and student retention as a dependent variable.Design/methodology/approachThis is a cross-sectional and quantitative research. Primary data are collected from 600 respondents (university students) with the help of a structured questionnaire. Multistage sampling techniques, i.e. simple random sampling and judgment sampling, are used for the selection of respondents.FindingsResults indicate that for direct relationships, social media addiction has a significant positive impact on student engagement and student retention, respectively, while student engagement is partially mediating the relationship between social media addiction with student retention.Research limitations/implicationsIn the future, these kinds of research may also be conducted on students of different universities in Pakistan, which are located in other cities of Pakistan besides Lahore. This research provides a practical framework for the higher authorities of the universities of Pakistan and explains how the use of media positively fosters the levels of student retention directly and indirectly through the path of student engagement. It is commonly believed that media addiction is bad but the result of this research indicates that anything is not dangerous but depends upon its use, media addiction itself is not bad but if someone uses this for a good purpose in limitation then it has better outcomes. The result indicates that the media addiction of students has a positive impact on student retention. This means that if someone uses media for a positive purpose then he/she will use it as a supporting tool for success. Longitudinal research on these variables will also help to check the status after a specific interval of time.Practical implicationsThe current study will help the practitioners or policymakers (Managers) of higher education institutions by providing practical insights into the positive use of media by students for increasing their knowledge and grades. This research can also help practitioners or policymakers to focus their students on the positive use of social media for fostering the levels of student retention.Originality/valueTo the best of the researcher’s knowledge, no previous study has been done to incorporate social media addiction and student engagement in a single model in the Pakistani cultural context. Similarly, the relationship of variables social media addiction with student engagement is rarely checked empirically because the research of Wang et al. (2011) proposed that social media addiction has a relationship with student engagement so that is why this is the rationale of the research is to check this empirically. Moreover, this study is an initial effort to check the mediating effect of student engagement in the relationship between social media addiction and student retention. This research is also proposing the framework of social media addiction, student engagement and student retention based on the social exchange theory (SET).

Enhancing complex bioprocess learning through simulation technology and hybrid teaching: A case study in university education.

The utilization of computer simulators in university education is progressively being embraced to offer students a practical exposure to industrial bioprocesses. Bioreactor computer simulators hold various advantages over conventional laboratory experiments, such as cost-effectiveness and enhanced safety. The research objective is to assess the effectiveness of integrating bioreactor computer simulators into hybrid teaching to promote active and collaborative learning experiences and evaluate their impact on student participation and understanding. A hybrid strategy combining synchronous, face-to-face, and online teaching has been implemented to enhance the teaching-learning processes in the Industrial Bioprocesses course for Biochemistry students. The simulation software BIOSTAT®T Yeast was used. This software models the production of ethanol with Saccharomyces cerevisiae through batch cultivation and the determination of the kLa value of a bioreactor. In the first simulation activity, students analyzed the software response based on parameter values input by the instructor, while in the second simulation activity, students autonomously used the computer simulator under the primary oversight of the instructor. The survey results indicate that the pedagogical innovation was positively received and significantly motivating for the students. Comparing student satisfaction surveys between the two simulation activities suggests that fostering student autonomy and engagement through simulation technology can improve satisfaction and learning outcomes in bioprocess education.

Technology-enhanced learning in Pharmacology through non-linear storytelling

There is a growing body of literature highlighting the potential of game-based learning (GBL) in creating immersive, highly engaging, active learning experiences. Furthermore, advances in digital technology along with the demand for online learning during the COVID-19 pandemic has brought digital GBL to the forefront of innovative teaching practice. Here, I share some of the digital GBL strategies we have developed to support our pharmacology teaching. In collab¬oration with our students, we have co-created a series of “choose your own adventure” style games using Twine; an open-source storytelling game engine. Importantly, we have shown that adoption of these GBL approaches is highly effective in promoting student engagement, subject understanding, and learning community. Furthermore, I also dis¬cuss how AI tools can allow educators with little knowledge or experience of game development to create unique and engaging learning experiences for their students.

Automated Attendance System with QR Verification

Institutions of higher learning have found a strong correlation between student engagement in class and their overall academic success. Despite this, the prevalent method for tracking student presence remains outdated and inefficient, posing a significant challenge in courses with a high number of enrollees. Traditionally, universities have relied on manual methods for managing attendance. Addressing the inefficiencies of such systems, our initiative introduces a sophisticated attendance mechanism designed to streamline the process. This system utilizes Quick Response (QR) codes as a modern solution for monitoring and documenting the presence of students in academic sessions and practical workshops across various disciplines, as discussed in this document.

Engagement and online mathematics enrichment for secondary students

Engagement and online mathematics enrichment for secondary students

299 Building and maintaining an engaged undergraduate equine research team

Abstract An objective of the equine science program at Penn State is to provide the training and knowledge students need to solve problems in their lives and careers. The Equine Research Team at Penn State (PSERT) is a novel approach to meeting this objective, inspired by Dr. Max Kleiber’s “Tracer Team”, a group of faculty and graduate students that successfully studied kinetics of phosphorus and calcium metabolism in dairy cows at the University of California, Davis in the 1950s and 60s. The team allows us to address several objectives that are not easily approached using more traditional teaching environments found in the classroom or laboratory. These include 1) satisfying the demand for research experience from a large number of students, who come to research with an enormous range of ability and enthusiasm, 2) providing the hand on practice utilizing the scientific method to solve problems in the equine industry, 3) building a sense of personal responsibility and simultaneously cooperation by approaching research as a team, 4) creating an environment of academic and creative achievement outside the traditional grading system, and 5) blurring the lines that traditionally separate academic and social life at a university to create an environment much closer to what students will experience as graduates. In spring 2008, 10 undergraduate students sought formal research experience opportunities in the area of equine science. Students were organized into a team that met biweekly. Project leaders registered for independent study course credits and conducted 3 research studies in yr 1, while the rest of the team participated as volunteers. Fourteen years later, the team is still an important student organization with between 40 to 60 members on an annual basis. Over the years, the team has traveled to universities and important equine industry locations throughout the United States. Members have conceived, conducted, analyzed and presented research studies on a wide range of topics within the sphere of equine science. The team has two faculty advisors, an executive committee analogous to most student organizations, a group of research project leaders, and approximately 60 dues paying student members. The biweekly meeting is organized and led by the executive committee and generally contains the following components: update of activities, seminar provided by an outside speaker from industry or academia who has expertise in the area of equine research, presentation by one of the research project leaders, and group discussion of the project, planning of future research projects. This Equine Research Team has been and continues to be a model that can be utilized by others to successfully facilitate undergraduate student engagement in research.

Evaluating the impact of educational technology on learning outcomes in the higher education sector: a systematic review

This systematic review evaluates the impact of educational technology on learning outcomes in the higher education sector. With the rapid integration of digital tools in educational settings, understanding their effectiveness has become crucial. The paper's objective is to synthesize existing research findings to assess how educational technologies influence learning outcomes. We employed a comprehensive search strategy across multiple databases, including peer-reviewed journals and conference proceedings, to collect studies published in the last decade. The inclusion criteria focused on empirical studies that measured the impact of technologies such as learning management systems, online simulations, and digital collaborative tools on student learning outcomes in higher education. Our methodology involved a rigorous screening process, quality assessment, and data extraction, followed by a thematic synthesis of the findings. The review included a total of 47 studies, which were analyzed to identify patterns, themes, and gaps in the current literature. Key findings suggest that educational technology, when effectively integrated into teaching and learning processes, can enhance student engagement, improve knowledge retention, and foster higher-order thinking skills. However, the impact varies significantly depending on the type of technology used, pedagogical approach, and context of implementation. The review also highlights the importance of faculty training and support in maximizing the potential benefits of educational technologies. Educational technology holds promise for improving learning outcomes in higher education, but its success is contingent upon thoughtful implementation, pedagogical alignment, and ongoing support for instructors. Future research should focus on longitudinal studies to better understand the long-term effects of educational technologies on learning outcomes. Keywords:  Educational Technology, Learning Outcomes, Higher Education, Digital Divide, Accessibility, Equity, Blended Learning, Virtual Reality, Artificial Intelligence, Mobile Learning, Pedagogical Approaches, Professional Development, Strategic Integration.

The Prospects of Generative AI in Higher Education

Artificial intelligence (AI) has brought tremendous prospects and breakthroughs to a number of areas, including education. With an emphasis on the use of chatbots, analytics, generative AI, and personalized learning experiences, this research study offers a thorough analysis of the effects of AI on education. In order to shed light on the ethical implications, cultural considerations, language competence issues, and privacy concerns related to the use of AI in education, it explores the related limitations, obstacles, and concerns. Artificial Intelligence (AI) has the potential to completely transform higher education by promoting efficiency, creativity, customization, and engagement. Higher education could undergo a significant transition with the use of Generative Artificial Intelligence (GAI) tools as ChatGPT, Google BARD, and Bing Chat. But this integration also presents problems for avoiding plagiarism and upholding academic integrity. Within this In this work, we explore and evaluate useful strategies for effectively utilizing GAI's potential while also guaranteeing assignment integrity. We present the PAIGE (Promoting Assignment Integrity using Generative AI in Education) conceptual framework as a viable means of addressing these issues. This concept places a focus on the moral. The inclusion of GAI, encourages student engagement, and fosters chances for collaborative learning. Institutions of higher learning can efficiently use the promise of GAI while maintaining assignment integrity by utilizing the PAIGE framework. A responsible and prosperous future in education powered by generative AI is made possible by this strategy. The research report also explores the roles that parents, legislators, and educators play in minimizing the risks and optimizing the advantages of implementing AI in the classroom. Challenges with linguistic ability, privacy, and other factors related to using AI in education. Key Words: Generative AI, analytics, learning experiences, cognitive achievement, AI in the classroom, customized feedback

Advancing Educational accessibility and experiences: A sophisticated Chatbot integration approach

The integration of chatbots into the educational sector has ushered in a new era of learning and administrative support. This review paper explores the dynamic landscape of chatbots within educational institutes, focusing on their evolution and the emergence of innovative trends. From their early days as basic information providers to their current roles as personalized learning companions, chatbots have undergone significant transformations. The study identifies key milestones in the evolution of chatbots in education, highlighting their transition from rule-based systems to intelligent learning assistants. Moreover, this review delves into the latest trends shaping the chatbot ecosystem in education. It underscores the growing emphasis on Al-powered personalization, multimodal interfaces, and integration with Learning Management Systems (LMS) to streamline administrative tasks. Chatbots are no longer confined to text-based interactions; they now support voice and video, making education more accessible and inclusive. Additionally, they are contributing to mental health support and counseling services, addressing the well-being of students. The paper will argue that chatbots have the potential to revolutionize education by providing students with personalized learning experiences, supporting students with special needs, and promoting student engagement. However, it is important to address the ethical implications of using chatbots in education, such as privacy and bias. The paper will be of interest to educators, researchers, and policymakers who are interested in learning more about the potential of chatbots to transform education. Keywords— Deep Learning, Machine learning, NLP, Voice Assistant, Linux, Artificial Intelligence, Speech Recognition, LLMs.

Development and assessment of a virtual escape-room game for teaching industrial bioprocesses.

This article presents a study on the implementation of a virtual escape-room game as a novel teaching methodology in biochemistry education. The game aimed to engage students in producing monoclonal antibodies against SARS-CoV-2 while reinforcing theoretical concepts and fostering teamwork. Three versions of the game were tested, incorporating modifications to address student feedback on and improve the overall experience. The study employed a satisfaction survey to gather insights from students regarding their perception of the game. Results showed that the implementation of answer flexibility using RegEx had a significant positive impact on student satisfaction and motivation. The introduction of RegEx allowed for a more realistic and immersive gaming experience, as students could provide varied answers while still being evaluated correctly. Overall, the findings highlight the effectiveness of the game's design, the suitability of the Google Forms platform for distance learning, and the importance of incorporating answer flexibility through RegEx. These results provide valuable guidance for educators seeking to enhance student engagement and satisfaction through the use of escape-room games in biochemistry education.

Enhancing academic performance and student engagement in health education: insights from Work Station Learning Activities (WSLA)

Making health science students aware of the importance of basic science knowledge for professional practice is a major educational challenge, especially during the early years of preclinical courses. Here, using an integrated curricular approach, we analyze whether Work Station Learning Activities (WSLA), which combine active learning methodologies for teaching basic science in clinical scenarios, can help to develop deeper learning and student engagement. In order to increase student motivation, we evaluated the effectiveness of WSLA using statistical analyses and an observation tool based on the ICAP (Interactive, Constructive, Active, and Passive) framework, which categorizes learning tasks based on the nature of student engagement. Statistical analyses revealed positive correlations between the different summative evaluations along the development of the activities, indicating the learning process inherent to WSLA progression and affirming the positive influence of WSLA on academic outcomes. Comparing the pre- and post-tests, students scored significantly higher on the post-test (statistically significant p < 0.001). WSLA promotes both constructivist and interactive learning, as validated by its alignment with the ICAP model. The study examines student engagement through systematic observation, revealing a relationship between student engagement and final grades. Students who exhibit constructive learning consistently earn higher grades, emphasizing the positive impact of active engagement. Thus, passive behavior profiles show a significant proportion of fails (40%), while constructive profiles stand out as the sole recipients of the coveted excellent rating. Ultimately, this study contributes to our understanding of the effectiveness of WSLA in promoting active learning and enhancing student engagement within integrated health education curricula. It highlights the importance of active learning behaviors for academic success and suggests avenues for further research to optimize integrated teaching methodologies in medical education.

Effectiveness of interdisciplinary teacher teams among English teachers in public secondary schools in Jolo

This descriptive-comparative study assessed the effectiveness of interdisciplinary teacher teams among English teachers in public secondary schools in Jolo during school year 2023-2024. One hundred (n=100) samples were taken through non-probability sampling method, quota sampling, among selected public secondary schools in Jolo, Sulu, Philippines. A modified questionnaire was used to elicit the perceptions of English teachers regarding the effectiveness of implementing interdisciplinary teacher teams in public secondary schools. English teachers believed that the interdisciplinary teacher teams among secondary schools was very effective in Instructional Practices, Student Orientation, Team Organization, and Team Structures. Findings also noted significant difference on the perceptions of English teachers regarding the effectiveness of interdisciplinary teacher teams in Team Organization. The study highlighted the positive impact of interdisciplinary approaches on student engagement and achievement. Interdisciplinary teacher teams offered opportunities for professional growth and development. Educators had the opportunity to expand their knowledge base, develop their teaching practices, and gain insights into alternative instructional approaches through collaboration with colleagues from different disciplines. Educational institutions can support this professional development by providing resources, incentives, and recognition for interdisciplinary collaboration.

Redefining Academic Safe Space for Responsible Management Education

AbstractIn a time of increasing polarization, how can we address sensitive topics and ensure that university classrooms remain places of healthy discussions and ethical deliberations? This paper addresses this important question by drawing on unique qualitative data from our students’ accounts of their experience in an organizational ethics course. We developed the course using a novel pedagogical strategy centered around the creation of an artistic portfolio. We find that student engagement in an alternative individual space, such as the artistic portfolio, supports them in developing (inter)personal skills in preparation for constructive participation in sensitive discussions and ethical deliberation in the classroom. Additionally, engagement with the artistic portfolio provides them with an alternative means for alleviating tension that arises from these discussions and a space for expressing their opinions. Our findings highlight the role of the portfolio as an individual safe haven that supports teachers in facilitating a positive classroom atmosphere and guides students through challenging discussions and deliberations intrinsic to responsible management education. Considering these new insights, we advocate for a shift from a collective to an individual perspective on safety in academia. This transition liberates the classroom from the constraints and limitations often associated with the establishment of collective safe spaces.

Transforming Science Education Globally Through Electronic Worksheets' Cognitive Impact

This study investigates the impact of using electronic worksheets on students' cognitive learning outcomes in understanding the human digestive system. Conducted at SMPN 3 Porong with Grade VIII students, the research employed a quantitative approach with Quasi Experimental Design and Non-equivalent Control Group Design. The experimental class (VIII F) used electronic worksheets, while the control class (VIII G) did not. Pretests and posttests were administered, showing a significant improvement in cognitive learning outcomes in the experimental class compared to the control. These findings highlight the potential of electronic tools in enhancing student learning experiences in science education, particularly in complex subjects like biology. Highlight: Enhanced learning with electronic worksheets in science education. Quasi-experimental design compares electronic and traditional methods. Technology integration improves student engagement and cognitive outcomes.     Keyword: Electronic Worksheets, Cognitive Learning Outcomes, Science Education, Quasi Experimental Design, Student Engagement  

Increasing PhD student self-awareness and self-confidence through strengths-based professional development

Strengths-based programs have emerged as asset-based approaches to professional development that promote positive student engagement and success. This paper shares the outcomes of a strengths-based professional development program provided to biomedical and health sciences graduate doctoral students within an academic health center. Program outcomes and changes in participants’ perceived confidence when identifying and applying their strengths in different contexts were evaluated through a mixed methods design that included a Likert-based survey and thematic analysis of qualitative responses. Findings strongly suggest that most participants lacked the self-confidence and/or self-awareness to recognize their own strengths prior to the program. Themes that emerged upon implementation of the program point to the following outcomes: participants gained an increased understanding of their strengths, confidence that the knowledge gained about their strengths would help them learn more effectively in laboratory settings, an increased belief that they possess natural talents and skills that make them good scientists and strong members of their research team, and confidence that applying their strengths will help them to overcome both personal and professional challenges. This program shows promise to strengthen graduate student self-awareness and self-confidence. Further studies are needed to understand and measure how asset-based programs such as this can impact graduate student resilience, science identity, and overall student success.

Co‐designing enduring learning analytics prediction and support tools in undergraduate biology courses

AbstractEven highly motivated undergraduates drift off their STEM career pathways. In large introductory STEM classes, instructors struggle to identify and support these students. To address these issues, we developed co‐redesign methods in partnership with disciplinary experts to create high‐structure STEM courses that better support students and produce informative digital event data. To those data, we applied theory‐ and context‐relevant labels to reflect active and self‐regulated learning processes involving LMS‐hosted course materials, formative assessments, and help‐seeking tools. We illustrate the predictive benefits of this process across two cycles of model creation and reapplication. In cycle 1, we used theory‐relevant features from 3 weeks of data to inform a prediction model that accurately identified struggling students and sustained its accuracy when reapplied in future semesters. In cycle 2, we refit a model with temporally contextualized features that achieved superior accuracy using data from just two class meetings. This modelling approach can produce durable learning analytics solutions that afford scaled and sustained prediction and intervention opportunities that involve explainable artificial intelligence products. Those same products that inform prediction can also guide intervention approaches and inform future instructional design and delivery.Practitioner notesWhat is already known about this topic Learning analytics includes an evolving collection of methods for tracing and understanding student learning through their engagements with learning technologies. Prediction models based on demographic data can perpetuate systemic biases. Prediction models based on behavioural event data can produce accurate predictions of academic success, and validation efforts can enrich those data to reflect students' self‐regulated learning processes within learning tasks. What this paper adds Learning analytics can be successfully applied to predict performance in an authentic postsecondary STEM context, and the use of context and theory as guides for feature engineering can ensure sustained predictive accuracy upon reapplication. The consistent types of learning resources and cyclical nature of their provisioning from lesson to lesson are hallmarks of high‐structure active learning designs that are known to benefit learners. These designs also provide opportunities for observing and modelling contextually grounded, theory‐aligned and temporally positioned learning events that informed prediction models that accurately classified students upon initial and later reapplications in subsequent semesters. Co‐design relationships where researchers and instructors work together toward pedagogical implementation and course instrumentation are essential to developing unique insights for feature engineering and producing explainable artificial intelligence approaches to predictive modelling. Implications for practice and/or policy High‐structure course designs can scaffold student engagement with course materials to make learning more effective and products of feature engineering more explainable. Learning analytics initiatives can avoid perpetuation of systemic biases when methods prioritize theory‐informed behavioural data that reflect learning processes, sensitivity to instructional context and development of explainable predictors of success rather than relying on students' demographic characteristics as predictors. Prioritizing behaviours as predictors improves explainability in ways that can inform the redesign of courses and design of learning supports, which further informs the refinement of learning theories and their applications.

Enhancing Student Engagement in the Graduate Seminar by Scaffolding Active Learning Activities

Enhancing Student Engagement in the Graduate Seminar by Scaffolding Active Learning Activities

Country branding through the internationalization of higher education: the case of Egypt

PurposeDrawing from the literature on internationalization, higher education marketing and place branding, this paper aims to link the internationalization of higher education to country branding. It explores the impact of internationalization within the higher education system on Egypt’s destination brand equity. This investigation offers insights for decision-makers in both the higher education and country branding sectors.Design/methodology/approachThis empirical paper adopts an exploratory approach and serves as an initial step for researchers. It utilizes a quantitative methodology, employing a survey with 366 responses, to examine the effects of internationalization efforts in higher education on country brand equity.FindingsThe results reveal a direct correlation between student engagement and the brand equity of international branch campuses (IBCs), as well as a link between IBCs and Egypt’s brand equity. Notably, the study highlights the mediating role of IBC brand equity in the relationship between student engagement and the overall brand equity of Egypt.Originality/valueThis paper is innovative in its method of assessing the impact of internationalization efforts in higher education, specifically at IBCs in Egypt, on Egypt’s destination brand equity. Additionally, the study identifies student engagement as an antecedent to IBC brand equity.

ChatGPT in higher education - a synthesis of the literature and a future research agenda

AbstractChatGPT has emerged as a significant subject of research and exploration, casting a critical spotlight on teaching and learning practices in the higher education domain. This study examines the most influential articles, leading journals, and productive countries concerning citations and publications related to ChatGPT in higher education, while also shedding light on emerging thematic and geographic clusters within research on ChatGPT’s role and challenges in teaching and learning at higher education institutions. Forty-seven research papers from the Scopus database were shortlisted for bibliometric analysis. The findings indicate that the use of ChatGPT in higher education, particularly issues of academic integrity and research, has been studied extensively by scholars in the United States, who have produced the largest volume of publications, alongside the highest number of citations. This study uncovers four distinct thematic clusters (academic integrity, learning environment, student engagement, and scholarly research) and highlights the predominant areas of focus in research related to ChatGPT in higher education, including student examinations, academic integrity, student learning, and field-specific research, through a country-based bibliographic analysis. Plagiarism is a significant concern in the use of ChatGPT, which may reduce students’ ability to produce imaginative, inventive, and original material. This study offers valuable insights into the current state of ChatGPT in higher education literature, providing essential guidance for scholars, researchers, and policymakers.

Online Course Design Review: Quality e-Learning Practices in Higher Education

This article presents the importance of online course revision to improve best practices in distance higher education, increase student success and raise retention rates. A year-long, systematic, unified approach to online course review was conducted by a committee of Humanities professors. The aim of this paper is to share the significant enhancements made to an online course design, using the 7th Edition of Quality Matters Higher Education Rubric to boost student engagement, performance, and satisfaction. This study discusses how each standard was applied to refine an online course. The purpose of the revision was to systematically address the standards as proposed by the QM rubric. Findings revealed areas to strengthen in each of the eight general standards resulting in the actualization of the course design to be more accessible and practical for student use. A few of the specific enhancements because of the revision were the creation of a course content map, clear and predictable design, weekly email reminders, and rubrics. Student feedback confirmed positive outcomes after the successful implementation of best practices using the QM rubric.