Abstract
Technology has become affordable and available for science teachers of all grade levels. This study presents the results of collecting attitudinal data from over 240 ninth grade physical science students prior to the integration of technology into their science curriculum. The data were evaluated utilizing a probabilistic model, which corrects for the nonlinearity of rating scale responses. Results indicate that surveyed students, on average, were supportive of the integration of a wide range of technology into their classroom. Although students were generally positive, they were statistically more supportive of activities that involved the sending of electronic messages to other students when a comparison was made to their attitudes toward the collecting of data with computer probes. The results suggest that physical science teachers may want to initiate the integration of technology into classes by first requiring students to use electronic mail to share data collected without the aid of a computer. This activity could, in turn, be followed by labs that require the collecting of data with computer probes and subsequent sharing of that data with other students through electronic mail.
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References
Andersen, E. B. (1973).Conditional Inference and Models for Measuring. Mentalhygiejnisk Forlag, Copenhagen.
Andersen, E. B. (1977). Sufficient statistics and latent trait models.Psychometrika 42: 69–81.
Andrich, D. (1982).An extension of the Rasch model for ratins providing both location and dispersion parameters.Psychometrika 47 (1): 105–113.
Barndorff-Nielsen, O. (1978).Information and Exponential Families in Statistical Theory, John Wiley & Sons, New York.
Bear, G. G., Richards, H. C., and Lancaster, P. (1987). Attitudes toward computers: Validation of a computer attitude scale.Journal of Educational Computer Research 3: 207–218.
Brienne, D., and Goldman, S. V. (1990). Network news.Science and Children 28 (1): 26–29.
Char, C. (1983). Research and design issues concerning the development of educational software for children. Technical report no. 14. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
Collins, B. (1984). The development of an instrument to measure attitudes of secondary school males and females toward compters. Unpublished doctoral dissertation, University of Victoria, Victoria, British Columbia, Canada.
Goddard, W. P., and Pereira-Mendoza, L. (1984). Three perspectives for computer applications in education.AEDS Journal 17: 14–23.
Hood, B. J. (1991). An integrated approach to teaching students the use of computers in science.Journal of Computers in Mathematics and Science Teaching 10(4): 27–34.
Kelley, P. R. (1979). Combined common person and common item equating of medical science examinations. Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco.
Kolodiy, G. O. (1991). Laboratory connections: Using LOGO in the science laboratory.Journal of Computers in Mathematics and Science Teaching 10(2): 107–111.
Lam, T. (1985). Software review: An MBL smorgasbord.Hands On! 8(1): 14–16.
Lehman, J. D., and Campbell, J. P. (1991). Microcomputer-based laboratories and computer networking high school science classrooms. Paper presented at the annual meeting of the National Association for Research in Science Teaching, Lake Geneva, Wisconsin.
Meyer, J. (1989). The logic of science—for ninth graders?Studies in Educational Evaluation 15(2): 193–205.
Minnesota Education Computing Corporation. (1979).Computer Awareness and Literacy Test, MECC, St Paul, Minnesota.
Mokros, J. R. (1985).The Impact of Microcomputer-Based Science Labs on Children's Graphing Skills, Technical Education Research Center, Cambridge, Massachusetts.
Podany, Z. (1990).Software for Middle School Physical Science, Northwest Regional Educational Lab. (Computer technology program), Portland, Oregon.
Pollard, J. (1987).Ideas for Integrating the Microcomputer into Science Instruction, Northwest Regional Educational Lab. (Computer technology program), Portland, Oregon.
Preece, P. F. W. (1979). Objective measurement in education: The Rasch model.School Science Review, 60: 770–773.
Rasch, G. (1968). A mathematical theory of objectivity and its consequences for model construction. In The Report from the European Meeting on Statistics, Econometrics and Management Sciences, Amsterdam.
Ross, S. M., Morrison, G. R., and Smith, L. J. (1990). An evaluation of alternative distance tutoring models for at-risk elementary school children.Computers in Human Behavior 6(3): 247–259.
Rost, J. (1988). Measuring attitudes with a threshold model drawing on a traditional scaling concept.Applied Psychological Measurement 12(4): 397–409.
Sievers, D. (1986). The game port connection.Science Teacher 53(6): 49–52.
Smith, S. D. (1987). Computer attitudes of teachers and students in relationship to gender and grade level.Journal of Educational Computing Research 3: 479–494.
Temple, L., and Lips, H. M. (1989).Reliability and generalizability of the Collins Attitudes Toward Computers Survey.Educational Research Quarterly 13(4): 6–9.
Thurstone, L. L. (1928). Attitudes can be measured.American Journal of Sociology 33: 529–554.
Tinker, R. F. (1985). Modeling and MBL: Software tools for science. Paper to be presented at the National Educational Computing Conference, San Diego, California.
Upitis, R. (1990). Real and contrived uses of electronic mail in elementary schools.Computers and Education 15(1–3): 233–243.
Vermette, S. M., Orr, R. R., and Hall, M. H. (1986). Aftitudes of elementary school students and teachers toward computers in education.Educational Technology 26(1): 41–47.
Vivian, V. (1986). Electronic mail in a children's distance course: Trial and evaluation.Distance Education 7(2): 237–260.
Walters, W. L. (1986). Commercial software for teaching physics. Paper presented at the joint meeting of the American Association of Physics Teachers and the American Physical Society, Atlanta, Georgia.
Wilson, M. (Ed.). (1992).Objective Measurement, Theory into Practice, Ablex Publishing, Norwood, New Jersey.
Wongbundhit, Y. (1985). Item banking procedure and quality control in Dade County public schools. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
Woodrow, J. (1991). A comparison of four computer attitude scales.Journal of Educational Computing Research 7: 165–187.
Wright, B. D., and Masters, G. N. (1982).Rating Scale Analysis. MESA Press, Chicago.
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Boone, W.J., Edson, J. Ninth graders' attitudes towards selected uses of technology. J Sci Educ Technol 3, 239–247 (1994). https://doi.org/10.1007/BF01575899
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DOI: https://doi.org/10.1007/BF01575899