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Direct linkJing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
Download full textBarnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Peer reviewedJames, Carlton T. – Journal of Experimental Psychology: Human Perception and Performance, 1975
This paper addressed itself to the general question of the depth of processing required for lexical decision. (Author/RK)
Descriptors: Decision Making, Experimental Psychology, Psychological Studies, Research Methodology
Peer reviewedNeely, James H. – American Journal of Psychology, 1977
Examines, within a single experiment, whether the conditions exist for drawing a valid inference about the possibility of a word losing its meaning through either visual satiation or visual "and" verbal satiation. Evaluates research by Fillenbaum (1964) and Esposito and Pelton (1969). (Author/RK)
Descriptors: Alphabets, Decision Making, Information Processing, Psychological Studies
Hall, Homer J. – 1977
The value systems by which the users of purchased information services select which one to use or buy are found to differ sharply among different user populations, but the variable found to control them is a function of use, not of the user as an individual. Selection variables are summarized in a matrix of user values and interaction effects. The…
Descriptors: Data Analysis, Decision Making, Discriminant Analysis, Evaluation Methods
SAMSON, RICHARD W.; UPTON, ALBERT – 1963
WRITTEN TO IMPLEMENT THE PRINCIPLES SET FORTH IN "DESIGN FOR THINKING" (SEE TE 000 457.), THIS BOOK DEALS WITH WORDS AS TOOLS OF THOUGHT AND WITH THE PROBLEM-SOLVING FUNCTION OF LANGUAGE. CHAPTERS ARE ON (1) QUALIFICATION, CLASSIFICATION, AND ABSTRACTION, (2) SIGNS, REPRESENTATIONS, SYMBOLS, AND MATRICES, (3) ANALYSIS (BY CLASSIFICATION,…
Descriptors: Abstract Reasoning, Classification, Creative Thinking, Data Analysis
Peer reviewedStohr, Edward A.; And Others – Journal of Management Information Systems, 1987
Six papers dealing with decision support and knowledge based systems are presented. Five of the papers are concerned in some way with the use of artificial intelligence techniques in individual or group decision support. The sixth paper presents empirical results from the use of a group decision support system. (CLB)
Descriptors: Automation, Brainstorming, Decision Making, Expert Systems
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
