Introduction to the Minitrack on Learning Analytics - Sara Willermark; Galina Deeva; Maria Óskarsdóttir; Anna Sigridur Islind (57th Hawaii International Conference on System Sciences, HICSS 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, 2024)

Introduction to the Minitrack on Learning Analytics - Anna Sigridur Islind; Sara Willermark; Maria Óskarsdóttir; Galina Deeva (56th Hawaii International Conference on System Sciences, HICSS 2023, Maui, Hawaii, USA, January 3-6, 2023, 2023)

Predicting student performance using sequence classification with time-based windows - Galina Deeva; Johannes De Smedt; Cecilia Saint-Pierre; Richard Weber; Jochen De Weerdt (Expert Syst. Appl., 2022)

Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking - Galina Deeva; Johannes De Smedt; Jochen De Weerdt (IEEE Trans. Learn. Technol., 2022)

Introduction to the Minitrack on Learning Analytics - Sara Willermark; Maria Óskarsdóttir; Anna Sigridur Islind; Galina Deeva (55th Hawaii International Conference on System Sciences, HICSS 2022, Virtual Event / Maui, Hawaii, USA, January 4-7, 2022, 2022)

Predicting student performance using sequence classification with time-based windows - Galina Deeva; Johannes De Smedt; Cecilia Saint-Pierre; Richard Weber; Jochen De Weerdt (CoRR, 2022)

A review of automated feedback systems for learners: Classification framework, challenges and opportunities - Galina Deeva; Daria Bogdanova; Estefanía Serral; Monique Snoeck; Jochen De Weerdt (Comput. Educ., 2021)

Introduction to the Minitrack on Learning Analytics - Galina Deeva; Sara Willermark; Anna Sigridur Islind; María Óskarsdóttir (54th Hawaii International Conference on System Sciences, HICSS 2021, Kauai, Hawaii, USA, January 5, 2021, 2021)

Mining Behavioral Sequence Constraints for Classification - Johannes De Smedt; Galina Deeva; Jochen De Weerdt (IEEE Trans. Knowl. Data Eng., 2020)

Predicting student success in a blended learning environment - Steven Van Goidsenhoven; Daria Bogdanova; Galina Deeva; Seppe vanden Broucke; Jochen De Weerdt; Monique Snoeck (LAK '20: 10th International Conference on Learning Analytics and Knowledge, Frankfurt, Germany, March 23-27, 2020, 2020)

Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo - Galina Deeva; Johannes De Smedt; Jochen De Weerdt; María Óskarsdóttir (Complex Networks and Their Applications VIII - Volume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Lisbon, Portugal, December 10-12, 2019, 2019)

Understanding Automated Feedback in Learning Processes by Mining Local Patterns - Galina Deeva; Jochen De Weerdt (Business Process Management Workshops - BPM 2018 International Workshops, Sydney, NSW, Australia, September 9-14, 2018, Revised Papers, 2018)

Discovering the Impact of Students' Modeling Behavior on their Final Performance - Galina Deeva; Monique Snoeck; Jochen De Weerdt (The Practice of Enterprise Modeling - 11th IFIP WG 8.1. Working Conference, PoEM 2018, Vienna, Austria, October 31 - November 2, 2018, Proceedings, 2018)

Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining - Galina Deeva; Johannes De Smedt; Pieter De Koninck; Jochen De Weerdt (Business Process Management Workshops - BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers, 2017)

Behavioral Constraint Template-Based Sequence Classification - Johannes De Smedt; Galina Deeva; Jochen De Weerdt (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II, 2017)