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Dahlia K. Remler; Gregg G. Van Ryzin – American Journal of Evaluation, 2025
This article reviews the origins and use of the terms quasi-experiment and natural experiment. It demonstrates how the terms conflate whether variation in the independent variable of interest falls short of random with whether researchers find, rather than intervene to create, that variation. Using the lens of assignment--the process driving…
Descriptors: Quasiexperimental Design, Research Design, Experiments, Predictor Variables
Gerardo Luna-Gijón; Anahí Abysaí Nava-Cuahutle; Diana Angélica Martínez-Cantero – Journal of Visual Literacy, 2025
Visual diagrams are ubiquitous elements in science communication and science teaching. We can find them in texts from any area of knowledge. However, more studies are required to understand the mechanisms that make them useful tools for sharing information. This research, from an information design perspective, analyzes visual diagrams by…
Descriptors: Visual Aids, Design, Scientific and Technical Information, Classification
Tianjiao Zhao; Jiayi Jia; Tianfei Zhu; Junyu Yang – International Journal of Technology and Design Education, 2024
Designers are always pursuing design with suitable emotions. Effective emotional fusion not only produces a good user experience but also extends the product lifecycle. The decoding of design emotion and the use of design emotion language should run through the entire design process. In this study, we propose a new emotion-embedded design flow…
Descriptors: Psychological Patterns, Design, Artificial Intelligence, Databases
Hanane Sebbaq; Nour-eddine El Faddouli – International Review of Research in Open and Distributed Learning, 2024
MOOCs (massive open online courses), because of their scale and accessibility, have become a major area of interest in contemporary education. However, despite their growing popularity, the question of their quality remains a central concern, partly due to the lack of consensus on the criteria establishing such quality. This study set out to fill…
Descriptors: MOOCs, Quality Assurance, Success, Instructional Design
Marcela Pessoa; Marcia Lima; Fernanda Pires; Gabriel Haydar; Rafaela Melo; Luiz Rodrigues; David Oliveira; Elaine Oliveira; Leandro Galvao; Bruno Gadelha; Seiji Isotani; Isabela Gasparini; Tayana Conte – IEEE Transactions on Learning Technologies, 2024
Game designers and researchers have sought to create gameful environments that consider user preferences to increase engagement and motivation. In this sense, it is essential to identify the most suitable game elements for users' profiles. Designers and researchers must choose strategies to classify users into predefined profiles and select the…
Descriptors: Educational Environment, Game Based Learning, Classification, Learner Engagement
Ya Xiao; Khe Foon Hew – Interactive Learning Environments, 2024
In recent years, many studies have highlighted the need to go beyond the "one-size-fits-all" gamification approach to tailored or personalised gamification to optimise students' engagement based on their user attributes. However, little is known about its effectiveness on student engagement. To advance the understanding of personalized…
Descriptors: Individualized Instruction, Gamification, Student Participation, Learner Engagement
Jessica Gatewood – ProQuest LLC, 2024
This non-experimental causal-comparative study aims to explore the possible effect of expertise on learning experience design (LXD) deviation identification and the classification of these deviations in alignment with provided learning experience design constructs within a learning technology. Additionally, this study challenges Nielsen's (1993)…
Descriptors: Educational Technology, Novices, Expertise, Learning Experience
Khaleel Asyraaf Mat Sanusi; Deniz Iren; Nardie Fanchamps; Mai Geisen; Roland Klemke – Educational Technology Research and Development, 2025
Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…
Descriptors: Psychomotor Skills, Skill Development, Computer Simulation, Electronic Learning
Diego G. Campos; Tim Fütterer; Thomas Gfrörer; Rosa Lavelle-Hill; Kou Murayama; Lars König; Martin Hecht; Steffen Zitzmann; Ronny Scherer – Educational Psychology Review, 2024
Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…
Descriptors: Artificial Intelligence, Algorithms, Computer System Design, Natural Language Processing
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
Jiahong Su; Weipeng Yang – Research in Science & Technological Education, 2024
Background: The technological age of the twenty-first century has witnessed an upsurge in the demand for STEM education. Early childhood STEM learning and teaching has sparked attention among researchers. Purpose: This study aims to provide a holistic review of current STEM research in Early Childhood Education (ECE). Sample: We conducted a…
Descriptors: STEM Education, Early Childhood Education, Bibliometrics, Educational Research
Olasunkanmi James Kehinde – ProQuest LLC, 2024
The Q-matrix played a key role in implementations of diagnostic classification models (DCMs) or cognitive diagnostic models (CDMs) -- a family of psychometric models that are gaining attention in providing diagnostic information on students' mastery of cognitive attributes or skills. Using two Monte Carlo simulation studies, this dissertation…
Descriptors: Diagnostic Tests, Q Methodology, Learning Trajectories, Sample Size
Huey T. Chen; Liliana Morosanu; Victor H. Chen – Asia Pacific Journal of Education, 2024
The Campbellian validity typology has been used as a foundation for outcome evaluation and for developing evidence-based interventions for decades. As such, randomized control trials were preferred for outcome evaluation. However, some evaluators disagree with the validity typology's argument that randomized controlled trials as the best design…
Descriptors: Evaluation Methods, Systems Approach, Intervention, Evidence Based Practice
Emily C. Marshall; Anthony Underwood; Abigail Hyde – Journal of Economic Education, 2024
The undergraduate economics curricula for most of the 793 U.S. colleges and universities that conferred an economics bachelor's degree in 2019 are described in this article. Besides updating the prevalence of the economics major core requirements and their differences by institution type, the authors record new information on requirement…
Descriptors: Undergraduate Students, Economics Education, Curriculum Design, Course Descriptions
Saba Gerami – ProQuest LLC, 2024
In this dissertation I explore instructors' work with instructional tasks as they plan to introduce various representations of derivatives. Drawing on the notion of "framing" from sociology, I adopt a situative lens to study calculus instructors' planning of instructional tasks. I rely on Herbst and Chazan's (2012) notion of…
Descriptors: Calculus, Mathematics Teachers, Mathematics Instruction, Teaching Methods
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