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Fu, Eugene Yujun; Ngai, Grace; Leong, Hong Va; Chan, Stephen C. F.; Shek, Daniel T. L. – Education and Information Technologies, 2023
As a high-impact educational practice, service-learning has demonstrated success in positively influencing students' overall development, and much work has been done on investigating student learning outcomes from service-learning. A particular direction is to model students' learning outcomes in the context of their learning experience, i.e., the…
Descriptors: Service Learning, Prediction, Outcomes of Education, Artificial Intelligence
Adamantia Spatioti; Ioannis Kazanidis; Jenny Pange – Turkish Online Journal of Distance Education, 2023
Educational Design and Evaluation Models are important factors in e-learning as they provide guidance information for proper strategy organization pursuing both specific learning outcomes and ensuring the main elements of e-learning, such as self-regulation and collaborative learning. The examined educational models of ADDIE, Bloom, and…
Descriptors: Instructional Design, Evaluation, Models, Electronic Learning
Ima, Wa; Pattiasina, Johan; Sopacua, Jems – Journal of Education and Learning (EduLearn), 2023
Value clarification technique (VCT) and teaching and contextual learning (CTL) are learning models that are rarely compared in history learning. Hence, the purpose of this study was to find: (1) The differences in student learning outcomes using the VCT model and the CTL learning model; (2) Differences in student learning outcomes between the use…
Descriptors: History Instruction, Learning Processes, Learning Motivation, Outcomes of Education
Andreja Istenic – Discover Education, 2024
Blended learning sets solid foundations for the utilization of educational technology in authentic student learning experiences within traditional educational contexts as well as in distance education. The author introduces an integrated and distributed model of blended learning, utilizing educational technology for authentic student learning…
Descriptors: Blended Learning, Teaching Methods, Higher Education, Models
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
Cara E. Schwarz – ProQuest LLC, 2024
My thesis work is focused on conceptual and epistemic learning and characterizing the environments in which this learning takes place. Earlier studies conducted by the Stowe group explored how instructional practices, instructional emphasis, and assessment emphasis relate to student outcomes in general and organic chemistry courses. Student…
Descriptors: Chemistry, Science Instruction, Organic Chemistry, Epistemology
Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
Usman, M.; Degeng, I. Nyoman S.; Utaya, Sugeng; Kuswandi, Dedi – Pegem Journal of Education and Instruction, 2022
This study aims to determine the effect of the jigsaw type collaborative learning model vs discovery learning model and learning discipline on learning outcomes, Message Design courses for students. This study used a quasi-experimental research design with a 2 x 2 factorial design. The data in testing this hypothesis used Descriptive Statistical…
Descriptors: Outcomes of Education, Cooperative Learning, Teaching Methods, Discovery Learning
Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
Chukwudum Collins Umoke; Musa Adekunle Ayanwale; Sunday Odo Nwangbo; Ngele Cletus Ezeoke; Sunday Okechukwu Abonyi; Stella Oluwakemi Olatunbosun – Discover Education, 2025
Innovative instructional strategies are critical for fostering engagement and inclusivity in education, especially in technology-driven fields such as computer studies. Despite their potential, the broader impacts of modeling instructional approaches on student interest remain underexplored, particularly in secondary education. This study…
Descriptors: Educational Strategies, Teaching Methods, Models, Junior High School Students
Inma Álvarez; Mara Fuertes Gutiérrez; Matilde Gallardo Barbarroja – Innovation in Language Learning and Teaching, 2024
This paper aims at understanding the extent to which languages are taught collaboratively in higher education (HE), which team teaching (TT) models have been implemented, and what lessons were learnt from the experiences. Following the Arksey and O'Malley framework [2005. "Scoping Studies: Towards a Methodological Framework."…
Descriptors: Team Teaching, Second Language Learning, Second Language Instruction, Faculty Development
Kim, Peter – ProQuest LLC, 2022
While language aptitude and motivation are considered to be important contributors to second language (L2) attainment, two major gaps in the past research have been (1) a lack of nonlinear models stemming from a naive and tacit assumption that learning outcomes are linearly related to their predictors, and (2) a lack of unified and integrative…
Descriptors: Second Language Learning, Second Language Instruction, Language Aptitude, Learning Motivation
C. M. Dubay; Melanie B. Richards – Marketing Education Review, 2024
Artificial intelligence (AI) has revolutionized various aspects of teaching and learning in higher education, with the potential to significantly enhance learning experiences, streamline administrative tasks, and foster personalized education. As the use of AI by students and instructors expands, it is crucial to carefully consider both its…
Descriptors: Artificial Intelligence, Student Projects, Active Learning, Technology Uses in Education
Tran, Tuan M.; Hasegawa, Shinobu – International Association for Development of the Information Society, 2022
A learner model reflects learning patterns and characteristics of a learner. A learner model with learning history and its effectiveness plays a significant role in supporting a learner's understanding of their strengths and weaknesses of their way of learning in order to make proper adjustments for improvement. Nowadays, learners have been…
Descriptors: Markov Processes, Learning Processes, Models, Scores
Tobias Alexander Bang Tretow-Fish; Md. Saifuddin Khalid – Electronic Journal of e-Learning, 2023
This research paper highlights and addresses the lack of a systematic review of the methods used to evaluate Learning Analytics (LA) and Learning Analytics Dashboards (LAD) of Adaptive Learning Platforms (ALPs) in the current literature. Addressing this gap, the authors built upon the work of Tretow-Fish and Khalid (2022) and analyzed 32 papers,…
Descriptors: Learning Analytics, Evaluation Methods, Usability, Design