Thematic analysis of individual feedback: Improving cohort feedforward

Richard Edward Meredith

Abstract


Is there a practical way to identify academic at-risk students before the start of term? Or is there no alternative but to look for in-class cues and formative assessment patterns or even wait to mark summative submissions after the term is over? This conference reflection essay offers a potential contribution to answering those questions. It suggests Turnitin assessment text data be make visible rather than remaining unseen, unnoticed, and therefore unactionable (Bienkowski et al., 2012). A poster presentation at the University of Greenwich Learning and Teaching festival 2019 became a transformative learning experience that led to Turnitin assessment data being conceived as a new data source for learning analytics, modelled using Activity Theory.


Keywords


Learning Theories; Learner Analytics

Full Text:

PDF

References


Baker, R.S. and Yacef, K. (2009) ‘The state of educational data mining in 2009: A review and future visions.’ JEDM| Journal of Educational Data Mining, 1, 3-17. Available at: https://doi.org/10.5281/zenodo.3554657 (Accessed: 24 September 2019).

Bienkowski, M., Feng, M. and Means, B. (2012) ‘Enhancing teaching and learning through educational data mining and learning analytics: An issue brief.’ US Department of Education, Office of Educational Technology, 1-57. Available at: https://mobile.eduq.info/xmlui/handle/11515/35829 (Accessed: 24 September 2019).

Creswell, J.W. and Poth, C.N. (2017) Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Thousand Oaks, California: Sage Publications. ISBN 978-1-5063-3019-8.

Denzin, N.K. (1989) Interpretive interactionism. Applied social research methods series. Newbury Park, CA: Sage Publications. ISBN 9780761915140.

Engestrom, Y. (1999) 23 Innovative learning in work teams: Analyzing cycles of knowledge creation in practice. Perspectives on activity theory. Cambridge: Cambridge University Press. ISBN 0-521-43730-X.

Hofstede, G. (1983) ‘The cultural relativity of organizational practices and theories.’ Journal of International Business Studies 14, 75. Available at: https://doi.org/10.1057/palgrave.jibs.8490867 (Accessed: 2 September 2019).

Illeris, K. (ed.) (2018) Contemporary theories of learning: learning theorists... in their own words. (Second edition.) Milton Park, Abingdon, Oxon: Routledge. ISBN 978-1-138-55049-0.

Jonassen, D.H. and Rohrer-Murphy, L. (1999) ‘Activity theory as a framework for designing constructivist learning environments.’ Educational Technology Research and Development 47, 61-79. Available at: https://doi.org/10.1007/BF02299477 (Accessed: 25 September 2019).

Lewin, K. (1943) ‘Defining the field at a given time.’ Psychological review. Available at: https://doi.org/10.1037/h0062738 (Accessed: 15 January 2016).

Mezirow, J. (2003) ‘Transformative learning as discourse.’ Journal of transformative education 1, 58-63. Available at: https://doi.org/10.1177/1541344603252172 (Accessed: 28 September 2019).

Mezirow, J. (2000) Learning as Transformation: Critical Perspectives on a Theory in Progress. The Jossey-Bass Higher and Adult Education Series. ERIC. San Francisco, CA: Jossey-Bass ISBN ISBN-0-7879-4845-4.

Mezirow, J. (1997), Transformative Learning: Theory to Practice. New Directions for Adult and Continuing Education, 1997: 5-12. doi:10.1002/ace.7401 (Accessed: 28 September 2019).

Neuman, W.L. (2006.) Analysis of qualitative data in Social research methods: Qualitative and quantitative approaches. Thousand Oaks, CA: Sage, 457-489.

Nicol, D., Thomson, A. and Breslin, C. (2014) ‘Rethinking feedback practices in higher education: a peer review perspective.’ Assessment & Evaluation in Higher Education, 39, 102-122. Available at: https://doi.org/10.1080/02602938.2013.795518 (Accessed: 12 November 2019).

Romero, C. and Ventura, S. (2010) ‘Educational data mining: a review of the state of the art.’ IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 40, 601-618. Available at: https://doi.org/10.1109/TSMCC.2010.2053532 (Accessed: 24 September 2019).

Trompenaars, A., Hampden-Turner, C. (2012) Riding the waves of culture : understanding diversity in global business. (Third edition) New York: McGraw-Hill. ISBN 0786311258.

Xing, W., Guo, R., Petakovic, E. and Goggins, S. (2015) ‘Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory.’ Computers in Human Behavior, 47, 168-181. Available at: https://doi.org/10.1016/j.chb.2014.09.034 (Accessed: 24 September 2019).

Yin, R.K. (2015) Qualitative research from start to finish. New York: Guilford Publications. ISBN 978-1-4625-1797-8.




DOI: https://doi.org/10.21100/compass.v13i1.1055

Refbacks

  • There are currently no refbacks.