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Showing 1 to 15 of 739 results Save | Export
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David P. Reid; Timothy D. Drysdale – IEEE Transactions on Learning Technologies, 2024
The designs of many student-facing learning analytics (SFLA) dashboards are insufficiently informed by educational research and lack rigorous evaluation in authentic learning contexts, including during remote laboratory practical work. In this article, we present and evaluate an SFLA dashboard designed using the principles of formative assessment…
Descriptors: Learning Analytics, Laboratory Experiments, Electronic Learning, Feedback (Response)
Peter Pavlis – Online Submission, 2025
This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…
Descriptors: Critical Thinking, Artificial Intelligence, Constructivism (Learning), Learning Activities
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Lars de Vreugd; Anouschka van Leeuwen; Renée Jansen; Marieke van der Schaaf – Journal of Learning Analytics, 2024
For university students, self-regulation of study behaviour is important. However, students are not always capable of effective self-regulation. Providing study behaviour information via a learning analytics dashboard (LAD) may support phases within self-regulated learning (SRL). However, it is unclear what information a LAD should provide, how to…
Descriptors: Learning Management Systems, Learning Analytics, Student Behavior, Behavior Patterns
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Esnaashari, Shadi; Gardner, Lesley A.; Arthanari, Tiru S.; Rehm, Michael – Journal of Computer Assisted Learning, 2023
Background: It is vital to understand students' Self-Regulatory Learning (SRL) processes, especially in Blended Learning (BL), when students need to be more autonomous in their learning process. In studying SRL, most researchers have followed a variable-oriented approach. Moreover, little has been known about the unfolding process of students' SRL…
Descriptors: Metacognition, Student Attitudes, Learning Strategies, Questionnaires
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Bea Mertens; Sven De Maeyer; Vincent Donche – European Journal of Psychology of Education, 2024
Research on learning strategies and learning motivation in different educational contexts has provided valuable insights, but in this field, low-educated adults remain an understudied population. This study addresses this gap by means of a person-oriented approach and seeks to investigate whether quantitatively and qualitatively different learner…
Descriptors: Profiles, Student Characteristics, Educational Attainment, Adults
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Sager, Turan; Kalaycioglu, Sükrü Göktug; Zahal, Onur – International Online Journal of Education and Teaching, 2022
In this study, it is aimed to determine the effects of active learning activities on viola students' performance and motivation. One group pretest-posttest experimental design was used in the study. The study group consist of 10 students, 7 of them receiving Viola training within the scope of the Individual Instrument course at Gaziosmanpasa…
Descriptors: Active Learning, Learning Activities, Music Education, Musical Instruments
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Rubén Camacho-Sánchez; Jorge Serna Bardavío; Aaron Rillo-Albert; Pere Lavega-Burgués – Interactive Learning Environments, 2024
This study assessed the effects of an educational intervention grounded in gamified game-based learning on attention, relevance, confidence, satisfaction, intrinsic and extrinsic motivation, as well as academic performance, utilizing the ARCS motivational design model. This study involved 384 undergraduates across three physical activity and sport…
Descriptors: Learning Motivation, Academic Achievement, Gamification, Game Based Learning
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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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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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Han, Feifei; Ellis, Robert A. – Education and Information Technologies, 2023
This study investigated the extent to which self-report and digital-trace measures of students' self-regulated learning in blended course designs align with each other amongst 145 first-year computer science students in a blended "computer systems" course. A self-reported Motivated Strategies for Learning Questionnaire was used to…
Descriptors: Computer Science Education, Independent Study, College Freshmen, Blended Learning
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Katrina E. Forbes-McKay; Pauline A. M. Bremner; Pamela Johnston; Carol Air – Journal of Applied Research in Higher Education, 2025
Purpose: This study addresses gaps in the existing literature on students' understanding of Independent Learning (IL), whilst exploring the link between levels of IL, growth mindset, motivated strategies for learning and academic performance. Design/methodology/approach: Three hundred and eighty-six university students recruited via opportunistic…
Descriptors: Independent Study, Student Attitudes, Student Motivation, Learning Strategies
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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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Gan, Zhengdong; Yuan, Zheng; Schumacker, Randall – Journal of Psychoeducational Assessment, 2023
This study examined the psychometric properties of the Motivational scale of the Motivated Strategies for Learning Questionnaire in a sample of 656 Chinese secondary students in an English learning context. Exploratory factor analysis and confirmatory factor analysis results suggested that a five-factor motivational structure fit the data better…
Descriptors: Psychometrics, Secondary School Students, Foreign Countries, English (Second Language)
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Casali, Nicole; Meneghetti, Chiara; Tinti, Carla; Re, Anna Maria; Sini, Barbara; Passolunghi, Maria Chiara; Valenti, Antonella; Montesano, Lorena; Pellegrino, Gerardo; Carretti, Barbara – Journal of Learning Disabilities, 2024
Understanding the individual qualities sustaining students with and without specific learning disabilities (SLDs) is key to supporting their academic achievement and well-being. In this study, we investigated the differences between students with and without SLDs in terms of intraindividual factors (soft skills and study-related factors), academic…
Descriptors: Academic Achievement, Student Satisfaction, College Students, Students with Disabilities
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Bee Leng Chua – Interdisciplinary Journal of Problem-based Learning, 2023
Path analysis is used to provide estimates of the magnitude and significance of hypothesized causal connections among sets of variables displayed using path diagrams. It is an extension of multiple regression analysis and holds strength as a methodology as it allows researchers to assess both direct and indirect effects of multiple independent…
Descriptors: Prediction, Problem Based Learning, Preservice Teachers, Learning Strategies
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