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Xingsu Wu; Chunyang Xu – Education and Information Technologies, 2025
This study, anchored in the empirical domain of student learning experiences, employs the Chaoxing Fanya network teaching platform to delineate a comprehensive model of factors that influence student learning experiences within the framework of blended collaborative learning. Through a rigorous synthesis of extant literature and qualitative…
Descriptors: Learning Experience, Blended Learning, Cooperative Learning, College Students
Esen Altunay; Nedim Özdemir – Studies in Continuing Education, 2025
Policymakers worldwide are grappling with devising robust policies aimed at enhancing adult learning, due to its growing significance in bolstering competitiveness within knowledge-based economies. However, there is scant research on adult learning strategies for improving intrapersonal or social practice approaches, particularly in work settings,…
Descriptors: Foreign Countries, Adults, Adult Learning, Learning Strategies
Daniel Eriksson Sörman; Elisabeth Åström; Mikael Ahlström; Rolf Adolfsson; Jessica Körning Ljungberg – International Journal of Lifelong Education, 2024
Today, adult individuals must be able to continuously learn and adapt to the rapid changes occurring in society. However, little is known about the individual characteristics, particularly personality traits, that make adults more likely to engage in learning activities. Moreover, few studies have longitudinally and objectively investigated the…
Descriptors: Personality Traits, Learner Engagement, Lifelong Learning, Adult Learning
Roman Abel; Anique de Bruin; Erdem Onan; Julian Roelle – Educational Psychology Review, 2024
Distinguishing easily confusable categories requires learners to detect their predictive differences. Interleaved sequences -- switching between categories -- help learners to detect such differences. Nonetheless, learners prefer to block -- switching within a category -- to detect commonalities. Across two 2 × 2-factorial experiments, we…
Descriptors: Sequential Learning, Learning Strategies, Interference (Learning), Classification
Nguyen Thi Thuy Thu; Mun Woo Lee – Asia-Pacific Education Researcher, 2025
This research aimed to determine the factor that had the most significant contribution to students' motivation to learn English and the predictors of each element in the L2 Motivational Self System (L2MSS) model in the Vietnamese context. Quantitative results were collected from 231s to year English major students via the survey questionnaire…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Learning Motivation
Andrew Jenkins – Studies in Continuing Education, 2024
This paper draws on longitudinal birth cohort data for Britain to analyse participation in learning activities by people in their 30s and 40s. People in this age group have received less attention than either young adults or people in retirement. Yet technical change and the need for new skills make it important for them to engage in learning to…
Descriptors: Adults, Midlife Transitions, Lifelong Learning, Job Skills
Dax-Andrew Parcells – ProQuest LLC, 2024
Problem-solving, collaboration, and adaptability to in-person and virtual environments are critical for success today. Therefore, brick-and-mortar and online instructional models have shifted to ensure that K-12 students are prepared with these skills for 21st-century challenges. Grounded in systems theory, the study examined the inputs,…
Descriptors: Problem Based Learning, Geometry, Electronic Learning, Student Centered Learning
Ottenad, Autumn H. – ProQuest LLC, 2023
This research endeavors to investigate the factors that influence satisfaction with online learning among secondary students in hybrid or blended environments in the United States. With a focus on social-emotional learning and digital citizenship, the study begins the exploration and the impact of teacher interactions, teaching presence,…
Descriptors: Predictor Variables, Secondary School Students, Student Satisfaction, Electronic Learning
Yanjun Yang; Jun Tan – SAGE Open, 2025
Due to the rapid advancement of the Internet and technology, blended learning has gradually gained widespread acceptance among students, teachers, and educational institutions, emerging as the new norm in the post-pandemic era. This study aims to examine the factors influencing active engagement of undergraduate English-as-a-foreign-language (EFL)…
Descriptors: Undergraduate Students, Learner Engagement, English (Second Language), Second Language Instruction
Alvin M. Ramos; Hyunkyung Lee; Romualdo A. Mabuan – International Review of Research in Open and Distributed Learning, 2025
This study investigated the relationship among e-learning readiness, learning engagement, and learning performance of preservice teachers in HyFlex learning environments. To identify the causal relationship, data collected from 776 preservice teachers at four universities in the Philippines were analyzed using structural equation modeling (SEM).…
Descriptors: Blended Learning, Preservice Teachers, Electronic Learning, Readiness
Using Analytics to Predict Students' Interactions with Learning Management Systems in Online Courses
Ali Alshammari – Education and Information Technologies, 2024
In online education, it is widely recognized that interaction and engagement have an impact on students' academic performance. While previous research has extensively explored interactions between students, instructors, and content, there has been limited exploration of course design elements that promote the fourth type of interaction:…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Correlation
Hilpert, Jonathan C.; Greene, Jeffrey A.; Bernacki, Matthew – British Journal of Educational Technology, 2023
Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform…
Descriptors: Learning Theories, Independent Study, Artificial Intelligence, Biology
Fu Chen; Chang Lu; Ying Cui – Education and Information Technologies, 2024
Successful computer-based assessments for learning greatly rely on an effective learner modeling approach to analyze learner data and evaluate learner behaviors. In addition to explicit learning performance (i.e., product data), the process data logged by computer-based assessments provide a treasure trove of information about how learners solve…
Descriptors: Computer Assisted Testing, Problem Solving, Learning Analytics, Learning Processes
Yavuz Akbulut; Onur Dönmez; Beril Ceylan; Tayfun Firat – Journal of Computing in Higher Education, 2025
Providing pre-training on new material can simplify complex content for learners who may need guidance to understand basic facts and organize their efforts. However, the effect of pre-training on learning outcomes is controversial because it tends to vary by context. Our aim was to investigate the effectiveness of pre-training in reducing…
Descriptors: Training, Cognitive Processes, Difficulty Level, Academic Achievement
Nathan Mentzer; Elnara Mammadova; Adrie Koehler; Lakshmy Mohandas; Shawn Farrington – Educational Technology Research and Development, 2025
During COVID, HyFlex gained popularity and became a "new normal" that educators need to consider as an effective instructional approach. Previous research offers conflicting findings related to the impact of HyFlex instruction on students' basic psychological needs and academic performance. Our investigation provides insight into a…
Descriptors: Psychological Needs, Academic Achievement, Pandemics, COVID-19

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