Correlates of Achievement with Online and Classroom-based MBL Physics Activities
Article
David Slykhuis, James Madison University, United States ; John Park, North Carolina State University, United States
JCMST Volume 25, Number 2, ISSN 0731-9258 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
Students from five high schools participated in a two to four week microcomputer based laboratory (MBL) physics curriculum in two groups. One group completed the curriculum entirely online, and the other completed the same curriculum in a traditional classroom setting. Variables were collected to predict through correlations student success on a post-unit measure of physics ability. Traditional, literature suggested, variables such as math ability, physics aptitude and demographic information were combined with variables related to the mode of delivery of instruction. Several computer related variables, such as if students' had access to a computer at home and how often students' accessed the Internet were included in the models. Math ability and physics aptitude dominated the models regardless of the method of delivery of instruction. Computer related variables were included in the model for the online group, however, they were not significant.
Citation
Slykhuis, D. & Park, J. (2006). Correlates of Achievement with Online and Classroom-based MBL Physics Activities. Journal of Computers in Mathematics and Science Teaching, 25(2), 147-163. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 19, 2024 from https://www.learntechlib.org/primary/p/6105/.
© 2006 Association for the Advancement of Computing in Education (AACE)
Keywords
References
View References & Citations Map- Adair, R. K. (1991). Using quantitative measures to predict persistence in the natural sciences. College and University, 67(1), 73-79.
- Beichner, R. J. (1994). Testing student interpretation of kinematics graphs. American Journal of Physics, 62(8), 750-762.
- Beichner, R. J. (1998). Kinematics graph interpretation project. Retrieved February
- Campbell, N. J., & Williams, J. E. (1990). Relation of computer attitudes and computer attributions to enrollment in high school computer courses and self-perceived computer profi ciency. Journal of Research on Computing in Education, 22(3), 276-289.
- Champagne, A. B., & Klopfer, L. E. (1982). A causal model of students’ achievement in a college physics course. Journal of Research in Science Teaching, 19(4), 299-309.
- Collis, B. (1985). Sex differences in secondary school students’ attitudes toward computers. The Computing Teacher, 12(7), 33-36.
- DeBoer, G. E. (1985). Characteristics of male and female students who experienced success of failure in their fi rst college science course. Journal of Research in Science Teaching, 22(2), 153-162.
- Edge, O. P., & Friedberg, S. H. (1984). Factors affecting achievement in the fi rst course in calculus. The Journal of Experimental Education, 52(3), 136-140. Griffi th, W. T. (1985). Factors affecting performance in introductory physics courses. American Journal of Physics, 53(9), 839-842.
- Harackiewicz, J. M., Barron, K. E., Tauer, J. M., & Elliot, A. J. (2002). Predicting success in college: A longitudinal study of achievement goals and ability measures as predictors of interest and performance from freshman year through graduation. Journal of Educational Psychology, 94(3), 562-575. Hudson, H. T., & McIntire, W. R. (1977). Correlation between mathematical skills and success in physics. American Journal of Physics, 45(5), 470-471. Hudson, H. T., & Rottmann, R. M. (1981). Correlation between performance in physics and prior mathematics knowledge. Journal of Research in Science Teaching, 18(4), 291-294.
- Ignatz, M. (1982). Sex differences in predictive ability of tests of structure-ofintellect factors relative to a criterion examination of high school physics achievement. Educational and Psychological Measurement, 42(1), 353-360. Levin, J., & Wyckoff, J. (1988). Effective advising: Identifying students most likely to persist and succeed in engineering. Engineering Education, 78, 178-182.
- Margrain, S. A. (1978). Student characteristics and academic performance in higher education: A review. Research in Higher Education, 8(2), 111-123. McCammon, S., Golden, J., & Weunsch, K. L. (1988). Predicting course performance in freshman and sophomore physics courses: Women are more
- Moan, E. R., & Dereshiwsky, M. I. (2002). Identifying Factors that predict student engagement in web-based coursework. USDLA Journal, 16(1).
- Munday, L. A. (1970). Factors infl uencing the predictability of college grades. American Educational Research Journal, 7(1), 99-107.
- Noble, J. P., & Sawyer, R. L. (1989). Predicting grades in college freshman english and mathematics courses. Journal of College Student Development, 30. O’Halloran, P. M., & Russell, G. J. (1980). Assessment and prediction of success in fi rst year physics at an Australian university. Higher Education, 9, 529-547.
- Okpala, P., & Onocha, C. (1988). Student factors as correlates of achievement in physics. Physics Education, 23(6), 361-364.
- Slykhuis, D. A., & Banks, A. J. (2004). Online homework in a university chemistry class Predictors of success and results of modifi cations to ensure best educational practices. Paper presented at the National Association of Research in Science Education, Vancouver, BC.
- Sokoloff, D. R., & Thornton, R. K. (1998). Tools for scientifi c thinking: Motion and force. Beaverton, OR: Vernier Software & Technology.
- Tamir, P. (1987). Some factors which affect science achievement of high school seniors in Israel. Research in Science and Technological Education, 5(1), 69-92.
- Wang, A. Y., & Newlin, M. H. (2002). Predictors of web-student performance: The role of self-effi cacy and reasons for taking an on-line class. Computers in Human Behavior, 18(2), 151-163.
- Wollman, W., & Lawrenz, F. (1984). Identifying potential “dropouts” from college physics classes. Journal of Research in Science Teaching, 21(4), 385390.
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.
Suggest Corrections to References