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Rodrigo Rodrigues Major; Miguel Mira da Silva – Cogent Education, 2023
Gamification has the potential to enhance learner motivation and increase participation, thereby improving MOOC's retention rates. However, challenges exist in finding the balance between learning and gamification elements and ensuring effective implementation, as well as the limited availability of established gamification frameworks tailored for…
Descriptors: Gamification, MOOCs, Instructional Design, Learner Engagement
Lin Zhong – Interactive Learning Environments, 2023
While most educators regard personalized learning as beneficial for higher education and continuous research has demonstrated the effectiveness of personalized learning, a comprehensive understanding of how personalized learning has been designed and implemented in higher education is scarce. The purpose of this review study is to examine the…
Descriptors: Individualized Instruction, Higher Education, Instructional Design, Instructional Materials
Joseph Taylor; Dung Pham; Paige Whitney; Jonathan Hood; Lamech Mbise; Qi Zhang; Jessaca Spybrook – Society for Research on Educational Effectiveness, 2023
Background: Power analyses for a cluster-randomized trial (CRT) require estimates of additional design parameters beyond those needed for an individually randomized trial. In a 2-level CRT, there are two sample sizes, the number of clusters and the number of individuals per cluster. The intraclass correlation (ICC), or the proportion of variance…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
Wendy Chan; Jimin Oh; Chen Li; Jiexuan Huang; Yeran Tong – Society for Research on Educational Effectiveness, 2023
Background: The generalizability of a study's results continues to be at the forefront of concerns in evaluation research in education (Tipton & Olsen, 2018). Over the past decade, statisticians have developed methods, mainly based on propensity scores, to improve generalizations in the absence of random sampling (Stuart et al., 2011; Tipton,…
Descriptors: Generalizability Theory, Probability, Scores, Sampling
Kwende, Maurine K. – ProQuest LLC, 2023
Instructional designers make numerous decisions daily to perform their job, for example, what authoring tool to use, what model or strategy to use, and what design process to use to develop learning solutions. Decision-making is important in the field of instructional design. The literature revealed many factors or variables instructional…
Descriptors: Delphi Technique, Expertise, Instructional Design, Decision Making
Powell, Sarah R.; Bouck, Emily C.; Sutherland, Marah; Clarke, Ben; Arsenault, Tessa L.; Freeman-Green, Shaqwana – TEACHING Exceptional Children, 2023
In this article, the authors focus on five instructional approaches with a strong evidence base for the teaching and learning of math: (a) plan, model, and practice: systematic and explicit instruction; (b) focus on the language of math; (c) use multiple representations, including number lines; (d) build fluency; and (e) provide word problem…
Descriptors: Mathematics Instruction, Instructional Design, Teacher Competencies, Mathematics Achievement
Tejendra Pherali; Min Layi Chan; Wirachan Charoensukaran; Elaine Chase; Eileen Kennedy; Greg Tyrosvoutis; Gabi Witthaus; Diana Laurillard – Journal of Interactive Media in Education, 2025
Educational providers frequently respond to learning disruptions encountered by refugees, internally displaced persons, and migrant communities through online platforms. Learning modules in these digital spaces are often remotely designed, prescriptive and lack full appreciation of challenging circumstances faced by teachers and learners. To…
Descriptors: Faculty Development, Relocation, Refugees, Teacher Response
Aída Walqui, Editor; George C. Bunch, Editor; Peggy Mueller, Editor – Teachers College Press, 2025
Expanded and revised to include four entirely new chapters, this thoroughly updated edition presents a model for how educators can design high-quality, challenging, and supportive learning opportunities for multilingual learners. Starting with the premise that conceptual, analytic, and language practices develop simultaneously as students engage…
Descriptors: Curriculum Design, Educational Quality, Spanish, Native Language
Jackson, Andrew; Godwin, Allison; Bartholomew, Scott; Mentzer, Nathan – International Journal of Technology and Design Education, 2022
Iteration and improvement are important attributes of design, tacitly indicating that failure is also a part of the process. There are different conceptions of failure in engineering contexts than in other academic settings. Therefore, for beginning designers, these failure experiences may be perceived as mishaps, lowering confidence or interest.…
Descriptors: Failure, Engineering, Design, STEM Education
Aydin, Orhan; Tanious, René – Journal of Applied Behavior Analysis, 2022
Visual analysis and nonoverlap-based effect sizes are predominantly used in analyzing single case experimental designs (SCEDs). Although they are popular analytical methods for SCEDs, they have certain limitations. In this study, a new effect size calculation model for SCEDs, named performance criteria-based effect size (PCES), is proposed…
Descriptors: Evaluation Criteria, Effect Size, Research Design, Data Analysis
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
Stefaniak, Jill; Baaki, John; Stapleton, Laura – Educational Technology Research and Development, 2022
When instructional designers talk about what they do, they often discuss their outcomes rather than their process. Conjecturing during decision-making requires the instructional designer to build upon their prior knowledge of the situation and experiences and make assumptions based on available information to design an appropriate solution. This…
Descriptors: Instructional Design, Teaching Methods, Decision Making, Protocol Analysis
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
Hallström, Jonas – International Journal of Technology and Design Education, 2022
From a philosophical viewpoint, technological design is about connecting what is desirable with what is technically possible. Technology itself plays a major role in design processes, not only because technology development is what designing is all about, but also since the existing technology at any given point in time frames what is possible to…
Descriptors: Technology Education, Design, Technological Literacy, Technological Advancement
Burns, Angela – International Journal of Art & Design Education, 2022
Within the context of fashion design, fabric is the key variable in the design process, offering infinite options in terms of variety, quality, weight, colour, texture and pattern. The manipulation of these fabrics is an effective tool at the designer's disposal, which can be used to create innovation in a design. This study examines the use of…
Descriptors: Clothing, Clothing Instruction, Design, Teaching Methods

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