Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. The privacy paradox and its implications for learning analytics

    Tsai, Y-S., Whitelock-Wainwright, A. & Gasevic, D., 23 Mar 2020, LAK '20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge. Association for Computing Machinery (ACM), p. 230-239 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. SHEILA: Supporting Higher Education to Intergrate Learning Analytics Research Report

    Tsai, Y-S., Gasevic, D., Whitelock-Wainwright, A., Muñoz-Merino, P. J., Moreno-Marcos, P. M., Rubio Fernández, A., Delgado Kloos, C., Scheffel, M., Jivet, I., Drachsler, H., Tammets, K., Calleja, A. R., Kollom, K., Haywood, J., Cantero, N., Gourdin, A., Kelo, M. & Benke-Åberg, R., 30 Nov 2018, Edinburgh, UK: The University of Edinburgh. 44 p.

    Research output: Book/ReportOther report

  3. The SHEILA framework: informing institutional strategies and policy processes of learning analytics

    Tsai, Y-S., Moreno-Marcos, P. M., Jivet, I., Scheffel, M., Tammets, K., Kollom, K. & Gasevic, D., 11 Dec 2018, In : Journal of Learning Analytics. 5, 3, p. 5-20 16 p.

    Research output: Contribution to journalArticle

  4. Complexity Leadership in Learning Analytics: Drivers, Challenges, and Opportunities

    Tsai, Y-S., Poquet, O., Gašević, D., Dawson, S. & Pardo, A., 21 Oct 2019, In : British Journal of Educational Technology. 50, 6, p. 2839–2854

    Research output: Contribution to journalArticle

  5. SHEILA policy framework: Informing institutional strategies and policy processes of learning analytics

    Tsai, Y-S., Moreno-Marcos, P. M., Tammets, K., Kollom, K. & Gasevic, D., 9 Mar 2018, Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK'18). Sydney: ACM Press, 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Empowering learners with personalised learning approaches? Agency, equity and transparency in the context of learning analytics

    Tsai, Y-S., Perrotta, C. & Gasevic, D., 2020, In : Assessment & Evaluation in Higher Education. 45, 4, p. 554-567 23 p.

    Research output: Contribution to journalArticle

  7. Blind source extraction of heart sound signals from lung sound recordings exploiting periodicity of the heart sound

    Tsalaile, T., Naqvi, S. M., Nazarpour, K., Sanei, S. & Chambers, J. A., 12 May 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), p. 461-464 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Pharmacological validation of individual animal locomotion, temperature and behavioural analysis in group-housed rats using a novel automated home cage analysis system: A comparison with the modified Irwin test

    Tse, K., Sillito, R., Keerie, A., Collier, R., Grant, C., Karp, N. A., Vickers, C., Chapman, K., Armstrong, J. D. & Redfern, W. S., 1 Apr 2018, In : Journal of Pharmacological and Toxicological Methods. 94, p. 1 - 13 13 p.

    Research output: Contribution to journalArticle

  9. State-dependent brainstem ensemble dynamics and their interactions with hippocampus across sleep states

    Tsunematsu, T., Patel, A., Onken, A. & Sakata, S., 14 Jan 2020, In : eLIFE. 9, 22 p., e52244.

    Research output: Contribution to journalArticle

  10. Probabilistic computation underlying sequence learning in a spiking attractor memory network

    Tully, P., Lindén, H., Hennig, M. H. & Lansner, A., 1 Jan 2013, In : BMC Neuroscience. 14, 2 p.

    Research output: Contribution to journalArticle