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Showing 1 to 15 of 170 results Save | Export
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Xiaoyu Wang; Nurhasmiza Sazalli; Wan Nur Asyura Wan Adnan – International Journal of Adult Education and Technology, 2023
In this study, 210 articles were reviewed from two databases--Web of Science and Scopus--using the systematic literature review method, following the PRISMA (preferred reporting items for systematic reviews and meta-analyses) selection and analysis process. Through systematic literature review and statistical analysis of empirical research…
Descriptors: Blended Learning, Learning Strategies, Models, Student Attitudes
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Laura Wirth; Gilbert Greefrath – ZDM: Mathematics Education, 2024
Many instructional videos in mathematics education target knowledge of procedures and algorithms. To design instructional videos that support students in a non-algorithmic domain, such as mathematical modeling, we developed a framework based on research on heuristic worked examples and instructional videos. Because students' perceptions play an…
Descriptors: Mathematical Models, Mathematics Instruction, Secondary School Students, Video Technology
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Avivit Arvatz; Yehudit Judy Dori – International Journal of Science and Mathematics Education, 2025
We investigated the advancement of self-regulated learning (SRL) in diverse educational settings, including science, mathematics, and humanities disciplines. We identified practices for assessing students' SRL and encouraging reflection. The research questions were: (1) Can sustained changes in students' perceptions of SRL over time be assessed,…
Descriptors: Science Education, Mathematics Education, Help Seeking, Student Attitudes
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Yuan Liang; Ting Ji; Shuying Zhou; Xiaolin Liu; Hao Yan – British Educational Research Journal, 2025
Constructing personalised and effective online language learning models based on individual personality differences is crucial in the field of education. However, there is little research on how to apply these models to students in science and engineering who have varying personality profiles. This study aimed to assess the validity of the Online…
Descriptors: Personality Traits, Language Acquisition, Second Language Learning, College Students
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Sen, Emine Ozgur – Pedagogical Research, 2022
This study aims to investigate the effects of middle school students' learning approaches and their attitudes towards mathematics on their engagement in mathematics course. The research cross-sectional survey design was used in the quantitative research model. The research was conducted with the participation of 5th-8th graders who attended…
Descriptors: Middle School Students, Learner Engagement, Learning Strategies, Structural Equation Models
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Crippen, Kent J.; Imperial, Lorelie; Bolch, Charlotte A.; Payne, Corey A. – International Journal of Science and Mathematics Education, 2023
Use of modeling as a learning strategy in introductory science courses could serve to support the persistence of all students, including those who identify with a traditionally underrepresented ethnic minority (URM). If students find inherent value in working on modeling-type problems then this authentic practice would aid in transforming personal…
Descriptors: Undergraduate Students, Engineering Education, Learning Strategies, Learning Motivation
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Zheng Liu; Jiahui Wen; Yikang Liu; Chuan-Peng Hu – British Journal of Educational Psychology, 2024
Background: Self-related information is difficult to ignore and forget, which brings valuable implications for educational practice. Self-referential encoding techniques involve integrating self-referencing cues during the processing of learning material. However, the evidence base and effective implementation boundaries for these techniques in…
Descriptors: Self Concept, Meta Analysis, Student Attitudes, Models
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Gyöngyvér Molnár; Ádám Kocsis – Studies in Higher Education, 2024
How important are learning strategies or personal attributes for learning outside of domain-specific knowledge or twenty-first-century transversal skills when predicting academic success in higher education? To address this question, we conducted a longitudinal study among 1,681 students at one of the leading universities in Hungary. Students took…
Descriptors: Academic Achievement, Predictor Variables, Higher Education, Learning Strategies
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Sahin, Seyma; Ökmen, Burcu; Kiliç, Abdurrahman – Excellence in Education Journal, 2023
The purpose of this research was to evaluate the effectiveness of the brain-based learning style cycle. In the research, a pre-test and post-test quasi-experimental design without a control group was used. The research study group consisted of sophomore (2nd year) students studying at Duzce University Faculty of Education, Psychological Counseling…
Descriptors: Brain, Cognitive Style, Metacognition, Attitude Measures
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Helena C. Malinakova – Journal of Chemical Education, 2025
Organic chemistry presents a significant obstacle for students seeking entry into health-related professions. Students' ability to develop effective study approaches is an important predictor of success in the course. Herein, we report an investigation utilizing an OCH-adjusted M-ASSIST instrument to assess possible changes in students' study…
Descriptors: Longitudinal Studies, Study Habits, Organic Chemistry, Structural Equation Models
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Wang, Han; Huang, Tao; Tian, Jun; Yang, Huali; Han, Pengdong – Best Evidence in Chinese Education, 2022
In the age of Internet Plus, the deep integration of information technology into education and individualized instruction have become a growing trend in education development. Self-regulated learning is a key element of student core competence, but easy to be overlooked in basic education. The purpose of this study is to establish the data…
Descriptors: Elementary School Students, Scaffolding (Teaching Technique), Learning Strategies, Models
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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Elvira G. Rincon-Flores; Leticia Castano; Sadie Lissette Guerrero Solis; Omar Olmos Lopez; Carlos Felipe Rodríguez Hernández; Laura Angélica Castillo Lara; Laura Patricia Aldape Valdés – Smart Learning Environments, 2024
Much has been written about Adaptive Learning, but does its implementation alone guarantee success? We have found that integrating an Adaptive Learning Strategy with diverse didactic techniques gives better results. The objectives of this exploratory study were to know the impact of the Adaptive Learning Strategy on students' learning and…
Descriptors: Learning Strategies, Academic Achievement, Computation, Thinking Skills
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Wu, Shu-Jing; Han, Jiao; Sun, Fu-Rong; Wan, Rong-Gen; Zhao, Yu-Quan – Interactive Learning Environments, 2023
While flipped learning has attempted to explain the benefits of technology applied to educational settings, this study aims to validate research questions and test the theory of the learning strategies in flipped learning. A self-designed questionnaire, consisting of 17 critical indicators of online self-regulation, project-based learning and…
Descriptors: College Students, Learner Engagement, Competence, Flipped Classroom
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Ji, Ruixuan; Yue, Xiaoyao; Zheng, Xu – Higher Education Studies, 2021
Many research indicated that more and more students choose to drop out of mathematics-related subjects during university study, especially in the western context. Besides the difficulty of mathematics content, first-year university students also face issues of the transition period. Identifying the impact of first-year university students' belief…
Descriptors: Structural Equation Models, College Freshmen, College Students, Mathematics Education
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