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Komang Setemen; I. Gede Sudirtha; I. Wayan Widiana – Journal of Technology and Science Education, 2023
The results of online learning were not optimal, as evidenced by the unsatisfactory learning outcomes. These issues influenced students who had a poor understanding of concepts and those who were quick to learn. It was the reason for the study that aims to analyze the effectiveness of study, explore, implement, evaluate (SEIE) model e-learning…
Descriptors: Electronic Learning, Models, Problem Based Learning, Active Learning
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Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
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Fadli, Failasuf; Budiningsih, Chatarina Asri; Wahyono, Sugeng Bayu; Sukirno; Parthasarathy, Karthikeyan; Johari, Razana Juhaida – International Journal of Evaluation and Research in Education, 2022
This article aims to build paradigms, strategies, and stages of learning models that can reduce learning barriers. The learning process can benefit changes in cognitive, affective, and psychomotor aspects for the better. This research was conducted because it saw the reality of the problem of low learning achievement. This was qualitative study…
Descriptors: Independent Study, Learning Processes, Learning Strategies, Barriers
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Park, Yun Claire – Journal of Educational Technology Systems, 2022
The discrepancy between students' understanding of domain knowledge and their actual competencies to use tacit knowledge for a given task has been an issue to consider when instruction is designed, implemented, and revised. In this study, the researcher examines teaching and learning processes in which a Problem-Based Learning (PBL) design model…
Descriptors: Learning Experience, Problem Based Learning, Teaching Methods, Instructional Design
Safaa Youssef El-Mansy – ProQuest LLC, 2023
As educators, our goal is to help our students be successful, but in order to accomplish this, we need to understand what factors contribute to student success. One factor, small-group active learning, has been correlated to improved academic outcomes; however, the magnitude of this improvement can vary across different courses, different types of…
Descriptors: Chemistry, Science Instruction, Worksheets, Discourse Analysis
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Lozano, José H.; Revuelta, Javier – Educational and Psychological Measurement, 2023
The present paper introduces a general multidimensional model to measure individual differences in learning within a single administration of a test. Learning is assumed to result from practicing the operations involved in solving the items. The model accounts for the possibility that the ability to learn may manifest differently for correct and…
Descriptors: Bayesian Statistics, Learning Processes, Test Items, Item Analysis
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Supena, Ilyas; Darmuki, Agus; Hariyadi, Ahmad – International Journal of Instruction, 2021
This study aimed to investigate: 1) the influence of 4C learning model on students' learning outcomes in the philosophy of science course, 2) the influence of academic capability on students' learning outcomes in the philosophy of science course, and 3) the interaction between 4C learning model and academic capability on the students' learning…
Descriptors: Learning Processes, Models, Philosophy, Science Education
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Xueqiao Zhang; Chao Zhang; Jianwen Sun; Jun Xiao; Yi Yang; Yawei Luo – IEEE Transactions on Learning Technologies, 2025
Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Cognitive Ability
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Zhao, Fengping – Science Insights Education Frontiers, 2022
In the context of China's social transformation and educational reform, addressing the problems of fragmented and ineffective learning in traditional teaching modes and enhancing students' academic levels and developing their comprehensive abilities through structured classroom learning have become critical issues in educational reform. The…
Descriptors: Holistic Approach, Teaching Methods, Cognitive Ability, Foreign Countries
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Kim, Seong-un – Journal of Baltic Science Education, 2022
This study studied the types of peer scaffolding presented in scientific experimental activities. The study included 14 university students. For the experimental activity of 'determining temperature changes using the meridian altitude of the sun,' information regarding experimental behaviors, thinking aloud, discourse, and retrospective interview…
Descriptors: Scaffolding (Teaching Technique), Teaching Methods, Science Instruction, Peer Teaching
Ryo Maie – ProQuest LLC, 2022
Skill acquisition theorists conceptualize second language (L2) learning as the acquisition of a set of perceptual, cognitive, and motor skills. The dominant view in skill acquisition theory is to regard L2 skill acquisition as a three-stage process "from initial representation of knowledge through initial changes in behavior to eventual…
Descriptors: Second Language Learning, Second Language Instruction, Linguistic Theory, Learning Processes
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Yanagisawa, Akifumi; Webb, Stuart – Studies in Second Language Acquisition, 2022
The present meta-analysis aimed to improve on Involvement Load Hypothesis (ILH) by incorporating it into a broader framework that predicts incidental vocabulary learning. Studies testing the ILH were systematically collected and 42 studies meeting our inclusion criteria were analyzed. The model-selection approach was used to determine the optimal…
Descriptors: Cognitive Ability, Vocabulary Development, Meta Analysis, Linguistic Theory
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D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
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Bingxue Zhang; Yang Shi; Yuxing Li; Chengliang Chai; Longfeng Hou – Interactive Learning Environments, 2023
The adaptive learning environment provides learning support that suits individual characteristics of students, and the student model of the adaptive learning environment is the key element to promote individualized learning. This paper provides a systematic overview of the existing student models, consequently showing that the Elo rating system…
Descriptors: Electronic Learning, Models, Students, Individualized Instruction
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Hansol Lee; Jang Ho Lee – Review of Educational Research, 2024
This study used a meta-analytic structural equation modeling approach to build extended versions of the simple view of reading (SVR) model in second and foreign language (SFL) learning contexts (i.e., SVR-SFL). Based on the correlation coefficients derived from primary studies, we replicated and integrated two previous extended meta-analytic SVR…
Descriptors: Second Language Learning, Reading, Decoding (Reading), Reading Comprehension
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