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Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
Kandemir, Ismail; Cicek, Kadir – Education and Information Technologies, 2023
Due to the inherently dangerous environment in the maritime industry, it is an essential aspect for the human resources in the industry to have a high level of knowledge, skill and competence. Therefore, maritime education and training needs to be structured as a unique instructional design model that will ensure the acquisition of the required…
Descriptors: Instructional Design, Models, Marine Education, Safety Education
Toker, Sacip – Education and Information Technologies, 2022
This study investigates the association between instructional design projects and 21st-Century skills. A causal-comparative design was utilised. The participants were 85 computer education and instructional technology department students who registered for a core instructional design course. The participants are divided into two groups: Rapid…
Descriptors: 21st Century Skills, Instructional Design, Teaching Methods, Computer Science Education
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
Khalid Alalawi; Rukshan Athauda; Raymond Chiong; Ian Renner – Education and Information Technologies, 2025
Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…
Descriptors: Intervention, Learning Analytics, Guidelines, Prediction
Wanli Xing; Hai Li; Taehyun Kim; Wangda Zhu; Yukyeong Song – Education and Information Technologies, 2025
Although researchers recognize the importance of discussing support for math learning within online learning communities, there is a lack of relevant network classifying methods and analyses at the group level to understand the behavioral differences between groups with varying levels of activity, including their mathematical literacies. In this…
Descriptors: Computer Mediated Communication, Asynchronous Communication, Group Discussion, Communities of Practice
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
Ömer Demir; Bengi Birgili – Education and Information Technologies, 2024
The use of instructional videos is rampant in education; however, their interaction is limited by weak instructional design. Gagne has never insisted on using his renowned 9 Events of Instruction slavishly in situations as a viable paradigm for utilization in video design. Connecting grade level, video length, and interaction, this study seeks to…
Descriptors: Instructional Design, Instructional Program Divisions, Video Technology, Mathematics Instruction
Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
Dogan, Dilek; Tüzün, Hakan – Education and Information Technologies, 2022
In this study, the instructional design process in three-dimensional multi-user virtual environments (3D MUVEs) based on a problem-based learning approach was examined and authentic design experiences were shared. Besides, a design model was proposed to guide people who want to design these 3D MUVEs and to use these environments for educational…
Descriptors: Models, Instructional Design, Computer Simulation, Problem Based Learning
Hamza Polat; Elif Taslibeyaz – Education and Information Technologies, 2024
During the COVID-19 pandemic, there was an increase in the use of online courses, which required improvements in their effectiveness. To address this, the online flipped model was suggested as a solution, and this study aimed to assess the efficacy of using interactive instructional videos within an online flipped course design. The study employed…
Descriptors: Video Technology, Interaction, Flipped Classroom, COVID-19
Kim, Ji-Yun; Seo, Jae Seon; Kim, Kwihoon – Education and Information Technologies, 2022
Attaining equitable education for all is one of the sustainable development goals. Not only the gap of education between urban and rural students but also the gap of access to information and communications technology also exists. Thus, an effort to resolve this gap is necessary. This study combines novel engineering, which is the fusion of…
Descriptors: Models, Problem Solving, Problem Based Learning, Engineering Education
Tortorella, Richard A. W.; Kinshuk; Chen, Nian-Shing – Education and Information Technologies, 2018
Today people learn in many diverse locations and contexts, beyond the confines of classical brick and mortar classrooms. This trend is ever increasing, progressing hand-in-hand with the progress of technology. Context-aware learning systems are systems which adapt to the learner's context, providing tailored learning for a particular learning…
Descriptors: Electronic Learning, Educational Technology, Context Effect, Models
Wannapiroon, Naphong; Pimdee, Paitoon – Education and Information Technologies, 2022
Qualitative and quantitative research methods were undertaken to examine and develop a digitally based virtual classroom learning environment (VCLE) for Thai undergraduate students' creative thinking and innovation enhancement in science, technology, engineering, arts, and math (STEM/STEAM) disciplines. The research methodology was divided into…
Descriptors: Undergraduate Students, Art Education, STEM Education, Foreign Countries
Scoppio, Grazia; Luyt, Ilka – Education and Information Technologies, 2017
Distance education has provided the foundation for new generations of learning, including courses delivered through various web-based educational technologies, also referred to as online learning. Many post-secondary institutions face the challenge of creating processes and systems to support instructors who are required to design, deliver, and…
Descriptors: Instructional Design, Online Courses, Models, Educational Quality
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