Tootfinder

Just reported that I found a couple of dead Salamander at beginning of August in the #Karwendel . 😞
Luckily I was following the Blog of karwendel.org. Otherwise I wouldn't have known that reports about such incidents should be reported:

Tatterfrau, Tattermann und der Salamander-Fresser - Naturpark Karwendel ⛰️
Eine Pilz-Krankheit breitet sich unter heimischen Salamander- und Molch-Arten aus. Deshalb sollen kranke Alpensalamander gemeldet werden.

AI Knows Best? The Paradox of Expertise, AI-Reliance, and Performance in Educational Tutoring Decision-Making Tasks
Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho, Kenneth Koedinger
https://arxiv.org/abs/2509.16772

AI Knows Best? The Paradox of Expertise, AI-Reliance, and Performance in Educational Tutoring Decision-Making Tasks
We present an empirical study of how both experienced tutors and non-tutors judge the correctness of tutor praise responses under different Artificial Intelligence (AI)-assisted interfaces, types of explanation (textual explanations vs. inline highlighting). We first fine-tuned several Large Language Models (LLMs) to produce binary correctness labels and explanations, achieving up to 88% accuracy and 0.92 F1 score with GPT-4. We then let the GPT-4 models assist 95 participants in tutoring decis…

Luiz Pessoa: Beyond billard ball causation in the brain!
https://www.thetransmitter.org/the-big-picture/beyond-newtonian-causation-in-neuroscience-embracing-complex-causality/
@…

Beyond Newtonian causation in neuroscience: Embracing complex causality
The traditional mechanistic framework must give way to a richer understanding of how brains actually generate behavior over time.

Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
Yahya Badran, Christine Preisach
https://arxiv.org/abs/2508.16269 https:/…

Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
Personalized recommendation is a key feature of intelligent tutoring systems, typically relying on accurate models of student knowledge. Knowledge Tracing (KT) models enable this by estimating a student's mastery based on their historical interactions. Many KT models rely on human-annotated knowledge concepts (KCs), which tag each exercise with one or more skills or concepts believed to be necessary for solving it. However, these KCs can be incomplete, error-prone, or overly general. In this …

Replaced article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- Towards Goal-oriented Intelligent Tutoring Systems in Online Education
Yang Deng, Zifeng Ren, An Zhang, Tat-Seng Chua

📢 Theatermacher Claus Peymann gestorben
Der Theatermacher Claus Peymann ist tot. Der Regisseur und frühere Intendant zahlreicher Bühnen starb im Alter von 88 Jahren in Berlin. Das teilte die frühere Geschäftsführerin des Berliner Ensembles der Nachrichtenagentur dpa mit. Zuvor hatten mehrere Medien berichtet.
➡️

Theatermacher Claus Peymann gestorben
Der Theatermacher Claus Peymann ist tot. Der Regisseur und frühere Intendant zahlreicher Bühnen starb im Alter von 88 Jahren in Berlin. Das teilte die frühere Geschäftsführerin des Berliner Ensembles der Nachrichtenagentur dpa mit. Zuvor hatten mehrere Medien berichtet.

🇺🇦 #NowPlaying on #BBC6Music's #NickGrimshaw
The Drums:
🎵 Let's Go Surfing
#TheDrums
https://iruka.bandcamp.com/track/the-drums-lets-go-surfing
https://open.spotify.com/track/09hO3jK7rXMLDk32NxIbSn

DA-Mamba: Dialogue-aware selective state-space model for multimodal engagement estimation
Shenwei Kang, Xin Zhang, Wen Liu, Bin Li, Yujie Liu, Bo Gao
https://arxiv.org/abs/2509.17711

DA-Mamba: Dialogue-aware selective state-space model for multimodal engagement estimation
Human engagement estimation in conversational scenarios is essential for applications such as adaptive tutoring, remote healthcare assessment, and socially aware human--computer interaction. Engagement is a dynamic, multimodal signal conveyed by facial expressions, speech, gestures, and behavioral cues over time. In this work we introduce DA-Mamba, a dialogue-aware multimodal architecture that replaces attention-heavy dialogue encoders with Mamba-based selective state-space processing to achiev…

Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving
Liang Zhang, Xiaoming Zhai, Jionghao Lin, Jionghao Lin, Jennifer Kleiman, Diego Zapata-Rivera, Carol Forsyth, Yang Jiang, Xiangen Hu, Arthur C. Graesser
https://arxiv.org/abs/2507.17753

Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving
Large Language Model (LLM) agents are increasingly utilized in AI-aided education to support tutoring and learning. Effective communication strategies among LLM agents improve collaborative problem-solving efficiency and facilitate cost-effective adoption in education. However, little research has systematically evaluated the impact of different communication strategies on agents' problem-solving. Our study examines four communication modes, \textit{teacher-student interaction}, \textit{peer-to…

Chapter 11 Students' interaction with and appreciation of automated informative tutoring feedback
Gerben van der Hoek, Bastiaan Heeren, Rogier Bos, Paul Drijvers, Johan Jeuring
https://arxiv.org/abs/2507.15650

Chapter 11 Students' interaction with and appreciation of automated informative tutoring feedback
Computer aided formative assessment can be used to enhance a learning process, for instance by providing feedback. There are many design choices for delivering feedback, that lead to a feedback strategy. In an informative feedback strategy, students do not immediately receive information about the correct response, but are offered the opportunity to retry a task to apply feedback information. In this small-scale qualitative study, we explore an informative feedback strategy designed to offer a …