Formative and stealth assessment

Handbook of Research on Educational Communications and Technology: Fourth Edition

Volumn , Issue , 2014, Pages 311-321

  Shute, Valerie J ^a   Kim, Yoon Jeon ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Competency; Evidence centered design (ECD); Formative assessment; Stealth assessment

Indexed keywords

EID: 85028042110     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-3185-5_3     Document Type: Chapter

References (44)

1. Almond, R. G., & Mislevy, R. J. (1999). Graphical models and computerized adaptive testing. Applied Psychological Measurement, 2 (3), 223-237.
2. Bangert-Drowns, R. L., Kulik, C. C., Kulik, J. A., & Morgan, M. T. (1991). The instructional effect of feedback in test-like events. Review of Educational Research, 61 (2), 213-238.
3. Black, P., Harrison, C., Lee, C., Marshall, B., & Wiliam, D. (2003). Assessment for learning: Putting it into practice. New York, NY:Open University Press.
4. Black, P., & Wiliam, D. (1998). Inside the black box: Raising standards through classroom assessment. Phi Delta Kappan, 80 (2), 139-148.
5. Bull, S., & Pain, H. (1995). "Did I say what I think I said, and do you agree with me?": Inspecting and questioning the student model. In J. Greer (Ed.), Proceedings of AI-ED'95-7th World Conference on Artificial Intelligence in Education (pp. 501-508). Virginia: AACE.
6. Chappius, S., & Chappius, J. (2008). The best value in formative assessment. Educational Leadership, 65 (5), 14-19.
7. Corbett, A. T., & Anderson, J. R. (1989). Feedback timing and student control in the LISP intelligent tutoring system. In D. Bierman, J. Brueker, & J. Sandberg (Eds.), Proceedings of the Fourth International Conference on Artificial Intelligence and Education (pp. 64-72). Amsterdam, The Netherlands: IOS Press.
8. Council of Chief State School Officers [CCSSO]. (2004). Indicators of quality of teacher professional development and instructional change using data from surveys of enacted curriculum: Findings from NSF MSP-RETA project. Washington, DC.
9. Csikszentmihalyi, M. (1990). Flow: The psychology of optical experience. New York, NY: Harper Perennial.
10. Elawar, M., & Corno, L. (1985). A factorial experiment in teachers' written feedback on student homework: Changing teacher behavior a little rather than a lot. Journal of Educational Psychology, 77 (2), 162-173.
11. Feng, M., Heffernan, N. T., & Koedinger, K. R. (2006). Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses. Paper presented at the 15th International Conference on World Wide Web, Edinburgh, Scotland.
12. Fuchs, L. S., Fuchs, D., Karns, K., Hamlett, C. L., Katzaroff, M., & Dutka, S. (1997). Effects of task-focused goals on low-achieving students with and without learning disabilities. American Educational Research Journal, 34 (3), 513-543.
13. Gustafson, K. L., & Branch, R. M. (2002). What is instructional design? In R. A. Reiser & J. V. Dempsey (Eds.), Trends and issues in instructional design and technology (pp. 16-25). Columbus, OH: Merrill Prentice Hall.
14. Hartley, D., & Mitrovic, A. (2002). Supporting learning by opening the student model. In S. Cerri, G. Gouarderes, & F. Paraguacu (Eds.), Proceedings 6th International Conference on Intelligent Tutoring Systems (pp. 453-462). Springer-Verlag London, UK.
15. Hindo, C., Rose, K., & Gomez, L. M. (2004). Searching for Steven Spielberg: Introducing iMovie to the high school English classroom:A closer look at what open-ended technology project designs can do to promote engaged learning. In Y. B. Kafai, W. A. Sandoval, N. Enyedy, A. S. Nixon, & F. Herrera (Eds.), Proceedings of the 6th International Conference on Learning Sciences (pp. 606-609). Mahwah, NJ: Erlbaum.
16. Hoska, D. M. (1993). Motivating learners through CBI feedback:Developing a positive learner perspective. In V. Dempsey & G. C. Sales (Eds.), Interactive instruction and feedback (pp. 105-132). Englewood Cliffs, NJ: Educational Technology Publications.
17. Jennings, J., & Rentner, D. S. (2006). Ten big effects of the no child left behind act on public schools. Phi Delta Kappan, 88 (2), 110-113.
18. Kay, J. (1998). A scrutable user modelling shell for user-adapted interaction (Doctoral thesis, University of Sydney, Sydney, Australia). Retrieved from http://sydney.edu.au/engineering/it/~judy/Homec/ Pubs/thesis.pdf.
19. Kim, C. (2007). Effects of motivation, volition and belief change strategies on attitudes, study habits and achievement in mathematics education. Doctoral dissertation, Florida State University, Tallahassee, FL.
20. Koedinger, K., McLaughlin, E., & Heffernan, N. (2010). A quasiexperimental evaluation of an on-line formative assessment and tutoring system. Journal of Educational Computing Research, 4, 489-510.
21. Lai, E. R. (2009). Interim assessment use in Iowa elementary schools (Doctoral thesis, University of Iowa, Iowa City, USA). Retrieved from http://ir.uiowa.edu/etd/393/.
22. Mislevy, R. J. (1994). Evidence and inference in educational assessment. Psychometrika, 59, 439-483.
23. Mislevy, R. J., Steinberg, L. S., & Almond, R. G. (2003). On the structure of educational assessment. Measurement: Interdisciplinary Research and Perspective, 1 (1), 3-62.
24. Popham, W. J. (2009). A process-Not a test. Educational Leadership, 66 (7), 85-86.
25. Ramaprasad, A. (1983). On the definition of feedback. Behavioural Science, 28 (1), 4-13.
26. Sadler, D. (1989). Formative assessment and the design of instructional systems. Instructional Science, 18 (2), 119-144.
27. Schwartz, D. L., Bransford, J. D., & Sears, D. L. (2005). Efficiency and innovation in transfer. In J. Mestre (Ed.), Transfer of learning from a modern multidisciplinary perspective (pp. 1-51). Greenwich, CT:Information Age Publishing.
28. Shute, V. J. (2007). Tensions, trends, tools, and technologies: Time for an educational sea change. In C. A. Dwyer (Ed.), The future of assessment: Shaping teaching and learning (pp. 139-187). New York, NY: Lawrence Erlbaum Associates.
29. Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78 (1), 153-189. doi: 10.3102/0034654307313795.
30. Shute, V. J. (2009). Simply assessment. International Journal of Learning and Media, 1 (2), 1-11. doi: 10.1162/ijlm.2009.0014.
31. Shute, V. J. (2011). Stealth assessment in computer-based games to support learning. In S. Tobias & J. D. Fletcher (Eds.), Computer games and instruction (pp. 503-524). Charlotte, NC: Information Age Publishers.
32. Shute, V. J., Graf, E. A., & Hansen, E. (2005). Designing adaptive, diagnostic math assessments for individuals with and without visual disabilities. In L. PytlikZillig, R. Bruning, & M. Bodvarsson (Eds.), Technology-based education: Bringing researchers and practitioners together (pp. 169-202). Greenwich, CT: Information Age Publishing.
33. Shute, V. J., Hansen, E. G., & Almond, R. G. (2008). You can't fatten a hog by weighing it-or can you? Evaluating an assessment for learning system called ACED. International Journal of Artificial Intelligence in Education, 18 (4), 289-316.
34. Shute, V. J., & Towle, B. (2003). Adaptive e-learning. Educational Psychologist, 38 (2), 105-114.
35. Shute, V. J., Ventura, M., Bauer, M. I., & Zapata-Rivera, D. (2009). Melding the power of serious games and embedded assessment to monitor and foster learning: Flow and grow. In U. Ritterfeld, M. Cody, & P. Vorderer (Eds.), Serious games: Mechanisms and effects (pp. 295-321). Mahwah, NJ: Routledge, Taylor and Francis.
36. Shute, V. J., & Zapata-Rivera, D. (2008). Adaptive technologies. In J. M. Spector, D. Merrill, J. van Merriënboer, & M. Driscoll (Eds.), Handbook of research on educational communications and technology (3rd ed., pp. 277-294). New York, NY: Lawrence Erlbaum Associates.
37. Shute, V. J., & Zapata-Rivera, D. (2010). Intelligent systems. In E. Baker, P. Peterson, & B. McGaw (Eds.), Third edition of the international encyclopedia of education (pp. 75-80). Oxford, UK:Elsevier.
38. Steinberg, L. S., & Gitomer, D. G. (1996). Intelligent tutoring and assessment built on an understanding of a technical problem-solving task. Instructional Science, 24, 223-258.
39. Stiggins, R. J. (2002). Assessment crisis: The absence of assessment for learning. Phi Delta Kappan, 83 (10), 758-765.
40. Symonds, K. W. (2004). After the test: Closing the achievement gaps with data. Naperville, IL: Learning Point Associates.
41. Wiliam, D. (2006). Does assessment hinder learning? Speech delivered at the ETS Europe Breakfast Salon. Retrieved from http://www. decs.sa.gov.au/adelaidehills/ files/links/williams_speech.pdf.
42. Wiliam, D., & Thompson, M. (2007). Integrating assessment with instruction: What will it take to make it work? In C. A. Dwyer (Ed.), The future of assessment: shaping teaching and learning. Mahwah, NJ: Lawrence Erlbaum Associates.
43. Zapata-Rivera, D., & Greer, J. E. (2004). Interacting with inspectable Bayesian models. International Journal of Artificial Intelligence in Education, 14, 127-163.
44. Zapata-Rivera, D., Vanwinkle, W., Shute, V. J., Underwood, J. S., & Bauer, M. (2007). English ABLE. In R. Luckin, K. Koedinger, & J. Greer (Eds.), Artificial intelligence in education-Building technology rich learning contexts that work (pp. 323-330). Amsterdam, The Netherlands: IOS Press.