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Showing 1 to 15 of 65 results Save | Export
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Joshi, Noopur; Lau, Siu-Kit – Interactive Learning Environments, 2023
Extensive research on process-oriented guided inquiry learning (POGIL) has addressed its impact on student performance but little attention has been devoted to approaches to learning and performance on delayed tests. The use of POGIL in online education must also be explored. This research concerns changes in students' approaches to learning and…
Descriptors: Inquiry, Learning Processes, Academic Achievement, Cooperative Learning
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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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Gerti Pishtari; María Jesús Rodríguez-Triana; Luis P. Prieto; Adolfo Ruiz-Calleja; Terje Väljataga – Journal of Computer Assisted Learning, 2024
Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable…
Descriptors: Electronic Learning, Instructional Design, Active Learning, Inquiry
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Selina Ochukut; Robert Oboko; Evans Miriti; Christopher Chepken; Andrew Kahonge; Elizaphan Maina – International Journal of Education and Development using Information and Communication Technology, 2025
E-learning is an emerging trend in most universities. Due to COVID-19, many universities adopted e-learning. With the sudden adoption and implementation of e-learning, learners had to undergo learning on how to learn and take examinations electronically, which could have increased cognitive load in their learning experience. Without regular, face…
Descriptors: Electronic Learning, Cognitive Ability, Learning Motivation, Learning Experience
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Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
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Guo, Liming; Du, Junlei; Zheng, Qinhua – Journal of Computer Assisted Learning, 2023
Background: There is a strong association between interactions and cognitive engagement, which is crucial for constructing new cognition and knowledge. Although interactions and cognitive engagement have attracted extensive attention in online learning environments, few studies have revealed the evolution of cognitive engagement with interaction…
Descriptors: Cognitive Ability, Learner Engagement, Electronic Learning, Technology Uses in Education
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Gaffar Hafiz Sagala; Faisal Rahman Dongoran; Dedy Husrizal Syah – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The COVID-19 pandemic has dramatically changed educational practices due to the intense use of information technology for teaching and learning. That phenomenon presents challenges for lecturers in higher education establishments because student engagement is threatened during online interactions. This study aims to analyze the…
Descriptors: Learner Engagement, Electronic Learning, Active Learning, Student Projects
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Junfeng Man; Rongke Zeng; Xiangyang He; Hua Jiang – Knowledge Management & E-Learning, 2024
At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…
Descriptors: Cognitive Ability, Student Evaluation, Algorithms, Learning Processes
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He, Xiaoli; Li, Yanfang – Education and Information Technologies, 2023
This research aims to explore the online English learning effects among preschoolers with different cognitive characteristics influenced by different learning methods and the interaction between cognitive characteristics and learning methods. Data are collected by using two 3 × 3 between-subject experiments. Wherein, 248 participants based on…
Descriptors: Teaching Methods, Cognitive Ability, Preschool Children, Electronic Learning
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Dek Ngurah Laba Laksana; Maria Yuliana Kua; I Gde Wawan Sudatha; Dimas Qondias; Ngurah Mahendra Dinatha – Pegem Journal of Education and Instruction, 2024
The purpose of this study is to identify the difference between elementary pupils' higher order thinking skill (HOTS) in an environment learning using a variety of resources in a local culture-based learning. HOTS differences between those who use printed and electronic learning resources after controlling self-regulated learning pupil. This is an…
Descriptors: Thinking Skills, Indigenous Knowledge, Elementary School Students, Cognitive Ability
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Sarika Sharma; Jatinderkumar R. Saini – Interactive Learning Environments, 2024
During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…
Descriptors: Online Courses, Electronic Learning, Cognitive Ability, Cognitive Style
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Lee, On-Soon – Journal of Psycholinguistic Research, 2023
This study investigates whether statistical learning ability, conceptualized as a cognitive ability to learn regularities implicitly, is a good predictor for L2 learners' online language processing performance. Native-English-speaking adults, as a control group, and native-Korean-speaking adult L2 learners of English participated. They completed:…
Descriptors: Statistics, Second Language Learning, English (Second Language), Sentences
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Qi Liu; Xiaoxia Tian; Younghwan Bang; Kyung Hee Park – Journal of Baltic Science Education, 2023
The social responsibility of college students in the later stages of adolescence for sustainable development is emphasized, and the role of universities has become a crucial task. This study aimed to explore the level of college students' cognition, attitude, and behavior towards sustainable development and the association among them through the…
Descriptors: Informal Education, Electronic Learning, Sustainable Development, College Students
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Beena Joseph; Sajimon Abraham – Knowledge Management & E-Learning, 2023
Currently, the majority of e-learning lessons created and disseminated advocate a "one-size-fits-all" teaching philosophy. The e-learning environment, however, includes slow learners in a noticeable way, just like in traditional classroom settings. Learning analytics of educational data from a learning management system (LMS) have been…
Descriptors: Electronic Learning, Learning Management Systems, Slow Learners, Educational Environment
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Zhong, Lin – Journal of Educational Computing Research, 2023
Engagement in educational games was conceptualized as four dimensions but few studies have examined the four dimensions together. Additionally, game features vary greatly in different game genres that demand different engagement dimensions. However, engaging game features were studied in general and did not inquire specific game genres in extant…
Descriptors: Learner Engagement, Educational Games, Computer Games, Cognitive Ability
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