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Polanin, Joshua R.; Hennessy, Emily A.; Tanner-Smith, Emily E. – Journal of Educational and Behavioral Statistics, 2017
Meta-analysis is a statistical technique that allows an analyst to synthesize effect sizes from multiple primary studies. To estimate meta-analysis models, the open-source statistical environment R is quickly becoming a popular choice. The meta-analytic community has contributed to this growth by developing numerous packages specific to…
Descriptors: Meta Analysis, Open Source Technology, Computer Software, Effect Size
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
Tucker, Stephen I.; Lommatsch, Christina W.; Moyer-Packenham, Patricia S.; Anderson-Pence, Katie L.; Symanzik, Jürgen – International Journal of Research in Education and Science, 2017
The purpose of this study was to examine patterns of mathematical practices evident during children's interactions with touchscreen mathematics virtual manipulatives. Researchers analyzed 33 Kindergarten children's interactions during activities involving apps featuring mathematical content of early number sense or quantity in base ten, recorded…
Descriptors: Kindergarten, Teaching Methods, Manipulative Materials, Educational Technology
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
Resnick, Ilyse; Verdine, Brian; Golinkoff, Roberta; Hirsh-Pasek, Kathy – Grantee Submission, 2016
Preschoolers' experiences with shapes are important because geometry is foundational to aspects of mathematics and it is now part of the Common Core for school-readiness. Exposure to shapes also provides experiences that are key to developing spatial thinking more broadly. Yet achieving a strong conceptual understanding of geometric categories can…
Descriptors: Geometry, Geometric Concepts, Mathematics, Mathematics Instruction
Küçük, Sevda; Kapakin, Samet; Göktas, Yüksel – Anatomical Sciences Education, 2016
Augmented reality (AR), a new generation of technology, has attracted the attention of educators in recent years. In this study, a MagicBook was developed for a neuroanatomy topic by using mobile augmented reality (mAR) technology. This technology integrates virtual learning objects into the real world and allow users to interact with the…
Descriptors: Anatomy, Medical Education, Undergraduate Students, Medical Students
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

Borg, Ingwer; Staufenbiel, Thomas – Multivariate Behavioral Research, 1992
The representation of multivariate data by icons is discussed. The factorial sun is suggested as superior to the commonly used snowflake or sun icons and as better representing the values of the different variables and their correlational structure. Two experiments with 60 college students demonstrate the factorial sun's superiority. (SLD)
Descriptors: College Students, Comparative Analysis, Computer Oriented Programs, Correlation
Abadzi, Helen – Journal of College Student Personnel, 1980
International student admissions in universities can be facilitated by multivariate statistical procedures. On the basis of existing data on student characteristics, predictions can be made regarding performance of applicants. These predictions consider personal variables, knowledge of English, and various indicators of academic performance.…
Descriptors: Academic Aptitude, Admission Criteria, College Admission, Computer Oriented Programs

Peterson, Gary W.; And Others – Computers in Human Behavior, 1994
Describes a study of undergraduate students that was conducted to compare the effectiveness of three computer-assisted career guidance (CACG) systems in terms of their contribution to career decision making and the attitudes of students regarding the helpfulness of CACG. Evaluation standards are discussed, and measurement techniques are explained.…
Descriptors: Career Choice, Career Information Systems, Comparative Analysis, Computer Oriented Programs