Daiana Rinja

Deutsch

Daiana Rinja Photo: Hardy Welsch

Daiana Rinja

Research assistant at the research professorship „Learning Sciences in Higher Education“

Email: daiana.rinja

Universitätsstraße 27 – PRG / Building 5
Raum B 116 (1st floor)
58097 Hagen

What is my role within CATALPA?

As a doctoral candidate in the research professorship "Learning Sciences," I investigate how the learning experience of students can be enhanced through the use of AI.

Why CATALPA?

CATALPA provides excellent support for early-career researchers and creates unique opportunities for interdisciplinary collaboration. The collaborative nature of the research center enables the exploration of research questions from various content-related and methodological perspectives.

    • Research assistant at research professorship „Learning Sciences in Higher Education“ (since January 2025)
    • Learning Experience Designer (2021 - 2024)
    • MSc. Educational Technology (2022)

    • AI in Education
    • Learning Sciences

  • I work on various projects within the research professorship “Learning Sciences”

  • 2026

    Conferences

    • Misiejuk, K., Kolarik, S., Lehnert, F., Rinja, D., Yücepur, V., & Specht, M. (2026). Student–AI Dialogue Through Multiple Lenses: Interaction Profiles, Language Patterns, and Content Trajectories. In M. Saqr, K. Misiejuk, & S. López-Pernas (Eds.), Communications in Computer and Information Science (CCIS), Innovations in Analytics of Learning Dynamics: Proceedings of the 1st Workshop on Transition Network Analysis (TNA). Springer. https://doi.org/10.1007/978-3-032-34157-0

    • Misiejuk, K., Rinja, D., López-Pernas, S., & Saqr, M. (2026 in print). Reliance, Reluctance and Relegation: A Semester-Long Analysis of Student-AI Interactions. In Proceedings of the 28th International Symposium on Informatics in Education (SIIE’26), Zamora, Spain.

      Rinja, D., Oliveira, E. A., López-Pernas, S., Saqr, M., Specht, M., & Misiejuk, K. (2026). Unpacking Vibe Coding: Help-Seeking Processes in Student-AI Interactions While Programming. In E. G. Blanchard, G. Chen, M. Chi, & S. Isotani (Eds.), Lecture Notes in Computer Science, Artificial Intelligence in Education (pp. 515–530). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-29763-1_35

  • Researchgate

CATALPA | 10.08.2026