Designing Learning Tools in the AI Era: Developing for Design Science Research in PhD Education
- Autores: Xabier Garmendia Díaz
- Directores de la Tesis: Óscar Díaz García (dir. tes.), Maider Azanza Sese (codir. tes.)
- Lectura: En la Universidad del País Vasco - Euskal Herriko Unibertsitatea ( España ) en 2025
- Idioma: inglés
- Programa de doctorado: Programa de Doctorado en Ingeniería Informática por la Universidad del País Vasco/Euskal Herriko Unibertsitatea
- Materias:
- Enlaces
- Tesis en acceso abierto en: ADDI
- Resumen
Traditional learning theories often view learning as an integrative process where learners must connect new information to their existing knowledge. The increasing presence of Artificial Intelligence (AI) technologies, particularly Large Language Models (LLMs), is transforming the landscape of learning tools by shifting from traditional reading towards interactive prompting techniques. From a learning perspective, doctoral studies differs significantly from previous education due to independent research, creation of new knowledge, and advanced critical thinking, with minimal direct instruction. Moreover, when resorting to Design Science Research (DSR) as methodology, students typically have difficulties in capturing and representing the complexities of practical problems and understanding the opportunities and constraints necessary for impactful contributions to practice.
Using Action Design Research (ADR) and guided by a 2x2 classification matrix, which organizes knowledge representation into new information (documents or LLMs) and existing knowledge (text or diagrams), this thesis focuses on supporting three key activities in doctoral studies: knowledge representation, problem scoping, and writing. This thesis resulted in the design of three web extensions: Concept&Go, Chatin, and PrompTeX.
