CV

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General Information

  • Personal Information
    • Full Name: Mohammed Saqr
    • Full Legal Name: Mohamed Sacr Abdelgalil
    • Current Position: Professor of Computer Science and Head of Learning Analytics Unit
    • Institution: University of Eastern Finland
    • Professional Website: https://saqr.me
  • Research IDs
    • ORCID: https://orcid.org/0000-0001-5881-3109
    • Google Scholar: https://scholar.google.com/citations?user=U-O6R7YAAAAJ
    • Web of Science ResearcherID: AAH-2520-2020
    • Scopus ID: 57193957679

Personal Statement

I am a Professor of Computer Science at the School of Computing, University of Eastern Finland (UEF), where I also lead UEF's Learning Analytics Unit. Over the past five years, my unit – although small – has been the most productive laboratory in Europe and ranked second worldwide in learning analytics research in 2023. My scholarly impact is reflected in several international accolades, including the Stanford Top 2% Scientist Ranking in 2024 and awards for best papers at LAK 2024, ICCE 2020, SITE 2022, TEEM 2023 and 2024, nominations for ECTEL 2024 and ICALT 2024, and the Europe Emerging Scholar Award in 2023. Notably, I collaborate with over 200 researchers from 30 countries and have consulted for governmental organizations and private enterprises. Additionally, I have participated in the evaluation of the World Academy of Sciences, a UNESCO organization.

Education and Key Qualifications

  • PhD in Computer Science and Information Society
    Stockholm University, Department of Computer and Systems Sciences
    • Thesis: Using Learning Analytics to Understand and Support Collaborative Learning
  • Title of Docent in Learning Analytics
    Oulu University

Academic Positions

  • 2026 - Present
    Professor of Computer Science
    University of Eastern Finland
    • Head of Learning Analytics Unit
    • Faculty of Science, Forestry and Technology
  • 2023 - Present
    Associate Professor of Computer Science
    University of Eastern Finland
    • Head of Learning Analytics Unit
  • 2020 - 2023
    Senior Researcher
    University of Eastern Finland, School of Computing
  • 2020 - 2021
    Postdoctoral Researcher
    KTH Royal Institute of Technology
    • School of Electrical Engineering and Computer Science (combined with UEF)
  • 2019 - 2020
    Postdoctoral Researcher
    University of Eastern Finland, School of Computing
  • 2019
    Researcher
    Stockholm University
    • Department of Computer and Systems Sciences
  • 2018 - 2019
    Postdoctoral Researcher
    Paris Cité University
    • Center for Research Interdisciplinarity

Awards and Honors

  • 2025
    • Best Paper Award at The 9th International Conference on Smart Learning Environments (ICSLE 2025), Finland
    • Best Paper Award at TEEM 2025 Conference, Spain (Learning Analytics Track)
    • University of Kassel DITRA Award for outstanding papers (2nd place), Germany
  • 2024
    • Best Full Paper Award at International Conference on Learning Analytics and Knowledge (LAK24), Kyoto, Japan
    • Best Paper Award at TEEM 2024 Conference, Spain (Track: Unveiling Learning Analytics and Grey-Box Modelling: Bridging Theory and Data-Driven Insights)
    • Nominated for Best Paper Award at IEEE ICALT 2024 Conference, Nicosia, Cyprus
    • Nominated for Best Poster Award at EC-TEL 2024 Conference, Krems, Austria
  • 2023
    • Europe Emerging Scholar Award by the Society of Learning Analytics Research (SoLAR): Noteworthy research leading to significant knowledge and understanding of learning analytics and the impact of their research on learning analytics application adoption and professional development in Europe
    • Best Paper Award at TEEM 2023 Conference, Bragança, Portugal (Track: Data-Driven Education: Overcoming Hurdles for the Future of Learning Analytics)
    • Best Paper Award at TEEM 2023 Conference, Bragança, Portugal (Track: Gamification and Games for Learning)
  • 2022
    • Outstanding Paper Award at SITE 2022 Conference
  • 2020
    • Best Paper Award at the 28th International Conference on Computers in Education (ICCE 2020)
  • 2018
    • Best Thesis Award, Stockholm University Computer Science Department

Research Funding

  • 2022 - 2025
    • Finnish Research Council, Principal Investigator (Amount: 231.6K Euros): Toward Precision explainable Artificial Intelligence in Education
    • Co-Investigator (Amount: 886.391 Euros), Finnish Academy of Science 'Generation AI'
  • 2023
    • Amount: 68K Euros, BalticSeaBioMed
    • Role: Principal Investigator, Total Amount: 250K Euros (78K for UEF), ISILA Erasmus Project
  • 2021
    • European Council Erasmus Project, Role: Co-Principal Investigator, Total Amount: 227K Euros (61K for UEF), ILEDA
  • 2020
    • European Council Erasmus Project, Role: Principal Investigator, Total Amount: 288K Euros (46K for UEF), ENVISION
  • 2019
    • Role: Co-Principal Investigator (20%), Amount: 6 million SEK, Swedish Research Council Grant

Editorial Leadership Roles

  • 2025 - Present
    • Editor-in-Chief, Frontiers in Education: Digital Education
  • 2024 - 2025
    • Editor-in-Chief, Book title: AI, Precision and Complexity Book (forthcoming), Springer
  • 2023 - 2024
    • Editor-in-Chief, Book title: Learning Analytics Methods and Tutorials, Springer
  • 2021 - 2022
    • Editor-in-Chief, Book title: Past, Present and Future of Computing Education Research: A Global Perspective, Springer
  • 2021
    • Special Collection Editor, Diversity in the Social Sciences, Frontiers in Education
    • Special Collection Editor, Reduced Inequalities, Frontiers in Education
  • 2019
    • Academic Editor, Science of Stories Collection, PLOS One

Editor of Special Issues

  • 2026
    • Guest Editor, Special Issue on Learning and Learners' dynamics, Journal of Computer Assisted Learning
  • 2025 - 2026
    • Guest Editor, Special Issue on Generative AI Shift of Education, Review of Education
  • 2024 - 2025
    • Guest Editor, Special Issue on Complex Dynamics, British Journal of Educational Technology. Dynamics of Learning and Learners in the Changing Digital Landscape.
    • Guest Editor, Special Issue on Global Perspectives on Technology, British Journal of Educational Technology
  • 2023 - 2024
    • Guest Editor, Special Issue on Teaching and Learning Artificial Intelligence, Discover Education
    • Guest Editor, Special Issue on Diversity, Learning and Individual Differences
  • 2023
    • Guest Editor, Special Issue on Education Reimagined, Frontiers in Psychology: Education

Editorial Board Memberships

  • 2025 - Present
    • Editorial Board Member, British Journal of Educational Technology
  • 2023 - Present
    • Editorial Board Member, AERA Open
  • 2022 - Present
    • Associate Editor, IEEE Transactions on Learning Technologies
    • Associate Editor, Frontiers in Computer Science
    • Associate Editor, Frontiers in Education
  • 2019 - Present
    • Academic Editor, PLOS One

Organizing Committee

  • 2025
    • The 9th International Conference on Smart Learning Environments (Program Chair)
  • 2024
    • Finnish Learning Analytics and Artificial Intelligence in Education (FLAIEC)
    • eLearning Conference, Belgrade, Serbia
  • 2023
    • eLearning Conference, Belgrade, Serbia
  • 2022
    • Finnish Learning Analytics and AI in Education (FLAIEC)
  • 2021 - 2022
    • NetSciLA Workshop (LAK22, LAK21)
  • 2021
    • Nordic Learning Analytics Summer Institute
  • 2020
    • Quantitative Ethnography as a Framework for Network Analysis (LAK20)

Conference Track Chair

  • 2023
    • Chair, Learning Analytics Track, Technological Ecosystems for Enhancing Multiculturality (TEEM) (11th edition)
  • 2022
    • Chair, Learning Analytics Track, International Conference on Computers in Education (ICCE) (29th edition)
  • 2021
    • Chair, Learning Analytics Track, International Conference on Computers in Education (ICCE) (28th edition)

Senior PC Member

  • 2025
    • Senior Program Committee, International Conference of the Learning Sciences (ICLS)
    • Senior Program Committee, International Conference on Learning Analytics & Knowledge (LAK)
  • 2023 - 2025
    • Senior Program Committee, International Conference on Artificial Intelligence in Education (AIED)
    • Senior Program Committee, European Conference on Technology-Enhanced Learning (EC-TEL)

Proceedings Editor

  • 2024
    • The Thirteenth International Conference on eLearning
  • 2023
    • Technology-Enhanced Learning in Laboratories Symposium
  • 2022
    • The Thirteenth International Conference on eLearning
    • Finnish Learning Analytics and AI in Education Conference
    • Networks and Learning Analytics: Addressing Educational Challenges
    • Using Network Science in Learning Analytics: Building Bridges towards a Common Agenda
  • 2020
    • STELLA Symposium 2020: Harnessing the Potentials of Technology to Support Self-Directed Language Learning in Online Learning Settings

Invited Speaker and Lectures

  • 2024
    • Keynote: Finnish Learning Analytics and Artificial Intelligence in Education
    • Guest Lecture: Aalto University, Finland
    • Guest Lecture: University of Technology Sydney, Australia
    • Guest Lecture: Monash University, Australia
    • Guest Lecture: Melbourne University, Australia
    • Guest Lecture: Toulouse University, France
  • 2023
    • Keynote: 14th International Conference on eLearning
    • Guest Lecture: Centre for the Science of Learning & Technology (SLATE)
    • Keynote: Helsinki Node Network Analysis Research on Teaching and Learning
  • 2021 - 2022
    • Keynote: Spanish Network of Learning Analytics (SNOLA)
    • Lecture: Bridging from Remote to In-Person Teaching, Åbo Akademi University
    • Lecture: Swedish Higher Education and E-Learning (HEEL)

Research Stays

  • 2024
    • Monash University (Australia)
  • 2023
    • Cairo University (Egypt)
    • Oulu University (Finland)
  • 2022
    • Universidad Politécnica de Madrid (Spain)
    • Osnabrück University (Germany)

Supervision

  • Completed PhD Theses as Main Supervisor
    • Sami Heikkinen (2025): Using Learning Analytics to Capture Self-Regulation and the Complex Temporal Dynamics of its Correlates
    • Fitsum Deriba (2025): Enhancing the education of accessibility with Artificial Intelligence (Defense 12th December 2025)
    • Elmoazen, Ramy (2024): Using Learning Analytics to Capture Social and Temporal Dimensions of Collaborative Learning
  • Current PhD Supervision
    • Hesham Ahmed: Explainable artificial intelligence
    • Rhythm Bhatia: Person-centered analytics
    • Maria Miiro Kafuko: Social interaction at scale
    • Yazid Al-Badarin: Artificial intelligence in computing education
    • Maya Taki: Learning analytics
    • Bonface Abima: Temporal learning analytics
    • Aisha Khairat: Analytics of community learning
    • Mabberi Enock: Artificial intelligence in community schools
  • Completed Master's Theses as Main Supervisor
    • Mihtsun, H. (2025): Analysis of Clinical Reasoning and Interaction Patterns in Virtual Patients
    • Nanayakkara, S. (2024): Sequence and Process Mining Analysis on Project-Based Collaborative Learning of University Students. University of Eastern Finland, School of Computing.
    • Zhang, J. (2023): Language in Motion: NLP Analysis of Movie Subtitles. University of Eastern Finland, School of Computing.
    • Rai, P. (2023): Early Prediction of Student Performance in Learning Analytics: A Machine Learning Comparison Across Different Times. University of Eastern Finland, School of Computing.
    • Khan, M. (2021): Epistemic Network Analysis in Problem-Based Learning. University of Eastern Finland, School of Computing.
    • Hafiz, M. (2021): Identification of Influence Maximizers in Students' Social Networks. University of Eastern Finland, School of Computing.
    • Hossain, J. (2021): Analysis of Student Interaction in Project-Based Learning. University of Eastern Finland, School of Computing.
    • Winberg, M. (2021): Implementation of a Mobile Device Eye-Tracking System Using Augmented Reality. KTH, School of Electrical Engineering and Computer Science (EECS).
    • Tavakoli, M. (2021): Optimizing the Usability of Reading Assessments with Eye-Tracking on a Mobile Device. KTH, School of Electrical Engineering and Computer Science (EECS).
    • Johansson, E. (2021): Applying Gamification to a Mobile Application to Motivate Children to Learn Math. KTH, School of Electrical Engineering and Computer Science (EECS).

Thesis Committee and Opponent Roles

  • 2023
    • First opponent for Kamila Misiejuk's PhD thesis, Bergen University, Norway
    • Examination Committee, Esteban Villalobos, Toulouse University
    • Examination Committee, Pavani Vemuri, KU Leuven
    • Examination Committee, Tudor Cristea, Eindhoven University of Technology

Collaborations

  • International
    • Collaboration network with leading researchers including Dragan Gasevic, Jelena Jovanovic, Barbara Wasson
    • Research partnerships across Germany, Switzerland, USA, UK, Sweden, Luxembourg, Netherlands, Serbia, Bulgaria, Turkey, Australia, Austria
  • Methodological
    • Satu Helske (Mixed Hidden Markov Models)
    • Luca Scrucca (clustering software)
    • Mathias Struder and Gilbert Ritschard (TraMineR sequence analysis)
    • Leonie Vogelsmeier (transition analysis)
  • Within Finland
    • Oulu University: Sanna Järvelä, Hanna Järvenoja, Jonna Malmberg
    • University of Helsinki: Petri Ihantola
    • Aalto University: Lauri Malmi
    • University of Jyväskylä: Pekka Mertala

Peer Reviews

  • Major Journals
    • Computers & Education
    • Computers in Human Behavior
    • British Journal of Educational Technology
    • Journal of the Learning Sciences
    • Studies in Higher Education
    • Behaviour & Information Technology
    • British Journal of Educational Psychology
    • Journal of Computer Assisted Learning
    • International Journal of Computer-Supported Collaborative Learning
    • Journal of Learning Analytics
    • IEEE Transactions on Learning Technologies
    • PLOS One
    • Advances in Health Sciences Education
    • Medical Teacher
    • International Journal of Computers and Applications
    • WIREs Data Mining and Knowledge Discovery
    • ACM Transactions on Computing Education
    • Complexity
    • Artificial Intelligence Review
    • IEEE Access
    • Memory
    • BMC Medical Education
    • Canadian Journal of Learning and Technology
    • International Journal of Health Sciences
    • Interactive Learning Environments
    • Advances in Medical Education and Practice
    • Smart Learning Environments
    • International Journal of Emerging Technologies in Learning
    • International Journal of Learning Analytics and Artificial Intelligence for Education
    • Quality of Life Research
    • International Journal of Computers for Mathematical Learning
    • Learning and Motivation
    • Expert Systems with Applications
  • Major Conferences
    • Learning Analytics and Knowledge Conference (LAK)
    • ICCE Sub-Conference on Advanced Learning Technologies (ALT)
    • Augmented Intelligence to Empower Education Conference
    • Koli Calling Conference
    • International Society of the Learning Sciences Conference
    • Networks in the Global World
    • SIMEC International Conference in Medical Education
    • International Conference on Computers in Education
    • European Conference on Technology-Enhanced Learning (EC-TEL)
    • International Conference on Artificial Intelligence in Education
    • Educational Data Mining Conference
    • FLAIEC Conference
    • ELEARNING Conference Belgrade
    • Multimodal Learning Analytics Book
    • Computing Education Book

Professional Reviews of Grant Applications

  • Institutions
    • KU Leuven (University of Leuven, Belgium)
    • Dutch Research Council (NWO)
    • The World Academy of Sciences (TWAS)
    • Research Council of Oman

Industry Collaboration

  • 2020
    • City of Helsinki (Finland): AI in education development
  • 2018 - 2019
    • Dugga e-Assessment project - Stockholm University: Inclusion of analytics in e-assessment platforms.

Projects

  • 2022
    • TOPEILA - University of Eastern Finland: Academy of Finland funded project to study idiographic learning analytics
    • Generation AI - University of Eastern Finland: A project to study AI for the new generation across several Finnish Universities, the total funding of the project is around six million Euros
  • 2021
    • ILEDA - University of Eastern Finland: An Erasmus+ funded project with three main goals: (1) to design a framework for developing and integrating existing learning environments with digital tools in order to support online and blended learning with learning analytics, (2) to identify Learning analytics data that can be used to monitor learning performance, with the goal to identify at risk students of dropping out, and (3) to develop a software tool that collects and provides analysis on student learning activities.
  • 2020
    • ENVISION - University of Eastern Finland: An Erasmus project that aims to develop Virtual Laboratory and Virtual Teamwork modules in the field of biosciences, and aid the development by studying how we can implement learning analytics (LA) to improve the digi-pedagogic quality of the modules. The overreaching goal of our Project is to offer the students individualized learning experience in the future, based on the real-time LA incorporated in the e-learning course modules.
  • 2019
    • OAHOT - University of Eastern Finland: The aim of the research project is to identify through learning analytics, the key elements of learning processes that support the development of high quality learning and development of know-how. This research project examines the development of learners’ skills, the learning process, learning outcomes and the key elements in the pathway in multiple learning contexts through multiple case-studies, utilizing the same learning analytics tools.
  • 2018 - 2019
    • Co-inform - Stockholm University: I designed, implemented, and analyzed the pilot project of co-creating resilient societies against misinformation for 9 universities across Europe.
  • 2018
    • IGEM - Paris Descartes University: I analyzed scientific interactions using proximity sensors using social network analysis and machine learning (Multimodal learning analytics).
  • 2013 - 2018
    • Project-based learning curriculum implementation - Wright State University: Using education technology to deliver curriculum and learning resources, transfer, and optimization.
  • 2012 - 2014
    • Preventive medicine project - Stanford University: Using education technology to design and deliver disease prevention curriculum and learning resources.
  • 2011 - 2017
    • Progress test project - Maastricht University: I implemented e-assessment analytics among 30 universities, using item response and comparative analytics.

Membership in Societies

  • Societies
    • Association for Computing Machinery (ACM)
    • American Psychological Association (APA)
    • Society for Learning Analytics Research (SoLAR)
    • European Association for Technology-Enhanced Learning (EATEL)
    • International Association for Medical Education (AMEE)
    • Geneva Foundation for Medical Education and Research
    • The Open Courseware Consortium
    • Educause International Technology in Education
    • The Society of Simulation in Health
    • International Association for Mobile Learning

Roles I Served

  • Roles
    • Member of the university e-learning committee
    • E-learning consultant for the university e-learning deanship
    • Member of the accreditation steering committee
    • Member of the university strategic planning committee
    • Assistant manager of the university ranking project
    • Supervisor of the e-learning unit
    • Coordinator of the virtual patient committee
    • Task force for Stanford University collaboration project
    • Maastricht University collaboration committee
    • Member of the quality assurance unit
    • Member of the faculty development unit
    • Coordinator of the internship committee
    • Member of the college e-learning committee
    • Member of the evidence-based medicine committee
    • Member of the exam bank committee
    • Member of the graduates and community service committee
    • Member of the university planning for flu committee

Teaching

  • Courses Taught
    • Learning analytics course (5 ECTS): The course is the largest learning analytics course in Europe with around 50 enrolled students with yearly growth of 20%. The course aims to ground students in how to understand, develop, and apply learning analytics techniques (2019 - 2021).
    • Learning analytics summer course (5 ECTS) (2022).
    • Social Network Analysis (5 ECTS): The course introduces students to the paradigm of networks, enables them to analyze several types of networks, and most importantly, create their own networks (2019 - 2022).
  • Additional Teaching Contributions
    • Nordic Learning Analytics 2021 (5 ECTS) in collaboration with universities from Sweden, Denmark, and Norway
    • Austria: Vienna University of Technology - Philosophy of Computer Science
    • Norway: Bergen University - SLATE: Centre for the Science of Learning & Technology
    • Sweden: Royal Institute of Technology (KTH) - Social Network Analysis in Education and Beyond
    • Sweden: Royal Institute of Technology (KTH) - Degree Project in Media Technology
    • Finland: Oulu University - Contributed to the teaching of the EdTech course
    • Germany: Osnabruck University - Contributed to the teaching of the Information System course