Dr. Karima Boussaha | Computer science | Best Researcher Award

Dr, Computer Science Department, University of Oum El Bouaghi, Algeria

Dr. Karima Boussaha is a Full Professor in the Department of Mathematics and Computer Science at Larbi Ben M’hidi University, Oum El Bouaghi, Algeria. She is a member of the Research Laboratory on Computer Science’s Complex Systems (ReLa(CS)²). With over two decades of academic and research experience, her work primarily focuses on e-learning systems, adaptive learning, and the integration of gamification in education. Dr. Boussaha has contributed significantly to the field through numerous publications in reputable journals and conferences. Her dedication to advancing computer science education is evident in her innovative approaches to teaching and assessment.

Profile​

Orcid

🎓 Education

• 2021: Habilitation Universitaire in Computer Science, University of Oum El Bouaghi, Algeria

• 2016: Ph.D. in Computer Science, University of Annaba, Algeria

• 2009: Magister in Computer Science, University of Annaba, Algeria

• 2003: Computer Science Engineer, University of Guelma, Algeria

• 1999: Baccalaureate in Natural Sciences

• 1998: Baccalaureate in Exact Sciences​

💼 Professional Experience

• 2021–Present: Full Professor, Department of Mathematics and Computer Science, Larbi Ben M’hidi University, Oum El Bouaghi, Algeria

• 2017–2021: Associate Professor, Department of Mathematics and Computer Science, Larbi Ben M’hidi University, Oum El Bouaghi, Algeria

• 2009–2016: Assistant Professor, Larbi Ben M’hidi University, Oum El Bouaghi, Algeria

• 2007–2009: Design Engineer, Guelma

• 2004–2009: Temporary Teacher at National Center for Vocational Training and Learning Guelma, teaching magistrates and company employees​​

🔬 Research Focus

Dr. Boussaha’s research centers on enhancing computer science education through technology. She specializes in adaptive learning systems, gamification, and the development of intelligent tutoring systems. Her work aims to personalize learning experiences, improve student engagement, and assess learner performance effectively. By integrating psychological theories with educational technology, she strives to create innovative solutions that address the challenges of modern education.​

📚Publication Top Notes

1. Towards a New Generation of Digital Games Designed with the Basics of Psychological Theories to Improve Primary School Pupils’ Psychological and Technical Skills in Learning Arithmetic

   • Journal: Entertainment Computing, March 2025

   • DOI: 10.1016/j.entcom.2025.100927

   • Summary: This study explores the design of digital games based on psychological theories to enhance arithmetic skills among primary school students.​

2. Adoption of Digital Games as Pedagogical Aids for Teachers and Pupils in Primary Schools to Overcome Learning Problems in Arithmetic

   • Book Chapter, 2024

   • DOI: 10.1007/978-3-031-63031-6_8

   • Summary: The chapter discusses how digital games can be utilized as teaching tools to address arithmetic learning challenges in primary education.​

3. Towards Advanced Approaches to Predict Students Dropout in MOOCs

   • Book Chapter, 2024

   • DOI: 10.1007/978-3-031-73344-4_22

   • Summary: This work presents methods for predicting student dropout rates in Massive Open Online Courses (MOOCs) to enhance retention strategies.​

4. Towards Multi-Agent Personalized Adaptive Generic Learning System – A Generic Pedagogical Domain Modeling

   • Book Chapter, 2024

   • DOI: 10.1007/978-3-031-73344-4_58

   • Summary: The chapter introduces a multi-agent system for personalized adaptive learning, focusing on pedagogical domain modeling.​

5. Unveiling Interactive Narratives: Enhancing MOOCs with Interaction Fiction

   • Book Chapter, 2024

   • DOI: 10.1007/978-3-031-73344-4_61

   • Summary: This study examines the integration of interactive fiction into MOOCs to improve learner engagement and experience.​

6. Meta-features Based Architecture for the Automatic Selection of Prediction Models for MOOCs

   • Book Chapter, 2023

   • DOI: 10.1007/978-3-031-44146-2_35

   • Summary: The chapter presents an architecture utilizing meta-features for selecting appropriate prediction models in MOOCs.

7. Rescue Under-Motivated Learners Who Studied Through MOOCs by Prediction and Intervention

   • Book Chapter, 2023

   • DOI: [10.1007/978-3-031-44097-7_12](https://doi.org/10.1007/978-3-031-44097

Conclusion

Dr. Karima Boussaha is a highly qualified and committed researcher whose work has made notable contributions to educational technologies, MOOCs, and adaptive learning systems. Her interdisciplinary approach, dedication to capacity building in Algeria and Francophone Africa, and consistent research output make her a very strong contender for a Best Researcher Award.