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Showing 1 to 15 of 132 results Save | Export
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Behçet Oral; Nese Dokumaci-Sütçü – Journal of Theoretical Educational Science, 2025
The aim of this study is to develop a valid and reliable scale to measure the time traps teachers fall into during the teaching-learning process. The sample consists of 234 final-year students continuing their education at the Faculty of Education in the first implementation and 233 pedagogical formation students in the second implementation.…
Descriptors: Test Construction, Time Management, Test Validity, Test Reliability
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Yingbin Zhang; Yafei Ye; Luc Paquette; Yibo Wang; Xiaoyong Hu – Journal of Computer Assisted Learning, 2024
Background: Learning analytics (LA) research often aggregates learning process data to extract measurements indicating constructs of interest. However, the warranty that such aggregation will produce reliable measurements has not been explicitly examined. The reliability evidence of aggregate measurements has rarely been reported, leaving an…
Descriptors: Learning Analytics, Learning Processes, Test Reliability, Psychometrics
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Saleh Alhazbi; Afnan Al-ali; Aliya Tabassum; Abdulla Al-Ali; Ahmed Al-Emadi; Tamer Khattab; Mahmood A. Hasan – Journal of Computer Assisted Learning, 2024
Background: Measuring students' self-regulation skills is essential to understand how they approach their learning tasks in order to identify areas where they might need additional support. Traditionally, self-report questionnaires and think aloud protocols have been used to measure self-regulated learning skills (SRL). However, these methods are…
Descriptors: Learning Analytics, Independent Study, Higher Education, College Students
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Pushpa Kumari Sunar; Binod Prasad Pant; Niroj Dahal – Alberta Journal of Educational Research, 2024
Reflective practice can guide educators toward enhancing their abilities, comprehension, and expertise, reflecting on their experiences to grow personally, professionally, and academically, thereby elevating the overall standard of their work. This paper aims to narrate the perception, practice, challenges, opportunities, and outcomes of…
Descriptors: STEM Education, Art Education, Reflective Teaching, Science Teachers
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Martinie Marie-Amélie; Rebecca Shankland – Cogent Education, 2023
Poor academic performance is known to be linked to the tendency to procrastinate. The latter is thought to reflect deficits in effort regulation and study time management (i.e. learning-related resources), but some recent results have suggested that it could stem from psychological inflexibility. The main objective of the present study was thus to…
Descriptors: College Freshmen, Foreign Countries, Time Management, Study Habits
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Kexin Qin; Yehui Wang – European Journal of Psychology of Education, 2025
Homework is a self-regulated activity that constitutes a large proportion of learning time. In mathematics, how long is the optimal homework time for achievement development and how to improve homework time efficiency have long been questions. The study examined how mathematics homework time was related to mathematics achievement among Chinese…
Descriptors: Mathematics Achievement, Homework, Guidance, Metacognition
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Karla Elizondo; Rafael Valenzuela; José V. Pestana; Nuria Codina – Psychology in the Schools, 2024
Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…
Descriptors: Self Management, College Students, Time Management, Student Motivation
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Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
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Peter E. Doolittle; Krista P. Wojdak; C. Edward Watson; Dawn N. Adams; Gina Mariano – Journal of the Scholarship of Teaching and Learning, 2024
Multitasking has been demonstrated to negatively impact performance across a wide range of tasks, including in the classroom, yet students continue to multitask. This study examined the relationship between college students' perceptions and performance of technology-based multitasking. Technology-based multitasking and self-efficacy data were…
Descriptors: Undergraduate Students, Task Analysis, Critical Incidents Method, Self Efficacy
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Parpala, Anna; Mattsson, Markus; Herrmann, Kim Jesper; Bager-Elsborg, Anna; Hailikari, Telle – Scandinavian Journal of Educational Research, 2022
This paper examines disciplinary differences in the combinations of approaches to learning (i.e., learning profiles) among students, and how those combinations are related to academic achievement. In addition, the study focuses on how different learning profiles are related to students' self-efficacy beliefs in different disciplines. Data consist…
Descriptors: Cognitive Style, Self Efficacy, Academic Achievement, Profiles
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Anita Reitan; Margrethe Waage; Laurence Habib – Teaching in Higher Education, 2024
This article explores lecturers' experience of adapting, shaping and transforming teaching and learning during the COVID-19 pandemic. The study focuses on understanding the challenges and opportunities that are afforded by pandemic-induced changes in terms of digital teaching and learning and their post-pandemic implications. Empirical data were…
Descriptors: Teaching Methods, Learning Processes, COVID-19, Pandemics
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Nalbone, David P.; Ashoori, Minoo; Fasanya, Bankole K.; Pelter, Michael W.; Rengstorf, Adam – International Journal for the Scholarship of Teaching and Learning, 2023
Much discussion in higher education has focused upon predicting student learning, and how to identify students who may be at particular risk of failure. Little research has actually tackled that challenge, and research on the scholarship of teaching and learning (SoTL) in this areas is scarce; this study does so by measuring students across three…
Descriptors: College Students, Predictor Variables, Academic Achievement, Identification
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Yu, Yang; Jiang, Yingjie; Li, Feifei – Metacognition and Learning, 2020
Metamemory refers to the metacognitive awareness of one's own memory status. Previous research has shown that item value plays a dominant role in self-regulated study (e.g., strategic choices regarding when, what, and how to study). In spite of extensive research on the effects of item value on in learners' study behaviour, less is known about the…
Descriptors: Study Habits, Time Management, Time Factors (Learning), Metacognition
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Schuetze, Brendan A.; Yan, Veronica X. – Cognitive Science, 2022
Learners are often constrained by their available study time, typically having to make a trade-off between depth and breadth of learning. Classic experimental paradigms in memory research treat all items as equally important, but this is unlikely the case in reality. Rather, information varies in importance, and people vary in their ability to…
Descriptors: Learning Processes, Study Habits, Time Factors (Learning), Time Management
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