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Ishaq, Kashif; Rosdi, Fadhilah; Zin, Nor Azan Mat; Abid, Adnan – Education and Information Technologies, 2022
Digital learning environments have been gaining prominence during the last few years. In particular, the rising usage of mobile devices, including smartphones and tabs, has invited researchers to design and develop learning applications and games for such platforms. Mobile applications and games have been developed for learning languages like many…
Descriptors: Educational Games, Language Acquisition, Handheld Devices, Computer Oriented Programs
Lowrie, Tom; Logan, Tracy – Mathematics Education Research Group of Australasia, 2019
The Early Learning STEM Australia (ELSA) pilot was a year-long investigation involving 300 educators and 4 500 four-year old children in one hundred learning centres across Australia. This paper reports on a pedagogical and design framework that was constructed to promote children's STEM engagement across digital and non-digital learning…
Descriptors: STEM Education, Early Childhood Education, Foreign Countries, Learner Engagement
Kim, SooHwan; Kim, HyeonCheol; Han, SeonKwan – Behaviour & Information Technology, 2013
This article describes the development of learning widget on m-learning and e-learning environments. A widget is a small, simple and useful application supporting user-oriented contents. The user may select and install widgets that are convenient as well as an auto-updating application including weather or calendar. These widgets are especially…
Descriptors: Foreign Countries, Electronic Learning, Handheld Devices, Computer Oriented Programs
Humphreys, Patrick; And Others – 1981
This paper discusses the incorporation of heuristics in computerized decision aids that are used for structuring decision problems. Decision theory is described in terms of linked subsystems, and sites where it is necessary to employ heuristic rather than normative, algorithmic procedures are identified. Production systems are then used to…
Descriptors: Computer Oriented Programs, Computer Software, Decision Making, Heuristics

Langley, Pat; Carbonell, Jaime G. – Journal of the American Society for Information Science, 1984
Reviews approaches to machine learning (development of techniques to automate acquisition of new information, skills, and ways of organizing existing information) in symbolic domains. Four categorical tasks addressed in machine learning literature are examined: learning from examples, learning search heuristics, learning by observation, and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Oriented Programs, Heuristics
Clancey, William J. – 1985
A broad range of well-structured problems--embracing forms of diagnosis, catalog selection, and skeletal planning--are solved in expert computer systems by the method of heuristic classification. These programs have a characteristic inference structure that systematically relates data to a pre-enumerated set of solutions by abstraction, heuristic…
Descriptors: Artificial Intelligence, Classification, Computer Oriented Programs, Computer Science
Clancey, William J. – 1985
This paper describes NEOMYCIN, a computer program that models one physician's diagnostic reasoning within a limited area of medicine. NEOMYCIN's knowledge base and reasoning procedure constitute a model of how human knowledge is organized and how it is used in diagnosis. The hypothesis is tested that such a procedure can be used to simulate both…
Descriptors: Artificial Intelligence, Clinical Diagnosis, Cognitive Processes, Computer Oriented Programs
Baumgartner, Peter; Payr, Sabine – 1998
This paper presents a model that was developed for the categorization and evaluation of stand-alone interactive media and that now is used to contribute to a more detailed and specific educational discussion of Internet use. The paper begins with a review of the foundations on which the model is built, including software as subject, tool, or…
Descriptors: Classification, Comparative Analysis, Computer Assisted Instruction, Computer Oriented Programs