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Pham, Xuan Lam; Nguyen, Thi Huyen; Chen, Gwo Dong – Journal of Educational Computing Research, 2018
In this study, we analyzed usages behaviors of 53,825 active users from 12 countries in a mobile app called "English Practice." The data indicated that the app was used most often in the evening from 8 p.m. to 9 p.m., and especially midweek, with less use at weekends and on Mondays. Learners used the app for about 5 minutes each session…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Aguilar, Jose; Cordero, Jorge; Buendía, Omar – Journal of Educational Computing Research, 2018
In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…
Descriptors: Data Analysis, Learning Processes, Decision Making, Instructional Improvement
Louca, Loucas T.; Zacharia, Zacharias C.; Michael, Michalis; Constantinou, Constantinos P. – Journal of Educational Computing Research, 2011
The purpose of this study was to develop a framework for analyzing and evaluating student-constructed models of physical phenomena and monitoring the progress of these models. Moreover, we aimed to examine whether this framework could capture differences between models created using different computer-based modeling tools; namely, computer-based…
Descriptors: Foreign Countries, Programming, Classification, Student Evaluation

Zammit, Katina – Journal of Educational Computing Research, 2000
Explains the development of a classification system for different types of icons to determine which icons proved difficult for elementary school students to read. Considers pictorial, textual, and combination icons from two CD-ROM programs, and concludes that assumptions about pictorial navigation icons and benefits of pop-up labels are probably…
Descriptors: Classification, Computer Assisted Instruction, Elementary Education, Elementary School Students

Niemiec, Richard; Walberg, Herbert J. – Journal of Educational Computing Research, 1987
Critical examination of reviews of the literature on computer-assisted instruction (CAI) compares and evaluates three traditional and 13 quantitative reviews. Synthesis of the findings indicates that typical effect of CAI is to raise outcome measures by 0.42 standard deviation units, placing average students at 66th percentile of control group…
Descriptors: Classification, Comparative Analysis, Computer Assisted Instruction, Instructional Effectiveness

Peled, Zimra; And Others – Journal of Educational Computing Research, 1992
Proposes a taxonomy to aid decision makers in selecting computer software consistent with their educational values regarding the nature of instruction and the use of information technology, based on beliefs about human development and learning. Characteristics of instruction, properties of software, and the congruence between them are discussed.…
Descriptors: Algorithms, Classification, Computer Assisted Instruction, Computer Software
Fox, Eric J.; Sullivan, Howard J. – Journal of Educational Computing Research, 2007
The purpose of this study was to compare traditional classification training for a set of abstract concepts with multiple-relations training consisting of inference practice and the use of a content diagram. To examine this, 200 undergraduate and graduate psychology students completed a Web-based tutorial covering the abstract concepts of a…
Descriptors: Classification, Psychology, Internet, Higher Education