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Elise V. van Wijk; Floris M. van Blankenstein; Jeroen Donkers; Roemer J. Janse; Jacqueline Bustraan; Liesbeth G. M. Adelmeijer; Eline A. Dubois; Friedo W. Dekker; Alexandra M. J. Langers – Advances in Health Sciences Education, 2024
Despite the increasing implementation of formative assessment in medical education, its' effect on learning behaviour remains questionable. This effect may depend on how students value formative, and summative assessments differently. Informed by Expectancy Value Theory, we compared test preparation, feedback use, and test-taking motivation of…
Descriptors: Progress Monitoring, Medical Education, Feedback (Response), Student Motivation
Gamze Türkmen; Sinan Hopcan; Elif Polat – Journal of Learning and Teaching in Digital Age, 2024
This research explores how metacognitive strategies influence the metacognitive awareness of undergraduate students enrolled in an online flipped programming course. It specifically focuses on regulatory actions crucial for success in programming instruction and distance education settings. The primary objective is to contribute to the existing…
Descriptors: Undergraduate Students, Metacognition, Online Courses, Programming
Dignath, Charlotte; van Ewijk, Reyn; Perels, Franziska; Fabriz, Sabine – Educational Psychology Review, 2023
Self-monitoring is an integral part of self-regulated learning. Tools that foster learners' monitoring, such as learning journals, portfolios, or rubrics, are supposed to promote self-regulation and to improve performance. The aim of this meta-analysis was to examine the effectiveness of tools designed to foster monitoring on learning-related…
Descriptors: Progress Monitoring, Student Behavior, Meta Analysis, Program Effectiveness
Malmberg, Jonna; Saqr, Mohammed; Järvenoja, Hanna; Järvelä, Sanna – Journal of Learning Analytics, 2022
The current study uses a within-person temporal and sequential analysis to understand individual learning processes as part of collaborative learning. Contemporary perspectives of self-regulated learning acknowledge monitoring as a crucial mechanism for each phase of the regulated learning cycle, but little is known about the function of the…
Descriptors: High School Students, Group Activities, Learning Processes, Student Motivation
David Woods; Laura Poe; Nita Brooks; Melinda Korzaan; Andrea Hulshult – Journal of Effective Teaching in Higher Education, 2024
Research in higher education has consistently focused on determining factors that influence student success and retention in academic programs. Successful students also positively impact the effectiveness of teaching practices used in a course. Previous work shows that a recurring set of assignments where students reflect on past work and set a…
Descriptors: College Students, Metacognition, Learning Strategies, Study Skills
Leenknecht, Martijn; Hompus, Priscilla; van der Schaaf, Marieke – Assessment & Evaluation in Higher Education, 2019
To make sure that feedback fulfils its aspirations, students' active role in feedback should be acknowledged in higher education: It is students' uptake of feedback that determines its effectiveness. In this study, feedback seeking behaviour of students is introduced in order to enrich our knowledge about students' active role in feedback. Goal…
Descriptors: College Students, Help Seeking, Feedback (Response), Goal Orientation
Alonso-Mencía, M. Elena; Alario-Hoyos, Carlos; Maldonado-Mahauad, Jorge; Estévez-Ayres, Iria; Pérez-Sanagustín, Mar; Delgado Kloos, Carlos – Educational Review, 2020
Learners in massive open online courses (MOOCs) are required to be autonomous during their learning process, and thus they need to self-regulate their learning to achieve their goals. According to existing literature, self-regulated learning (SRL) research in MOOCs is still scarce. More studies which build on past works regarding SRL in MOOCs are…
Descriptors: Online Courses, Independent Study, Self Management, Learning Strategies
Baas, Diana; Castelijns, Jos; Vermeulen, Marjan; Martens, Rob; Segers, Mien – British Journal of Educational Psychology, 2015
Background: Assessment for Learning (AfL) is believed to create a rich learning environment in which students develop their cognitive and metacognitive strategies. Monitoring student growth and providing scaffolds that shed light on the next step in the learning process are hypothesized to be essential elements of AfL that enhance cognitive and…
Descriptors: Correlation, Elementary School Students, Cognitive Processes, Metacognition
Witthaus, Gabi – Open Praxis, 2018
This paper presents a case study evaluating the online learning experience of ten refugees on MOOCs. Qualitative data were collected from the learners, generating a set of 43 statements depicting the learners' experience of learning, which were analysed using an augmented Community of Inquiry (CoI) theoretical framework. The key findings show that…
Descriptors: Case Studies, Refugees, Online Courses, Large Group Instruction
Zhang, Dake; Xin, Yan Ping; Harris, Karleah; Ding, Yi – Learning Disability Quarterly, 2014
The purpose of the present study was to examine the effectiveness of a strategic training program for improving students' performance in solving multiplication problems. The participants were 3 third graders with math difficulties. In this teaching experiment, microgenetic analysis was used to analyze improvement in students' strategic development…
Descriptors: Multiplication, Learning Strategies, Mathematics Skills, Grade 3
Beuls, Katrien – Research-publishing.net, 2013
Construction Grammar (CxG) is a well-established linguistic theory that takes the notion of a construction as the basic unit of language. Yet, because the potential of this theory for language teaching or SLA has largely remained ignored, this paper demonstrates the benefits of adopting the CxG approach for modelling a student's linguistic…
Descriptors: Grammar, Counseling Theories, Second Language Instruction, Second Language Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Alghamdi, Fatimah M. A. – English Language Teaching, 2016
There is consensus among those involved in teaching English as a foreign language (EFL) in the Saudi educational context that students' achievement in language learning is below expectations. Much research has been directed towards finding the reasons for low achievement amongst learners. However, very few studies have looked at parameters of…
Descriptors: Foreign Countries, Independent Study, English (Second Language), Second Language Instruction
Mannion, James; Mercer, Neil – Curriculum Journal, 2016
In 2010, a comprehensive secondary school in the south of England implemented a whole-school approach to "learning to learn" (L2L). Drawing on a range of evidence-based practices, a team of teachers worked collaboratively to design and deliver a taught L2L curriculum to all students throughout Key Stage 3. In total, the first cohort of…
Descriptors: Foreign Countries, Secondary Schools, Secondary Education, Learning Processes
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