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

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