cat curriculum analytics tool technology full details
Champion:
Zdenek Zdrahal
Emeritus Professor
Participant(s):Martin Hlosta
Timeline:01 Sep 2017
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CAT: Curriculum Analytics Tool
Application for faculty representatives to analyse the curriculum
CAT stands for Curriculum Analytics Tool. It is an application developed at KMi originally for STEM representatives to analyse the curriculum with the goal of being used at all the faculties. The system enables data oriented view of the qualifications and modules, combining financial data with retention and progression. This data is available in the visual analytics dashboard application. Our plan is to apply various analytics and machine learning techniques in order to provide deeper analysis of how students progress across the qualifications, where are the main issues and how to improve them.
Partners
- Lucia Rapanotti - STEM
- Maria Kantirou - STEM
Antonini, A. and Brooker, S. (2025). On the aesthetics of hypertext: a case study on names and a general framework. New Review of Hypermedia and Multimedia, 31(1-2), pp. 7–29. https://oro.open.ac.uk/99876/.
Benatti, F., Norrick-Rühl, C. and Antonini, A. (2021). Reading Popular Culture Offline and Online: Outlining a Comparative Study of Reading Experiences Between Webcomics and Twenty-First Century Book Club Choices. In: 2nd International Conference of the European Association for Digital Humanities, 21-25 Sep 2021, Russia. https://oro.open.ac.uk/91565/.
Antonini, A., Adamou, A., Suarez Figueroa, M.C. and Benatti, F. (2023). Experiential Observations: an Ontology Pattern-based Study on Capturing the Potential Content within Evidences of Experiences. Journal on Computing and Cultural Heritage, 16(3), https://oro.open.ac.uk/88479/.
Benatti, F., Vignale, F., Antonini, A. and King, E. (2023). Reading in Europe—Challenges and lessons learned from the case studies of the READ-IT project. Digital Scholarship in the Humanities, 38(2), pp. 477–481. https://oro.open.ac.uk/85900/.
Antonini, A. (2022). On Epistemic Comparability and Challenges on Data Reuse: The Experience of READ-IT. In: DH2022 book of abstracts, 25-29 Jul 2022, Japan. https://oro.open.ac.uk/82366/.
Antonini, A. and Benatti, F. (2022). Cultural Challenges of DH Reflecting on DH Waves. In: Digital Humanities Congress 2022, 8-11 Sep 2022, Sheffield, UK. https://oro.open.ac.uk/85330/.
Antonini, A., Vignale, F. and Gravier, G. (2020). READ-IT deliverable D2 - Model of the State of Mind V1. 7. The Open University. https://oro.open.ac.uk/76044/.
Benatti, F. and Antonini, A. (2021). Into the Macroscope: Systematic integration of micro- and macro-scale study of digital reading. In: The 17th IGEL Conference, 23 Jun - 26 Jun 2021, University of Liverpool (Remote). https://oro.open.ac.uk/78902/.
Antonini, A., Benatti, F., Watson, N., King, E. and Gibson, J. (2021). Death and Transmediations: Manuscripts in the Age of Hypertext. In: 32nd ACM Conference on Hypertext and Social Media, HT 2021, 30 Aug - 2 Sep 2021, Virtual Event USA. https://oro.open.ac.uk/78374/.
Antonini, A. and Benatti, F. (2020). *ing the Written Word: Digital Humanities Methods for Book History. In: SHARP 2020: Power of the Written Word, 11-15 Jul 2020, Amsterdam. https://oro.open.ac.uk/74880/.
Antonini, A., Suárez-Figueroa, M.C., Adamou, A., Benatti, F., Vignale, F., Gravier, G. and Lupi, L. (2021). Understanding the phenomenology of reading through modelling. Semantic Web Journal, 12(2), pp. 191–217. https://oro.open.ac.uk/71956/.
Antonini, A., Brooker, S. and Benatti, F. (2020). Circuits, Cycles, Configurations: an Interaction Model of Web Comics. In: The 13th International Conference on Interactive Digital Storytelling, 3-6 Nov 2020, Bournemouth, UK. https://oro.open.ac.uk/71578/.
Antonini, A. and Brooker, S. (2020). Mediation as Calibration: A Framework for Evaluating the Author/Reader Relation. In: Proceedings of the 31st ACM HyperText, 13-15 Jul 2020, Orlando, Florida, USA. https://oro.open.ac.uk/70782/.
Antonini, A., Benatti, F. and Blackburn-Daniels, S. (2020). On Links To Be: Exercises in Style #2. In: 31st ACM Conference on Hypertext and Social Media (HT’20), 13-15 Jul 2020, Online. https://oro.open.ac.uk/70781/.
Antonini, A., Vignale, F., Guillaume, G. and Brigitte, O.V. (2019). The Model of Reading: Modelling principles, Definitions, Schema, Alignments. READ-IT. https://oro.open.ac.uk/68546/.
Brinken, H., Kuchma, I., Kalaitzi, V., Davidson, J., Pontika, N., Cancellieri, M., Correia, A., Carvalho, J., Melero, R., Kastelic, D., Borba, F., Lenaki, K., Toelch, U., Zourou, K., Knoth, P., Schmidt, B. and Rodrigues, E. (2019). A Case Report: Building communities with training and resources for Open Science trainers. LIBER Quarterly, 29(1), pp. 1–36. https://oro.open.ac.uk/68608/.
Antonini, A., Gomez Mejia, G. and Lupi, L. (2019). All We Do is "Stalking": Studying New Forms of Reading in Social Networks. In: HyperText 2019, 17-20 Sep 2019, Hof, Germany. https://oro.open.ac.uk/62259/.
