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José Antonio Cecchini; Alejandro Carriedo; Antonio Méndez-Giménez; Javier Fernández-Río – European Journal of Teacher Education, 2024
This article focused on the distance-learning context created by the COVID-19. The objectives were to assess the differences between highly-structured cooperative learning (HSCL) and individual learning (IL) in university students' content knowledge, and to assess the impact of the teacher's highly-structured instruction on the variables that…
Descriptors: Cooperative Learning, COVID-19, Pandemics, Distance Education
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Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
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Neni Hermita; Erlisnawati; Jesi Alexander Alim; Zetra Hainul Putra; Ira Mahartika; Urip Sulistiyo – Quality Assurance in Education: An International Perspective, 2024
Purpose: This study aims to investigate the effectiveness of hybrid learning, blended learning and face-to-face learning in remediating misconceptions among primary school teacher education students. Design/methodology/approach: This research uses a quasi-experimental design, using a quantitative approach. Data were collected from 99 students…
Descriptors: Blended Learning, In Person Learning, Misconceptions, Elementary School Teachers
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Lin Zhong – Interactive Learning Environments, 2023
While most educators regard personalized learning as beneficial for higher education and continuous research has demonstrated the effectiveness of personalized learning, a comprehensive understanding of how personalized learning has been designed and implemented in higher education is scarce. The purpose of this review study is to examine the…
Descriptors: Individualized Instruction, Higher Education, Instructional Design, Instructional Materials
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Gunilla Karlberg-Granlund; Annika Pastuhov – Professional Development in Education, 2024
In this study, we are exploring the development of professional learning of nearly qualified teachers, here referred to as prospective teachers, during their subject teacher education at a Finnish university. From a teacher educator stance, we aim to understand how teacher education practices can support prospective teachers' professional…
Descriptors: Foreign Countries, Preservice Teachers, Professional Development, Preservice Teacher Education
Nazempour, Rezvan – ProQuest LLC, 2023
Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…
Descriptors: Artificial Intelligence, Outcomes of Education, Electronic Learning, Educational Environment
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Min Young Doo; Jungwon Kim – Distance Education, 2024
This study comprised a meta-analysis of the relationship between learning engagement and learning outcomes in online learning in higher education. The effect sizes of 175 samples were extracted from 34 eligible studies published from January 2010 to March 2022. First, the relationship between learning engagement and learning outcomes was g =0.430,…
Descriptors: Learner Engagement, Outcomes of Education, Electronic Learning, Distance Education
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Wong, Billy Tak-ming; Li, Kam Cheong; Cheung, Simon K. S. – Journal of Computing in Higher Education, 2023
This paper presents an analysis of learning analytics practices which aimed to achieve personalised learning. It addresses the need for a systematic analysis of the increasing amount of practices of learning analytics which are targeted at personalised learning. The paper summarises and highlights the characteristics and trends in relevant…
Descriptors: Learning Analytics, Individualized Instruction, Context Effect, Stakeholders
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Mohammed Saqr; Wannisa Matcha; Nora'ayu Ahmad Uzir; Jelena Jovanovic; Dragan Gaševic; Sonsoles López-Pernas – Australasian Journal of Educational Technology, 2023
Learning strategies are important catalysts of students' learning. Research has shown that students with effective learning strategies are more likely to have better academic achievement. This study aimed to investigate students' adoption of learning strategies in different course implementations, the transfer of learning strategies between…
Descriptors: Problem Based Learning, Learning Strategies, Electronic Learning, Medical Students
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Faiza Gani; Geesje Van Den Berg – Open Praxis, 2024
Distance education institutions worldwide are adopting online learning to take advantage of its benefits. However, online learning is often seen as a mode of delivery that will work for any distance education institution in any context. The increased relevance of online learning during and after the COVID-19 pandemic has further exaggerated the…
Descriptors: Distance Education, Open Education, Electronic Learning, COVID-19
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Svetlana Zubanova; Elvira Didenko; Irina Karabulatova – Interactive Learning Environments, 2023
The central aim of this study was to determine the potential of the GPS-based MCL system for English learning in terms of its relationship with learning achievements. For this, the research enrolled 51 students of Moscow Aviation Institute, National Research University (Moscow, Russian Federation) aged 20 to 22, 35% were males, and 65% were…
Descriptors: Geographic Location, Electronic Learning, Handheld Devices, English (Second Language)
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Ana L. S. Lopes; Marili M. S. Vieira – European Journal of Education (EJED), 2023
Contemporary educational practices impose challenges and necessary changes in teaching and learning processes in which cyberspace and virtual contexts become places of learning. Affection, emotion, perception, and imagination compose the construction of meaningful adult knowledge. Such theoretical assumptions become fundamental for teaching and…
Descriptors: Distance Education, Online Courses, Educational Environment, Affective Behavior
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Zheng, Lanqin; Kinshuk; Fan, Yunchao; Long, Miaolang – Education and Information Technologies, 2023
Online collaborative learning has been an effective pedagogy in the field of education. However, productive collaborative learning cannot occur spontaneously. Learners often have difficulties in collaborative knowledge building, group performance, coregulated behaviors, learning engagement, and social interaction. To promote productive…
Descriptors: Learning Analytics, Performance, Electronic Learning, Cooperative Learning
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Li, Chengcheng; Garza, Tiberio; Zhang, Shaoan; Jiang, Yingtao – Learning Environments Research, 2023
Undergraduates' first-year experience in engineering education impacts their retention and persistence. Strategic learning strategies (i.e. skill, will, and self-regulation) are important for students' academic achievement and retention. We examined to what extent (1) students' skill mediated the relationship between self-regulation and will and…
Descriptors: Constructivism (Learning), Engineering Education, Academic Achievement, Learning Strategies
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Sönmez, Selami; Korucuk, Murat – Shanlax International Journal of Education, 2023
In this study, students' e-learning styles (ELS) and attitudes towards online learning were examined. Besides, it was also aimed to reveal the relationship between students' ELS and their attitudes towards online learning. Another of the main aims of the study is; the aim of this study is to explain the effect of university students' e-learning…
Descriptors: Educational Technology, Electronic Learning, Student Attitudes, Cognitive Style
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