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This section refers to texts and articles by various authors that have served as the basis for the development of the Siette system and where the theories and techniques on which the system has been developed are explained. To facilitate its reading, it has been arranged in thematic relation. The objective of this section is not to develop an exhaustive bibliography on these topics, but simply to give some initial indications so that the interested reader can begin.

Educational assessment

  • Bejar, I. I. (1984). Educational diagnostic assessment. Journal of educational measurement, 21(2), 175-189.
  • Downing, S.M., Haladyna, T.M. (2006) Handbook of test development Lawrence Erbaum Associates publishers.
  • Mislevy, R. J., Almond, R. G., & Lukas, J. F. (2003). A brief introduction to evidence‐centered design. ETS Research Report Series, 2003(1). 1-29.
  • Mislevy, R. J., Behrens, J. T., Dicerbo, K. E., Frezzo, D. C., & West, P. (2012). Three things game designers need to know about assessment. In Assessment in game-based learning (pp. 59-81). Springer, New York, NY.
2022/05/13 20:01 · root

CLassical Test Theory

  • Abad, F. J., Olea, J., Ponsoda, V. y García, C (2011). Medición en ciencias sociales y de la salud. Madrid, España: Síntesis.
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Item Response Theory

  • Abad, F. J., Olea, J., Ponsoda, V. y García, C (2011). Medición en ciencias sociales y de la salud. Madrid, España: Síntesis.
  • Du Toit, M. (Ed.). (2003). IRT from SSI: Bilog-MG, multilog, parscale, testfact. Scientific Software International.
  • Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Sage.
  • Hambleton, R. K., & Swaminathan, H. (2013). Item response theory: Principles and applications. Springer Science & Business Media.
  • van der Linden, W. J., & Hambleton, R. K. (1997). Handbook of modern item response theory. Springer
  • Thiessen, D. (1991) Multilog User's Guide Version 6, Chicago, IL, USA:Scientific Software International.
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Cpomputer Adaptive Testing

  • Wainer, H., Dorans, N. J., Flaugher, R., Green, B. F., & Mislevy, R. J. (2000). Computerized adaptive testing: A primer. Routledge.
  • van der Linden, W. J., & Glas, C. A. (Eds.). (2000). Computerized adaptive testing: Theory and practice. Springer Science & Business Media.
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Artificial Intelligence in Education

  • Brusilovsky, P. (2012). Adaptive hypermedia for education and training. Adaptive technologies for training and education, 46, 46-68.
  • Desmarais, M. C., & d Baker, R. S. (2012). A review of recent advances in learner and skill modeling in intelligent learning environments. User Modeling and User-Adapted Interaction, 22(1), 9-38.
  • Irvine, S. H., & Kyllonen, P. C. (Eds.). (2013). Item generation for test development. Routledge.
  • Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582-599.
  • Zapata-Rivera, D., Hansen, E., Shute, V. J., Underwood, J. S., & Bauer, M. (2007). Evidence-based approach to interacting with open student models. International Journal of Artificial Intelligence in Education, 17(3), 273-303.
2022/05/13 20:01 · root
en/pub_biblio.txt · Last modified: 2022/06/14 09:03 by root

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