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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
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
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
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
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
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
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
Shelly Freyn; Mina Sedaghatjou; Jean Ellefson; Theresa Gunn – Journal of Education for Business, 2024
In this study, the CEEBL teaching framework is further explored across three academic levels of online business courses. These classes emphasize collaborative teamwork using hands-on activities with projects aimed at tackling real world challenges. Students form affinity groups to co-create solutions for the projects. The study covers the building…
Descriptors: Business Education, Electronic Learning, Cooperative Learning, Learner Engagement
Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
Michelle Jensen; Charles R. Graham; Cecil R. Short – Journal of Online Learning Research, 2024
Implementation of blended teaching (BT) practices is in- creasing rapidly in K-12 classrooms. This trend creates an urgent need for professional development to support BT. An understanding of how experienced teachers implement BT can inform teacher educators and professional development leaders as they develop training to support this practice. We…
Descriptors: Secondary Education, Blended Learning, Learning Activities, In Person Learning
Alaa Alnajashi – Journal of Education and Learning, 2024
The current demand for integrating technology into English language instruction to engage students in meaningful conversations is pressing in the digital era. Despite this, research on employing Google tools for collaborative, task-based activities in English education is scarce, particularly in meeting the needs of today's digital learners and…
Descriptors: Foreign Countries, College Students, English Instruction, Student Motivation
Fan Xu; Ana-Paula Correia – Journal of Computing in Higher Education, 2024
As online learning has become an inevitable trend in the post-peak era of the COVID-19 pandemic, distributed pair programming (DPP) is gaining momentum in both education and industry. DDP serves as a collaborative programming approach and also benefits the development of computational thinking, a fundamental skill in today's world. This study…
Descriptors: Programming, Computer Science Education, Cooperative Learning, Learning Activities
Alice Barana; Antonino Cambria; Marina Marchisio Conte; Enrico Spinello – International Association for Development of the Information Society, 2024
As innovative activities and methodologies bloom in the panorama of education, three areas of particular interest in the security and defence education field are collaborative learning, blended learning, and internationalisation. These elements are the pillars of Blended Intensive Programmes (BIPs), short mobility activities that combine…
Descriptors: Blended Learning, Cooperative Learning, Global Approach, Learning Activities
Casey L. Roark; Vishal Thakkar; Bharath Chandrasekaran; Tracy M. Centanni – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Developmental dyslexia is proposed to involve selective procedural memory deficits with intact declarative memory. Recent research in the domain of category learning has demonstrated that adults with dyslexia have selective deficits in Information-Integration (II) category learning that is proposed to rely on procedural learning…
Descriptors: Dyslexia, Children, Nonverbal Communication, Learning Disabilities