Webpage Dmitry Abbakumov
Welcome to my webpage! My name is Dmitry Abbakumov. I am a psychometrician and data scientist. I lead a psychometric team at eLearning Office at HSE University in Russia and work as a research collaborator in statistical modeling at ITEC, imec research group at KU Leuven in Belgium. So, I live in Russia and Belgium equal parts. I recently got a doctoral degree in psychometrics and methodology of educational sciences from KU Leuven. My professional mission is to help universities and EdTech companies improving digital learning products by explaining how learning works through (advanced psychometric) analysis of digital footprints students left behind while using learning platforms and applications. On this website, you can find my CV, publications, and information on projects me and my collaborators are working on. You can contact me at mailbox@abbakumov.com.
Publications
Published
Abbakumov, D., Desmet, P., & Van den Noortgate, W. (in press). Rasch model extensions for enhanced formative assessments in MOOCs. Applied Measurement in Education.
Abbakumov, D., Desmet, P., & Van den Noortgate, W. (2019). Measuring growth in students’ proficiency in MOOCs: Two component dynamic extensions for the Rasch model. Behavior Research Methods, 51(1), 332-341. PDF
Abbakumov, D., Desmet, P., & Van den Noortgate, W. (2018). Measuring student’s proficiency in MOOCs: Multiple attempts extensions for the Rasch model. Heliyon, 4(12), 1-15. PDF
Abbakumov, D., & Lebedeva, M. (2016). Russian as a foreign language grammar and vocabulary placement test: Design, pilot test, and psychometric analysis. Russian Language Abroad, 5, 70-75. PDF (in russian)
Abbakumov, D. (2011). Comparing the effectiveness of verbal and numerical tests for predicting results of employees’ productivity. Organizational Psychology, 1(2), 92-99. PDF (in russian)
Under review
Abbakumov, D., Desmet, P., & Van den Noortgate, W. Measuring students’ activity in MOOCs using a Rasch model extension.
Abbakumov, D., Desmet, P., & Van den Noortgate, W. Psychometrics of MOOCs: Measuring learners’ proficiency.
Doctoral Dissertation
Psychometrics of MOOCs: How to Measure Proficiency?
Supervisor: Prof. Dr. Wim Van den Noortgate, Co-supervisor: Prof. Dr. Piet Desmet
Date of Public Defense: 13 September 2019
Summary English PDF | Dutch PDF
Chapter 1. Introduction PDF
Chapter 2. Measuring students’ proficiency in MOOCs: Multiple attempts extensions for the Rasch model PDF
Chapter 3. Measuring growth in students’ proficiency in MOOCs: Two component dynamic extensions for the Rasch model PDF
Chapter 4. Rasch model extensions for enhanced formative assessments in MOOCs PDF
Chapter 5. Measuring students’ activity in MOOCs using a Rasch model extension PDF
Chapter 6. Psychometrics of MOOCs: Measuring learners’ proficiency PDF
References PDF
Full Text PDF
Selected International Talks
Measuring student’s activity in MOOCs using extensions of the Rasch model. International Meeting of the Psychometric Society, Santiago, Chile, 2019 PDF
Learners’ activity in MOOCs from a psychometric perspective. Coursera Partners Conference, London, the UK, 2019 PDF
Measuring student’s proficiency in MOOCs: Multiple attempts extensions for the Rasch model. International Meeting of the Psychometric Society, New York, USA, 2018 PDF
Measuring student’s proficiency in MOOCs: Multiple attempts IRT extensions. Coursera Partners Conference, Tempe, USA, 2018
Measuring the impact of video lectures on learner’s productivity. Coursera Partners Conference, Boulder, USA, 2017
Interest and interestingness: The new perspective on students and content. Coursera Partners Conference, the Hague, the Netherlands, 2016
Psychometrics of MOOCs: The basics. EduLab, Rome, Italy, 2016
Computerized adaptive testing algorithm for summative assessment. Computerized Adaptive Testing Summit, Princeton, USA, 2014
