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Paul Kim; Wilson Wang; Curtis J. Bonk – Journal of Educational Computing Research, 2025
Following the launch of the generative AI Web application, Ask.SMILE, designed to evaluate the cognitive levels of questions asked, 2559 educators generated 25,973 question-feedback sets over a three-month period, with an average of over 10 questions per participant. Analyses revealed a significant improvement in question quality from initial…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Wiseness, Test Items
Zhu, Xin-Hua; Wu, Tian-Jun; Chen, Hong-Chao – Journal of Educational Computing Research, 2018
Based on the sharable content object concept of advanced distributed learning, an ontology-based intelligent content object (ICO) that can automatically reason and be reused is proposed. Then, by extending the advanced distributed learning or sharable content object reference model (SCORM) specification, an interoperable model for the ICO is…
Descriptors: Models, Intelligent Tutoring Systems, Computer Software, Multimedia Instruction
Klippel, Alexander; Zhao, Jiayan; Jackson, Kathy Lou; La Femina, Peter; Stubbs, Chris; Wetzel, Ryan; Blair, Jordan; Wallgrün, Jan Oliver; Oprean, Danielle – Journal of Educational Computing Research, 2019
The value of field trips is undisputed across disciplines. Field-site visits whether in social or physical sciences provide grounding for place- and discovery-based learning. Yet field trips have limitations that can now be overcome by the promise of immersive technologies that can improve quality and accessibility. This promise is twofold: First,…
Descriptors: Earth Science, Science Education, Field Trips, Educational Technology
Zendler, Andreas; Seitz, Cornelia; Klaudt, Dieter – Journal of Educational Computing Research, 2016
A process model ("cpm.4.CSE") is introduced that allows the development of competence models in computer science education related to curricular requirements. It includes eight subprocesses: (a) determine competence concept, (b) determine competence areas, (c) identify computer science concepts, (d) assign competence dimensions to…
Descriptors: Competency Based Education, Models, Computer Science Education, Curriculum Development
Kong, Siu Cheung; Li, Ping; Song, Yanjie – Journal of Educational Computing Research, 2018
This study evaluated a bilingual text-mining system, which incorporated a bilingual taxonomy of key words and provided hierarchical visualization, for understanding learner-generated text in the learning management systems through automatic identification and counting of matching key words. A class of 27 in-service teachers studied a course…
Descriptors: Visualization, Bilingualism, Taxonomy, Metadata
Shi, Nianfeng; Cui, Wen; Zhang, Ping; Sun, Ximing – Journal of Educational Computing Research, 2018
This research applies the roles of variables to the novice programmers in the C language programming. The results are evaluated using the Structure of Observed Learning Outcomes (SOLO) taxonomy. The participants were divided into an experimental group and a control group. The students from the control group learned programming in the traditional…
Descriptors: Computer Science Education, Programming, Programming Languages, Novices
Jerman Blažic, Andrej; Džonova Jerman Blažic, Borka – Journal of Educational Computing Research, 2015
This article explores existing attempts to design a comprehensive and complex taxonomy framework for an educational business game intended to categorize and evaluate various properties. The identified missing elements in the current proposed taxonomies were used as a starting point for the design of a new category that addresses the game's…
Descriptors: Educational Games, Business, Business Education, Taxonomy