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Babcock, Renée L.; Georgiou, Jean – Journal of Effective Teaching in Higher Education, 2019
This study used propensity score matching to compare two online courseware systems intended for use as supplements to either face-to-face or online courses. One courseware system focused on adaptive features available to students while completing assignments; whereas the other system was an interactive courseware that provided embedded media…
Descriptors: Computer Software Evaluation, Courseware, Probability, Scores
Penedo, Janaina Rodrigues; Diniz, Morganna; Ferreira, Simone Bacellar Leal; Silveira, Denis S.; Capra, Eliane – Interactive Technology and Smart Education, 2012
Purpose: The purpose of this paper is to analyze the usability of a remote learning system in its initial development phase, using a quantitative usability evaluation method through Markov models. Design/methodology/approach: The paper opted for an exploratory study. The data of interest of the research correspond to the possible accesses of users…
Descriptors: Markov Processes, Evaluation Methods, Probability, Evaluation Research
Peer reviewedPrice, Lydia J. – Multivariate Behavioral Research, 1993
The ability of the NORMIX algorithm to recover overlapping population structures was compared to the OVERCLUS procedure and another clustering procedure in a Monte Carlo study. NORMIX is found to be more accurate than other procedures in recovering overlapping population structure when appropriate implementation options are specified. (SLD)
Descriptors: Algorithms, Classification, Cluster Analysis, Comparative Analysis
Peer reviewedCohen, Steve; And Others – Journal of Educational and Behavioral Statistics, 1996
A detailed multisite evaluation of instructional software, the ConStatS package, designed to help students conceptualize introductory probability and statistics, yielded patterns of error on several assessment items. Results from 739 college students demonstrated 10 misconceptions that may be among the most difficult concepts to teach. (SLD)
Descriptors: College Students, Computer Assisted Instruction, Computer Software Evaluation, Educational Assessment

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