Name: Eric Nyambiriga Araka
Title/Qualifications:
PhD (Ongoing)
Department/Unit/Section: 
Computing and Information Technology
Contact Address: 
43844 – 00100, Nairobi
Position: 
Lecturer
Download Full CV

Area of Specialization:

 Artificial Intelligence

 Machine Learning

 Distributed Computing Technologies

Research Interests:

 Artificial Intelligence in Education

 Machine Learning

 Educational Data Mining & Learning Analytics

 Data Science & Analytics

 Technology Enhanced Learning

Referred Journals

1. Araka, E., Maina, E., Gitonga, R., Oboko, R., Kihoro, J. (2021). University Students’ Perception on the Usefulness of Learning Management System Features in Promoting Self-Regulated Learning in Online Learning. International Journal of Education and Development using ICT. Vol. 17, No. 1. http://ijedict.dec.uwi.edu/viewarticle.php?id=2850

2. Araka, E., Maina, E., Gitonga, R., Oboko, R. (2020). Research trends in measurement and intervention tools for self-regulated learning for e-learning environments— systematic review (2008–2018). Research and Practice in Technology Enhanced Learning. 15, 6. https://doi.org/10.1186/s41039-020-00129-5

3. Araka, E., & Muchemi, L. (2017). An SOA Framework for Web-based E-learning Systems-A case of Adult Learners. International Journal of Computer Applications Technology and Research (Vol. 6 Issue 8). DOI: 10.7753/IJCATR0608.1003

Books and Books Chapters

1. Araka, E., Oboko, R., Maina, E., Gitonga, R. (2021). A Conceptual Educational Data Mining Model for Supporting Self-Regulated Learning in Online Learning Environments. Handbook of Research on Equity in Computer Science in P-16 Education. pp 278-292. IGI Global. https://doi.org/10.4018/978-1-7998-4739-7.ch016

Conference/Workshops/Seminar Papers Conference Papers

1. Araka, E., Maina, E., Gitonga, R., Oboko, R. (2019). A Conceptual Model for Measuring and Supporting Self-Regulated Learning using Educational Data Mining on Learning Management Systems. 2019 IST-Africa Week Conference, Nairobi, Kenya, 2019. IEEE, pp. 1-11. https://ieeexplore.ieee.org/document/8764852