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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
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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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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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Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
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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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Saqr, Mohammed; Jovanovic, Jelena; Viberg, Olga; Gaševic, Dragan – Studies in Higher Education, 2022
Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…
Descriptors: Meta Analysis, Learning Analytics, Predictor Variables, Correlation
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Burcu Ünal; Suzan Kavanoz; Ezgi Aydemir Altas – International Journal of Education in Mathematics, Science and Technology, 2024
Flipped learning has become the focus in many educational contexts especially with the integration of technological tools in learning space for the last decade. In flipped learning, learners perform surface learning at home, whereas deep learning such as problem-solving, critical thinking exercises etc. is covered in the classroom which…
Descriptors: Flipped Classroom, Learning Motivation, Learning Strategies, COVID-19
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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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Alamer, Abdullah; Alrabai, Fakieh – Applied Linguistics, 2023
It is well known that successful second language (L2) learners are motivated individuals. Accordingly, L2 researchers have tested the predictive power of different motivational constructs on language learning outcomes. However, this perspective appears to neglect the assessment of achievement as a predictor of future motivation. To assess this…
Descriptors: Learning Motivation, Second Language Learning, Achievement, Academic Achievement
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Khurshid, Shabana; Amin, Faseeh; Masoodi, Nayera; Khan, Mohammad Furqan – International Journal of Learning Technology, 2023
This work has investigated the relationship between SM use and its four antecedents, i.e., perceived interactivity, perceived usefulness, perceived ease of use and perceived enjoyment. Moreover, it has also examined the association of SM use with its outcome variables, i.e., active learning, creativity and collaborative learning, leading to…
Descriptors: Electronic Learning, Social Media, Interaction, Usability
Peterson, Sarah E. – ProQuest LLC, 2023
Instructors are steadily incorporating collaborative learning technology into their online classes to help promote effective learning strategies. A learning management system (LMS), such as Blackboard, offers their own collaborative technologies, but some instructors are turning to free and open source system (FOSS) to conduct these collaborative…
Descriptors: Technology Integration, Learning Management Systems, Open Educational Resources, Cooperative Learning
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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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Lingqi Meng; Chen Qiu; Xinling Liu; Minghui Kong – Asia Pacific Journal of Education, 2025
This study explores structural relations among learning environment, achievement goals and reading achievement in China. The sample contains 12,058 Chinese students from the Programme for International Student Assessment (PISA) 2018 study. Multilevel Structural Equation Modeling (Multilevel SEM) is used for data analysis. The results indicate that…
Descriptors: Educational Environment, Academic Achievement, Goal Orientation, Reading Achievement
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Becirovic, Senad; Dubravac, Vildana; Brdarevic-Celjo, Amna – SAGE Open, 2022
The importance of applying cooperative learning and aiming toward an increase in motivation to maximize the effectiveness of the learning process has not sparked an intense research interest in the Bosnian EFL context. Thus, the current study, conducted among 211 high-school participants, explores the impact of gender and grade level on students'…
Descriptors: Cooperative Learning, Learning Motivation, Academic Achievement, Learning Processes
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Çetin, Baris – Educational Policy Analysis and Strategic Research, 2022
This study aims to determine whether university students' levels of online self-regulated learning, online technologies self-efficacy, and motivated strategies for learning predict their general academic achievement and online academic achievement. In this study, the scanning design and the prediction research design were used. The participants of…
Descriptors: Foreign Countries, College Students, Independent Study, Electronic Learning
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