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Chan, Jenny Yun-Chen; Nagashima, Tomohiro; Closser, Avery H. – Cognitive Science, 2023
Given the recent call to strengthen collaboration between researchers and relevant practitioners, we consider participatory design as a way to advance Cognitive Science. Building on examples from the Learning Sciences and Human-Computer Interaction, we (a) explore "what," "why," "who," "when," and…
Descriptors: Cognitive Science, Learning Processes, Man Machine Systems, Cooperation
Memmert, Lucas; Tavanapour, Navid; Bittner, Eva – Journal of Information Systems Education, 2023
Design science research (DSR) is taught in university courses and used by students for their final theses. For successfully learning DSR, it is important to learn to apply it to real-world problems. However, students not only need to learn the new DSR paradigm (meta-level) but also need to develop an understanding of the problem domain…
Descriptors: Scientific Research, Research Design, Teacher Attitudes, Artificial Intelligence
David R. Squires – Journal of Educational Technology, 2023
Educational research has witnessed profound changes in recent decades as society becomes increasingly digital and interconnected. This paper delves into the intersections between AI, design-based research, and the learning sciences. As classrooms, whether physical or virtual, have evolved into hubs of diverse interactions, there is a pressing need…
Descriptors: Artificial Intelligence, Research Design, Technology Integration, Sciences
Sevan Nart – Turkish Online Journal of Educational Technology - TOJET, 2025
Research has indicated that the ever-changing emerging technologies have different impacts on music education from many perspectives such as; music pedagogy, instruction methods, evaluation approaches. For almost 30 years the online learning and education platforms based on Artificial Intelligence (AI) provides both teachers and students with rich…
Descriptors: Music Education, Artificial Intelligence, Educational Technology, Technology Uses in Education
Debbie Rohwer – Update: Applications of Research in Music Education, 2024
In this research-to-resource article, I introduce possible uses of ChatGPT, an artificial intelligence chatbot developed by OpenAI, for music education research settings. I discuss the impacts of artificial intelligence on education environments and highlight uses of ChatGPT as a tool, including the role of ChatGPT in information gathering,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Music Education
Duy Pham; Kirk Vanacore; Adam Sales; Johann Gagnon-Bartsch – Society for Research on Educational Effectiveness, 2024
Background: Education researchers typically estimate average program effects with regression; if they are interested in heterogeneous effects, they include an interaction in the model. Such models quantify and infer the influences of each covariate on the effect via interaction coefficients and their associated p-values or confidence intervals.…
Descriptors: Educational Research, Educational Researchers, Regression (Statistics), Artificial Intelligence
Martinez, Aleix M. – Developmental Psychology, 2019
Computer vision algorithms have made tremendous advances in recent years. We now have algorithms that can detect and recognize objects, faces, and even facial actions in still images and video sequences. This is wonderful news for researchers that need to code facial articulations in large data sets of images and videos, because this task is time…
Descriptors: Automation, Coding, Nonverbal Communication, Children
Collins, Gary W.; Knoetze, Johan G. – Australasian Journal of Educational Technology, 2014
Information communication technology is capable of contributing supplementary teaching and learning strategies that can be used to address various educational challenges faced by higher education. Students who enter South African higher education institutions are often academically under-prepared and have not developed the cognitive skills…
Descriptors: Foreign Countries, Information Technology, Higher Education, Educational Technology
Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D. – Grantee Submission, 2012
Data-mined models often achieve good predictive power, but sometimes at the cost of interpretability. We investigate here if selecting features to increase a model's construct validity and interpretability also can improve the model's ability to predict the desired constructs. We do this by taking existing models and reducing the feature set to…
Descriptors: Content Validity, Data Interpretation, Models, Predictive Validity
Grubisic, Ani; Stankov, Slavomir; Rosic, Marko; Zitko, Branko – Computers & Education, 2009
We believe that every effectiveness evaluation should be replicated at least in order to verify the original results and to indicate evaluated e-learning system's advantages or disadvantages. This paper presents the methodology for conducting controlled experiment replication, as well as, results of a controlled experiment and an internal…
Descriptors: Control Groups, Research Design, Computer Assisted Instruction, Artificial Intelligence

Baylor, Amy L. – Journal of Educational Computing Research, 2002
Discusses intelligent learning environments for computer-based learning, such as agent-based learning environments, and their advantages over human-based instruction. Considers the effects of multiple agents; agents and research design; the use of Multiple Intelligent Mentors Instructing Collaboratively (MIMIC) for instructional design for…
Descriptors: Artificial Intelligence, Educational Environment, Futures (of Society), Instructional Design
Ohlsson, Stellan – 1990
Prior research on learning has been linked to instruction by the derivation of general principles of instructional design from learning theories. However, such design principles are often difficult to apply to particular instructional issues. A new method for relating research on learning to instructional design is proposed: Different ways of…
Descriptors: Arithmetic, Artificial Intelligence, Cognitive Processes, Computer Simulation
Goldstein, Ira – 1976
This paper is a preliminary proposal to develop the theory and design for "coaches" for computer games, to implement prototypes, and to experiment with their ability to convey important intellectual skills. The focus of this project will be restricted to developing a coach for a single example of an intellectual game called Wumpus. It is…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Programs, Games

Dresher, B. Elan; Horstein, Norbert – Cognition, 1977
The authors respond to Winograd's critique (TM 503 198) of their previous article on the contributions of artificial intelligence to the scientific study of language (EJ 161 384). Winograd's interpretations of the "Chomskian paradigm," and of statements made in Dresher and Hornstein's original paper, are challenged. (GDC)
Descriptors: Artificial Intelligence, Computational Linguistics, Generative Grammar, Grammar

Green, T. R. G.; Guest, D. J. – International Journal of Man-Machine Studies, 1974
The main features of a general-purpose experimental language are described, followed by an account of its implementation. (Author)
Descriptors: Artificial Intelligence, Computer Programs, Computer Science, Electromechanical Technology
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