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Direct linkKuikka, Matti; Laakso, Mikko-Jussi; Joshi, Marjo – Journal of Educational Technology Systems, 2016
This article outlines the effect of the collaborative educational tool ViLLE when learning business mathematics in higher education. ViLLE validates students' answers during the assessment process and provides immediate feedback, enabling students to receive feedback and guidance about the correctness of their answers. The learning results in the…
Descriptors: Feedback (Response), Mathematics Instruction, Higher Education, College Mathematics
Download full textKrupa, Erin; Webel, Corey; McManus, Jason – North American Chapter of the International Group for the Psychology of Mathematics Education, 2013
We share results from a quasi-experimental study in which we compared achievement between traditional lecture-based and computer-based sections of college algebra on a common multiple choice exam as well as performance on problem solving items. Students in the computer-based group performed better on the final exam and were also more likely to…
Descriptors: Algebra, Mathematics Instruction, Quasiexperimental Design, Comparative Analysis
Ferrao, Maria – Assessment & Evaluation in Higher Education, 2010
The Bologna Declaration brought reforms into higher education that imply changes in teaching methods, didactic materials and textbooks, infrastructures and laboratories, etc. Statistics and mathematics are disciplines that traditionally have the worst success rates, particularly in non-mathematics core curricula courses. This research project,…
Descriptors: Foreign Countries, Computer Assisted Testing, Educational Technology, Educational Assessment
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Kim, JinGyu; McLean, James E. – 1995
The purpose of the study was to investigate the effects of test motivation on estimated ability, test anxiety, and attitudes toward computerized adaptive testing (CAT). Korean college students (n=208) were given the Math Aptitude Test, Math Self-Concept Scale, Math Test Anxiety Scale, Computer Competence Instrument, Computer Anxiety Scale, and…
Descriptors: Ability, Adaptive Testing, Aptitude Tests, College Students
Wise, Steven L.; And Others – 1993
This study assessed whether providing examinees with a choice between computerized adaptive testing (CAT) and self-adaptive testing (SAT) affects test performance in comparison with being assigned a CAT or SAT, and evaluated variables influencing examinee choice of either test form. The relative influences of test type and test choice on examinee…
Descriptors: Ability, Adaptive Testing, Algebra, College Students
Florida State Dept. of Education, Tallahassee. – 1999
This document contains the test administration plan for the College-Level Academic Skills Test (CLAST), a test used to assess the college-level skills of Florida students in the early years of college. The plan contains the procedures to be followed during the year in the administration of the CLAST. The document specifies the responsibilities of…
Descriptors: Academic Achievement, Achievement Tests, Adaptive Testing, Administrator Role
