Skip to main content

Advertisement

Log in

Psychosocial environment and affective outcomes in technology-rich classrooms: testing a causal model

  • Published:
Social Psychology of Education Aims and scope Submit manuscript

Abstract

Research investigated classroom environment antecedent variables and student affective outcomes in Australian high schools. The Technology-Rich Outcomes-Focused Learning Environment Inventory (TROFLEI) was used to assess 10 classroom environment dimensions: student cohesiveness, teacher support, involvement, investigation, task orientation, cooperation, equity, differentiation, computer usage and young adult ethos. A sample of 4,146 high school students from Western Australia and Tasmania responded to the TROFLEI and three student outcome measures: attitude to the subject, attitude to computer use and academic efficacy. Confirmatory factor analysis using LISREL supported the 10 scale a priori structure of the instrument. Structural equation modeling using LISREL was used to test a postulated model involving antecedent variables, classroom environment and outcomes. The modeling indicated that: improving classroom environment has the potential to improve student outcomes, antecedents did not have any significant direct effect on outcomes, and academic efficacy mediated the effect of several classroom environment dimensions on attitude to subject and attitude to computer use.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Adolphe F.S.G., Fraser B.J., Aldridge J.M. (2003) A cross-national study of classroom environment and attitudes among junior secondary science students in Australia and Indonesia. In: Fisher D.L., Marsh T.(eds) Science, mathematics and technology education for all: Proceedings of the Third International Conference on Science, Mathematics and Technology Education. Curtin University of Technology, Perth Australia, pp 435–446

    Google Scholar 

  • Aldridge J.M., Fraser B.J. (2000) A cross-cultural study of classroom learning environments in Australia and Taiwan. Learning Environments Research 3: 101–134 doi: 10.1023/A:1026599727439

    Article  Google Scholar 

  • Allen D., Fraser B.J. (2007) Parent and student perceptions of classroom learning environment and its association with student outcomes. Learning Environments Research 10: 67–82. doi:10.1007/s10984-007-9018-z

    Article  Google Scholar 

  • Azimioara, M., & Fraser, B. J. (2007, April). The effect of extended instructional time on learning environment, achievement, and attitudes in middle schools algebra classes. Paper presented at the annual meeting of the American Educational Research Association, Chicago.

  • Bacharach S.B., Bauer S.C., Conley S. (1986) Organizational analysis of stress: The case of elementary and secondary schools. Work and Occupations 13: 7–32. doi:10.1177/0730888486013001002

    Article  Google Scholar 

  • Bain J.D., McNaught C., Mills C., Lueckenhausen G. (1998) Describing computer-facilitated learning environments in higher education. Learning Environments Research 1: 163–180. doi:10.1023/A:1009905832421

    Article  Google Scholar 

  • Barcia, R., & Fraser, B. J. (2006, April). Science students’ attitudes and learning environments during the transition from middle school to high school. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.

  • Boy A.V., Pine G.J. (1988) Fostering psychosocial development in the classroom. Charles C. Thomas, Springfield, IL

    Google Scholar 

  • Byrne B.M. (1994) Burnout: Testing for the validity, replication, and invariance of causal structure across elementary, intermediate and secondary teachers. American Educational Research Journal 31: 645–673

    Google Scholar 

  • Byrne B.M. (1998) Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications and programming. Erlbaum, Mahwah, NJ

    Google Scholar 

  • Campbell, M. E., & Fraser, B. J. (2006, April). The effectiveness of using hands-on activities in terms of learning environment, achievement and attitudes in secondary mathematics. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.

  • Claiborne, T. T., & Ellett, C. D. (2005, April). Classroom and home learning environment contributions to eighth grade students’ academic self-efficacy beliefs in mathematics. Paper presented at the annual meeting of the American Educational Research Association.

  • Cohen J. (1977) Statistical power analysis for the behavioral sciences (Rev. ed). Academic, New York

    Google Scholar 

  • Dellar, G., Cavanagh, R., & Romanoski, J. (2006, April). Measuring and modelling associations between information and communication technology learning with classroom learning culture. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.

  • Doppelt Y. (2006) Teachers’ and pupils’ perceptions of science-technology learning environments. Learning Environments Research, 9: 163–178. doi:10.1007/s10984-006-9005-9

    Article  Google Scholar 

  • Dorman J.P. (2001) Associations between classroom environment and academic efficacy. Learning Environments Research, 4: 243–257. doi:10.1023/A:1014490922622

    Article  Google Scholar 

  • Dorman J.P. (2002) Classroom environment research: Progress and possibilities. Queensland Journal of Educational Research, 18: 112–140

    Google Scholar 

  • Dorman J.P. (2003) Cross national validation of the What is Happening in This Class questionnaire using confirmatory factor analysis. Learning Environments Research, 6: 231–245. doi:10.1023/A:1027355123577

    Article  Google Scholar 

  • Dorman J.P. (2008a) Conducting statistical tests with data from clustered school samples. International Journal of Research and Method in Education, 31: 113–124. doi:10.1080/17437270802124368

    Article  Google Scholar 

  • Dorman J.P. (2008b) The effect of clustering on statistical tests conducted with classroom environment data. Educational Psychology, 28: 583–595. doi:10.1080/01443410801954201

    Article  Google Scholar 

  • Dorman, J. P. (in press). Using student perceptions to compare actual and preferred classroom environment in Queensland schools. Educational Studies.

  • Dorman J.P., Adams J.E., Ferguson J.M. (2002) Psychosocial environment and student self-handicapping in secondary school mathematics classes: A cross-national study. Educational Psychology, 22: 499–511. doi:10.1080/0144341022000023590

    Article  Google Scholar 

  • Dorman J.P., Fisher D.L., Waldrip B.G. (2006) Learning environments, attitudes, efficacy and perceptions of assessment: A LISREL analysis. In: Fisher D.L., Khine M.S.(eds) Contemporary approaches to research on learning environments. World Views, Singapore, pp 1–28

    Google Scholar 

  • Fisher D.L., Fraser B.J. (1983) A comparison of actual and preferred classroom environment as perceived by science teachers and students. Journal of Research in Science Teaching, 20: 55–61. doi:10.1002/tea.3660200106

    Article  Google Scholar 

  • Fisher, D.L., Khine, M.S. (eds) (2006) Contemporary approaches to research on learning environments. World Scientific, Singapore

    Google Scholar 

  • Fisher D.L., Waldrip B.G. (2002) Measuring culturally sensitive factors of classroom learning environments with the CLEQ. In: Goh S.C., Khine M.S.(eds) Studies in educational learning environments: An international perspective. World Scientific, Singapore, pp 27–48

    Google Scholar 

  • Fraser B.J. (1981) Test of Science-Related Attitudes handbook (TOSRA). Australian Council for Educational Research, Melbourne, Australia

    Google Scholar 

  • Fraser B.J. (1990) Individualised classroom environment questionnaire. Australian Council for Educational Research, Melbourne

    Google Scholar 

  • Fraser B.J. (1994) Research on classroom and school climate. In: Gabel D.(eds) Handbook of research on science teaching and learning. Macmillan, New York, pp 493–541

    Google Scholar 

  • Fraser B.J. (1998a) Classroom environment instruments: Development, validity, and applications. Learning Environments Research, 1: 7–33. doi:10.1023/A:1009932514731

    Article  Google Scholar 

  • Fraser B.J. (1998b) Science learning environments: Assessments, effects and determinants. In: Fraser B.J., Tobin K.G.(eds) International handbook of science education. Kluwer, Dordrecht, The Netherlands, pp 527–564

    Google Scholar 

  • Fraser B.J. (2002) Learning environments research: Yesterday, today and tomorrow. In: Goh S.W., Khine M.S.(eds) Studies in educational learning environments: An international perspective. World Scientific, Singapore, pp 1–25

    Google Scholar 

  • Fraser, B. J., & Chionh, Y. H. (2000, April). Classroom environment, self-esteem, achievement, and attitudes in geography and mathematics in Singapore. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.

  • Fraser B.J., Walberg H.J., Welch W.W., Hattie J.A. (1987) Syntheses of educational productivity research. International Journal of Educational Research, 11: 145–252. doi:10.1016/0883-0355(87)90035-8

    Article  Google Scholar 

  • Goh, S. C., & Khine, M. S. (eds). (2002). Studies in educational learning environments: An international perspective. World Scientific, Singapore

    Google Scholar 

  • Goh S.C., Tobin K. (1999) Student and teacher perspectives in computer-mediated learning environments in teacher education. Learning Environments Research, 2: 169–190. doi:10.1023/A:1009921907828

    Article  Google Scholar 

  • Handelzalts A., van den Berg E., van Slochteren G., Verdonschot S. (2007) Preservice teachers’ perceptions of an ICT-rich learning environment: Development of an instrument. Learning Environments Research, 10: 131–144. doi:10.1007/s10984-007-9024-1

    Article  Google Scholar 

  • Jinks J.L., Morgan V. (1999) Children’s perceived academic self-efficacy: An inventory scale. Clearing House (Menasha, Wis.), 72: 224–230

    Google Scholar 

  • Jöreskog K.G., Sörbom D. (1993) LISREL 8: User’s reference guide. Scientific Software International, Chicago, IL

    Google Scholar 

  • Kelloway E.K. (1998) Using LISREL for structural equation modeling: A researcher’s guide. Sage, Thousand Oaks, CA

    Google Scholar 

  • Kerr C.R., Fisher D.L., Yaxley B.G., Fraser B.J. (2006) Studies of students’ perceptions in science classrooms at the post-compulsory level. In: Fisher D.L., Khine M.S.(eds) Contemporary approaches to research on learning environments. World Views, Singapore, pp 161–194

    Google Scholar 

  • Khine, M. S., & Fisher, D. L. (2001, December). Classroom environment and teachers’ cultural background in secondary science classes in an Asian context. Paper presented at the annual meeting of the Australian Association for Research in Education, Perth, Australia.

  • Khine, M.S., Fisher, D.L. (eds) (2003) Technology-rich learning environments: A future perspective. World Scientific, Singapore

    Google Scholar 

  • Kim H., Fisher D., Fraser B.J. (2000) Classroom environment and teacher interpersonal behaviour in secondary science classes in Korea. Evaluation and Research in Education, 14: 3–22

    Article  Google Scholar 

  • Koul R.B., Fisher D.L. (2006) A contemporary study of learning environments in Jammu, India. In: Fisher D.L., Khine M.S.(eds) Contemporary approaches to research on learning environments. World Views, Singapore, pp 273–296

    Google Scholar 

  • Kyriakides L. (2006) Measuring the learning environment of the classroom and its effect on cognitive and affective outcomes of schooling. In: Fisher D.L., Khine M.S.(eds) Contemporary approaches to research on learning environments. World Views, Singapore, pp 369–408

    Google Scholar 

  • Lajoie S.P. (1993) Computer environments as cognitive tools for enhancing learning. In: Lajoie S.P., Derry R.(eds) Computers as cognitive tools. Erlbaum, Hillsdale, NJ, pp 261–288

    Google Scholar 

  • Logan K.A., Crump B.J., Rennie L.J. (2006) Measuring the computer classroom environment: Lessons learned from using a new instrument. Learning Environments Research, 9: 67–93. doi:10.1007/s10984-005-9004-2

    Article  Google Scholar 

  • Margianti, E. S., Fraser, B. J., & Aldridge, J. M. (2001, April). Classroom environment and students’ outcomes among university computing students in Indonesia. Paper presented at the annual meeting of the American Educational Research Association, Seattle.

  • Marjoribanks K. (2004) Learning environments, family contexts, educational aspirations and attainment: A moderation-mediation model extended. Learning Environments Research, 6: 247–265. doi:10.1023/A:1027327707647

    Article  Google Scholar 

  • Moos R.H. (1979) Evaluating educational environments: Procedures, measures, findings and policy implications. Jossey Bass, San Francisco

    Google Scholar 

  • Mucherah W.M. (2003) The influence of technology on the classroom climate of social studies classrooms: A multidimensional approach. Learning Environments Research, 6: 37–57. doi:10.1023/A:1022903609290

    Article  Google Scholar 

  • Munck I.M.E. (1979) Model building in comparative education: Applications of the LISREL method to cross-national survey data. Almqvist & Wiksell, Stockholm

    Google Scholar 

  • Newhouse C.P. (2001) Development and use of an instrument for computer-supported learning environments. Learning Environments Research, 4: 115–138. doi:10.1023/A:1012411332666

    Article  Google Scholar 

  • Okan Z. (2008) Computing laboratory classes as language learning environments. Learning Environments Research, 11: 31–48. doi:10.1007/s10984-007-9035-y

    Article  Google Scholar 

  • Pearson, P., Fraser, B. J. (2006, April). Effectiveness of a school-based science facilitator in terms of classroom environment, attitudes toward science and self-efficacy. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.

  • Raaflaub, C. A., & Fraser, B. J. (2002, April). Investigating the learning environment in Canadian mathematics and science classes in which computers are used. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.

  • Saunders K.J., Fisher D.L. (2006) An action research approach with primary pre-service teachers to improve university and primary school classroom environments. In: Fisher D.L., Khine M.S.(eds) Contemporary approaches to research on learning environments. World Views, Singapore, pp 247–272

    Google Scholar 

  • Schofield J.W., Eurich-Fulcer R., Britt C.L. (1994) Teachers, computer tutors, and teaching: The artificially intelligent tutor as an agent for classroom change. American Educational Research Journal, 31: 579–607

    Google Scholar 

  • Schumacker R.E., Lomax R.G. (1996) A beginner’s guide to structural equation modeling. Erlbaum, Mahwah, NJ

    Google Scholar 

  • Sencen, J. (2006, April). Laboratory learning environments and attitudes among hearing-enabled and hearing-impaired high school chemistry students. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.

  • Telli S., Cakiroglu J., den Brok P. (2006) Turkish secondary education students’ perceptions of their classroom learning environment and their attitude towards biology. In: Fisher D.L., Khine M.S.(eds) Contemporary approaches to research on learning environments. World Views, Singapore, pp 517–542

    Google Scholar 

  • Temons, M. J. (2005). Efficacy of using technology in secondary science in terms of learning environments and student attitudes. Paper presented at the annual meeting of the American Educational Research Association, Montreal.

  • Thomas G.P. (2003) Conceptualisation, development and validation of an instrument for investigating the metacognitive orientation of science classroom learning environments: The Metacognitive Orientation Learning Environment Scale-Science (MOLES-S). Learning Environments Research, 6: 175–197

    Article  Google Scholar 

  • Walberg H.J. (1976) Psychology of learning environments: Behavioral, Structural, or perceptual?. Review of Research in Education, 4: 142–178

    Google Scholar 

  • Walberg H.J. (1991) Educational productivity and talent development. In: Fraser B.J., Walberg H.J.(eds) Educational environments: Evaluation, antecedents and consequences. Pergamon, London, pp 93–109

    Google Scholar 

  • Walker S.L., Fraser B.J. (2005) Development and validation of an instrument for assessing distance education learning environments in higher education: The Distance Education Learning Environments Survey (DELES). Learning Environments Research, 8: 289–308. doi:10.1007/s10984-005-1568-3

    Article  Google Scholar 

  • Webster B.J., Fisher D.L. (2004) School-level environment and student outcomes in mathematics. Learning Environments Research, 6: 309–326. doi:10.1023/A:1027383925394

    Article  Google Scholar 

  • Wolf, S. J., Fraser, B. J., & Aldridge, J. M. (2006, April). Learning environment and student attitudes and achievement in middle-school science classes using inquiry-based laboratory activities. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.

  • Wubbels, T., Levy, J. (eds) (1993) Do you know what you look like? Interpersonal relationships in education. Falmer, London

    Google Scholar 

  • Zandvliet D.B., Fraser B.J. (2004) Learning environments in information and communication technology classrooms. Technology Pedagogy and Education, 13: 97–124. doi:10.1080/14759390400200175

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jeffrey P. Dorman.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dorman, J.P., Fraser, B.J. Psychosocial environment and affective outcomes in technology-rich classrooms: testing a causal model. Soc Psychol Educ 12, 77–99 (2009). https://doi.org/10.1007/s11218-008-9069-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11218-008-9069-8

Keywords

Navigation