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Priesmeyer, H. Richard; Mudge, Suzanne D.; Ward, Stephanie G. – Journal of Learning in Higher Education, 2016
This study measured the emotional responses of students to common service learning activities. Two hypotheses focused on (1) expected changes in the mean emotion scores and (2) expected differences in individual responses. Results showed significant increases in Surprise, Anxiety and Distress and individual differences in Contempt, Disgust and…
Descriptors: Emotional Response, Service Learning, Scores, Individual Differences
Ferrando, Pere J. – Applied Psychological Measurement, 2011
Models for measuring individual response precision have been proposed for binary and graded responses. However, more continuous formats are quite common in personality measurement and are usually analyzed with the linear factor analysis model. This study extends the general Gaussian person-fluctuation model to the continuous-response case and…
Descriptors: Factor Analysis, Models, Individual Differences, Responses
Using Simple and Complex Growth Models to Articulate Developmental Change: Matching Theory to Method
Ram, Nilam; Grimm, Kevin – International Journal of Behavioral Development, 2007
Growth curve modeling has become a mainstay in the study of development. In this article we review some of the flexibility provided by this technique for describing and testing hypotheses about: (1) intraindividual change across multiple occasions of measurement, and (2) interindividual differences in intraindividual change. Through empirical…
Descriptors: Individual Differences, Individual Development, Models, Computer Software
Lau, Siong-Hoe; Woods, Peter C. – British Journal of Educational Technology, 2009
Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the…
Descriptors: Electronic Learning, Student Attitudes, Intention, Information Systems
Hunt, Earl; Lansman, Marcy – 1984
This project was designed to construct a single theoretical framework for the analysis of problem solving and real time "attention and performance" behavior. The model was developed as a computer program. It was designed in a similar manner to that of various problem solving simulations that use the "production system"…
Descriptors: Attention, Cognitive Processes, Cognitive Style, Computer Simulation

Decoo, Wilfried – Computer Assisted Language Learning, 1996
Provides background information and basic options of Didascalia, a computer-assisted language learning center at the University of Antwerp (Belgium) in the domain of language methodology and technology. (CK)
Descriptors: Computer Assisted Instruction, Computer Software, Course Content, Databases

Troubleyn, Katrien; And Others – Computer Assisted Language Learning, 1996
Discusses the development of the Adaptive Testing Linguistic Achievement Significance (ATLAS) test used to evaluate second language proficiency of Belgian civil servants. Notes that testers encountered various problems caused by the complexity of language, the difference in background of the candidates and the absence of official objective test…
Descriptors: Computer Assisted Testing, Computer Software, Foreign Countries, Government Employees
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection