nagashima[at]cs.uni-saarland.de

🎉 NEWS 🎉

(May 2024) Our lab’s work will be presented/published at CHI, ISLS, CogSci, IDC (LDT), and EARLI SIG16 conferences! See Publications for more info.

(April 2024) AlgeSPACE project on SIC news and university news

(Mar 2024) Our lab will offer two new seminars in SS2024 – check them out here.

(Mar 2024) We will be at the Tag der digitalen Bildung (The Digital Education Day) in Saarland!

(Feb 2024) We have launched AlgeSPACE — a collection of free interactive exercises for teaching and learning how to solve systems of equations.

(Oct 2023) New grant (with Sarah Malone) on co-designing a learning dashboard on AI in Education with university students at Saarland.

(Sep 2023) Won the PRESTO (“Sakigake”) grant! (€300K) We will work on participatory design research with school students and teachers in Germany and Japan to design an intelligent system with a focus on student agency.

(Aug 2023) Echo has joined the lab as a postdoc from ASU! Learn more about her.

(Apr 2023) Starting a new role as a Visiting Professor at Hokkaido University in Japan!

(Mar 2023) Gave a talk at CAIS in Bochum

(Feb 2023) Gave a talk at ETH Zürich (FLI Colloquia)

(Dec 2022) Launched the “Future+Learning” working group with Lis Sylvan and Sandra Cortesi @BKC Harvard

(Nov 2022) Moved to Germany to start my TT position at Saarland University!

(June 2021) Our ISLS paper was nominated for Best Design Paper!

(April 2021) We were at the ED Games Expo! Here’s our entry.

(Dec 2020) Won the Fred Mulder Open Education Practice Award!

(Nov 2020) Gave a talk at Keio Univ.

(Nov 2020) Won an AECT award!

(Nov 2020) Presented at OpenEd20

(Oct 2020) Made a tape diagram template (available under CC-BY-NC)

MathChoice

Studies have found that students learn well when instruction follows the “concreteness fading” principle (i.e., that starts with concrete representations, then gradually becomes more abstract). However, the argument does not consider how important it is for students to make such choices (e.g., when to change to abstract representations).

We leverage intelligent learning technology to understand students’ fine-grained choice behaviors and how interventions on recommending vs. forcing certain choice patterns impact student learning. That is, we are testing whether giving students agency in making decisions on what to choose (from multiple concrete and abstract representations) makes a difference.

Project members: Helena Kilger (lead), Echo Su, and Tomo Nagashima

More information coming soon – if interested, please get in touch!