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Anna Garrido; Digna Couso – Journal of Research in Science Teaching, 2025
The importance of models and modeling in science education is well-recognized, yet there exists significant polysemy among these terms within the literature. This ambiguity often leads to confusion, particularly regarding whether modeling represents an expected student performance, an instructional strategy to promote such performance, or both.…
Descriptors: Science Education, Learner Engagement, Models, Educational Practices
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Chih-Jung Ku; Kuen-Yi Lin; Hyuksoo Kwon; Todd R. Kelley – Journal of Technology Education, 2025
Despite the benefits of integrated Science, Technology, Engineering, and Mathematics (STEM) education that have been discussed for decades; many teachers still find it challenging to implement integrated STEM education due to lacking confidence and experience. Numerous models and frameworks exist, but they tend to focus on enhancing teachers'…
Descriptors: Instructional Design, Models, STEM Education, Integrated Curriculum
Jordan D. Troisi; Michael S. Palmer; Mary C. Wright; Lori A. Hostetler; Carol A. Hurney – Routledge, Taylor & Francis Group, 2025
Drawing on the authors' extensive experience and robust survey data, this critical resource unpacks the inner workings of one of the most powerful mechanisms for improving teaching and learning in higher education: the course design institute (CDI). CDIs are intensive, often multi-day facilitated experiences where instructors design or redesign a…
Descriptors: Curriculum Design, Institutes (Training Programs), Instructional Design, Equal Education
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Xueqiao Zhang; Chao Zhang; Jianwen Sun; Jun Xiao; Yi Yang; Yawei Luo – IEEE Transactions on Learning Technologies, 2025
Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Cognitive Ability
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Amine Hatun Atas; Zahide Yildirim – Educational Technology Research and Development, 2025
This study advances the emerging research on shared metacognition through the lens of the community of inquiry framework. It seeks components and utterances of the community of inquiry and shared metacognition in online collaborative learning environments to bring an instructional design model to the fore. A three-cycle design-based research…
Descriptors: Metacognition, Instructional Design, Models, Electronic Learning
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Canan Mesutoglu; Saskia Stollman; Ines Lopez Arteaga – International Journal of Information and Learning Technology, 2024
Purpose: Few resources exist to incorporate principles of modular approach to course design. This research aimed to help instructors by presenting principles for practical and empirically informed modular course design in engineering education. Design/methodology/approach: In the first phase, a systematic literature review was completed to…
Descriptors: Instructional Design, Engineering Education, Educational Principles, Models
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Ilham Marnola; I Nyoman Sudana Degeng; Saida Ulfa; Henry Praherdhiono – Journal of Educators Online, 2025
This research aims to develop an online Project-Based Collaborative Learning (PBL) model design by utilizing an asynchronous Online Discussion Forum (ODF) that can systematically direct teachers or lecturers as facilitators in learning, and how experts think about the design. Using the Research and Development (R&D) method, this design was…
Descriptors: Instructional Design, Models, Active Learning, Student Projects
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Tom Olney; Bart Rienties; Daphne Chang; Duncan Banks – Technology, Knowledge and Learning, 2024
Higher education institutions are increasingly moving from traditional education approaches to incorporate online and distance learning (ODL) models, and this represents a substantial educational challenge for many educators. One way to support this challenge is by providing appropriate professional development (PD) for the design of ODL. Based on…
Descriptors: Electronic Learning, Distance Education, Faculty Development, Foreign Countries
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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
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Andreas Lachner; Leonie Sibley; Salome Wagner – Educational Psychology Review, 2024
In educational research, there is the general trade-off that empirical evidence should be generalizable to be applicable across contexts; at the same time, empirical evidence should be as specific as possible to be localizable in subject-specific educational interventions to successfully transfer the empirical evidence to educational practice.…
Descriptors: Evidence Based Practice, Instructional Effectiveness, Science Instruction, Instructional Design
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Mark Nichols – Asian Journal of Distance Education, 2024
The terms 'open' and 'distance' are no longer helpful for advancing approaches to education traditionally served by open institutions. A proposal to reframe the terms 'open' and 'distance' is made: 'open', it is suggested, needs to be linked more explicitly to education that is increasingly available, inclusive, scalable, and sustainable.…
Descriptors: Open Education, Distance Education, Definitions, Instructional Design
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Juha Himanka – European Journal of Higher Education, 2025
This study presents the Terele-model (TEaching, REsearch, LEarning) -- an easy-to-use model that distinguishes different levels of connection between teaching, research and learning. To do this the study uses Johari windows to show clearly and intuitively the five different levels of action and interaction between the teacher and the student. At…
Descriptors: Models, Teaching Methods, Learning Processes, Theory Practice Relationship
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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
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Vindya V. Senadheera; Dileepa S. Ediriweera; Thilini P. Rupasinghe – Journal of Learning for Development, 2024
Instructional design (ID) is a systematic process that is used to develop education and training programmes in a consistent and reliable way. A key challenge faced by educators is selecting an ID model by deciding which ID model will be more suitable in order to achieve an effective digital teaching and learning process. The objective of this…
Descriptors: Instructional Design, Models, Electronic Learning, Higher Education
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Rebecca R. Lesnefsky; Jamie Elsner; Eric A. Kirk; Jasmyne Yeldell; Li Ke; Troy D. Sadler – CBE - Life Sciences Education, 2025
Integrating science education with social justice is vital for preparing students to critically address significant societal issues like climate change and pandemics. This study examines the effectiveness of socioscientific system modeling as a tool within Justice-Centered Science Pedagogy (JCSP) to enhance middle school students' understanding of…
Descriptors: Science and Society, Science Education, Social Justice, Models
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