Arnold, K. E. and Pistilli, M. D. (2012) ‘Course signals at Purdue: using learning analytics to increase student success’, in Proceedings of the 2nd International Conference on Learning Analytics and Knowledge – LAK ’12. Vancouver, British Columbia, Canada: ACM Press, pp. 267–270. doi: 10.1145/2330601.2330666.
Bachmann, G., Knecht, M. and Wittel, A. (2017) ‘The social productivity of anonymity’, Ephemera: Theory & Politics in Organization, 17(2), pp. 1–5. Available at: http://www.ephemerajournal.org/issue/social-productivity-anonymity.
Bawden, D. (2011) ‘Encountering on the road to Serendip? Browsing in new information environments’, Innovations in IR: Perspectives for theory and practice, pp. 1–22. doi: 10.17613/M6C377.
Bayne, S. (2015) ‘Teacherbot: interventions in automated teaching’, Teaching in Higher Education. Taylor & Francis, 20(4), pp. 455–467. doi: 10.1080/13562517.2015.1020783.
Bulger, M. (2016) Personalized Learning : The Conversations We ’ re Not Having. New York. Available at: https://datasociety.net/pubs/ecl/PersonalizedLearning_primer_2016.pdf.
Campbell, J. P., DeBlois, P. B. and Oblinger, D. G. (2007) ‘Academic Analytics’, Educause Review, 42(October), pp. 40–57. Available at: https://www.educause.edu/ir/library/pdf/pub6101.pdf.
Clow, D. (2012) ‘The learning analytics cycle’, in Proceedings of the 2nd International Conference on Learning Analytics and Knowledge – LAK ’12, p. 134. doi: 10.1145/2330601.2330636.
Gašević, D. et al. (2016) ‘Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success’, Internet and Higher Education, 28, pp. 68–84. doi: 10.1016/j.iheduc.2015.10.002.
Gašević, D., Dawson, S. and Siemens, G. (2015) ‘Let ’ s not forget : Learning analytics are about learning’, TechTrends, 59(1), pp. 64–71. doi: 10.1007/s11528-014-0822-x.
Greller, W. and Drachsler, H. (2012) ‘Translating learning into numbers: A generic framework for learning analytics’, Educational Technology and Society, 15(3), pp. 42–57. doi: http://hdl.handle.net/1820/4506.
Khalil, M. and Ebner, M. (2015) ‘Learning Analytics: Principles and Constraints’, World Conference on Educational Multimedia, Hypermedia and Telecommunications, (JUNE), pp. 1326–1336. doi: 10.13140/RG.2.1.1733.2083.
Khalil, M. and Ebner, M. (2016) ‘De-identification in learning analytics’, Journal of Learning Analytics, 3, pp. 129–138. doi: 10.18608/jla.2016.31.8.
Knight, P. T. (2001) ‘Complexity and Curriculum: A process approach to curriculum-making’, Teaching in Higher Education, 6(3), pp. 369–381. doi: 10.1080/13562510120061223.
Lang, C. et al. (2017) Handbook of Learning Analytics. 1st edn. Edited by C. Lang et al. Society for Learning Analytics Research. doi: 10.18608/hla17.
Leitner, P., Khalil, M. and Ebner, M. (2017) ‘Learning analytics in higher education—a literature review’, in Studies in Systems, Decision and Control, pp. 1–23. doi: 10.1007/978-3-319-52977-6_1.
Long, P. et al. (2011) LAK ’11 : proceedings of the 1st International Conference on Learning Analytics and Knowledge, February 27 – March 1, 2011, Banff, Alberta, Canada. ACM. Available at: https://dl.acm.org/citation.cfm?id=2090116 (Accessed: 19 November 2017).
Macfarlane, M. and Macfarlane, B. (2012) ‘Martin Trow: Twentieth-Century Higher Education: Elite to Mass to Universal – Edited by M. Burrage’, Higher Education Quarterly, 66(1), pp. 123–125. doi: 10.1111/j.1468-2273.2011.00508.x.
Makri, S. et al. (2014) ‘“Making my own luck”: Serendipity strategies and how to support them in digital information environments’, Journal of the Association for Information Science and Technology, 65(11), pp. 2179–2194. doi: 10.1002/asi.23200.
McBride, A. B. et al. (2017) ‘Building a mentoring network’, Nursing Outlook, 65(3), pp. 305–314. doi: 10.1016/j.outlook.2016.12.001.
Pickering, A. “Asian Eels and Global Warming: A Posthumanist Perspective on Society and the Environment.” Ethics & the Environment, vol. 10 no. 2, 2005, pp. 29-43. Project MUSE, doi:10.1353/een.2005.0023
Quinlan, K. (2011) Developing the whole student: Leading higher education initiatives that integrate mind and heart. London. Available at: https://www.learning.ox.ac.uk/media/global/wwwadminoxacuk/localsites/oxfordlearninginstitute/documents/overview/research/publications/Quinlan_Developing_2011.pdf
Quinton, S. and Smallbone, T. (2010) ‘Feeding forward: Using feedback to promote student reflection and learning – a teaching model’, Innovations in Education and Teaching International, 47(1), pp. 125–135. doi: 10.1080/14703290903525911.
Raghunathan, B. (2013) ‘The Complete Book of Data Anonymization: From Planning to Implementation’. CRC Press, p. 247.
Roberts, L. D. et al. (2016) ‘Student attitudes toward learning analytics in higher education: “The fitbit version of the learning world”’, Frontiers in Psychology, 7(DEC), pp. 1–11. doi: 10.3389/fpsyg.2016.01959.
Roscoe, R. D. and Chi, M. T. H. (2008) ‘Tutor learning: The role of explaining and responding to questions’, Instructional Science, 36(4), pp. 321–350. doi: 10.1007/s11251-007-9034-5.
Sclater, N. and Mullan, J. (2017) Jisc briefing: Learning analytics and student success – assessing the evidence, Effective Learning Analytics. Bristol. Available at: http://repository.jisc.ac.uk/6560/1/learning-analytics_and_student_success.pdf.
Selwyn, N. (2016) Education and Technlogy: Key Issues and Debates. 2nd edn, Bloomsbury Academic. 2nd edn. Edited by N. Selwyn. London and New York: Bloomsbury Academic.
Shacklock, X. (2016) From Bricks to clicks. The Potential of Data and Analytics in Higher Education. London. Available at: http://www.policyconnect.org.uk/hec/research/report-bricks-clicks-potential-data-and-analytics-higher-education (Accessed: 19 November 2017)
Shin, N. (2001) Beyond interaction: Transactional presence and distance learning. Available at: https://www.learntechlib.org/p/120695/ (Accessed: 19 November 2017).
Shin, N. (2002) ‘Beyond Interaction: The relational construct of “Transactional Presence”’, Open Learning: The Journal of Open, Distance and e-Learning, 17(2), pp. 121–137. doi: 10.1080/02680510220146887.
Siemens, G. (2010) 1st International Conference on Learning Analytics and Knowledge 2011 | Connecting the technical, pedagogical, and social dimensions of learning analytics, Call for Participation for LAK ’11. Available at: https://tekri.athabascau.ca/analytics/ (Accessed: 19 November 2017).
Siemens, G., Dawson, S. and Lynch, G. (2013) ‘Improving the quality and productivity of the higher education sector’, Policy and Strategy for Systems-Level Deployment of Learning Analytics. Canberra, Australia: Society for Learning Analytics Research for the Australian Office for Learning and Teaching, (December). Available at: https://pdfs.semanticscholar.org/d307/34019734c219f6ab83af3dcebfa39c9e8b84.pdf
Slade, S. and Prinsloo, P. (2013) ‘Learning Analytics: Ethical Issues and Dilemmas’, American Behavioral Scientist, 57(10), pp. 1510–1529. doi: 10.1177/0002764213479366.
Stephen, D., O’Connell, P. and Hall, M. (2008) ‘“Going the extra mile”, “fire-fighting”, or laissez-faire? Re-evaluating personal tutoring relationships within mass higher education1’, Teaching in Higher Education, 13(4), pp. 449–460. doi: 10.1080/13562510802169749.
Tegmark, M. (2017) Life 3.0 : being human in the age of artificial intelligence.
Thomas, L. (2012) Building Student Engagement And Belonging In Higher Education At A Time Of Change. A Summary Of Findings And Recommendations From The What Works? Student Retention & Success Programme. London. Available at: https://www.phf.org.uk/wp-content/uploads/2014/10/What-Works-Summary-report.pdf
Thomas, L. (2006) ‘Widening participation and the increased need for personal tutoring’, in Thomas, L. and Hixenbaugh, P. (eds) Personal tutoring in Higher Education. Trentham Books, pp. 21–31. Available at: https://repository.edgehill.ac.uk/62/ (Accessed: 19 November 2017)
Trow, M. (1973) Problems in the Transition from Elite to Mass Higher Education, International Review of Education. Berkeley, Calif.]: Carnegie Commission on Higher Education. Available at: https://eric.ed.gov/?id=ED091983.
Trow, M. A. (2005) ‘Reflections on the Transition from Elite to Mass to Universal Access: Forms and Phases of Higher Education in Modern Societies since WWII’, in Philip Altbach (ed.) International Handbook of Higher Education. Kluwer Academic Publishers, pp. 243–280. doi: 10.1007/978-1-4020-4012-2_13.
Winne, P. H. (2006) ‘How Software Technologies Can Improve Research on Learning and Bolster School Reform’, Educational Psychologist, 41(1), pp. 5–17. doi: 10.1207/s15326985ep4101_3.
Winne, P. H., Nesbit, J. C. and Popowich, F. (2017) ‘nStudy: A System for Researching Information Problem Solving’, Technology, Knowledge and Learning, 22(3), pp. 369–376. doi: 10.1007/s10758-017-9327-y.
A.1 – Images
A.2 – Videos
IBC 2017-Path to the Human Like Robot: Meet Sophia. – YouTube (2017). ExpovistaTV. Available at: https://www.youtube.com/watch?v=hiJvYQfzKn0 (Accessed: 19 November 2017).
nStudy – online educational tool – short tutorial – YouTube (2017). Yang. Available at: https://www.youtube.com/watch?v=x9jqO5k9aqU (Accessed: 19 November 2017).
Series: Personalized Learning « — e-Literate TV (no date). Available at: http://e-literate.tv/series/personalized-learning/ (Accessed: 19 November 2017).
Voices From the Field: Phil Winne – YouTube (2014). Data Analytics and Learning MOOC. Available at: https://www.youtube.com/watch?v=hNP_KjTAPnE (Accessed: 19 November 2017).