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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
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Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
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HaeJin Lee; Nigel Bosch – International Journal of STEM Education, 2024
Self-regulated learning (SRL) strategies can be domain specific. However, it remains unclear whether this specificity extends to different subtopics within a single subject domain. In this study, we collected data from 210 college students engaged in a computer-based learning environment to examine the heterogeneous manifestations of learning…
Descriptors: Computer Assisted Instruction, Self Management, Intellectual Disciplines, College Students
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Albert Rof; Andrea Bikfalvi; Pilar Marques – TechTrends: Linking Research and Practice to Improve Learning, 2025
Microlearning is gaining ground in the higher education domain. Despite this trend, there is a lack of evidence of effectiveness when a large number of microlearning units are grouped to form a macrolearning programme. The purpose of this paper is to explore how and why a macrolearning affects students' self-efficacy. The originality of this paper…
Descriptors: Business Education, Teaching Methods, Computer Assisted Instruction, Critical Thinking
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Fernando López-Calatayud; Jesús Tejada – Research Studies in Music Education, 2024
Self-regulation strategies and behaviors are important aspects of instrumental music learning because they allow students to set learning goals by testing and controlling their cognition, motivation, behaviors, and emotions. This work investigates the self-regulation processes of four young instrumentalists (aged 10-11 years) in their initial…
Descriptors: Metacognition, Music Education, Learning Motivation, Musical Instruments
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Mariel Miller; Safoura Askari – OTESSA Journal, 2024
The ability to collaborate online is an essential skill that allows learners to bring together diverse perspectives to deepen understanding regardless of physical location. As online learning and hybrid workplaces have become more prevalent since the COVID-19 global pandemic, the critical nature of this skill has become particularly relevant for…
Descriptors: Test Construction, Undergraduate Students, Computer Mediated Communication, Cooperative Learning
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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
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van Harsel, Milou; Hoogerheide, Vincent; Janssen, Eva; Verkoeijen, Peter; van Gog, Tamara – Instructional Science: An International Journal of the Learning Sciences, 2022
Presenting novices with examples and problems is an effective and efficient way to acquire new problem-solving skills. Nowadays, examples and problems are increasingly presented in computer-based learning environments, in which learners often have to self-regulate their learning (i.e., choose what type of task to work on and when). Yet, it is…
Descriptors: Video Technology, Metacognition, Problem Based Learning, Problem Solving
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Mary Opio-Göres; Ingo Kollar; Birgit Dorner – Journal of Social Work Education, 2024
Assessing cases of child welfare requires the ability to engage with different sources of information systematically. This study examined how case-based learning (CBL) can be used to support social work students (N = 104) acquire knowledge crucial to assessing cases of child welfare and whether benefits of CBL could be maximized by structuring the…
Descriptors: Social Work, Counselor Training, Metacognition, Concept Formation
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Vaux, Dana E.; Moore, Tami J.; Nordhues, Jeffrey D. – International Journal of Technology in Education, 2022
This paper presents a model for mastery learning. The framework for this model overlays the cognitive and knowledge dimensions from Krathwohl's revision of Bloom's Taxonomy, the Revised Taxonomy, with Polanyi's theory of personal knowledge. A simplified framework integrates Polanyi's concepts of subsidiary and focal awareness with the Revised…
Descriptors: Risk, Creativity, Thinking Skills, Technology Integration
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Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
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Dindar, Muhterem; Malmberg, Jonna; Järvelä, Sanna; Haataja, Eetu; Kirschner, Paul A. – Education and Information Technologies, 2020
This study investigated the interplay of temporal changes in self-regulated learning processes (i.e., behavioral, cognitive, motivational and emotional) and their relationship with academic achievement in computer-supported collaborative learning. The study employed electrodermal activity and self-report data to capture the dynamicity of…
Descriptors: Metacognition, Learning Processes, Academic Achievement, Computer Assisted Instruction
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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
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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
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Kessler, Matt – Computer Assisted Language Learning, 2023
Mobile-assisted language learning (MALL) has witnessed an explosion of interest from consumers and researchers. However, consumers often complain about the limited functionality of MALL applications, which typically do not allow for critical self-reflection or for users to consider different aspects of their learning such as the task itself, the…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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