Dilek Celik
Dilek Celik is a Lecturer and Research Lead at Northumbria University, London. She obtained her Ph.D. (2019) degree from the Computer Science and Information Systems Department of Birkbeck College, University of London. She involved in the UK’s National Institute of Coding Project in learning analytics as part of Knowledge Media Institute of Open University (2018).
Teaching
Dilek teaches Python for Artificial Intelligence, Applied Data Science, Research Methods at NUL. Her teaching approaches lie in pragmatism philosophy, research-rich learning, technology-rich learning.
Research
Implementation of Machine Learning and Deep Learning models to various fields such as Finance and Health.
Academic and Industry experience
Dilek has been working actively in the academic since 2015. She worked in leading UK (United Kingdom) universities such as University College London and University of London. She involved in the UK’s National Institute of Coding Project in learning analytics as part of Knowledge Media Institute of Open University (2018).
Key Publications
- Celik D., Mikroyannidis A., Hlosta M., Third A., Domingue J. (2019) ADA: A System for Automating the Learning Data Analytics Processing Life Cycle. In: Scheffel M.,Broisin J., Pammer-Schindler V., Ioannou A., Schneider J. (eds) Transforming Learning with Meaningful Technologies. EC-TEL Lecture Notes in Computer Science, vol 11722. Springer, Cham
- Celik D., Magoulas G.D. (2019) Challenging the Alignment of Learning Design Tools with HE Lecturers’ Learning Design Practice. In: Scheffel M., Broisin J., Pammer-Schindler V., Ioannou A., Schneider J. (eds) Transforming Learning with Meaningful Technologies. EC-TEL 2019. Lecture Notes in Computer Science, vol 11722. Springer, Cham
- Celik D., Magoulas G.D. (2016) Approaches to Design for Learning. In: Chiu D., Marenzi I., Nanni U., Spaniol M., Temperini M. (eds) Advances in Web-Based Learning – ICWL 2016. ICWL 2016. Lecture Notes in Computer Science, vol 10013. Springer, Cham
- Celik D., Magoulas G.D. (2016) A Review, Timeline, and Categorization of Learning Design Tools. In: Chiu D., Marenzi I., Nanni U., Spaniol M., Temperini M. (eds) Advances in Web-Based Learning – ICWL 2016. ICWL 2016. Lecture Notes in Computer Science, vol 10013. Springer, Cham
Qualifications and Professional Membership
Qualifications
- PhD, Computer Science and Information Systems, Birkbeck University of London, London, UK, 01/2015 – 12/2019. Thesis: “Sociomaterial Perspective of Learning Design Practice and Its Implications on Learning Design Software Development”
- MA, San Francisco State University, CA, USA, 08/2012 – 05/2014
- BSc, Ege University, Turkey, 09/2005 – 06/2010
Other Qualifications
Fellowship of Higher Education Academy FHEA
Professional Membership
- Machine Learning and Data Science
- Data Science Association
- Anita Borg Institute Systers (community of women in technical computing)
