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Showing 1 to 15 of 93 results Save | Export
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George Kinnear; Paola Iannone; Ben Davies – Educational Studies in Mathematics, 2025
Example-generation tasks have been suggested as an effective way to both promote students' learning of mathematics and assess students' understanding of concepts. E-assessment offers the potential to use example-generation tasks with large groups of students, but there has been little research on this approach so far. Across two studies, we…
Descriptors: Mathematics Skills, Learning Strategies, Skill Development, Student Evaluation
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Shard; Devesh Kumar; Sapna Koul – International Journal of Information and Learning Technology, 2024
Purpose: This study aims to gain insights into how students perceive online examination practices and evaluation, as well as identify the key factors that impact their intentions toward online exams. Design/methodology/approach: This empirical study conducted in India utilized an online survey method between May 24 and June 14, 2022. The data were…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Student Attitudes
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Ali Rezaei – Journal of Interactive Learning Research, 2024
Educational tools like EdPuzzle, PlayPosit, and Kaltura have gained recent attention, as they purportedly empower educators to incorporate questions, quizzes, and discussions into instructional videos. However, there is no empirical evidence on how or under what circumstances these platforms may impact students' learning. A quasi-experimental…
Descriptors: College Students, Interactive Video, Student Attitudes, College Faculty
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Pingping Zhao; Chun-Yen Chang; Yueyang Shao; Zhi Liu; Hao Zhou; Jian Liu – Journal of Baltic Science Education, 2023
Students' problem-solving strategies and the differences among strategy groups were explored by analyzing the process data collected during student interactions with computer-based science items. Data were gathered from 1516 eleventh-grade students from 4 schools in China. Analyses of the sequences of students' response actions revealed that the…
Descriptors: Foreign Countries, Problem Solving, Learning Strategies, Science Instruction
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Sharmin Söderström – International Journal of Mathematical Education in Science and Technology, 2024
This study focuses on computer-based formative assessment for supporting problem solving and reasoning in mathematics. To be able to assist students who find themselves in difficulties, the software suggested descriptions - diagnoses - of the encountered difficulty the students could choose from. Thereafter, the software provided metacognitive and…
Descriptors: Computer Assisted Testing, Formative Evaluation, Mathematics Instruction, Problem Solving
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Husmann, Polly R.; Smith, Theodore C. – College Teaching, 2022
Previous research has shown the value of retrieval practice and metacognitive awareness for student success. The present research evaluated the use of online question modules, in relationship to examination and final course grades, to encourage the development of these skills in undergraduate anatomy. The results demonstrated trends in both…
Descriptors: Metacognition, Study Habits, Learning Strategies, Computer Assisted Testing
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Carol Rentas; Ramapoza O'Dwyer; Rohini Ganjoo; Marcia A. Firmani; Cliff Cymrot; Yousif Barzani; Lisa S. Schwartz – International Journal of Distance Education Technologies, 2025
This study explored the relationships between English language proficiency and performance in online, asynchronous science courses. Each participant completed a Language Background Questionnaire (LBQ) to indicate if English was not their native language, thus categorizing them as an English Language Learner (ELL). The Combined English Language…
Descriptors: English Learners, Electronic Learning, Asynchronous Communication, Computer Assisted Testing
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Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
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Frida Bertilsson; Tova Stenlund; Anna Sundström; Bert Jonsson – European Journal of Psychology of Education, 2024
Retrieval practice is a learning strategy that has repeatedly been found to have positive effects on memory and learning. However, studies indicate that students rarely use retrieval practice on a voluntary basis. The objective of the present study was to examine students' self-regulated use of retrieval practice, and to determine whether sex and…
Descriptors: Metacognition, Learning Strategies, Gender Differences, Individual Differences
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Schrempft, S.; Piumatti, G.; Gerbase, M. W.; Baroffio, A. – Advances in Health Sciences Education, 2021
This study examined conscientiousness and the perceived educational environment as independent and interactive predictors of medical students' performance within Biggs' theoretical model of learning. Conscientiousness, the perceived educational environment, and learning approaches were assessed at the beginning of the third year in 268 medical…
Descriptors: Undergraduate Students, Medical Students, Educational Environment, Predictor Variables
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Harindranathan, Priya; Folkestad, James – Online Learning, 2019
Instructors may design and implement formative assessments on technology-enhanced platforms (e.g., online quizzes) with the intention of encouraging the use of effective learning strategies like active retrieval of information and spaced practice among their students. However, when students interact with unsupervised technology-enhanced learning…
Descriptors: Learning Analytics, Instructional Design, Learning Strategies, Educational Technology
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Zou, Xiao-Ling; Ou, Ling – Educational Assessment, Evaluation and Accountability, 2020
This paper started with the examination of the effect of mobile-based reading test on EFL test-takers of different attitudes from their perception of metacognitive strategy use and the knock-on impact on test results. Then other possible factors of such impact are explored and corresponding solutions are presented. Quantitative analysis of…
Descriptors: English (Second Language), Second Language Learning, Reading Tests, Computer Assisted Testing
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Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
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Cutumisu, Maria – Interactive Technology and Smart Education, 2018
Purpose: This study aims to examine the impact of the informational value of feedback choices (confirmatory versus critical feedback) on students' performance, their choice to revise and the time they spend designing posters and reading feedback in a computer-based assessment game, Posterlet. Design/methodology/approach: An empirical correlational…
Descriptors: Feedback (Response), Computer Games, Middle School Students, Grade 8
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