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Karacan, Cemil Gökhan; Polat, Mustafa – Journal of Digital Learning in Teacher Education, 2022
Augmented Reality (AR) is a new-generation technology that shows video, picture, and animated 3 D objects over real-life scenes. Despite AR's prevalence around the world, language teacher education programs are not prompt in the integration of digital educational tools. The present study explored the factors that predict pre-service English…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
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Rochdi Boudjehem; Yacine Lafifi – Education and Information Technologies, 2024
Teaching Institutions could benefit from Early Warning Systems to identify at-risk students before learning difficulties affect the quality of their acquired knowledge. An Early Warning System can help preemptively identify learners at risk of dropping out by monitoring them and analyzing their traces to promptly react to them so they can continue…
Descriptors: At Risk Students, Identification, Dropouts, Student Behavior
Pocai, Robert Daniel – ProQuest LLC, 2022
The purpose of this qualitative phenomenological study was to describe the lived experience of administrators at a Christian higher education institution during the COVID-19 crisis. The theoretical framework used for this study was revolutionary change theory (RCT). Qualitative data was gathered from structured interviews with executive…
Descriptors: Administrators, Christianity, Religious Colleges, COVID-19
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Holzer, David W.; Counts, Cory J.; Ashmore, Eric P.; Hammock, Colin; John-Henderson, Neha – Journal of American College Health, 2023
Objective: Investigate whether psychosocial risk in the childhood family environment moderates the relationship between childhood socioeconomic status (SES) and sleep, and the relationship between childhood SES and ambulatory blood pressure (ABP) in college students, two factors that are linked to future risk for cardiovascular disease.…
Descriptors: Family Environment, Children, Sleep, Hypertension
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Alvin Patrick Valentin; Aivanne Miguel Dela Vega; Marc Ivenson Kho; Sean Russel Licayan; Elijah Liam Nierras; Jose Carlos Pabalate – International Journal of Sustainability in Higher Education, 2024
Purpose: This study aims to determine and analyze the predictors of food waste reduction intention and behavior among higher education institutions (HEIs) using an extended version of the theory of planned behavior (TPB). Design/methodology/approach: This study empirically tested an extended TPB model through regression analyses using data…
Descriptors: Food, Wastes, Behavior Change, Student Behavior
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M. Jamal Bakali Tahiri; And Athanasios Mouratidis – European Journal of Education, 2024
Within the framework of Self-Determination Theory (SDT), basic psychological need satisfaction predicts quality of motivation which in turn predicts study efforts. Although studies focusing on interpersonal differences have repeatedly shown this sequence of relations, only a few have examined its stability at the intra-personal level. In this…
Descriptors: Self Determination, Learning Strategies, Psychological Needs, Prediction
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Hoi Vo; Hang Ho – Australian Educational Researcher, 2024
This study contributes to a more nuanced understanding of student engagement in online learning by exploring the effects of salient online learning environment conditions on student engagement and the motivational pathways through which they affect engagement. Survey data were collected from 351 undergraduate students enrolled in various online…
Descriptors: Online Courses, Learner Engagement, Prediction, Student Motivation
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Tanaka, Tetsuo; Ueda, Mari – International Association for Development of the Information Society, 2023
In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records…
Descriptors: Scores, Prediction, Programming, Artificial Intelligence
Echeverri Jimenez, Emmanuel Iamsun – ProQuest LLC, 2022
At the molecular level, chemical processes involve the rearrangement of atoms in space and time. Students often struggle with visualizing the 3D spatial characteristics of molecules and transition states, as well as recognizing the dynamic nature of chemistry. Both visual spatial skills and representational competence should be explicitly trained…
Descriptors: Computer Simulation, Educational Environment, Prediction, Spatial Ability
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Van Petegem, Charlotte; Deconinck, Louise; Mourisse, Dieter; Maertens, Rien; Strijbol, Niko; Dhoedt, Bart; De Wever, Bram; Dawyndt, Peter; Mesuere, Bart – Journal of Educational Computing Research, 2023
We present a privacy-friendly early-detection framework to identify students at risk of failing in introductory programming courses at university. The framework was validated for two different courses with annual editions taken by higher education students (N = 2 080) and was found to be highly accurate and robust against variation in course…
Descriptors: Pass Fail Grading, At Risk Students, Introductory Courses, Programming
Riley E. Westmoreland – ProQuest LLC, 2024
As the number of traditional-aged college students has declined, competition has risen. Admission counselors, who are responsible for recruiting entering students, bear the brunt of this challenge. Nowhere is recruitment more important than at tuition dependent institutions, where revenue from student charges is the financial lifeblood. These…
Descriptors: Labor Turnover, Intention, Counselor Attitudes, Burnout
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Margaça, Clara; Hernández Sánchez, Brizeida; Sánchez-García, José Carlos – International Journal of Sustainability in Higher Education, 2022
Purpose: To achieve sustainable development to protect the environment and society, an increasing number of scholars have conducted in-depth research on sustainable and responsible consumption behaviors. The outputs demonstrate that consumers are increasingly concerned and aware of the issues associated with the excessive use of resources. The…
Descriptors: Undergraduate Students, Sustainable Development, Reliability, Measures (Individuals)
Megli, Austin C. – ProQuest LLC, 2022
The three research papers completed and compiled to make up this dissertation explore the relationship between social presence and social construction of knowledge in asynchronous online discussion forums in higher education courses in the instructional technology field. Paper 1 is a literature review of the interaction analysis model (IAM)…
Descriptors: Asynchronous Communication, Correlation, Computer Mediated Communication, Group Discussion
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Mubarak, Ahmed A.; Cao, Han; Zhang, Weizhen – Interactive Learning Environments, 2022
Online learning has become more popular in higher education since it adds convenience and flexibility to students' schedule. But, it has faced difficulties in the retention of the continuity of students and ensure continual growth in course. Dropout is a concerning factor in online course continuity. Therefore, it has sparked great interest among…
Descriptors: Prediction, Dropouts, Interaction, Learning Analytics
Nazempour, Rezvan – ProQuest LLC, 2023
Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…
Descriptors: Artificial Intelligence, Outcomes of Education, Electronic Learning, Educational Environment
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