1. Adjei S, Ostrow K, Erickson, E, Heffernan N (2017) Clustering students in ASSISTments: exploring system and school-level traits to advance personalization. In: Proceedings of the 10th international conference on Educational Data Mining, Hubei Province, China
2. Baker RS (2019) Challenges for the future of educational data mining: the Baker learning analytics prizes. J Educ Data Mining 11(1):1–17. https://doi.org/10.5281/zenodo.3554745
3. Bakhshi H, Downing J, Osborne M, Schneider P (2017). The future of skills: employment in 2030. Pearson and Nesta. https://futureskills.pearson.com/research/assets/pdfs/technical-report.pdf
4. Buolamwini J, Gebru T (2018) Gender shades: Intersectional accuracy disparities in commercial gender classification. In: Proceedings of the 1st conference on fairness, accountability and transparency, New York, NY. http://proceedings.mlr.press
5. CAST (2018) Universal design for learning guidelines. Version 2.2. https://udlguidelines.cast.org/