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Shutao Wang; Junwei Bao; Yanli Liu; Demei Zhang – Innovations in Education and Teaching International, 2024
Although online learning has been widely used in higher education, its impact on students' academic performance has not been well described. This study surveyed 2963 college students, and used structural equation modelling to determine the impact of college students' online learning engagement on academic performance. The serial mediating effect…
Descriptors: Electronic Learning, Learner Engagement, Academic Achievement, Inquiry
Helena Carvalho; Patricia A. Halpin; Elke Scholz-Morris; Rosa de Carvalho; Daniel Contaifer Jr. – Advances in Physiology Education, 2025
Dramatization, a teaching method where each student acts out or mimics a cell or body parts while the entire group represents the physiological process was adapted to produce original teaching videos paired with a pretest that activates memory and a posttest to prevent misconceptions. Three physiology instructors collaborated on Zoom to create six…
Descriptors: Role Playing, Physiology, Visualization, Teaching Methods
Vitaly Brazhkin; Joshua K. Strakos – Intersection: A Journal at the Intersection of Assessment and Learning, 2023
Research on multi-attempt online assessments is sparse and inconclusive and lacks the voice of students. To help bridge the gap, this paper analyzes student survey data across multiple supply chain management classes. The results show that students prefer three attempts on quantitative assessments. The preferences do not depend on age, gender or…
Descriptors: Student Attitudes, Tests, Online Systems, Feedback (Response)
Songül Karabatak; Muslim Alanoglu; Hongwei Yang; Jian Su – Technology, Knowledge and Learning, 2025
The objective of this study is to assess students' perceptions of self-directed learning (SDL) skills in online learning using the Turkish version of the Self-Directed Online Learning Scale (SDOLS-T). To achieve this objective, the original SDOLS in English was translated into Turkish using the back-translation method. Subsequently, two separate…
Descriptors: Foreign Countries, Independent Study, Electronic Learning, Translation
Wells, Melissa Beck – Online Submission, 2022
Higher Education students that have identified themselves as experiencing stress and/or anxiety and depression have risen. Also, with many students opting for online or digital learning opportunities, identifying and fulfilling adult learners' needs is critical. Quality instructional design aimed at enhancing their achievement and…
Descriptors: Undergraduate Students, Stress Variables, Anxiety, Depression (Psychology)
Sholpan Kolumbayeva; Elmira Aitenova; Assel Tanatova; Akkalam Zhekeyeva; Aliya Kosshygulova – Journal of Education and e-Learning Research, 2023
The study aims to reveal the psychological and pedagogical indicators of self-management in a student's personality and systematize contemporary synergetic approaches for distance education. The research hypothesis suggests the possibility of optimizing students' motivation for self-management and self-learning for efficient education in a…
Descriptors: Foreign Countries, Undergraduate Students, Economics Education, Distance Education
Self-Regulated Learning between Online Undergraduate and Graduate Students in Education and Business
Chandler, Britt – ProQuest LLC, 2023
The purpose of this quantitative causal comparative study is to understand if there are significant differences in levels of intrinsic goal orientation, task value and effort regulation between online undergraduate and graduate students as well as students studying in education and business programs at a university based in Phoenix, Arizona. It is…
Descriptors: Learning Strategies, Self Management, Electronic Learning, Virtual Universities
Hur, Paul; Lee, HaeJin; Bhat, Suma; Bosch, Nigel – International Educational Data Mining Society, 2022
Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…
Descriptors: Artificial Intelligence, Individualized Instruction, College Mathematics, Statistics
Mohd Hanafi Azman Ong; Nur Syafikah Ibrahim – International Journal of Information and Learning Technology, 2024
Purpose: Since there is lack of studies in determine factors that affecting enjoyment sentiment when using online learning system, this study aims to explore the antecedents of perceived online learning enjoyment by using extended technology acceptance model (TAM) and its effect on behavioral intentions (BIN) among higher education institutions…
Descriptors: Electronic Learning, Positive Attitudes, Undergraduate Students, Public Colleges
Yang, Christopher C. Y.; Ogata, Hiroaki – Educational Technology & Society, 2023
Blended learning (BL) is regarded as an effective strategy for combining traditional face-to-face classroom activities with various types of online learning tools (e.g., e-books). An effective feature of e-books is the ability to use digital notes. When e-books are used in BL, the strategic adoption of note-taking provides benefits that influence…
Descriptors: Blended Learning, Sequential Approach, Notetaking, Electronic Publishing
Mou, Tsai-Yun – Active Learning in Higher Education, 2023
This study investigated the intervention of a weekly learning diary on design students' self-regulated learning in an online learning environment. A total of 54 undergraduate students from an intermediate and an advanced course respectively participated in this study. In a 7-week period of online learning, the students had to complete a course…
Descriptors: Electronic Learning, COVID-19, Pandemics, Independent Study
Han, Feifei; Ellis, Robert A.; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2022
This article uses digital traces to help identify students' online learning strategies by making a clear distinction between the descriptive features (the proportional distribution of students' different online learning actions) and quantitative aspects (the total number of the online learning sessions), a distinction that has not been properly…
Descriptors: Electronic Learning, Learning Strategies, Student Behavior, Educational Environment
Isyati Suparman; Jeya Amantha Kumar; Sharifah Osman – Comunicar: Media Education Research Journal, 2023
Adopting online learning as a mandated means of instruction amid the pandemic guaranteed students the opportunity to integrate digital technologies for English language learning. This experience was pivotal in investigating the continuous use of these platforms to facilitate online language learning post-pandemic. However, few studies have focused…
Descriptors: Electronic Learning, Teaching Methods, Pandemics, COVID-19
Yang, Christopher C. Y.; Chen, Irene Y. L.; Ogata, Hiroaki – Educational Technology & Society, 2021
Precision education is now recognized as a new challenge of applying artificial intelligence, machine learning, and learning analytics to improve both learning performance and teaching quality. To promote precision education, digital learning platforms have been widely used to collect educational records of students' behavior, performance, and…
Descriptors: Learning Analytics, Individualized Instruction, Instructional Materials, Books
Poorthuis, Astrid M. G.; van Dijk, Anouk – Psychology Learning and Teaching, 2021
Many students use ineffective learning strategies. They tend to start too late and learn in a superficial way, without integrating different parts of the study materials. To help students in "Psychological Assessment in Youth" overcome these problems, we designed online study-aids to spread their learning over the semester (distributed…
Descriptors: Undergraduate Students, Psychological Evaluation, Learning Strategies, Instructional Materials