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Using the problem based learning method and educational technologies to teach open data: A design-based research
Eleni Dermentzi1, Maria Zotou2, Efthimios Tambouris3
1Newcastle Business School, Northumbria University, City Campus East, Newcastle Upon Tyne, NE1 8ST UK.
Problem Based Learning (PBL) effectively teaches Open Data skills to university students. Integrating educational technologies enhances this approach, but careful implementation is key for maximizing their potential in Open Data education.
Area of Science:
- Educational Technology
- Data Science Education
- Higher Education Pedagogy
Background:
- Increasing availability of public Open Data necessitates new skills for graduates.
- University curricula require adaptation to incorporate Open Data utilization.
- Effective pedagogical methods are needed to develop Open Data competencies.
Purpose of the Study:
- To investigate the efficacy of Problem Based Learning (PBL) for Open Data skills development.
- To explore the role of educational technologies in supporting Open Data education.
- To derive design principles for integrating PBL and digital tools in Open Data modules.
Main Methods:
- Design-Based Research (DBR) methodology employed across three phases.
- Stakeholder needs assessment through practitioner interviews and student focus groups.
- Iterative module design and refinement based on collected data and tutor reflections.
Main Results:
- Problem Based Learning (PBL) is a suitable framework for teaching Open Data concepts.
- Educational technologies can significantly enhance Open Data skill acquisition.
- Careful integration is required to fully leverage the benefits of educational technologies.
Conclusions:
- PBL combined with well-chosen educational technologies offers an effective approach to Open Data education.
- Design principles are proposed to guide educators in implementing this blended pedagogical strategy.
- The study highlights the importance of aligning teaching methods with the evolving landscape of Open Data.
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