Project

AlgeSPACE

Algebra Scaffolding with Pedagogical Agents and Concrete Examples

In this multi-stage research project, we design and study an adaptive mathematics tutoring environment for algebra learning. The system combines real-world concrete examples, support for strategic flexibility in problem solving, personalized pedagogical agents, and self-regulated learning scaffolds such as goal setting and motivational prompts.

Research Questions

  1. How might we design an interactive system that reflects both practical teaching goals (e.g., real-world examples, strategic flexibility in problem solving) and research goals (e.g., conceptual understanding and choice-making behaviors)?
  2. How would personalized, motivational pedagogical agents influence students’ learning outcomes and choice-making behaviors over time?
  3. How would adaptive goal-setting functionalities improve students’ self-regulated learning and motivation in a mathematics tutoring platform such as AlgeSPACE?

Learning Environment

AlgeSPACE provides four learning modules:

Equalization method animation

Equalization Method

Elimination method animation

Elimination Method

Substitution method animation

Substitution Method

Flexibility training animation

Flexibility Training

Scientific Outputs

Project Team

Developers

Katharina Bonaventura (AlgeSPACE 1.0)

Helene Nuettgens (Personalized version)

Samarth Joshi (Goal-setting version)

Researchers

Prof. Tomohiro Nagashima (PI and Project Lead)

Dr. Man Echo Su (Postdoc and Project Management)

Prof. Andy Nguyen, Ms. Belle Dang (Collaborator at Oulu University)

Prof. Maria Theobald (Collaborator at Trier University)

Ms. Nina Quach, Ms. Meiyi Chen

School Partners

Teacher collaborators in Germany (including Saarland, Hessen, and Rheinland-Pfalz) supporting co-design and classroom studies.

Join us?