L’amélioration de l’expérience d’apprentissage de la plateforme et du contenu en fonction des besoins personnels et des préférences des utilisateurs dans le cours de génie logiciel et de technologie

• Autores: Soukaina Benabdelouahab
• Directores de la Tesis: El Bouhdidi Jaber (dir. tes.) , Juan Manuel Carrillo de Gea (dir. tes.) , El Younoussi Yacine (dir. tes.)
• Lectura: En la Université Abdelmalek Essaadi ( Marruecos ) en 2024
• Idioma: francés
• Número de páginas: 145
• Títulos paralelos:
  • Improving the Learning Experience of the Platform and Content Based on Personal Needs and User Preferences in the Software Engineering and Technology Course
• Tribunal Calificador de la Tesis: Tahiri Abderrahim (presid.) , El Khamlichi Yasser (voc.) , Mohamed Khaldi (voc.)
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• Resumen

  • E-learning has been introduced at the higher education to offers a variety of educational content to the learners and makes the educational process more creative and flexible. Software engineering students should be exposed to professional software engineering practices as part of their training in such a way that they can recognize which practices and procedures are appropriate in a variety of scenarios. Researchers and educators have been working to create and implement innovative teaching approaches adapted to the learner’s needs and preference to enhance software engineering education.

    This doctoral thesis explores the integration of adaptive E-learning systems to enhance software engineering education. With the increasing demand for flexible and innovative learning approaches, the thesis focuses on leveraging the capabilities of Learning Management Systems (LMSs) such as Sakai and Moodle to deliver personalized educational content to software engineering students.

    The study begins with a thorough bibliometric analysis, examining the current landscape of E-learning systems in software engineering education. This analysis provides valuable insights into the temporal evolution of publications, influential authors and institutions, geographical distribution, language preferences, and relevant publication types. The findings from this analysis lay the foundation for future research on the effective implementation of E-learning systems in software engineering instruction.

    The objective of this research is to improve the online learning experience by adapting the Sakai platform and its content to meet the individual needs and preferences of software engineering and technology students. Understanding the psychology of learners is crucial in online education, and this thesis addresses this by utilizing the Transtheoretical model of behavior change. By combining serious games, recommender systems, and adaptive learning approaches, the proposed systems take into account learners' sociological and personal needs, ultimately enhancing their motivation and commitment to the learning process.

    The adaptive system developed in this thesis classifies courses based on specific criteria, ensuring compatibility with learners' requirements. By grouping students with similar characteristics, the system facilitates social interaction and collaboration among peers, leveraging the tools provided by Sakai to create a dynamic and engaging learning environment. Additionally, two recommendation systems are integrated into Sakai, leveraging user connections, relationships, and similarities to assist learners in discovering relevant and suitable courses.

    Furthermore, this research proposes the use of serious games as a means to overcome training barriers and inspire software engineering students to explore formal software engineering practices. These games serve as innovative classroom activities that combine technology usage with hands-on exercises, fostering an educational atmosphere that enhances user engagement and motivation.

    Overall, this doctoral thesis contributes to the advancement of software engineering education by offering insights into the utilization of adaptive E-learning systems. By adapting the Sakai platform and employing personalized approaches, the study aims to meet the evolving needs and preferences of software engineering students, ultimately creating a more effective and engaging learning experience in the digital era.