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Julius Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Instructional Science: An International Journal of the Learning Sciences, 2024
Self-explanation prompts in example-based learning are usually directed backwards: Learners are required to self-explain problem-solving steps just presented ("retrospective" prompts). However, it might also help to self-explain upcoming steps ("anticipatory" prompts). The effects of the prompt type may differ for learners with…
Descriptors: Problem Based Learning, Problem Solving, Prompting, Models
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Wang, Tingting; Li, Shan; Huang, Xiaoshan; Pan, Zexuan; Lajoie, Susanne P. – Education and Information Technologies, 2023
Students process qualitatively and quantitatively different information during the dynamic self-regulated learning (SRL) process, and thus they may experience varying cognitive load in different SRL behaviors. However, there is limited research on the role of cognitive load in SRL. This study examined students' cognitive load in micro-level SRL…
Descriptors: Cognitive Processes, Difficulty Level, Learning Strategies, Self Efficacy
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Nadja M. Gentner; Lisa Respondek; Tina Seufert – Instructional Science: An International Journal of the Learning Sciences, 2024
In learning journals, prompts were shown to increase self-regulated learning processes effectively. As studies on effects of long-term prompting are sparse, this study investigates the effects of prompting cognitive and metacognitive self-regulation strategies short-term and long-term in learning journals on learners' strategy use, self-efficacy,…
Descriptors: Prompting, Student Journals, Self Efficacy, Outcomes of Education
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Henna Vilppu; Eero Laakkonen; Anu Laine; Marko Lähteenmäki; Riitta-Leena Metsäpelto; Mirjamaija Mikkilä-Erdmann; Anu Warinowski – European Journal of Psychology of Education, 2024
As teacher profession can be seen as a learning profession, it is crucial that teacher education equips future teachers with high-level skills to update and increase their proficiency and expertise throughout their career. In this aim, cognitive processing strategies and metacognitive regulation strategies as well as academic self-efficacy beliefs…
Descriptors: Learning Strategies, Self Efficacy, Academic Achievement, College Freshmen
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Cara E. Worick; Ellen L. Usher; Jennifer Osterhage; Abigail M. A. Love; Peggy S. Keller – Journal of Experimental Education, 2024
This study investigates associations between two types of control beliefs--self-efficacy for self-regulation and implicit theories of willpower--and undergraduate biology students' (N = 535) behavioral self-regulation and performance. Findings suggest that self-efficacy is the more proximally related motive for students to engage in academic…
Descriptors: Self Efficacy, Metacognition, Learning Strategies, Grades (Scholastic)
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Katrina E. Forbes-McKay; Pauline A. M. Bremner; Pamela Johnston; Carol Air – Journal of Applied Research in Higher Education, 2025
Purpose: This study addresses gaps in the existing literature on students' understanding of Independent Learning (IL), whilst exploring the link between levels of IL, growth mindset, motivated strategies for learning and academic performance. Design/methodology/approach: Three hundred and eighty-six university students recruited via opportunistic…
Descriptors: Independent Study, Student Attitudes, Student Motivation, Learning Strategies
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Wendy L. Baumgartner; Erica D. Spangenberg; Geoffrey V. Lautenbach – Pythagoras, 2024
Foundation programmes provide an alternate access route for prospective students whose prior academic results exclude direct entry to undergraduate studies. Bridging courses within foundation programmes address gaps in prior knowledge while developing content knowledge and requisite skills to equip students for the rigour of undergraduate degree…
Descriptors: Student Motivation, Learning Strategies, Foundation Programs, College Attendance
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He, Jingwen; Liu, Yue; Ran, Tong; Zhang, Danhui – European Journal of Psychology of Education, 2023
Feedback plays an important role in self-regulated learning. However, little is known about how students' feedback perception affects their self-regulation process in learning. This study adopted the social cognitive perspective to investigate how students' feedback perception is related to their self-regulated learning, along with the mediating…
Descriptors: Student Attitudes, Feedback (Response), Independent Study, Self Efficacy
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Jiuliang Li – Language Education & Assessment, 2024
This study attempted to examine the patterns of motivational factors and their interplay involved in EFL learning through the lens of self-regulated learning. 285 grade-one senior high students from three Chinese middle schools completed a questionnaire which was designed to assess motivation (mastery goal, task value, and self-efficacy) and…
Descriptors: Goal Orientation, Self Efficacy, Self Management, English (Second Language)
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Li Ye; Ruoyan Wang; Yongxin Hang – Journal of Educational Computing Research, 2024
The pedagogical value and global relevance of heritage education regarding the safeguarding of global tradition and practice for future generations is indisputable. This research aims to investigate the efficacy of integrating a puzzle-based game, with scaffolding strategies, to enhance students' understanding and appreciation of cultural heritage…
Descriptors: College Students, Game Based Learning, Scaffolding (Teaching Technique), Heritage Education
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Wang, Jingying; Jou, Min – Interactive Learning Environments, 2023
As mobile learning (ML) becomes more and more popular, teaching methods are gradually adapting to flipped classrooms or micro-flipped classrooms. Many studies have discussed the influence of ML-based flipped classrooms on students' learning in a macroscopic way. However, at the micro-level, the impact of these classrooms on students' emotional…
Descriptors: Telecommunications, Handheld Devices, Emotional Development, Cognitive Processes
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Mahatanankoon, Pruthikrai; Wolf, James – Information Systems Education Journal, 2021
Learning a computer programming language is typically one of the basic requirements of being an information technology (IT) major. While other studies previously investigate computer programming self-efficacy and grit, their relationships between "shallow" and "deep" learning (Miller et al., 1996) have not been thoroughly…
Descriptors: Cognitive Processes, Learning Strategies, Introductory Courses, Computer Science Education
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Ekatushabe, Margaret; Nsanganwimana, Florien; Muwonge, Charles M.; Ssenyonga, Joseph – African Journal of Research in Mathematics, Science and Technology Education, 2021
According to the control-value theory of achievement emotions, the influence of cognitive activation teaching strategies on students' effective use of Cognitive and Meta-Cognitive (CMC) learning strategies is mediated by control appraisals (e.g. self-efficacy) and achievement emotions (i.e. enjoyment and boredom). However, there is limited and…
Descriptors: Self Efficacy, Academic Achievement, Psychological Patterns, Learning Strategies
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Wu, Wei-Long; Hsu, Yen; Yang, Qi-Fan; Chen, Jiang-Jie; Jong, Morris Siu-Yung – Interactive Learning Environments, 2023
In recent years, several researchers have introduced spherical video-based virtual reality (SVVR) into classroom teaching to help students learn different subjects. In SVVR learning, learners are typically presented with great autonomy over their learning process. Therefore, learners should engage in self-regulated strategy (SRS) learning in order…
Descriptors: Learning Strategies, Video Technology, Computer Simulation, Academic Achievement
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Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning
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