Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…

An investigation was carried out to examine the effects of cognitive style on learners' performance and interaction during complex problem solving with a computer modeling tool. One hundred and nineteen undergraduates volunteered to participate in the study. Participants were first administered a test, and based on their test scores they were…

This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…

Examines factors involved in decisions regarding adoption of microcomputers for administrative and instructional use in early childhood education. A study of 80 administrators in Illinois is described and analyzed that considered relevant past experiences, future expectancies, openness to change, and social support as decision-making influences.…

The purpose of this study was to examine how variables related to computer availability, computer comfort and educational software are associated with higher or lower levels of science literacy in the USA, Finland and Mexico, after controlling for the socio-economic status of the students. The analyses for this study were based on a series of…