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Sarcona, Alessandra; Kovacs, Laura; Wright, Josephine; Williams, Christine – American Journal of Health Education, 2017
Background: Weight gain and lifestyle behaviors during college may contribute to future health problems. This population may not have sufficient self-monitoring skills to maintain healthy lifestyle behaviors. Purpose: The purpose of this study was to determine the relationship between usages of mobile health applications (apps) designed to track…
Descriptors: Handheld Devices, Computer Oriented Programs, Eating Habits, Physical Activity Level
Beal, Carole R.; Rosenblum, L. Penny – Journal of Visual Impairment & Blindness, 2018
Introduction: The authors examined a tablet computer application (iPad app) for its effectiveness in helping students studying prealgebra to solve mathematical word problems. Methods: Forty-three visually impaired students (that is, those who are blind or have low vision) completed eight alternating mathematics units presented using their…
Descriptors: Instructional Effectiveness, Handheld Devices, Computer Oriented Programs, Visual Impairments
Harris, Robert V.; King, Stephanie B. – Community College Journal of Research and Practice, 2016
The purpose of this study was to see if a relationship existed between American College Testing (ACT) scores (i.e., English, reading, mathematics, science reasoning, and composite) and student success in a computer applications course at a Mississippi community college. The study showed that while the ACT scores were excellent predictors of…
Descriptors: College Entrance Examinations, Standardized Tests, Scores, Predictor Variables
Harris, Robert V. – ProQuest LLC, 2014
In this educational study, the research problem was that each semester a variable number of community college students are unable to complete an introductory computer applications course at a community college in the state of Mississippi with a successful course letter grade. Course failure, or non-success, at the collegiate level is a negative…
Descriptors: Standardized Tests, Scores, Computer Science Education, Success
Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment
van der Burg, Eeke; de Leeuw, Jan – 1988
A non-linear version of redundancy analysis is introduced. The technique is called REDUNDALS. It is implemented within the computer program for canonical correlation analysis called CANALS. The REDUNDALS algorithm is of an alternating least square (ALS) type. The technique is defined as minimization of a squared distance between criterion…
Descriptors: Algorithms, Attitude Measures, Computer Oriented Programs, Correlation