KLAS1409 Digitalization in and for Learning: Collaboration, Creativity, and Technology (5 cr)

Learning, interaction, and creativity; competences; multimodal data; AI in education

Upon completion of the course, students will:

• Be able to apply theories of learning and creativity in changing, technology-rich teaching and learning environments.
• Understand how to use multimodal data to track learning and interaction processes.
• Understand the possibilities and limitations of using AI in education.
• Comprehend the competencies required for future work life.

Assessment criteria: 1) active participation, 2) completing and passing learning assignments

Hämäläinen, R., & Vähäsantanen, K. (2011). Theoretical and pedagogical perspectives on orchestrating creativity and collaborative learning. Educational Research Review, 6(3), 169-184.

Hämäläinen, R., Nissinen, K., Mannonen, J., Lämsä, J., Leino, K., & Taajamo, M. (2021). Understanding teaching professionals' digital competence: What do PIAAC and TALIS reveal about technology-related skills, attitudes, and knowledge?. Computers in Human Behavior, 117, 106672.

Lehesvuori, S., Schlotterbeck, D., Jiménez, A., Caballero, D., Araya, R., & Hämäläinen, R. (2023). Towards Automatic Analysis of Science Classroom Talk: Focus on Teacher Questions. In Fostering Science Teaching and Learning for the Fourth Industrial Revolution and Beyond (pp. 123-146). IGI Global.

https://youtu.be/k_yHGu-bBRE?si=ww5o9yWfKrK6U9tm

5 additional selected articles on multimodal data