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Ghadah Al Murshidi; Kseniia Adamovich; Jamie Costley; Ekaterina Andronova; Hamda Alblooshi; Ruwaya Alderei; Anna Gorbunova – International Journal of Distance Education Technologies, 2025
The aim of the present paper is to explore students' perceptions of MOOCs in relation to their learning strategies. Drawing upon cognitive appraisal theory and learning strategies framework, the study examines the perception of MOOCs as threats or challenges and assesses students' learning approaches through the prism of deep and surface learning…
Descriptors: MOOCs, Learning Strategies, Student Attitudes, Cognitive Style
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Diksha Kharbanda; Ritesh Khunyakari – Early Childhood Education Journal, 2025
Recent literature emphasises the role of exploration, designerly play, creative thinking, and handling of materials in the beginning years of learning. This paper reports findings from a study involving 24 children (aged 4 to 10 years), where the researchers engaged with four-story contexts (tasks) that had embedded problem scenarios. In response…
Descriptors: Thinking Skills, Design, Children, Play
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Casey L. Roark; Vishal Thakkar; Bharath Chandrasekaran; Tracy M. Centanni – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Developmental dyslexia is proposed to involve selective procedural memory deficits with intact declarative memory. Recent research in the domain of category learning has demonstrated that adults with dyslexia have selective deficits in Information-Integration (II) category learning that is proposed to rely on procedural learning…
Descriptors: Dyslexia, Children, Nonverbal Communication, Learning Disabilities
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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
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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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Lanqin Zheng; Yunchao Fan; Zichen Huang; Lei Gao – Journal of Computer Assisted Learning, 2024
Background: Online collaborative learning has been widely adopted in the field of education. However, learners often find it difficult to engage in collaboratively building knowledge and jointly regulating online collaborative learning. Objectives: The study compared the impacts of the three learning approaches on collaborative knowledge building,…
Descriptors: Cooperative Learning, Electronic Learning, College Students, Learning Strategies
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Seda Özer Sanal; Fulya Torun – Journal of Visual Literacy, 2024
This study examined the individual and collaborative infographic development processes of middle school students in a qualitative research context. In the first phase, individual and collaborative infographics were developed, a simultaneous think-aloud protocol and interviews were conducted. In the second phase, focus group interviews were…
Descriptors: Visual Aids, Cognitive Processes, Cooperative Learning, Student Attitudes
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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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Kuhlmann, Shelbi L.; Bernacki, Matthew L.; Greene, Jeffrey A. – New Directions for Teaching and Learning, 2023
The affordances of computer-based learning environments make them powerful tools for conveying information in higher education. However, to most effectively use these environments, students must be adept at self-regulating their learning. This self-regulation is effortful, including a myriad of processes, including defining tasks, making plans,…
Descriptors: Multimedia Instruction, Learning Theories, Learning Strategies, Electronic Learning
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Kuan-Fu Chen; Gwo-Jen Hwang; Mei-Rong Alice Chen – Educational Technology Research and Development, 2024
Many studies have incorporated concept maps into digital games to enable learners to make connections between subject concepts in the game. However, most learners do not associate spontaneously with the thematic concepts in the game but need to be facilitated by effective scaffolding mechanisms to reconceptualize the learning process and content.…
Descriptors: Concept Mapping, Game Based Learning, Learning Strategies, Grade 7
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Russell Crank; Jenny Spence – Journal of Adult and Continuing Education, 2024
Student awareness and selection of learning strategies are predictors of academic success. Yet, little is known about learning strategies of students in university preparation science courses, who are frequently mature-aged or underrepresented students. This lack of knowledge potentially hinders tailoring reflective learning experiences, specific…
Descriptors: Electronic Learning, Science Instruction, Learning Strategies, Nontraditional Students
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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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Dinsmore, Daniel L.; Fryer, Luke K.; Dumas, Denis G. – Educational Psychology Review, 2023
The literature on cognitive processing and strategic processing is murky with regard to how these types of processing influence learning. One reason for this is that the frameworks used to investigate these relations have separately focused on different aspects related to cognitive processing with little integration between them. To address these…
Descriptors: Cognitive Processes, Models, Barriers, Learning
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Carvalho, Paulo F.; McLaughlin, Elizabeth A.; Koedinger, Kenneth R. – Journal of Educational Psychology, 2022
In this article, we leverage data from over 1,000 students participating in two different online courses to investigate whether better learning outcomes are associated with student decisions to practice instead of (re-)reading. Consistent with laboratory and classroom findings, we find that students' decisions to practice are related to better…
Descriptors: Independent Study, Electronic Learning, Online Courses, Outcomes of Education
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Li Chen; Xuewang Geng; Min Lu; Atsushi Shimada; Masanori Yamada – SAGE Open, 2023
Developed to maximize learning performance, learning analytics dashboards (LAD) are becoming increasingly commonplace in education. An LAD's effectiveness depends on how it is used and varies according to users' academic levels. In this study, two LADs and a learning support system were used in a higher education course to support students'…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Processes, Learning Strategies
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