The nature of assessment systems to support effective use of evidence through technology

E-Learning and Digital Media

Volumn 8, Issue 2, 2011, Pages 121-132

  Scalise, Kathleen ^a   Wilson, Mark ^b  

^a UNIVERSITY OF OREGON   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79959828115     PISSN: 17418887     EISSN: 20427530     Source Type: Journal    
DOI: 10.2304/elea.2011.8.2.121     Document Type: Article

References (26)

1. Almond, R.G., Steinberg, L.S. & Mislevy, R.J. (2002) A Four-Process Architecture for Assessment Delivery, with Connections to Assessment Design, Journal of Technology, Learning, and Assessment, 1(5). http://www.bc.edu/research/intasc/jtla/journal/v1n5.shtml
2. Binkley, M., Erstad, O., Herman, J., et al (2010) Assessment and Teaching of 21st Century Skills: defining 21st century skills. White Paper released at the Learning and Technology World Forum 2010, London.
3. Braun, H., Bejar, I.J. & Williamson, D.M. (2006) Rule-Based Methods for Automated Scoring: applications in a licensing context, in D.M. Williamson, R.J. Mislevy & I.J. Bejar (Eds) Automated Scoring of Complex Tasks in Computer-Based Testing. Mahwah, NJ: Lawrence Erlbaum.
4. Corcoran, T., Mosher, F.A. & Rogat, A. (2009) Learning Progressions in Science: an evidence-based approach to reform. New York: Center on Continuous Instructional Improvement, Teachers College-Columbia University.
5. Drasgow, F., Luecht, R. & Bennett, R.E. (2006) Technology and Testing, in R.L. Brennan (Ed.) Educational Measurement, 4th edn, pp. 471-515. Westport, CT: Praeger.
6. Kulik, J.A. (2003) Effects of Using Instructional Technology in Elementary and Secondary Schools: what controlled evaluation studies say. Arlington, VA: SRI International.
7. Margolis, M.J. & Clauser, B.E. (2006) A Regression-Based Procedure for Automated Scoring of a Complex Medical Performance Assessment, in D.M. Williamson, I.J. Bejar & R.J. Mislevy (Eds) Automated Scoring of Complex Tasks in Computer-based Testing. Mahwah, NJ: Lawrence Erlbaum.
8. Messick, S. (1989) Validity, in R.L. Linn (Ed.) Educational Measurement, 3rd edn, pp. 13-103. New York: American Council on Education and Macmillan.
9. Mislevy, R.J., Almond, R.G. & Lukas, J.F. (2003) A Brief Introduction to Evidence-Centered Design. Los Angeles: CRESST.
10. Mislevy, R.J., Bejar, I.I., Bennett, R.E., Haertel, G.D. & Winters, F.I. (2008) Technology Supports for Assessment Design, in B. McGaw, E. Baker & P. Peterson (Eds) International Encyclopedia of Education, 3rd edn. Oxford: Elsevier.
11. Moore, A.H. (2007) The New Economy, Technology, and Learning Outcomes Assessment: answering calls for change entails meaningful assessments of technology-enabled learning, EDUCAUSE Quarterly, 30(3), 6-8.
12. National Research Council (2001) Knowing What Students Know: the science and design of educational assessment. Washington, DC: National Academy Press.
13. Perie, M., Marion, S. & Gong, B. (2009) Moving towards a Comprehensive Assessment System: a framework for considering interim assessments. Educational Measurement: Issues and Practice, 28(3), 5-13.
14. Robyler, M.D. (2006) Integrating Educational Technology into Teaching. Upper Saddle River, NJ: Pearson.
15. Scalise, K. (2007) Differentiated e-Learning: five approaches through instructional technology, International Journal of Learning Technology, 3(2), 169-182.
16. Scalise, K. (2010) The Influence and Impact of Technology on Educational Measurement. Invited Symposium at National Council on Measurement in Education (NCME), March 27, in Denver, CO.
17. Scalise, K. & Gifford, B.R. (2008) Innovative Item Types: intermediate constraint questions and tasks for computer-based testing. Paper presented at the National Council on Measurement in Education (NCME), session on 'Building Adaptive and Other Computer-Based Tests', May 1, in New York.
18. Scalise, K., Madhyastha, T., Minstrell, J. & Wilson, M. (2010) Improving Assessment Evidence in e-Learning Products: some solutions for reliability, International Journal of Learning Technology [Special Issue: Assessment in e-Learning], 5(2), 4-44.
19. Schum, D.A. (1987) Evidence and Inference for the Intelligence Analyst. Lanham, MD: University Press of America.
20. US Department of Education (2010) Draft National Education Technology Plan. http://www.ed.gov/technology/netp-2010
21. Wilson, M. (2003) The Technologies of Assessment. Invited presentation at the AEL National Research Symposium, 'Toward a National Research Agenda for Improving the Intelligence of Assessment through Technology', April, in Chicago.
22. Wilson, M. (2005) Constructing Measures: an item response modeling approach. Mahwah, NJ: Lawrence Erlbaum.
23. Wilson, M. & Sloane, K. (2000) From Principles to Practice: an embedded assessment system, Applied Measurement in Education, 13(2), 181-208.
24. Wilson, M., Bejar, I., Scalise, K., et al (2010a) Assessment and Teaching of 21st Century Skills: perspectives on methodological issues. White Paper presented at the Learning and Technology World Forum 2010, London.
25. Wilson, M., Bejar, I., Scalise, K., et al (2010b) 21st-Century Measurement for 21st-Century Skills. Paper presented at the American Educational Research Association Annual Meeting, April 30, in Denver, CO.
26. Zechner, K., Higgins, D., Xiaoming, X. & Williamson, D. (2009) Automatic Scoring of Non-Native Spontaneous Speech in Test of Spoken English, Speech Communication, 51, 883-895.