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Brown, J. Allen – Journal of Education for Business, 2023
This study explores the creation of an experiential learning exercise (ELE) to simulate a generic operations management scenario. Through the case study, students are provided the opportunity to gain tacit understanding of learning curves by doing tasks and observing tasks. The students' tacit understanding is captured through learning rates. The…
Descriptors: Experiential Learning, Business Administration Education, Business Administration, Learning Activities
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Hallinger, Philip – Review of Educational Research, 2023
The goals of this bibliometric review of the Review of Educational Research were to gain insights into the evolution of the journal and identify its key contributions to the education literature. Bibliographic data associated with the full set of 3,022 review articles published in RER from 1931 through 2021 were exported from Scopus for…
Descriptors: Periodicals, Educational Research, Bibliometrics, Instruction
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Geng, Xuewang; Yamada, Masanori – Journal of Computer Assisted Learning, 2023
Background: Augmented reality has been widely applied in various fields, and its benefits in language learning have been increasingly recognized. However, the investigation of effective learning behaviours and processes in augmented reality learning environments, taking into account temporality and analysis of differences in learning behaviours…
Descriptors: Learning Analytics, Second Language Learning, Second Language Instruction, Learning Processes
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Chen, Shing-lung; Liu, Yeu-Ting – Interactive Learning Environments, 2023
In the language learning literature, games often deal with foreign language vocabulary, but rarely with learning sentences, and barely with conversations. This study set out to examine the effects of game-based learning on foreign language learners' learning of sentences and discourse-level forms in the following settings: "learning with game…
Descriptors: Second Language Learning, Game Based Learning, Educational Games, Learning Motivation
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Dirk Tempelaar; Bart Rienties; Bas Giesbers; Quan Nguyen – Journal of Learning Analytics, 2023
Learning analytics needs to pay more attention to the temporal aspect of learning processes, especially in self-regulated learning (SRL) research. In doing so, learning analytics models should incorporate both the duration and frequency of learning activities, the passage of time, and the temporal order of learning activities. However, where this…
Descriptors: Time Factors (Learning), Learning Analytics, Models, Statistical Analysis
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Daner Sun; Chee-Kit Looi; Yuqin Yang; Fenglin Jia – British Journal of Educational Technology, 2025
Universities, significantly impacted by the shift to online learning during pandemic, must critically evaluate their teaching methods and outcomes to enhance performance in the post-pandemic era. However, there has been a limited examination of whether students achieved comparable levels in cognition and social interaction during the pandemic…
Descriptors: Academic Achievement, Computer Assisted Instruction, Cooperative Learning, Pandemics
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Sakirulai Olufemi Isiaq; Louise Usher – Journal of Learning Development in Higher Education, 2025
This study explores postgraduate students' perceptions of the effectiveness of collaborative learning within computer-based environments. The research investigates the distinctions between collaborative learning and group work, examining how students' attitudes and behaviours differ, and the subsequent impact on learning outcomes. Findings reveal…
Descriptors: Graduate Students, Masters Programs, Cooperative Learning, Computer Assisted Instruction
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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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Shonn Cheng; Hsuan-Pu Chang; Sheng-Shiang Tseng – European Journal of Psychology of Education, 2024
The goal of the present study was to explore the relations among perceived psychosocial learning environments, instructional modality, motivation, self-regulated learning, and academic achievement in blended computer science education. The participants were 207 undergraduate students enrolled in a blended online and face-to-face design course. We…
Descriptors: Undergraduate Students, Computer Science Education, Blended Learning, Student Motivation
Mikah D. Sellers – ProQuest LLC, 2024
This mixed-methods research study examined the perceived efficacy of multiweek, immersive, experiential, in-person executive education for developing EI in senior executives for improved leadership effectiveness. Extensive research supports the ability of adults to develop EI competencies through workplace training, executive coaching, and MBA…
Descriptors: Management Development, Leadership Training, Leadership Effectiveness, Emotional Intelligence
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Zixi Li; Chaoran Wang; Curtis J. Bonk – Online Learning, 2024
As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Independent Study, Electronic 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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Ali Orhan – Journal of Computer Assisted Learning, 2024
Background: Although problem based learning has a great potential to promote learning outcomes as well as cognitive abilities, the number of previous studies investigating this potential on critical thinking, reading comprehension abilities and attitudes in English as a Foreign Language (EFL) context is scarce. Also, the number of studies…
Descriptors: Problem Based Learning, In Person Learning, Electronic Learning, Outcomes of Education
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Lee Fergusson – Research in Post-Compulsory Education, 2024
In work-based learning (WBL), autodidactic, informal, nonformal, and formal approaches to learning are viewed not as dichotomous, distinct, or divergent spheres along a continuum but as intersected and clustered spheres. In WBL, prior learning, professional development, advanced standing, and other forms of learning are therefore formally…
Descriptors: Foreign Countries, Work Experience Programs, Graduate Students, Education Work Relationship
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Chia-Yu Hsu; Izumi Horikoshi; Rwitajit Majumdar; Hiroaki Ogata – Educational Technology & Society, 2024
This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…
Descriptors: Habit Formation, Behavior Change, Learning Analytics, Data Interpretation
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