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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
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
Undergraduate Engineering Students' Subjective Task Value Beliefs for Modeling Problems in Chemistry
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
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
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
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
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
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
Li Dong – Journal of Psycholinguistic Research, 2024
Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…
Descriptors: Resilience (Psychology), Academic Persistence, Second Language Learning, Second Language Instruction
Kember, David; Webster, Beverley J.; Chan, Wincy S. C. – Educational Psychology, 2020
The 3P (presage, process, product) model was introduced as a conceptualisation to underpin research into students' approaches to learning (SAL). This paper proposes the refocusing of the 3P model by formulating the initial presage phase as a teaching and learning environment, thus making the 3P model more consistent with SAL research which…
Descriptors: Models, Educational Environment, College Students, Foreign Countries
Sardegna, Veronica G. – Language Teaching, 2022
Research has increasingly demonstrated that pronunciation difficulties in English can seriously affect learners' intelligibility and ability to comprehend spoken English. It is thus crucial that we find ways of helping learners of English become more intelligible. In this talk, I present compelling research evidence in support of a strategy-based…
Descriptors: Pronunciation Instruction, Teaching Methods, Feedback (Response), Video Technology
Teplá, Milada; Teplý, Pavel; Šmejkal, Petr – International Journal of STEM Education, 2022
Background: Studies comparing the effect of dynamic and static visualization suggest a predominantly positive effect of dynamic visualization. However, the results of individual comparisons are highly heterogeneous. In this study, we assess whether dynamic visualization (3D models and animations) used in the experimental group has a stronger…
Descriptors: Foreign Countries, Middle School Students, High School Students, Visual Aids
Oh, Jun-Young; Maeng, Hee-Ju; -A Son, Yeon – Journal of Turkish Science Education, 2020
The main purpose of this study is to develop teaching strategies for "Model-Based Co-construction" to promote students' understanding of a scientific model of seasonal change. In particular, the research method is cognitive conflict strategies and teacher feedback in interaction with the students a reexamined in the context of…
Descriptors: Teaching Methods, Models, Preservice Teachers, Elementary School Teachers
Hang, Le Thuy; Van, Vu Hong – International Journal of Education and Practice, 2020
Building a teaching and learning strategy is an essential task for both lecturers and students. Innovation in methods and forms of teaching and learning, and in conducting examination and evaluation are in the direction of developing and promoting students' creativity. However, not all lecturers and students deeply understand and effectively use…
Descriptors: Teaching Methods, Learning Processes, Instructional Innovation, Creativity
Hemmings, Brian; Kay, Russell; Sharp, John G. – Educational and Developmental Psychologist, 2019
This study explored factors that influence academic achievement and hence, future career prospects. The relationships between the factors, academic trait boredom, approach to learning and academic achievement were examined using data collected from university students at a small English university and from their student records. The initial…
Descriptors: Academic Achievement, Correlation, Cognitive Style, College Students