Abstract
IT-based assessment has been advancing rapidly, and its growth is set to accelerate with emerging opportunities for automatic data collection as well as increased possibilities of communication and interaction mediated by IT. In this chapter we aim to present an overview of the range of different opportunities for IT to support assessment. We identify and discuss challenges for moving toward a situation where IT-based assessment can serve learners’ needs as well as the broader needs of the educational system for evaluation. We examine theories related to assessment more generally as well as specifically to IT-enabled assessment and review recent research and development. Scenarios for IT-enabled assessments may take many different forms, some of which hold much promise for supporting learning, but there are theoretical, developmental, technical, and human challenges to be overcome. Our vision is for IT-based assessment design to move forward with designers, teachers, and learners working together to design assessments that support twenty-first-century curricula and pedagogy. In this shared endeavor, we expect that data can be collected and represented to enable learners and teachers to identify achievements; collate evidence of those achievements; diagnose needs, both cognitive and affective; and decide on suitable pedagogical approaches for enabling the next steps in learning. We argue that open assessment resources provide a vehicle for enabling the large-scale developments that are needed to support the development of IT-enabled assessment across the broad spectrum of learning. Some of the more complex twenty-first-century skills of collaboration, problem-solving, critical thinking, etc. present particular challenges. We envisage that it may take many years for our vision to be realized. In the medium term, the need is to integrate IT-enabled assessments where appropriate alongside more traditional methods including teacher assessment.
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Abramovich, S., Schunn, C., & Higashi, R. M. (2013). Are badges useful in education?: It depends upon the type of badge and expertise of learner. Educational Technology Research and Development, 61(2), 217–232. https://doi.org/10.1007/s11423-013-9289-2.
Ahmed, A., & Pollitt, A. (2010). The support model for interactive assessment. Assessment in Education: Principles, Policy & Practice, 17(2), 133–167.
Assessment Reform Group, A. (2002). Assessment for Learning: 10 Principles. https://www.aaia.org.uk/content/uploads/2010/06/Assessment-for-Learning-10-principles.pdf.
Bellotti, F., Kapralos, B., Lee, K., Moreno-Ger, P., & Berta, R. (2013). Assessment in and of serious games: An overview. Advances in Human-Computer Interaction, 2013, 1–11. https://doi.org/10.1155/2013/136864.
Bennett, R. E. (2011). Formative assessment: A critical review. Assessment in Education: Principles, Policy & Practice, 18(1), 5–25.
Bennett, R. E. (2015). The changing nature of educational assessment. Review of Research in Education, 39(1), 370–407. https://doi.org/10.3102/0091732x14554179.
Black, P. (2012). Formative and summative aspects of assessment: Theoretical and research foundations in the context of pedagogy. In SAGE handbook of research on classroom assessment (p. 167). London: SAGE.
Black, P. (2015). Formative assessment – An optimistic but incomplete vision. Assessment in Education: Principles, Policy & Practice, 22(1), 161–177. https://doi.org/10.1080/0969594x.2014.999643.
Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education, 5(1), 7–74.
Black, P., & Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability, 21, 5–31. https://doi.org/10.1007/s11092-008-9068-5.
Brown, G. T. L., & Gao, L. (2015). Chinese teachers’ conceptions of assessment for and of learning: Six competing and complementary purposes. Cogent Education, 2(1), 993836. https://doi.org/10.1080/2331186x.2014.993836.
Carless, D., & Lam, R. (2014). Developing assessment for productive learning in Confucian-influenced settings. In C. Wyatt-Smith, V. Klenowski, & P. Colbert (Eds.), Designing assessment for quality learning (pp. 167–179). Dordrecht: Springer Netherlands.
Chan, C. K. (2012). Co-regulation of learning in computer-supported collaborative learning environments: A discussion. Metacognition and Learning, 7(1), 63–73. https://doi.org/10.1007/s11409-012-9086-z.
Chang, H. Y., Wang, C. Y., Lee, M. H., Wu, H. K., Liang, J. C., Lee, S. W. Y., ... Tsai, C. C. (2015). A review of features of technology-supported learning environments based on participants’ perceptions. Computers in Human Behavior, 53, 223–237. https://doi.org/10.1016/j.chb.2015.06.042.
Cheng, M. (2016). Strategies for introducing the particle view of matters: Cognitive conflicts, practical activities, multiple representations and assessment for learning. Paper presented at the East-Asian Association for Science Education Conference, Tokyo, 26th–28th August.
Coll, C., Rochera, M. J., & de Gispert, I. (2014). Supporting online collaborative learning in small groups: Teacher feedback on learning content, academic task and social participation. Computers & Education, 75, 53–64. https://doi.org/10.1016/j.compedu.2014.01.015.
Cross, S., Whitelock, D., & Galley, R. (2014). The use, role and reception of open badges as a method for formative and summative reward in two massive open online courses. International Journal of e-Assessment, 4(1). https://ijea.org.uk/index.php/journal/article/view/72.
Dann, R. (2014). Assessment as learning: Blurring the boundaries of assessment and learning for theory, policy and practice. Assessment in Education: Principles, Policy & Practice, 21(2), 149–166. https://doi.org/10.1080/0969594x.2014.898128.
Dewey, J. (1913). Interest and effort in education. Boston: Houghton Mifflin.
Dweck, C. S. (2000). Self-theories: Their role in motivation, personality and development. London: Taylor & Francis.
Fulton, B. A. (2016). The relationship between test anxiety and standardized test scores. (PhD), Walden University, Retrieved from http://scholarworks.waldenu.edu/cgi/viewcontent.cgi?article=3361&context=dissertations.
Gibson, D. C., & Webb, M. E. (2015). Data science in educational assessment. Education and Information Technologies, 20(4), 697–713. https://doi.org/10.1007/s10639-015-9411-7.
Gibson, D. C., Webb, M. E., & Forkosh-Baruch, A. (2012). Global perspectives on information and communications technology and educational assessment. Paper presented at the IFIP Working Conference: Addressing educational challenges – The role of ICT, Manchester Metropolitan University, Manchester.
Gibson, D., Ostashewski, N., Flintoff, K., Grant, S., & Knight, E. (2013). Digital badges in education. Education and Information Technologies, 20(2), 403–410. https://doi.org/10.1007/s10639-013-9291-7.
Gibson, D. C., Ifenthaler, D., & Orlic, D. (2016). Open assessment resources for deeper learning. In P. Blessinger & T. J. Bliss (Eds.), Open education: International perspectives in higher education (pp. 257–279). Cambridge: Open Book Publishers.
Hadwin, A. F., Oshige, M., Gress, C. L. Z., & Winne, P. H. (2010). Innovative ways for using gStudy to orchestrate and research social aspects of self-regulated learning. Computers in Human Behavior, 26, 794–805.
Harlen, W., & Deakin Crick, R. (2002). A systematic review of the impact of summative assessment and tests on students’ motivation for learning. Retrieved from London: http://eppi.ioe.ac.uk/cms/Default.aspx?tabid=108.
Harlen, W., & James, M. (1997). Assessment and learning: Differences and relationships between formative and summative assessment. Assessment in Education: Principles, Policy & Practice, 4(3), 365–379. https://doi.org/10.1080/0969594970040304.
Hattie, J. A. C. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Abingdon: Routledge.
Ifenthaler, D. (2012). Determining the effectiveness of prompts for self-regulated learning in problem-solving scenarios. Journal of Educational Technology & Society, 15(1), 38–52.
Ifenthaler, D. (2014). Toward automated computer-based visualization and assessment of team-based performance. Journal of Educational Psychology, 106(3), 651–665. https://doi.org/10.1037/a0035505.
Ifenthaler, D. (2015). Learning analytics. In J. M. Spector (Ed.), The SAGE encyclopedia of educational technology (Vol. 2, pp. 447–451). Thousand Oaks: Sage.
Ifenthaler, D., Pirnay-Dummer, P., & Seel, N. M. (Eds.). (2010). Computer-based diagnostics and systematic analysis of knowledge. New York: Springer.
Järvelä, S., & Hadwin, A. F. (2013). New frontiers: Regulating learning in CSCL. Educational Psychologist, 48(1), 25–39.
Jarvela, S., Jarvenoja, H., & Veermans, M. (2008). Understanding the dynamics of motivation in socially shared learning. International Journal of Educational Research, 47(2), 122–135.
Johnson, W. L., & Lester, J. C. (2016). Face-to-face interaction with pedagogical agents, twenty years later. International Journal of Artificial Intelligence in Education, 26(1), 25–36. https://doi.org/10.1007/s40593-015-0065-9.
Jovanovic, J., & Devedzic, V. (2015). Open badges: Novel means to motivate, scaffold and recognize learning. Technology, Knowledge and Learning, 20(1), 115. https://doi.org/10.1007/s10758-014-9232-6.
Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in massive open online courses. Computers & Education, 104, 18–33. https://doi.org/10.1016/j.compedu.2016.10.001.
Lee, I., & Coniam, D. (2013). Introducing assessment for learning for EFL writing in an assessment of learning examination-driven system in Hong Kong. Journal of Second Language Writing, 22(1), 34–50. https://doi.org/10.1016/j.jslw.2012.11.003.
Lenhard, W., Baier, H., Hoffmann, J., & Schneider, W. (2007). Automatic scoring of constructed-response items with latent semantic analysis. Diagnostica, 53(3), 155–165. https://doi.org/10.1026/0012-1924.53.3.155.
Mah, D.-K., Bellin-Mularski, N., & Ifenthaler, D. (2016). Moving forward with digital badges in education. In D. Ifenthaler, N. Bellin-Mularski, & D.-K. Mah (Eds.), Foundations of digital badges and micro-credentials (pp. 511–517). New York: Springer.
Messick, S. (1994). The interplay of evidence and consequences in the validation of performance assessments. Educational Researcher, 23(2), 13–23. https://doi.org/10.3102/0013189x023002013.
Mislevy, R. J., Steinberg, L. S., & Almond, R. G. (2003a). On the structure of educational assessment. Measurement: Interdisciplinary Research and Perspective, 1(1), 3–62.
Mislevy, R. J., Almond, R. G., & Lukas, J. F. (2003b). A Brief Introduction to Evidence-Centered Design. ETS Research Report Series, 2003(1), i–29. https://doi.org/10.1002/j.2333-8504.2003.tb01908.x.
Ozel, M., Caglak, S., & Erdogan, M. (2013). Are affective factors a good predictor of science achievement? Examining the role of affective factors based on PISA 2006. Learning and Individual Differences, 24, 73–82. https://doi.org/10.1016/j.lindif.2012.09.006.
Perrenoud, P. (1998). From formative assessment to a controlled regulation of learning processes. Towards a wider conceptual field. Assessment in Education, 5(1), 85–102. https://doi.org/10.1080/0969595980050105.
Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451–502). San Diego: Academic.
PISA. (2017). PISA 2015 Collaborative Problem-Solving Framework. Retrieved from http://www.oecd.org/pisa/pisaproducts/Draft%20PISA%202015%20Collaborative%20Problem%20Solving%20Framework%20.pdf.
Puzziferro, M. (2008). Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level online courses. American Journal of Distance Education, 22(2), 72–89. https://doi.org/10.1080/08923640802039024.
Rissanen, M. J., Kume, N., Kuroda, Y., Kuroda, T., Yoshimura, K., & Yoshihara, H. (2008). Asynchronous teaching of psychomotor skills through VR annotations: Evaluation in digital rectal examination. Studies in Health Technology and Informatics, 132, 411–416.
Sadler, D. R. (2010). Beyond feedback: Developing student capability in complex appraisal. Assessment & Evaluation in Higher Education, 35(5), 535–550. https://doi.org/10.1080/02602930903541015.
Shulman, L. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14.
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: Information Age Publishers.
Shute, V. J., Leighton, J. P., Jang, E. E., & Chu, M.-W. (2016). Advances in the science of assessment. Educational Assessment, 21(1), 34–59. https://doi.org/10.1080/10627197.2015.1127752.
Stiggins, R. J. (1995). Assessment literacy for the 21st century. Phi Delta Kappan, 77, 238–245.
Stödberg, U. (2012). A research review of e-assessment. Assessment & Evaluation in Higher Education, 37(5), 591–604. https://doi.org/10.1080/02602938.2011.557496.
Suen, H. K. (2014). Peer assessment for massive open online courses (MOOCs). The International Review of Research in Open and Distributed Learning, 15(3), 312.
Turkay, S., & Tirthali, D. (2010). Youth leadership development in virtual worlds: A case study. Procedia – Social and Behavioral Sciences, 2(2), 3175–3179. https://doi.org/10.1016/j.sbspro.2010.03.485.
Ucan, S., & Webb, M. E. (2015). Social regulation of learning during collaborative inquiry learning in science: How does it emerge and what are its functions? International Journal of Science Education, 37, 2503. https://doi.org/10.1080/09500693.2015.1083634.
Voogt, J., Erstad, O., Dede, C., & Mishra, P. (2013). Challenges to learning and schooling in the digital networked world of the 21st century. Journal of Computer Assisted Learning, 29(5), 403–413. https://doi.org/10.1111/jcal.12029.
Vygotsky, L. S. (1986). Thought and language. Cambridge, MA: MIT Press.
Webb, M. E. (2010). Beginning teacher education and collaborative formative e-assessment. Assessment and Evaluation in Higher Education, 35(5), 597–618.
Webb, M. E. (2014). Pedagogy with information and communications technologies in transition. Education and Information Technologies, 19(2), 275–294. https://doi.org/10.1007/s10639-012-9216-x.
Webb, M. E., & Gibson, D. C. (2015). Technology enhanced assessment in complex collaborative settings. Education and Information Technologies, 20(4), 675–695. https://doi.org/10.1007/s10639-015-9413-5.
Webb, M. E., & Jones, J. (2009). Exploring tensions in developing assessment for learning. Assessment in Education: Principles, Policy & Practice, 16(2), 165–184. https://doi.org/10.1080/09695940903075925.
Webb, M. E., Gibson, D. C., & Forkosh-Baruch, A. (2013). Challenges for information technology supporting educational assessment. Journal of Computer Assisted Learning, 29(5), 451–462. https://doi.org/10.1111/jcal.12033.
Wiliam, D. (2011). What is assessment for learning? Studies In Educational Evaluation, 37(1), 3–14. https://doi.org/10.1016/j.stueduc.2011.03.001.
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 (pp. 53–82). Mahwah: Lawrence Erlbaum Associates.
Winne, P. H., & Hadwin, A. F. (2008). The weave of motivation and self-regulated learning. Motivation and self-regulated learning: Theory, research, and applications (pp. 297–0314). Mahwah: Lawrence Erlbaum Associates.
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Webb, M., Ifenthaler, D. (2018). Assessment as, for, and of Twenty-First-Century Learning Using Information Technology: An Overview. In: Voogt, J., Knezek, G., Christensen, R., Lai, KW. (eds) Second Handbook of Information Technology in Primary and Secondary Education . Springer International Handbooks of Education. Springer, Cham. https://doi.org/10.1007/978-3-319-53803-7_37-1
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