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Elizabeth Boling; Victoria Abramenka-Lachheb; Dilnoza Kadirova; Merve Basdogan; Rajagopal Sankaranarayanan; Vanessa Johnson; Alyse Harris; Ahmed Lachheb – TechTrends: Linking Research and Practice to Improve Learning, 2025
As part of a larger study (Boling et al., 2024a, b), this paper reports on how instructional designers define and use precedent knowledge, including its sources, forms, and role in decision-making. Using a qualitative approach, we conducted semi-structured interviews with instructional designers from higher education and non-profit professional…
Descriptors: Prior Learning, Decision Making, Instructional Design, Program Validation
Serafeim A. Triantafyllou; Christos Georgiadis; Theodosios Sapounidis – International Review of Education, 2025
Gamification, when properly implemented in education and training, can increase the engagement and motivation of learners and inspire them to change aspects of their behaviour to support learning. Although the use of gamification in the learning process might have a positive impact, its potential to strengthen education and training has not yet…
Descriptors: Gamification, Educational Practices, Meta Analysis, Models
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
Palmer, Russ; Choi, Ikseon – Educational Technology Research and Development, 2023
The goal of this article is to propose a framework for understanding the nature of "how people construct problems" by interacting with situations and subsequently to offer implications for instructional design and future research. We propose that people must interactively frame the components of a situation in order to establish the…
Descriptors: Problem Solving, Epistemology, Models, Cognitive Processes
Seonyoung Hwang; Sunyoung Han – Journal of Mathematics Teacher Education, 2025
This study aimed to observe the competencies of pre-service mathematics teachers in designing mathematical modeling tasks. The participants were 45 pre-service mathematics teachers enrolled in a Mathematics Education Theory course at a university in Seoul, South Korea. Data were collected from surveys and task development reports. The participants…
Descriptors: Preservice Teachers, Mathematics Teachers, Teacher Competencies, Mathematical Models
A Six-Stage Instructional Design Model for Collaborative Implementation of Integrated STEM Education
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
Adem Özkan; Isak Çevik; Esin Saylan; Ünal Çakiroglu – International Review of Research in Open and Distributed Learning, 2025
With the rapid evolution of online learning, driven by technological advancements and the global transition to distance education during the COVID-19 pandemic, the demand for effective instructional design models has become increasingly critical. This study conducted a systematic mapping analysis of instructional design models tailored for online…
Descriptors: Instructional Design, Electronic Learning, Educational Trends, Futures (of Society)
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
Chaleomkiat Kitsanajan; Pattarawat Jeerapattanatorn; Sutithep Siripipattanakul; Thanapat Sripan – World Journal of Education, 2025
Entrepreneurship education is increasingly emphasized in primary schools, yet many teachers are not adequately prepared to effectively cultivate students' entrepreneurial skills. This study investigated primary teachers' professional development needs for promoting entrepreneurial characteristics among students and developed a tailored learning…
Descriptors: Elementary School Teachers, Entrepreneurship, Faculty Development, Technology Integration
Kanitkan Pankaew; Setthawit Chanowan; Sutthimun Piyakoson – Asian Journal of Education and Training, 2025
This academic article aims to present the principles of systematic design and development of educational innovations through research methodology, alongside protocols for effectiveness evaluation. The design and development of contemporary educational innovation require integration between principles of innovation and technology implementation,…
Descriptors: Educational Innovation, Models, Instructional Design, Efficiency
Costa, Joana Martinho; Miranda, Guilhermina Lobato; Melo, Mário – Learning Environments Research, 2022
The four-component instructional design model (4C/ID) has been increasingly used in face-to-face and online learning environments. We present a meta-analysis on the use and effect on performance of educational programs developed with the 4C/ID model after more than 20 years of its application and research in different academic areas and technical…
Descriptors: Instructional Design, Models, Meta Analysis, College Instruction
MacLellan, Christopher J.; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2022
Intelligent tutoring systems are effective for improving students' learning outcomes (Pane et al. 2013; Koedinger and Anderson, "International Journal of Artificial Intelligence in Education," 8, 1-14, 1997; Bowen et al. "Journal of Policy Analysis and Management," 1, 94-111 2013). However, constructing tutoring systems that…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Instructional Design
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
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
Joanne Weber; Denyse Hayward; Michael Skyer; Sarah Snively – Journal of Deaf Studies and Deaf Education, 2025
Deaf aesthetics is a theoretical framework we actualized to enhance interactions in deaf education, particularly via multimodal pedagogy and curricular experiences. Prior research illustrates that deaf aesthetics are desired by deaf teachers and students who are deaf; however, most instructional-delivery formats lack these supports. The present…
Descriptors: Higher Education, Deaf Blind, Deafness, Instructional Design

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