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R. K. Kapila Vani; P. Jayashree – Education and Information Technologies, 2025
Emotions of learners are fundamental and significant in e-learning as they encourage learning. Machine learning models are presented in the literature to look at how emotions may affect e-learning results that are improved and optimized. Nevertheless, the models that have been suggested so far are appropriate for offline mode, whereby data for…
Descriptors: Electronic Learning, Psychological Patterns, Artificial Intelligence, Models
Duncan Culbreth; Florence Martin – Educational Technology Research and Development, 2025
Synchrony, or the timing of information as it is exchanged between participants, has garnered increasing study in online learning. Within this domain is bichronous online learning (BOL), the blending of asynchronous and synchronous elements within one learning environment. Some research has identified mobile instant messaging as quasi-synchronous…
Descriptors: Synchronous Communication, Asynchronous Communication, Computer Mediated Communication, Electronic Learning
Alícia Villar-Aguilés; David Muñoz-Rodríguez – Journal of New Approaches in Educational Research, 2024
Expansion in higher education and changes in student profiles have led to an increase in non-linear trajectories that do not fit into a time frame considered standard. However, universities continue to establish success and failure parameters relating to performance indicators that do not consider the heterogeneity of trajectories. The theoretical…
Descriptors: In Person Learning, Electronic Learning, Higher Education, College Students
I. Putu Indra Kusuma; Ni Putu Ristia Ayu Ningsih; Putu Adi Krisna Juniarta – MEXTESOL Journal, 2025
Informal Digital Learning of English (IDLE) is the result of the affordances of technology that allow learning to take place in unstructured learning contexts. However, how IDLE facilitates students' English language learning remains unclear. This study aims to investigate the strategies English as a foreign language (EFL) students employ to learn…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Learning
Sena Erdur Harman; Ayfer Alper – Malaysian Online Journal of Educational Technology, 2024
This study was an examination of the micro-learning method, which is a mobile learning approach. To examine the preferences of learners regarding the microlearning method, a course consisting of educational videos and information on online tables was presented at Anadolu University using the Moodle Platform AKADEMA. The research methodology used…
Descriptors: Foreign Countries, Student Attitudes, Video Technology, Multimedia Materials
Tilisa Thibodeaux; Dwayne Harapnuik – International Journal on E-Learning, 2024
This study explored and analyzed student perceptions of feedback for deeper learning in an online graduate program at a regionally accredited institution in the southeastern United States. Forty-one graduate students participated in an online survey to examine students' preferences for feedback, the most helpful types of feedback, and if feedback…
Descriptors: Student Attitudes, Feedback (Response), Learning Processes, Electronic Learning
Mengqian Wang; Wenge Guo; Qian Dong – Interactive Learning Environments, 2024
Given the changing nature of literacy, it is critical to investigate how learners communicate using the multimodal affordances of digital platforms. Guided by metafunctions of Systemic Functional Linguistics, this study developed a multimodal analytical framework to quantify multimodal composing with indicators of functional meaning to evaluate…
Descriptors: Foreign Countries, High School Students, Digital Literacy, Learning Modalities
Kristi Bright; Jane S. Vogler – Online Learning, 2024
Undergraduate enrollment in online courses has been trending upward over the past decade, despite declining enrollment overall. With the onset of COVID-19 during the Spring 2020 semester, more undergraduates were suddenly thrust into online courses. Although learning outcomes for face-to-face and online courses may not differ, some students may…
Descriptors: Electronic Learning, In Person Learning, Student Attitudes, Preferences
Valerie Irvine; Mariel Miller; Okan Bulut; Jean-Paul Restoule; George Veletsianos – OTESSA Conference Proceedings, 2024
While the COVID-19 pandemic significantly transformed post-secondary course delivery formats, little attention has been paid to post-pandemic learner preferences. To address this gap, we designed two scales to advance our understanding of learner preferences for online learning modalities: the Modalities of Digital Education -- Learner Preference…
Descriptors: Postsecondary Education, Electronic Learning, Internet, College Students
Emily Nordmann; Barbora Hronska; Jill R. D. MacKay – Research in Learning Technology, 2025
Many universities implemented blended and hybrid delivery for the first time during the COVID-19 pandemic, and as such, the use of terms that relate to various manifestations and implementations of blended learning has increased significantly by all higher education stakeholders. However, the meaning ascribed to these terms is often inconsistent…
Descriptors: Higher Education, College Faculty, Teacher Attitudes, Blended Learning
Obeng, Asare Yaw – Cogent Education, 2023
The learning processes have been significantly impacted by technology. Numerous learners have adopted technology-based learning systems as the preferred form of learning. It is then necessary to identify the learning styles of learners to deliver appropriate resources, engage them, increase their motivation, and enhance their satisfaction and…
Descriptors: Predictor Variables, Cognitive Style, Electronic Learning, College Freshmen
Kathryn Kerensky – WICHE Cooperative for Educational Technologies (WCET), 2024
To advance WICHE Cooperative for Educational Technologies' (WCET) work on digital learning modalities, a survey was conducted in summer 2023 to gather insights on institutional definitions, policies, and their impact on students. We also conducted follow-up interviews with participating institutions to delve deeper into their policies and…
Descriptors: Administrators, Teachers, Teacher Attitudes, Administrator Attitudes
Jesse Gleason; Resha Cardone; Andrew Bartlett – Language Learning & Technology, 2024
In the aftermath of the COVID-19 pandemic, we continue to take stock of student learning. Although the "crisis-context" (Gacs et al., 2020) move to fully online instruction may be over, a complete understanding of how student outcomes have been impacted remains. The present study focuses on how students' Spanish language proficiency, as…
Descriptors: COVID-19, Pandemics, Language Tests, Spanish
Akshay Mendhakar; Katarzyna Sierak; Kirren Chana; Helmut Leder – AILA Review, 2025
Most reading technologies claim to provide experiences similar to reading on print paper. This study compared reading across different digital platforms and print books. Digital reading mediums used in this study were reading on a PC screen, a handheld e-reader and an iPad. A total of eighty participants enrolled in various university courses took…
Descriptors: College Students, Learning Modalities, Electronic Books, Handheld Devices
Marivic G. Molina; Erna V. Yabut – Journal of Practical Studies in Education, 2025
This study investigated the impact of computer-aided assessment on the enhancement of critical thinking skills in non-routine problem-solving across three distinct learning delivery modalities: fully online, balanced blended, and predominantly face-to-face (F2F) blended. The study aimed to evaluate the effectiveness of computer-aided assessment in…
Descriptors: Critical Thinking, Thinking Skills, Skill Development, Computer Assisted Testing

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