Students’ conceptions of eportfolios as assessment and technology

References

• Ayala, J. I. (2006). Electronic portfolios for whom? Educause Quarterly, 29, 12–13.
   Google Scholar
• Boud, D., & Soler, R. (2016). Sustainable assessment revisited. Assessment & Evaluation in Higher Education, 41, 400–413. doi:10.1080/02602938.2015.1018133
   Web of Science ®Google Scholar
• Brown, G. T. L. (2011). Self-regulation of assessment beliefs and attitudes: A review of the students’ conceptions of assessment inventory. Educational Psychology, 31, 731–748. doi:10.1080/01443410.2011.599836
   Web of Science ®Google Scholar
• Brown, G. T. L. (2013). Student conceptions of assessment across cultural and contextual differences: University student perspectives of assessment from Brazil, China, Hong Kong, and New Zealand. In G. A. D. Liem & A. B. I. Bernardo (Eds.), Advancing cross-cultural perspectives on educational psychology: A Festschrift for Dennis McInerney (pp. 143–167). Charlotte, NC: Information Age Publishing.
   Google Scholar
• Brown, G. T. L., & Hirschfeld, G. H. F. (2008). Students’ conceptions of assessment: Links to outcomes. Assessment in Education: Principles, Policy and Practice, 15, 3–17. doi:10.1080/09695940701876003
   Google Scholar
• Brown, G. T. L., Irving, S. E., Peterson, E. R., & Hirschfeld, G. H. F. (2009). Use of interactive-informal assessment practices: New Zealand secondary students’ conceptions of assessment. Learning and Instruction, 19, 97–111. doi:10.1016/j.learninstruc.2008.02.003
   Web of Science ®Google Scholar
• Brown, G. T. L., Peterson, E. R., & Irving, S. E. (2009). Beliefs that make a difference: Adaptive and maladaptive self-regulation in students’ conceptions of assessment. In D. M. McInerney, G. T. L. Brown, & G. A. D. Liem (Eds.), Student perspectives on assessment: What students can tell us about assessment for learning (pp. 159–186). Charlotte, NC: Information Age Publishing.
   Google Scholar
• Brown, G. T. L., & Wang, Z. (2013). Illustrating assessment: How Hong Kong university students conceive of the purposes of assessment. Studies in Higher Education, 38, 1037–1057. doi:10.1080/03075079.2011.616955
   Web of Science ®Google Scholar
• Brown, G. T. L., & Wang, Z. (2016). Understanding Chinese university student conceptions of assessment: Cultural similarities and jurisdictional differences between Hong Kong and China. Social Psychology of Education, 19, 151–173. doi:10.1007/s11218-015-9322-x
   Web of Science ®Google Scholar
• Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods & Research, 33, 261–304. doi:10.1177/0049124104268644
   Web of Science ®Google Scholar
• Cheng, S. I., Chen, S. C., & Yen, D. C. (2015). Continuance intention of E-portfolio system: A confirmatory and multigroup invariance analysis of technology acceptance model. Computer Standards & Interfaces, 42, 17–23.10.1016/j.csi.2015.03.002
   Web of Science ®Google Scholar
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159.10.1037/0033-2909.112.1.155
   PubMed Web of Science ®Google Scholar
• Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment Research & Evaluation, 10, 1–9.
   Google Scholar
• Courtney, M. G. R. (2013). Determining the number of factors to retain in EFA: Using the SPSS R-Menu v2.0 to make more judicious estimations. Practical Assessment, Research & Evaluation, 18, 1–14.
   Google Scholar
• Cummings, R., & Maddux, C. D. (2010). The use of e-portfolios as a component of assessment and accreditation in higher education. In N. Buzzetto-More (Ed.), The e-portfolio paradigm: Informing, educating, assessing and managing with e-portfolios (pp. 207–223). Santa Rosa, CA: Informing Science Press.
   Google Scholar
• Deneen, C. C. (2013). Eportfolios in a higher education context: Preliminary findings on assessment and technology issues. Journal of Information Systems Technology & Planning, 6, 17.
   Google Scholar
• Deneen, C. C., & Boud, D. (2014). Patterns of resistance in managing assessment change. Assessment & Evaluation in Higher Education, 39, 577–591.10.1080/02602938.2013.859654
   Web of Science ®Google Scholar
• Deneen, C., Brown, G. T., Bond, T. G., & Shroff, R. (2013). Understanding outcome-based education changes in teacher education: Evaluation of a new instrument with preliminary findings. Asia-Pacific Journal of Teacher Education, 41, 441–456.10.1080/1359866X.2013.787392
   Web of Science ®Google Scholar
• Deneen, C. C., & Shroff, R. (2014). Understanding successes and difficulties in program-level eportfolios: A case study of two professional degree programs. Review of Higher Education and Self-Learning, 7, 145–160.
   Google Scholar
• Fan, X., & Sivo, S. A. (2007). Sensitivity of fit indices to model misspecification and model types. Multivariate Behavioral Research, 42, 509–529.10.1080/00273170701382864
   Web of Science ®Google Scholar
• Lam, T. C. M., & Klockars, A. J. (1982). Anchor point effects on the equivalence of questionnaire items. Journal of Educational Measurement, 19, 317–322.10.1111/jedm.1982.19.issue-4
   Web of Science ®Google Scholar
• Macdonald, R., & Joughin, G. (2009). Changing assessment in higher education: A model in support of institution-wide improvement. In G. Joughin (Ed.), Assessment, learning and judgement in higher education (pp. 193–213). Dordrecht: Springer.
   Google Scholar
• Marsh, H. W., Wen, Z., & Hau, K. T. (2004). Structural equation models of latent interactions: Evaluation of alternative estimation strategies and indicator construction. Psychological Methods, 9, 275–300.10.1037/1082-989X.9.3.275
   PubMed Web of Science ®Google Scholar
• Ralston, A. (2015). ePortfolio development and the potential relationship to learning theories. In M. Ally & B. H. Khan (Eds.), International handbook of e-learning volume 2: Implementation and case studies (pp. 105). New York: Routledge.
   Google Scholar
• Redecker, C., & Johannessen, Ø. (2013). Changing assessment: Towards a new assessment paradigm using ICT. European Journal of Education, 48, 79–96.10.1111/ejed.12018
   Web of Science ®Google Scholar
• Sadler, D. R. (2010). Beyond feedback: Developing student capability in complex appraisal. Assessment & Evaluation in Higher Education, 35, 535–550.10.1080/02602930903541015
   Web of Science ®Google Scholar
• Shroff, R. H., Deneen, C. D., & Ng, E. M. (2011). Analysis of the technology acceptance model in examining students’ behavioural intention to use an e-portfolio system. Australasian Journal of Educational Technology, 27, 600–618.
   Web of Science ®Google Scholar
• Smith, C. D., Worsfold, K., Davies, L., Fisher, R., & McPhail, R. (2013). Assessment literacy and student learning: The case for explicitly developing students ‘assessment literacy’. Assessment & Evaluation in Higher Education, 38, 44–60. doi:10.1080/02602938.2011.598636
   Web of Science ®Google Scholar
• Teo, T. (2009). Modeling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52, 302–312.10.1016/j.compedu.2008.08.006
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27, 425–478.
   Web of Science ®Google Scholar
• Wang, Z., & Brown, G. T. L. (2014). Hong Kong tertiary students’ conceptions of assessment of academic ability. Higher Education Research & Development, 33, 1063–1077. doi:10.1080/07294360.2014.890565
   Web of Science ®Google Scholar
• Yang, M., Tai, M., & Lim, C. P. (2015). The role of e-portfolios in supporting productive learning. British Journal of Educational Technology, 47, 1276–1286. doi:10.1111/bjet.12316
   PubMed Web of Science ®Google Scholar