669
Views
2
CrossRef citations to date
0
Altmetric
Articles

Justifying, contextualising and operationalising performance indicators of learning and teaching: the role of theories and practice of learning and teaching

ORCID Icon

References

  • Ambrose, S.A., Bridges, M.W., DiPietro, M., Lovett, M.C. & Norman, M.K., 2010, How Learning Works. Seven research-based principles for smart teaching (San Francisco, Jossey-Bass).
  • Anderson, L.W., Krathwohl, D.R., Airasian, P.W., Cruikshank, K.A., Mayer, R.E., Pintrich, P.R., Raths, J. & Wittrock, M.C., 2001, A Taxonomy for Learning, Teaching, and Assessing. A revision of Bloom’s ‘Taxonomy of Educational Objectives’ (New York, Addison Wesley Longman).
  • Arnold, R., 2015, How to Teach Without Instructing. 29 Rules for clever teaching. The LENA model [in German] (Heidelberg, Carl Auer).
  • Behn, R.D., 2003, ‘Why measure performance? Different purposes require different measures’, Public Administration Review, 63(5), pp. 586–606.
  • Brigandt, B., 2010, ‘Scientific reasoning is material inference: combining confirmation, discovery, and explanation’, International Studies in the Philosophy of Science, 24(1), pp. 31–43.
  • Chalmers, D., 2008, Indicators of University Teaching and Learning Quality (Strawberry Hills, Australian Learning and Teaching Council).
  • Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B. & Osher, D., 2020, ‘Implications for educational practice of the science of learning and development’, Applied Developmental Science, 24(2), pp. 97–140.
  • Du Toit-Brits, C., 2018, ‘Towards a transformative and holistic continuing self-directed learning theory’, South African Journal of Higher Education, 32(4), pp. 51–65.
  • Du Toit-Brits, C., 2019, ‘A focus on self-directed learning: the role that educators’ expectations play in the enhancement of students’ self-directedness’, South African Journal of Education, 39(2), pp. 1–10.
  • Feller, I., 2011, ‘The promises and limitations of performance measures’, in Olson, S. & Merrill, S. (Eds.), 2011, Measuring the Impacts of Federal Investments in Research. A workshop summary, pp. 7–17 (Washington, D.C., The National Academies Press).
  • Fry, H., Ketteridge, S. & Marshall, S., 2009, A Handbook for Teaching and Learning in Higher Education. Enhancing academic practice (London, Routledge).
  • Gagné, R.M., Wager, W.W., Goals, K. & Keller, J.M., 2004, Principles of Instructional Design (Boston, Cengage Learning).
  • Gardner, H., 2011, Frames of Mind. The theory of multiple intelligences (New York, Basic Books).
  • Harvey, L. & Knight, P.T., 1996, Transforming Higher Education (Buckingham, Society for Research into Higher Education/Open University Press).
  • ICTs in Education (ICTIE), 2006, ‘Unit 2. Learning theories’ (Dublin, Trinity College Dublin). Available at https://www.tcd.ie/Education/ICT/unit02/explanation03b.htm (accessed 1 April 2021).
  • Illeris, K. (Ed.), 2018a, Contemporary Theories of Learning (London, Routledge).
  • Illeris, K., 2018b, ‘A comprehensive understanding of human learning’, in Illeris, K. (Ed.), 2018a, Contemporary Theories of Learning, pp. 1–14 (London, Routledge).
  • John, O.P., Naumann, L.P. & Soto, C.J., 2008, ‘Paradigm shift to the integrative big five trait taxonomy’, Handbook of Personality: Theory and research, 3, pp. 114–58.
  • Kim, L.E., Jörg, V. & Klassen, R.M., 2019, ‘A meta-analysis of the effects of teacher personality on teacher effectiveness and burnout’, Educational Psychology Review, 31, pp. 163–95.
  • Knowles, M.S., 1975, Self-directed Learning. A guide for learners and teachers (Chicago, Follett).
  • Leiber, T., 2016, ‘Personality development as elemental educational goal. Methodological options of implementation and assessment in higher education’ [in German], die hochschullehre. Interdisziplinäre Zeitschrift für Studium und Lehre, 2 2016, 21 p. Available at http://www.hochschullehre.org/wp-content/files/diehochschullehre_2016_leiber.pdf (accessed 1 April 2021).
  • Leiber, T., 2019a, ‘A general theory of learning and teaching and a related comprehensive set of performance indicators for higher education institutions’, Quality in Higher Education, 25(1), pp. 76–97.
  • Leiber, T., 2019b, ‘Organizational change and development through quality management in higher education institutions: theory, practice, and recommendations for change agents’, in Hamlin, R.G., Ellinger, A.D. & Jones, J. (Eds.), 2019, Evidence-Based Initiatives for Organizational Change and Development, pp. 316–41 (Hershey, IGI Global).
  • Lodge, J.M. & Bonsanquet, A., 2014, ‘Evaluating quality learning in higher education: re-examining the evidence’, Quality in Higher Education, 20(1), pp. 3–23.
  • Mezirow, J., 1997, ‘Transformative learning: theory to practice’, New Directions for Adult and Continuing Education, 74, pp. 5–12.
  • Mayring, P., 2020, ‘Qualitative content analysis: demarcation, varieties, developments’, Forum: Qualitative Social Research 20(3), Art. 16. Available at https://www.qualitative-research.net/index.php/fqs/article/view/3343/4557 (accessed 1 April 2021).
  • Miller, G.A. 1956. ‘The magical number seven, plus or minus two: some limits on our capacity for processing information’, The Psychological Review, 63, pp. 81–97.
  • Reiss, J., 2012, ‘Causation in the sciences: an inferentialist account’, Studies in History and Philosophy of Biological and Biomedical Sciences, 43(4), pp. 769–77.
  • Secolsky, C. & Denison, B. (Eds.), 2018, Handbook on Measurement, Assessment and Evaluation in Higher Education (New York, Routledge).
  • Sustainable Quality Enhancement in Higher Education Learning and Teaching (SQELT-PI), 2020, ‘Performance indicator set IV for learning and teaching (in higher education)’, Erasmus+ Strategic Partnership SQELT. Available at https://www.evalag.de/fileadmin/dateien/pdf/forschung_international/sqelt/Intellectual_outputs/sqelt_perfindicset4_o9_201127_final_sec.pdf (accessed 1 April 2021).
  • Tang, Y.Y., 2017, Brain-Based Learning and Education: Principles and practice (London, Academic Press).
  • Taylor, J., 2014, ‘Informing or distracting? Guiding or driving? The use of performance indicators in higher education’, in Menon, M.E., Terkla, D.G. & Gibbs, P. (Eds.), 2014, Using Data to Improve Higher Education, pp. 7–24 (Dordrecht, Sense).
  • United Nations Educational, Scientific and Cultural Organization (UNESCO), 2017, Education for Sustainable Development Goals. Learning Objectives (Paris, UNESCO).
  • Whiteley, S., 2016, ‘Creating a coherent performance indicator framework for the higher education student lifecycle in Australia’, in Pritchard, R.M.O., Pausits, A. & Williams, J. (Eds.), 2016, Positioning Higher Education Institutions. From here to there, pp. 99–124 (Dordrecht, Sense).
  • Yarkova, T. & Cherp, A., 2013, ‘Managing the sacred? Perspectives on teaching excellence and learning outcomes from an international postgraduate university’, European Journal of Higher Education, 3(1), pp. 24–39.
  • Yorke, M., 1998, ‘Performance indicators relating to student development: can they be trusted?’, Quality in Higher Education, 4(1), pp. 45–61.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.