참고문헌
- Frey, T. Communicating with the Future: How Re-engineering Intentions Will Alter the Master Code of Our Future, Da Vinci Institute Press, 2011.
- Papamitsiou, Z. and Economides, A.A. "Learning analytics and educational data mining in practice: A systematic literature review of empirical evidence, "Journal of Educational Technology & Society, Vol.17, No. 4, pp.49-64. 2014.
- 권영옥. "빅데이터를 활용한 맞춤형 교육 서비스 활성화 방안연구. 한국지능정보시스템학회 학술대회논문집, pp. 90-96, 2013.
- Meehl, P..E. Clinical versus statistical prediction: A theoretical analysis and a review of the evidence. MN, US: University of Minnesota Press. 1954.
- 정윤혁, 빅데이터와 교육분석 (Education Analytics). 미디어와 교육, 제5권, 제1호, pp.44-49, 2015.
- Ferguson, R. "Learning analytics: drivers, developments and challenges," International Journal of Technology Enhanced Learning, Vol.4, No.5/6, pp. 304-317, 2012. https://doi.org/10.1504/IJTEL.2012.051816
- Siemens, G. and Long, P. "Penetrating the Fog: Analytics in Learning and Education. EDUCAUSE Review, Vol.46, No.5, pp. 31-40, 2011.
- https://blog.simonassociates.net/what-makes-arizona-state-university-the-most-innovative-college-in-the-us
- http://www.sr.ithaka.org/publications/building-a-pathway-to-student-success-at-georgia-state-university.
- Shahiri, A. M. and Husain, W. "A review on predicting student's performance using data mining techniques," Procedia Computer Science, Vol.72, pp. 414-422, 2015. https://doi.org/10.1016/j.procs.2015.12.157
- Iqbal, Z., Qadir, J., Mian, A.N. and Kamiran, F. "Machine learning based student grade prediction: A case study," arXiv preprint arXiv:1708.08744, 2017.
- Manouselis, N., Drachsler, H., Verbert, K., and Santos, O.C. (Eds.). Recommender Systems for Technology Enhanced Learning: Research Trends and Applications. Springer Science & Business Media, 2014.
- Park, Y. "A Recommender System for Personalized Exploration of Majors, Minors, and Concentrations," In RecSys Posters, 2017.
- Elbadrawy A, Polyzou A, Ren Z, Sweeney M, Karypis G., and Rangwala H. "Predicting student performance using personalized analytics," Computer, Vol.49, No.4, pp:61-69, 2016. https://doi.org/10.1109/MC.2016.119
- Boyer, S. and Veeramachaneni, K. "Transfer Learning for Predictive Models in Massive Open Online Courses," In International conference on artificial intelligence in education, pp. 54-63, 2015.
- 최기성, 조민수 "대학 명성이 졸업생 취업 질에 미치는 효과와 시사점", 조사연구, 제17권, 제2호, 119-162, 2016.
- 염동기, 문상규, 박성수. "대학졸업자의 취업성과 결정요인에 관한 실증분석," 취업진로연구. 제7권, 제4호, pp.45-68, 2017.
- 김종율, 노광현. "AI 를 활용한 대학생 진로조언 시스템 모델 및 데이터 수집과 융합에 대한 연구," 디지털융복합연구, 제17권, 제2호, pp. 177-185, 2019. https://doi.org/10.14400/jdc.2019.17.2.177
- Rienties, B., Cross, S., and Zdrahal, Z. Implementing a learning analytics intervention and evaluation framework: What works?. In Big data and learning analytics in Higher Education (pp. 147-166). Springer, Cham, 2017.