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Eslit, Edgar R. – Online Submission, 2023
This study examines the adaptations and experiences of college-level language learners in the post-pandemic era, providing valuable insights into the transformative nature of language learning in an evolving world. Within the framework of the socio-cultural perspective, this study explores the interplay between technology, self-directed learning,…
Descriptors: Second Language Learning, Second Language Instruction, COVID-19, Pandemics
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Li Dong – Journal of Psycholinguistic Research, 2024
Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…
Descriptors: Resilience (Psychology), Academic Persistence, Second Language Learning, Second Language Instruction
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Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
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Maike Trautner; Carola Grunschel; Malte Schwinger – Educational Psychology Review, 2025
Learners' attempts to regulate their own motivation for studying in the face of tedious or difficult tasks is an important aspect of self-regulated learning. Therefore, motivation regulation has received increasing attention over the past few years, resulting in numerous publications using different definitions of the construct, samples,…
Descriptors: Self Control, Learning Motivation, College Students, Student Attitudes
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Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
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Tatjana Stamenkovska; Carlos Lenin Alvarez Llerena; János Gordon Gyori – Hungarian Educational Research Journal, 2025
While extensive research has been conducted on L2 motivation in the Hungarian context, more studies need to be focused on international students beginning to learn Hungarian while studying in Hungary. This article offers an explanatory investigation into the motivational dispositions influencing the learning of Hungarian as a second language (L2)…
Descriptors: Foreign Students, Learning Motivation, Hungarian, Second Language Learning
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Zachary S. Hazlett; P. Citlally Jimenez; Jennifer K. Knight – CBE - Life Sciences Education, 2025
Evidence abounds that passive strategies such as rereading or highlighting are less effective than active strategies such as drawing models or explaining concepts to others. However, many studies have also reported that students tend to use learning strategies that they perceive as comfortable and easy, even when other strategies may be more…
Descriptors: Self Evaluation (Individuals), Testing, Learning Strategies, Study Habits
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Jess Wei Chin Tan; Horn Mun Cheah; Hian Chye Koh – Cogent Education, 2024
The effects of the direct and indirect relationships of personality traits on academic performance are shared in this paper. These complex relationships are examined using Structural Equation Modelling (SEM) with reference to the modified Biggs' 3P model. The major findings of the effects of personality traits on academic performance are (1) the…
Descriptors: Personality Traits, Academic Achievement, College Students, Correlation
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Selina Ochukut; Robert Oboko; Evans Miriti; Christopher Chepken; Andrew Kahonge; Elizaphan Maina – International Journal of Education and Development using Information and Communication Technology, 2025
E-learning is an emerging trend in most universities. Due to COVID-19, many universities adopted e-learning. With the sudden adoption and implementation of e-learning, learners had to undergo learning on how to learn and take examinations electronically, which could have increased cognitive load in their learning experience. Without regular, face…
Descriptors: Electronic Learning, Cognitive Ability, Learning Motivation, Learning Experience
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Budi Waluyo; Kritsadee Songkhai; Jiali Li – TESL-EJ, 2024
Despite the increased adoption of online learning in higher education, there was limited knowledge about how the combination of online English synchronous learning with gamified applications and active learning impacted student self-regulation. This study used a sequential explanatory research design to investigate this integration in an English…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Active Learning
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Mohamed Shameem Adam; Junainah Abd Hamid; Ali Khatibi; S. M. Ferdous Azam – Discover Education, 2025
Although the Community of Inquiry is a widely used instructional model for online and blended learning, there is a lack of comprehensive research on its effects on learner motivation. This study examines the relationship between CoI presences--teaching presence, social presence, and cognitive presence--and autonomous motivation in blended…
Descriptors: Communities of Practice, College Students, Psychological Needs, Personal Autonomy
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Crossette, Nathan; Carr, Lincoln D.; Wilcox, Bethany R. – Physical Review Physics Education Research, 2023
Social network analysis (SNA) has been gaining traction as a technique for quantitatively studying student collaboration. We analyze networks, constructed from student self-reports of collaboration on homework assignments, in two courses from the University of Colorado Boulder and one course from the Colorado School of Mines. All three courses…
Descriptors: Social Networks, Cooperation, Student Behavior, Homework
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Andrew Walker; Naomi R. Aguiar; Raechel N. Soicher; Yu-Chun Kuo; Jessica Resig – Online Learning, 2024
In higher education, motivational factors are considered one of "the strongest predictors of academic performance" (Honike et al., 2020, p. 1). A meta-analysis of face-to-face (f2f) courses (Richardson et al., 2012) supports these claims, finding a strong correlation between performance self-efficacy and academic performance (r = 0.59),…
Descriptors: Student Motivation, Performance, Correlation, Electronic Learning
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Hengtao Tang; Miao Dai; Xu Du; Jui-Long Hung; Hao Li – Innovations in Education and Teaching International, 2024
Blended learning has been widely integrated in college-level computer science education. Despite evidence about benefits of blended learning, students' in-class activities remain underexplored. To afford effective blended learning experience, supporting students in both modalities is essential. This study thus took an initial step to fill the gap…
Descriptors: Blended Learning, Computer Science Education, Online Courses, Pretests Posttests
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