Multimodal learning

Where technology meets pedagogy

Dr. Sharon Klinkenberg

University of Amsterdam

2026-06-17

Personalized Learning and Media Diversity

Goal: inspire, but also be realistic about what works and what doesn’t. Audience: ICT professionals

• Researcher

• Teacher

• Educational technologist

• Director TLC

• One-size-fits-all vs One-of-a-kind

• Narratives across modalities

• Through the learner’s eyes (or ears)

• Learning Without Borders

What is personalized learning?

• Do we need to tailor education?
• Multimodal learning
  Olivier (2022)
  • Text, video, audio
  • Interactive widgets
  • Assessment tools
• Analyzing what works
  (Guerrero-Sosa et al., 2025)
• Learning anywhere, anytime

OER ebook

Balancing Guidance and Autonomy

• From passive media to generative co-creation
  (Babayev, 2025)
• Augmented agency: learners, media agents & AI companions
  (Achuthan, 2025)
• Learning analytics–driven media iteration & feedback loops
• Future-ready media skills

Didactics vs self-regulated learning

• Balancing guidance and autonomy
• Educational design vs learner control
• Actionable learning goals
• Self-regulated learning skills

NotebookML

Assessment drives learning

• Rethinking assessment: from exams to experiences
• Gamification & playful design
• Cognition without overload

• Assessmeent as e-learning
• Connection to learning goals
• Formative and summative
  • Authentic assessment
    (Midgette et al., 2025)

canvas quiz

Open Educational Resources

• Media, memory & futures
• Responsibility by design: evidence and myths in learning technology
• Beyond the degree

Sustainability and Responsibility

• The Lego approach
• Open Educational Resources
  (Romero-Ariza et al., 2025)
• The sum is greater than the parts
• Collaboration over competition
  LEAP-VU

ShareStats

References

Achuthan, K. (2025). Artificial intelligence and learner autonomy: A meta-analysis of self-regulated and self-directed learning. Frontiers in Education, 10, 1738751. https://doi.org/10.3389/feduc.2025.1738751

Babayev, J. (2025). Algorithmic autonomy or dependence? A mixed-methods study on AI personalization and self-regulated learning in higher education. Journal of Azerbaijan Language and Education Studies, 2(4). https://doi.org/10.69760/jales.2025004002

Guerrero-Sosa, J. D. T., Romero, F. P., Menéndez-Domínguez, V. H., Serrano-Guerrero, J., Montoro-Montarroso, A., & Olivas, J. A. (2025). A comprehensive review of multimodal analysis in education. Applied Sciences, 15(11), 5896. https://doi.org/10.3390/app15115896

Harun, R. N. S. R., & Singh, A. K. J. (2024). A systematic review of multimodal learning in higher education. In Innovative pedagogical practices for higher education 4.0. CRC Press, Taylor & Francis. https://doi.org/10.1201/9781003400691-18

Midgette, E., Stewart, O. G., & August, I. (2025). Understanding multimodal assessment practices in higher education to improve equity. Education Sciences, 15(11), 1523. https://doi.org/10.3390/educsci15111523

Olivier, L. (2022). Multimodal composition pedagogy in higher education: A paradigm shift. Per Linguam, 37(2), 13–31. https://doi.org/10.5785/37-2-996

Romero-Ariza, M., Quesada, A., Abril, A. M., Rodríguez-Ortega, P. G., & Martín-Peciña, M. (2025). Open educational resources: Teachers’ perception and impact on students’ motivation and meaningful learning. Education Sciences, 15(10), 1286. https://doi.org/10.3390/educsci15101286

Follow the TLC Podcast

Contact

• Klinkenberg
• ln.AvU@grebneknilK.S
• ShKlinkenberg

CC BY-NC-SA 4.0