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Showing 1 to 15 of 97 results Save | Export
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Pham Sy Nam; Ngoc-Giang Nguyen; Hoa Anh Tuong; Ben Haas; Zsolt Lavicza; Yves Kreis – International Journal for Technology in Mathematics Education, 2023
Problem-based learning puts students in situations that suggest problems without providing instructions and available knowledge. Therefore, when using problem-based learning, students need to be flexible, self-disciplined, active and self-occupied with knowledge and turn the knowledge the teacher intends to impart into their knowledge. For locus…
Descriptors: Computer Software, Mathematics Instruction, Teaching Methods, Problem Based Learning
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Estrella, Soledad; Méndez-Reina, Maritza; Vidal-Szabó, Pedro – Statistics Education Research Journal, 2023
Recent research suggests the benefits of supporting a progressive understanding of concepts of inference prior to the teaching of procedures and formal calculations through the study of informal statistical inference (ISI). To contribute to the growing knowledge about the early learning and teaching of statistics, particularly regarding the…
Descriptors: Grade 3, Elementary School Students, Learning Trajectories, Statistics Education
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Xueli Deng – Educational Psychology, 2024
In the context that many students have been fed up with rote learning or mechanical learning in history, this three-wave longitudinal study with one-year intervals examined the potential role of historical empathy in facilitating history learning. A sample of 821 middle school students participated (aged from 11 to 15 years, M = 13.47 years, SD =…
Descriptors: History Instruction, Empathy, Longitudinal Studies, Learner Engagement
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Yongliang Wang; Yongxiang Wang; Ziwen Pan; José Luis Ortega-Martín – Asia-Pacific Education Researcher, 2024
Various studies have been done on shifting toward technology-based second language (L2) education. However, the influence of psycho-emotional factors on students' technology acceptance is overlooked. To fill this gap, the present quantitative study examined the role of students' achievement emotions and technological self-efficacy in predicting…
Descriptors: Self Efficacy, Second Language Learning, Second Language Instruction, Student Attitudes
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David Roldan-Alvarez; Francisco J. Mesa – IEEE Transactions on Education, 2024
Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…
Descriptors: Intelligent Tutoring Systems, Grading, Artificial Intelligence, Feedback (Response)
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Yoshiyuki Nakata; Osamu Takeuchi; Maya Sugita McEown – Studies in Second Language Learning and Teaching, 2025
The key to successful language learning depends on the extent to which learners are self-regulated in learning a second or foreign language (L2). In this process, learners' perceptions and beliefs about their abilities play a crucial role in predicting or controlling positive or negative emotions, motivation and the use of strategies. Therefore,…
Descriptors: Metacognition, Second Language Learning, Second Language Instruction, Learning Strategies
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Çini, Ahsen; Malmberg, Jonna; Järvelä, Sanna – Educational Studies, 2023
Metacognition is a core process in human learning. The problem is that learners are not often aware of their metacognition. The purpose of this study is to examine learners' metacognitive awareness in terms of their situation-specific perceptions in collaborative learning tasks. Upper elementary school students (N = 92) filled in a Metacognitive…
Descriptors: Metacognition, Cooperative Learning, Measures (Individuals), Task Analysis
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Chi Duc Nguyen – Reading in a Foreign Language, 2024
Research shows that meaning-focused reading offers opportunities for incidental grammar acquisition. However, the number of such studies remains limited and none have examined the role of both in-text encounters with grammar structures and reading comprehension in this learning. The present study filled these gaps. Employing a between-group,…
Descriptors: Incidental Learning, Grammar, Reading Comprehension, English (Second Language)
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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
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Peck, Frederick A. – Journal for Research in Mathematics Education, 2020
This article presents the results of a design-based research study related to slope that took place in a high school algebra 1 classroom. In the study, students explored situations related to making predictions. As students engaged with these situations, they reinvented and made meaningful multiple subconstructs of slope. I present the findings in…
Descriptors: Teaching Methods, Mathematics Instruction, Algebra, High School Students
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Fuhai An; Jiawei Guo – Education and Information Technologies, 2024
Peer relationships play important roles in middle-school students' individual development. Peer support is indispensable in computer-supported learning contexts. This study is designed to explore the connection between perceived peer support and deeper learning, while examining the mediating role of computer self-efficacy and perceived classroom…
Descriptors: Peer Relationship, Goal Orientation, Mastery Learning, Prediction
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Han, Feifei; Ellis, Robert A. – Educational Technology & Society, 2021
One of the major objectives of precision education is to improve prediction of educational outcome. This study combined theory-driven and data-driven approaches to address the limitations of current practice of predicting learning outcomes only using a single approach. The study identified the online learning patterns by using students'…
Descriptors: Grade Prediction, Electronic Learning, Blended Learning, Academic Achievement
Mitali Thatte; Katie Makar – Mathematics Education Research Group of Australasia, 2024
This study was conducted in Maharashtra, India with children studying in a regional medium (Marathi) government school. In Marathi, the translation of the word 'about' is not very commonly used. The aim of the study was to see how the children used uncertain language about prediction while engaged in a statistical investigation and how children…
Descriptors: Mathematics Instruction, Teaching Methods, Native Language, Language of Instruction
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Armario, María; Oliva, José María; Jiménez-Tenorio, Natalia – International Journal of Science and Mathematics Education, 2022
In this study, we analyzed the descriptive knowledge and mental models of the phenomenon of tides manifested by 111 preservice primary teachers. The instrument employed is an open-ended questionnaire, analyzed by means of an approach that explores the descriptions, explanations, and predictions in respect of this phenomenon by our subjects. First,…
Descriptors: Foreign Countries, Preservice Teachers, Elementary School Teachers, Schemata (Cognition)
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Anahid S. Modrek; Tania Lombrozo – Cognitive Science, 2024
How does the act of explaining influence learning? Prior work has studied effects of explaining through a predominantly proximal lens, measuring short-term outcomes or manipulations within lab settings. Here, we ask whether the benefits of explaining extend to academic performance over time. Specifically, does the quality and frequency of student…
Descriptors: Academic Achievement, Learning Processes, Cognitive Processes, Prediction
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