Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Computer Assisted Instruction | 31 |
| Learning Processes | 31 |
| Man Machine Systems | 31 |
| Artificial Intelligence | 10 |
| Higher Education | 10 |
| Interaction | 10 |
| Instructional Design | 8 |
| Courseware | 7 |
| Models | 7 |
| Teaching Methods | 7 |
| Literature Reviews | 6 |
| More ▼ | |
Source
Author
Publication Type
| Journal Articles | 20 |
| Information Analyses | 11 |
| Reports - Research | 11 |
| Opinion Papers | 9 |
| Reports - Descriptive | 8 |
| Speeches/Meeting Papers | 3 |
| Books | 1 |
| Collected Works - Proceedings | 1 |
| Guides - Non-Classroom | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Adult Education | 1 |
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
| Researchers | 4 |
| Practitioners | 2 |
| Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sarah Prestridge; Seng Chee Tan; Michele Jacobsen; H. Ulrich Hoppe; Charoula Angeli; Marcelo Milrad; Shesha Kanta Pangeni; Eugenia Kovatcheva; Ayoub Kafyulilo; Brendan Flanagan; Ferial Khaddage – Technology, Knowledge and Learning, 2024
This article originated from a working group on "Learning beyond formal schooling through human--computer--human interaction (HCHI)" convened at the UNESCO EDUSummIT 2023 in Kyoto (Japan). A polylogue approach was adopted by engaging eight co-authors whose diverse perspectives culminated in propositions that addressed the pivotal…
Descriptors: Foreign Countries, Informal Education, Nonformal Education, Computer Mediated Communication
Shi, Guimin; Yang, Sheng; Liu, Changyong; Meng, Shimin; Luo, Zhiming; Li, Shaozi – International Journal of Distance Education Technologies, 2020
In this article, a cognitive framework for observing learning activities based on human-computer coupling is proposed. The observation is based on the vectorization of a learning situation along with human-computer interaction factors. An evolutionary high-dimensional topology of learning cognitive flow is introduced for human-computer…
Descriptors: Learning Processes, Observation, Cognitive Structures, Interaction
Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
Tegos, Stergios; Demetriadis, Stavros; Papadopoulos, Pantelis M.; Weinberger, Armin – International Journal of Computer-Supported Collaborative Learning, 2016
Conversational agents that draw on the framework of academically productive talk (APT) have been lately shown to be effective in helping learners sustain productive forms of peer dialogue in diverse learning settings. Yet, literature suggests that more research is required on how learners respond to and benefit from such flexible agents in order…
Descriptors: Interpersonal Communication, Computer Mediated Communication, Academic Discourse, Peer Relationship
Gisolfi, A.; And Others – Educational Technology, 1993
Discussion of expert systems and intelligent tutoring systems in the education field highlights an expert system that was developed to enhance the learning process in the field of grammatical constructs. Topics addressed include representing the natural language; parsing; LOGOOP (Logo in Object-Oriented Programing); and user-system interface. (11…
Descriptors: Computer Assisted Instruction, Expert Systems, Grammar, Learning Processes
Park, Ok-choon – Educational Technology, 1988
Examines the functional characteristics of intelligent computer assisted instruction (ICAI) and discusses the requirements of a multidisciplinary cooperative effort of its development. A typical ICAI model is presented and intelligent features of ICAI systems are described, including modeling the student's learning process, qualitative decision…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Decision Making, Inferences
Peer reviewedSelf, J. A. – International Journal of Man-Machine Studies, 1974
A proposed student model consisting of a set of programs to represent the student's knowledge state. Teaching proceeds after a comparative evaluation of student and teacher programs, and learning is represented by direct modification of the student model. The advantages of an explicit procedural model are illustrated by considering a program which…
Descriptors: Computer Assisted Instruction, Computer Programs, Computer Science, Educational Research
Poirot, James L.; Norris, Cathleen A. – Computing Teacher, 1987
This first in a projected series of five articles discusses artificial intelligence and its impact on education. Highlights include the history of artificial intelligence and the impact of microcomputers; learning processes; human factors and interfaces; computer assisted instruction and intelligent tutoring systems; logic programing; and expert…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Educational Trends, Human Factors Engineering
Peer reviewedJih, Hueyching Janice; Reeves, Thomas Charles – Educational Technology, Research and Development, 1992
Discussion of user-friendly computer systems focuses on the use of learners' mental models to help in the design of interactive learning systems. Topics addressed include interactivity; human factors research; human-computer interface issues; individual differences, including learning styles and prior experience; cognitive load; measuring mental…
Descriptors: Computer Assisted Instruction, Computer Software Development, Computer System Design, Learning Processes
Judd, Wilson A.; And Others – 1975
Two assumptions in support of learner-controlled computer-assisted instruction (CAI) are that (1) instruction administered under learner control will be less aversive than if administered under program control, and (2) the student is sufficiently aware of his learning state to make, in most instances, his own instructional decisions. Some 130…
Descriptors: Anxiety, Aptitude Treatment Interaction, Autoinstructional Aids, College Students
Peer reviewedHannafin, Michael J. – Canadian Journal of Educational Communication, 1989
Reviews traditional functions of interaction in computer-based instruction (CBI); describes quantitative and qualitative perspectives on interaction strategies; discusses design-centered and learner-centered interaction; and presents methods for promoting cognitive engagement via mathemagenic and generative interaction strategies, including…
Descriptors: Cognitive Psychology, Computer Assisted Instruction, Cooperative Learning, Group Discussion
Midoro, V.; And Others – Programmed Learning and Educational Technology, 1988
Describes the theoretical framework of a research project aimed at exploring the new potentials for instructional systems offered by videodisc technology and artificial intelligence. A prototype of an intelligent tutoring system, "Earth," is described, and types of interactions in instructional systems are discussed as they relate to the…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Instructional Systems
Peer reviewedDuchastel, P.; And Others – Journal of Educational Technology Systems, 1989
Discusses intelligent computer assisted instruction (ICAI) and presents various models of learning which have been proposed. Topics discussed include artificial intelligence; intelligent tutorial systems; tutorial strategies; learner control; system design; learning theory; and knowledge representation of proper and improper (i.e., incorrect)…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Instructional Design
Peer reviewedMerrill, M. David – Computers in Human Behavior, 1988
Reviews instructional design techniques that are suggested for improving the quality and effectiveness of educational software. Three areas of instructional design are addressed: (1) instructional strategies, including provision, examples and active feedback; (2) screen display, including text style variety; and (3) human factors, including…
Descriptors: Computer Assisted Instruction, Courseware, Feedback, Guidelines
Peer reviewedGilmore, David J. – Machine-Mediated Learning, 1996
Considers the relevance of human-computer interaction (HCI) guidelines for educational interface design, including why educational software is different from other products; differences in goal focus; performance and learning; and experiments that investigated transfer of learning, including implications for the design of educational technologies.…
Descriptors: Academic Achievement, Computer Assisted Instruction, Courseware, Educational Objectives

Direct link
