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Austin M. Shin; Ayaan M. Kazerouni – ACM Transactions on Computing Education, 2024
Background and Context: Students' programming projects are often assessed on the basis of their tests as well as their implementations, most commonly using test adequacy criteria like branch coverage, or, in some cases, mutation analysis. As a result, students are implicitly encouraged to use these tools during their development process (i.e., so…
Descriptors: Feedback (Response), Programming, Student Projects, Computer Software
Raykov, Tenko – Measurement: Interdisciplinary Research and Perspectives, 2023
This software review discusses the capabilities of Stata to conduct item response theory modeling. The commands needed for fitting the popular one-, two-, and three-parameter logistic models are initially discussed. The procedure for testing the discrimination parameter equality in the one-parameter model is then outlined. The commands for fitting…
Descriptors: Item Response Theory, Models, Comparative Analysis, Item Analysis
Gogus, Aytac – Educational Technology Research and Development, 2013
Cognitive scientists investigate mental models (how humans organize and structure knowledge in their minds) so as to understand human understanding of and interactions with the world. Cognitive and mental model research is concerned with internal conceptual systems that are not easily or directly observable. The goal of this research was to…
Descriptors: Computer Assisted Testing, Computer Software Evaluation, College Students, Comparative Analysis
White, Peter J. T.; Delaney, David G.; Syncox, David; Akerberg, Oscar Avila; Alters, Brian – EDUCAUSE Quarterly, 2011
Student response systems can help instructors integrate active learning into their classrooms. Such technology is known by a variety of names, including classroom response systems, student response systems, audience response systems, electronic response systems, personal response systems, zappers, and clickers. The "system" consists of three…
Descriptors: Student Reaction, Audience Response, Computer Software, Active Learning
Chu, Hui-Chun; Hwang, Gwo-Jen; Huang, Yueh-Min – Innovations in Education and Teaching International, 2010
Conventional testing systems usually give students a score as their test result, but do not show them how to improve their learning performance. Researchers have indicated that students would benefit more if individual learning guidance could be provided. However, most of the existing learning diagnosis models ignore the fact that one concept…
Descriptors: Test Results, Teaching Methods, Elementary School Students, Elementary School Teachers
Cochrane, Thomas; Bateman, Roger – Australasian Journal of Educational Technology, 2010
Built on the foundation of four years of research and implementation of mobile learning projects (m-learning), this paper provides an overview of the potential of the integration of mobile Web 2.0 tools (based around smartphones) to facilitate social constructivist pedagogies and engage students in tertiary education. Pedagogical affordances of…
Descriptors: Feedback (Response), Constructivism (Learning), Communities of Practice, Action Research
Wang, Feng-Hsu – Educational Technology & Society, 2008
The WWW is now in widespread use for delivering on-line learning content in many large-scale education settings. Given such widespread usage, it is feasible to accumulate data concerning the most useful learning experiences of past students and share them with future students. Browsing events that depict how past students utilized the learning…
Descriptors: Feedback (Response), Instructional Materials, Internet, Models
Baghaei, Nilufar; Mitrovic, Antonija; Irwin, Warwick – International Journal of Computer-Supported Collaborative Learning, 2007
We present COLLECT-UML, a constraint-based intelligent tutoring system (ITS) that teaches object-oriented analysis and design using Unified Modelling Language (UML). UML is easily the most popular object-oriented modelling technology in current practice. While teaching how to design UML class diagrams, COLLECT-UML also provides feedback on…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Cooperation, Problem Solving
Niederhauser, Dale S.; Salem, Donna J.; Fields, Matt – Online Submission, 1999
The typical introduction to technology course focuses on helping preservice teachers develop skills for using technology and integrating it into their practice (Downs, 1992; McKenzie, 1994; Niess, 1991; Raiford & Braulick, 1995). Current national standards for technology in teacher preparation also emphasize the importance of developing skills…
Descriptors: Preservice Teachers, Introductory Courses, Technical Education, Technology Uses in Education

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