nagashima[at]cs.uni-saarland.de

🎉 NEWS 🎉

(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)

Effort-based Feedback in Intelligent Tutoring Systems

Many intelligent tutoring systems employ “peformance-based feedback” that targets students’ problem-solving performance (i.e., whether a student-given input is correct or not). In the actual classroom, however, teachers give not just performance-based feedback but also “effort-based feedback” that addresses students’ effort, regardless of their problem-solving performance (e.g., “You are doing great, keep up the good work!”).

We designed an intelligent tutoring system for elementary math where the system gives learners a variety of effort-based feedback while they solve problems. A classroom study in a Japanese elementary school found that the system with effort-based feedback enhanced student learning outcomes (from pretest to posttest). When compared against a version with traditional performance-based feedback, there was no difference in terms of learning outcomes between the two systems.

Project members: Shintaro Sato (lead), Prof. Dr. Melanie Platz, and Tomo Nagashima

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