Self-Regulated Learning and Adaptive Learner

Research theme

We co-design technology to foster autonomous learners who can set goals, make choices, and adapt their learning strategically.

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Projects

AlgeSPACE Goal-Setting
Active
AlgeSPACE Goal-Setting
Funded by: Saarland University START Funding

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algespacechoicemakingSRL
Team
Dr. Man (Echo) Su
Samarth Joshi
Nina Quach
PD
Prof. Dr. Tomohiro Nagashima
Dr., Samarth, Nina, Prof., Prof.
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AlgeSPACE Personalized Agents
Active
AlgeSPACE Personalized Agents

Many interactive learning environments provide scaffolding that asks students to perform certain metacognitive strategies during learning (e.g., self-explanation). While such interventions often lead to effective […]

algespaceadaptivitypedagogical agents
Team
DM
Helene Nuettgens
Katharina Bonaventura
Prof. Dr. Tomohiro Nagashima
Dr., Helene, Katharina, Prof.
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Supporting self-regulated choices in intelligent tutors
Completed
Supporting self-regulated choices in intelligent tutors
Funded by: NSF (National Science Foundation)

One important goal of instruction is to support students’ self-regulated choice making during learning. How might we support students’ strategic choice-making behaviors? In my dissertation, […]

choice-makingSRL
Team
Prof. Dr. Tomohiro Nagashima
PV
Prof., Prof.
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People

Lab members connected to projects in this theme.

Dr. Man (Echo) Su
Dr. Man (Echo) Su
Postdoc
Samarth Joshi
Samarth Joshi
Master's student
Nina Quach
Nina Quach
Master's student
PD
Prof. Dr. Maria Theobald
Prof. Dr. Tomohiro Nagashima
Prof. Dr. Tomohiro Nagashima
Lab Director
DM
Dr. Man Su
Helene Nuettgens
Helene Nuettgens
Master's student
Katharina Bonaventura
Katharina Bonaventura
Master's student
PV
Prof. Vincent Aleven (CMU)

Publications

Publications linked directly to these projects or sharing their research topics.