nagashima[at]cs.uni-saarland.de

🎉 NEWS 🎉

(Apr 2026) Our “Intelligent Systems and Human Learning” lecture won the Busy Beaver Award (outstanding teaching award)! Our “Living AI-ducation Dashboard” seminar was also nominated for the award.

(Mar 2026) 1 CSCW, 1 AIED, 1 L@S, and 2 ISLS papers (and 1 AIED workshop) accepted!

(Mar 2026) Bingyi’s CHI26 paper, which she worked on with her Melbourne colleagues, received the Best Paper Award!

(Feb 2026) Niklas won the FdSI prize on his bachelor’s thesis!

(Feb 2026) Bingyi joined as a postdoc! Welcome!

(Feb 2026) A cool article on Bingyi’s research!

(Dec 2025) The colaps team visited us!

(Dec 2025) Tomo on SIC news!

(Nov 2025) Dr. Satomi Shiba from Science Tokyo visited the lab!

(Nov 2025) Tomo gave a talk at TUM (virtually)!

(Nov 2025) Bingyi Han will join the lab as a Humboldt Research Fellow in early 2026!

(Oct 2025) Echo started a Junior Research Group Leader position at IWM in Tübingen! Thanks for everything, and good luck Echo!

(Oct 2025) Mirella won the best paper award at ACII25 on her work with collaborators!

(July 2025) New grant! On co-designing “uncanny” UI with teens with Prof. Dr. Katie Seaborn at Cambridge!

(July 2025) Tomo has joined Journal of the Learning Sciences as an Editorial Board member!

(July 2025) Wrapping up the semester with our lab members 😊

(July 2025) Our AIED25 paper, “The multi-dimensionality of student agency in learning with AI,” has been nominated for the best paper award!

(June 2025) We got an internal grant to support our work on AlgeSPACE, through collaborating with Prof. Dr. Maria Theobald in Trier!

(June 2025) Tomo has been appointed as one of the newly-selected Henriette Herz Scouts by the Alexander von Humboldt Foundation! (University news)

(June 2025) Jeroen Ooge (Assist. Prof. at Utrecht) visited us. Thank you Jeroen!

(April 2025) Our work has been accepted at CHI LBW, IDC, AIED, ISLS, ECTEL, and CogSci! See you in Yokohama, Reykjavik, Palermo, Helsinki, Durham, and San Francisco!

(Feb 2025) Two proposals accepted for EARLI2025! We’ll be joining a symposium on teacher dashboards (by Sarah Bichler at LMU Munich) and present our work on AlgeSPACE.

(Dec 2024) Our lab’s end-of-year Christmas party!

(Oct 2024) Echo’s seminar and Tomo’s seminar both were nominated for the Busy Beaver (outstanding teaching) Award in our department, and Echo won the award! Congrats Echo!

(Sep 2024) Echo started her one-month stay within the LET group at the University of Oulu through the Hybrid Intelligence Mobility Grant program!

Pedagogical Affordance Analysis

When designing an instructional tool and/or adapting it to an instructional context, it is essential that designers/researchers understand what pedagogical affordances it offers so that the tool facilitates the interaction among the tool, educator(s), and students. Prior studies on pedagogical affordances, however, treat pedagogical affordances as fixed concepts — in other words, prior work does not consider a possibility that contextual factors, such as instructional goals, teachers’ knowledge, or classroom environments, would influence whether and how certain pedagogical affordances are activated/realized.

Taking a socio-cultural perspective, we consider that pedagogical affordances of an instructional tool need to be understood in relation to the particular instructional goal that the tool will be used to help with.

Traditional way of viewing pedagogical affordances
In our work, we consider pedagogical affordances as a relational concept

We developed an action-oriented, educator-centered method for understanding pedagogical affordances of an instructional tool. Designers/researchers can follow the step-by-step process (below) to identify pedagogical affordances and pedagogical constraints. 

This method, called Pedagogical Affordance Analysis, can be used to re-design instructional tools or evaluate existing tools in relation to the target goal.

Pedagogical Affordance Analysis (PAA) follows a step-by-step procedure

The project has won 2 awards!

 

Relevant Publications

  • Nagashima, T., Yang, K., Bartel, A. N., Silla, E. M., Vest, N. A., Alibali, M. W., & Aleven, V. (2020). Pedagogical Affordance Analysis: Leveraging teachers’ pedagogical knowledge for eliciting pedagogical affordances and constraints of instructional tools. In Proceedings of the International Conferences of the Learning Sciences (ICLS2020). Nashville, TN. [paper]

 

  • Nagashima, T., Bartel, A. N., Silla, E. M., Vest, N. A., Alibali, M. W., & Aleven, V. (2020). Enhancing conceptual knowledge in early algebra through scaffolding diagrammatic self-explanation. In M. Gresalfi & I. S. Horn (Eds.), Proceedings of International Conference of the Learning Sciences (pp. 35-43). Nashville, TN: International Society of the Learning Sciences. [paper]