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Axel Grund; Stefan Fries; Matthias Nückles; Alexander Renkl; Julian Roelle – Educational Psychology Review, 2024
In the context of instructional design and self-regulated learning research, the notion of mental effort allocation, monitoring, and control has gained increasing attention. Bringing together a cognitive perspective, focusing on Cognitive Load Theory, and a motivational perspective, merging central accounts from Situated Expectancy Value Theory…
Descriptors: Cognitive Processes, Metacognition, Performance, Academic Achievement
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Min Liu; Songhee Han; Peixia Shao; Ying Cai – Educational Technology Research and Development, 2025
To help young students succeed in problem-based learning (PBL), researchers suggested investigating students' need for cognition (NFC), one's inclination to exert mental effort during learning. How one puts mental effort into a learning task is related to motivation. If motivated, students are more likely to engage in challenging tasks, put in…
Descriptors: Cognitive Processes, Middle School Students, Learning Motivation, Technology Uses in Education
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Mark Abdelshiheed; Tiffany Barnes; Min Chi – International Journal of Artificial Intelligence in Education, 2024
Two metacognitive knowledge types in deductive domains are procedural and conditional. This work presents a preliminary study on the impact of metacognitive knowledge and motivation on transfer across two Intelligent Tutoring Systems (ITSs), then two experiments on metacognitive knowledge instruction. Throughout this work, we trained students on a…
Descriptors: Metacognition, Intelligent Tutoring Systems, Cognitive Processes, Learning Strategies
Amy Chen Kulesa; Marisa Mission; Michelle Croft; Mary K. Wells – Bellwether, 2025
Generative artificial intelligence (GenAI) is a tool that promises efficiency and customization for teachers and students alike but also carries risks of dependency and detachment. This report aims to explore new questions for educators, system leaders, and tool developers such as how much cognitive effort AI should alleviate, how much it should…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Change, Cognitive Processes
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Breyel, Sabine; Pauen, Sabina – Journal of Cognition and Development, 2023
The current study examined children's spontaneous private speech during the vertical and the horizontal Tube Task to shed light on the cognitive, motivational, and emotional processes underlying tool innovation. Tool innovation is defined as solving a novel problem by using or modifying objects in a new and useful way without prior instructions.…
Descriptors: Preschool Children, Problem Solving, Cognitive Processes, Emotional Response
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Jin, Sung-Hee; Im, Kowoon; Yoo, Mina; Roll, Ido; Seo, Kyoungwon – International Journal of Educational Technology in Higher Education, 2023
Self-regulated learning (SRL) is crucial for helping students attain high academic performance and achieve their learning objectives in the online learning context. However, learners often face challenges in properly applying SRL in online learning environments. Recent developments in artificial intelligence (AI) applications have shown promise in…
Descriptors: College Students, Independent Study, Self Management, Electronic Learning
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Chen, Ching-Huei; Liu, Tung-Kai; Huang, Kun – Journal of Research on Technology in Education, 2023
With the rapid development of artificial intelligence in many disciplines, computational thinking (CT) has become an important skill for the 21st century. To promote vocational high school students' CT skills in learning about programmable logic controllers, this study intended to examine how cognitive and metacognitive prompts separately or…
Descriptors: Vocational High Schools, High School Students, Thinking Skills, Computation
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Kivimäki, Ville; Pesonen, Joonas; Romanoff, Jani; Remes, Heikki; Ihantola, Petri – Journal of Learning Analytics, 2019
The collection and selection of the data used in learning analytics applications deserve more attention. Optimally, selection of data should be guided by pedagogical purposes instead of data availability. Using design science research methodology, we designed an artifact to collect time-series data on students' self-regulated learning and…
Descriptors: Concept Mapping, Diaries, Data Collection, Independent Study
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Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
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Khalil, Mohammed K.; Williams, Shanna E.; Hawkins, H. Gregory – Anatomical Sciences Education, 2018
Much of the content delivered during medical students' preclinical years is assessed nationally by such testing as the United States Medical Licensing Examination® (USMLE®) Step 1 and Comprehensive Osteopathic Medical Licensing Examination® (COMPLEX-USA®) Step 1. Improvement of student study/learning strategies skills is associated with academic…
Descriptors: Learning Strategies, Correlation, Metacognition, Time Management
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Smirnova, Galina I.; Katashev, Valery G. – European Journal of Contemporary Education, 2017
Blended learning is increasingly gaining importance in all levels of educational system, particularly in tertiary education. In engineering profiles the core blended learning activity is students' independent work, the efficiency of which is defined by the degree of students' active involvement into the educational process, their ability to absorb…
Descriptors: Cognitive Processes, Blended Learning, Teaching Methods, Management Systems
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Seroussi, Dominique-Esther; Sharon, Rakefet – International Education Studies, 2017
As a contribution to the efforts to understand the influence of peer presence on self-regulated learning, this paper studies students' reaction to a project-based activity, the final product of which was a scientific communication to peers. In this activity, "peer lecturing," the students formulate a question on a topic linked to the…
Descriptors: Student Projects, Peer Influence, Teaching Methods, Metacognition
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Lee, Eunbae; Hannafin, Michael J. – Educational Technology Research and Development, 2016
Student-centered learning (SCL) identifies students as the owners of their learning. While SCL is increasingly discussed in K-12 and higher education, researchers and practitioners lack current and comprehensive framework to design, develop, and implement SCL. We examine the implications of theory and research-based evidence to inform those who…
Descriptors: Student Centered Learning, Learner Engagement, Elementary Secondary Education, Higher Education
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Allan, David – International Journal on School Disaffection, 2015
In England, one in three 11-16-year-olds is said to illustrate poor behaviour (Sodha and Guglielmi, 2009), while students at Key Stage 4 (14-16) who are not engaged in education are often identified as, or at risk of becoming, disaffected (McKendrick et al., 2007). This paper explores the impact of a vocational learning environment on disaffected…
Descriptors: Foreign Countries, Adolescents, Females, Behavior Problems
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Kormos, Judit – Journal of Second Language Writing, 2012
Although the role of individual differences in second language (L2) speech has been extensively studied, the impact of individual differences on the process of second language writing and the written product has been a neglected area of research. In this paper, I review the most important individual difference factors that might explain variations…
Descriptors: Role, Second Language Learning, English (Second Language), Individual Differences
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