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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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Xinjian Cen; Rachel J. Lee; Christopher Contreras; Melinda T. Owens; Jeffrey Maloy – Journal of Microbiology & Biology Education, 2024
Active learning, including student thinking and discussion in class, has been shown to increase student learning gains. However, it is less clear how instructor-level variation in the implementation and timing of active learning activities affects student gains. Our study aims to investigate the extent to which the time spent on individual…
Descriptors: Time on Task, Active Learning, Learning Activities, Academic Achievement
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Rocío Giselle Fernández Da Lama; María Elena Brenlla – Journal of Applied Research in Higher Education, 2023
Purpose: The present research was based on an online questionnaire. A total of 256 undergraduate psychology students aged 18-44 (M = 23.61; SD = 0.57) from the Pontifical Catholic University of Argentina took part in the study (137 women; 53.3%). A sociodemographic and academic survey and the locally adapted versions of the Zimbardo Time…
Descriptors: Foreign Countries, Undergraduate Students, Academic Achievement, Predictor Variables
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Talsma, Kate; Chapman, Andrew; Matthews, Allison – British Journal of Educational Technology, 2023
Predictors of academic success at university are of great interest to educators, researchers and policymakers. With more students studying online, it is important to understand whether traditional predictors of academic outcomes in face-to-face settings are relevant to online learning. This study modelled self-regulatory and demographic predictors…
Descriptors: Self Management, Student Characteristics, Predictor Variables, Grade Prediction
Sonia Muhammad Almwalad – ProQuest LLC, 2023
Problem: Online learning is a form of distance education that occurs via the Internet (Adams, 2004; Carliner, 1999). The success of online learning depends on student-related factors such as acceptance, willingness, and motivation (Almaiah et al., 2019; Almaiah et al., 2020). When online learning systems are not utilized, students cannot realize…
Descriptors: Undergraduate Students, Electronic Learning, Self Management, Achievement Need
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Okan Bulut; Guher Gorgun; Seyma Nur Yildirim-Erbasli – Journal of Computer Assisted Learning, 2025
Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…
Descriptors: Formative Evaluation, Academic Achievement, Student Participation, Learning Processes
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Chang Lu; Okan Bulut; Carrie Demmans Epp; Mark Gierl – Distance Education, 2025
Engagement is essential for improving academic outcomes, especially in technology-enhanced learning (TEL) environments where self-regulated learning is critical. This study investigated the longitudinal impacts of different levels of engagement on undergraduate students' short-term and long-term academic outcomes in TEL. Using a learning analytics…
Descriptors: Learner Engagement, Outcomes of Education, Technology Uses in Education, Educational Technology
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Rebecca Hey; Mark McDaniel; Flaviu A. Hodis – Metacognition and Learning, 2024
Being an effective learner is an important pillar supporting success in higher education and beyond. This research aimed to uncover the extent to which undergraduate students use a set of commonly researched learning strategies, as well as to understand how learning strategy usage relates to key self-regulation factors proposed in influential…
Descriptors: Undergraduate Students, Learning Processes, Independent Study, Learning Strategies
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Lin Sophie Teng – Language Teaching Research, 2024
This study examines the predictive effects of motivational beliefs and self-efficacy on multiple dimensions of self-regulated learning (SRL) strategies in English as a foreign language (EFL) writing. Undergraduate students (n = 389) were recruited voluntarily from four universities in mainland China. They were invited to complete a set of…
Descriptors: Self Efficacy, Metacognition, Goal Orientation, Predictor Variables
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Sudeshna Pal; Patsy Moskal; Anchalee Ngampornchai – International Journal on E-Learning, 2024
This study investigated the effectiveness of blended instruction in enhancing student success in an advanced undergraduate engineering course. The research used learning analytics captured from pre-recorded lecture videos, course grade data, and student surveys. Results revealed positive correlations between lecture video viewership and course…
Descriptors: Blended Learning, Advanced Courses, Engineering Education, Undergraduate Students
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Kornreich-Leshem, Hagit; Benabentos, Rocio; Hazari, Zahra; Potvin, Geoff; Kramer, Laird – Science Education, 2022
The power of knowledgeable peers (in this case undergraduate learning assistants [LAs]) to scaffold learning in ways that can positively influence both cognitive and affective outcomes in science, technology, engineering, and mathematics (STEM), is explored in this study. In terms of the cognitive perspective, we use a metacognitive awareness (MA)…
Descriptors: STEM Education, Metacognition, Undergraduate Students, Outcomes of Education
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Dever, Daryn A.; Wiedbusch, Megan D.; Cloude, Elizabeth B.; Lester, James; Azevedo, Roger – Discourse Processes: A Multidisciplinary Journal, 2022
This study examined 57 learners' emotions (i.e., joy, anger, confusion, frustration) as they engaged with scientific content while learning about microbiology with Crystal Island, a game-based learning environment (GBLE). Measures of learners' prior knowledge, in-game text comprehension, facial expressions of emotion, and posttest reading…
Descriptors: Psychological Patterns, Reading Comprehension, Game Based Learning, Science Education
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Shiyao Ashlee Zhou; Phil Hiver; Yongyan Zheng – Applied Linguistics, 2023
In this study, we investigated how student engagement and disengagement change over the course of a semester in the L2 classroom. We modeled change at the inter- and intra-individual levels, using time-variant predictors to examine differences in student classroom engagement and disengagement trajectories. In addition to these temporal dynamics,…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Learner Engagement
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Kaya, Suat – Eurasian Journal of Educational Research, 2021
Purpose: Due to the COVID-19 pandemic, which restricted face to face instruction, most of the educational institutions have been obliged to continue their education through distance education without examining the conditions necessary for effective online learning. The researcher who offered more than 100 class hours of English instruction…
Descriptors: Predictor Variables, Student Participation, Online Courses, Electronic Learning
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Hung Tan Ha; Duyen Thi Bich Nguyen; Tim Stoeckel – Language Testing, 2024
Word frequency has a long history of being considered the most important predictor of word difficulty and has served as a guideline for several aspects of second language vocabulary teaching, learning, and assessment. However, recent empirical research has challenged the supremacy of frequency as a predictor of word difficulty. Accordingly,…
Descriptors: Word Frequency, Vocabulary Skills, Second Language Learning, Second Language Instruction
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