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Jodie Torrington; Matt Bower; Emma C. Burns – British Journal of Educational Technology, 2024
It is well-established that being a self-regulated learner is beneficial academically, motivationally and is considered essential for productive life-long learning. Despite this, there is limited evidence examining how different measures of self-regulation for learning (SRL) relate to task performance for young students learning in digital…
Descriptors: Elementary School Students, Elementary Education, Electronic Learning, Independent Study
Bembenutty, Héfer – New Directions for Teaching and Learning, 2023
Along with the increased interest in self-regulated learning research, there has been a high engrossment in computer-based learning environments that facilitate instruction and promote learning. These two crucial pedagogical approaches have been identified as being valuable to educators and learners. They merit refreshed considerations in light of…
Descriptors: Metacognition, Computer Assisted Instruction, Teaching Methods, Learning Processes
Zheng, Juan; Lajoie, Susanne P.; Wang, Tingting; Li, Shan – Metacognition and Learning, 2023
Computer-supported scaffolding plays a pivotal role in advancing problem-solving skills and improving cognitive learning outcomes in self-regulated learning. However, there is limited research on the effectiveness of different types of scaffolds and the role they play in the context of clinical problem-solving. This study performed latent profile…
Descriptors: Computer Assisted Instruction, Medical Education, Medical Students, Problem Solving
Aydin Bulut; Mustafa Yildiz – Journal of Computer Assisted Learning, 2024
Background: The use of computer-assisted reading comprehension is of critical importance in the context of promoting effective and engaging literacy education in the digital age. It provides students with the opportunity to work at their own pace and convenience, thereby facilitating self-directed learning and accommodating various learning…
Descriptors: Computer Assisted Instruction, Direct Instruction, Reading Comprehension, Technology Uses in Education
W. A. Piyumi Udeshinee; Ola Knutsson; Sirkku Männikkö-Barbutiu – International Journal of Mobile and Blended Learning, 2024
Even though the importance of corrective feedback (CF) is widely recognized, there is no agreement on the most effective type of CF for promoting self-regulation. Thus, this study adopts a sociocultural perspective on learning and employs dynamic assessment (DA) as a CF form. DA is considered a theoretically promising approach to CF as it focuses…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Metacognition
Mahuda, Isnaini; Nasrullah, Anton; Mubarika, Melinda Putri; Meilisa, Ranny; Fajari, Laksmi Evasufi Widi – Online Submission, 2022
This study aimed; (1) to investigate student responses toward the use of android-based media assisted by Smart Apps Creator for mathematics learning; (2) to investigate student self-regulated learning level; (3) to find out whether there was an effect using Android-based mathematics learning media assisted by Smart Apps Creator on student…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Assisted Instruction, Telecommunications
Munshi, Anabil; Biswas, Gautam; Baker, Ryan; Ocumpaugh, Jaclyn; Hutt, Stephen; Paquette, Luc – Journal of Computer Assisted Learning, 2023
Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning…
Descriptors: Scaffolding (Teaching Technique), Metacognition, Independent Study, Intelligent Tutoring Systems
Viberg, Olga; Kukulska-Hulme, Agnes; Peeters, Ward – International Journal of Mobile and Blended Learning, 2023
Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…
Descriptors: Metacognition, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Fadli, Failasuf; Budiningsih, Chatarina Asri; Wahyono, Sugeng Bayu; Sukirno; Parthasarathy, Karthikeyan; Johari, Razana Juhaida – International Journal of Evaluation and Research in Education, 2022
This article aims to build paradigms, strategies, and stages of learning models that can reduce learning barriers. The learning process can benefit changes in cognitive, affective, and psychomotor aspects for the better. This research was conducted because it saw the reality of the problem of low learning achievement. This was qualitative study…
Descriptors: Independent Study, Learning Processes, Learning Strategies, Barriers
Yang, Yin; Wen, Yun; Song, Yanjie – Educational Technology & Society, 2023
The role of self-regulated learning in language learning has been widely acknowledged, and there is a growing number of studies on technology-enhanced self-regulated language learning (SRLL). This systematic review aims to provide a holistic picture of existing studies in this area by identifying the characteristics of published studies, the…
Descriptors: Metacognition, Second Language Learning, Second Language Instruction, Research Reports
Peng, Hongying; Jager, Sake; Lowie, Wander – Computer Assisted Language Learning, 2022
Mobile technologies provide opportunities for L2 learners to engage in complex interactions involving a multitude of cognitive, meta-cognitive, and affective factors. Understanding the process of learners' mobile language learning thus needs holistic approaches that integratively consider learner attributes and their interaction with mobile…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
Carter, Richard Allen, Jr. – ProQuest LLC, 2017
This dissertation consists of five chapters. The first chapter serves to introduce the Modern Learning Environment (MLE) by discussing the challenges of designing and measuring student performance in these novel environments. Chapter two of the dissertation reviews the current research base of studying self-regulated learning in the modern…
Descriptors: Educational Environment, Academic Achievement, Educational Technology, Independent Study
Marshman, Emily; DeVore, Seth; Singh, Chandralekha – Physical Review Physics Education Research, 2020
With limited time available in the classroom, e-learning tools can supplement in-class learning by providing opportunities for students to study and learn outside of class. Such tools can be especially helpful for students who lack adequate prior preparation. However, one critical issue is ensuring that students, especially those in need of…
Descriptors: Physics, Science Instruction, Electronic Learning, Independent Study
Cárdenas-Claros, Mónica Stella – Computer Assisted Language Learning, 2022
This paper reports the results of three independent qualitative case studies that examined interactions with feedback as L2 listeners worked in self-regulated environments. Data on high-intermediate learners of English were collected from case studies conducted in Australia, Colombia and Chile. Results show that L2 listeners across case studies…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Chatti, Mohamed Amine; Muslim, Arham – International Review of Research in Open and Distributed Learning, 2019
Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing…
Descriptors: Guidelines, Data Analysis, Learning Experience, Metacognition

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