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In this paper, we investigate a novel deep-model reusing task. Our goal is to train a lightweight and versatile student model, without human-labelled annotations, that amalgamates the knowledge and masters the expertise of two pretrained…

Computer Vision and Pattern Recognition · Computer Science 2019-04-24 Jingwen Ye , Yixin Ji , Xinchao Wang , Kairi Ou , Dapeng Tao , Mingli Song

With all the opportunities and risks that technology holds in connection to our safe and sustainable future, it is becoming increasingly important to involve a larger portion of our society in becoming active co-creators of our digitalized…

Software Engineering · Computer Science 2023-01-31 Barbora Buhnova

A typical problem in MOOCs is the missing opportunity for course conductors to individually support students in overcoming their problems and misconceptions. This paper presents the results of automatically intervening on struggling…

Computers and Society · Computer Science 2018-09-27 Ralf Teusner , Thomas Hille , Thomas Staubitz

Using deep learning methods to detect the classroom behaviors of both students and teachers is an effective way to automatically analyze classroom performance and enhance teaching effectiveness. Then, there is still a scarcity of publicly…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Fan Yang

Most AI-based educational tools today adopt a one-on-one tutoring paradigm, pairing a single LLM with a single learner. Yet decades of learning science research suggest that multi-party interaction -- through peer modeling, co-construction,…

Human-Computer Interaction · Computer Science 2026-04-06 Harsh Kumar , Zi Kang , Mu , Jonathan Vincentius , Ashton Anderson

One challenge (or opportunity!) that many instructors face is how varied the backgrounds, abilities, and interests of students are. In order to simultaneously instill confidence in those with weaker preparations and still challenge those…

History and Overview · Mathematics 2024-11-07 Hung Viet Chu , Steven J. Miller , Joshua M. Siktar

Given a teacher that holds a function $f:X\to R$ from some class of functions $C$. The teacher can receive from the learner an element~$d$ in the domain $X$ (a query) and returns the value of the function in $d$, $f(d)\in R$. The learner…

Machine Learning · Computer Science 2017-06-14 Nader H. Bshouty

The goal of this paper is twofold. First, we introduce DALI, a large and rich multimodal dataset containing 5358 audio tracks with their time-aligned vocal melody notes and lyrics at four levels of granularity. The second goal is to explain…

Audio and Speech Processing · Electrical Eng. & Systems 2019-06-26 Gabriel Meseguer-Brocal , Alice Cohen-Hadria , Geoffroy Peeters

Early 2025 we ran a series of vibe coding challenges across four different student cohorts. The cohorts included 54 ICT students, 24 digital marketing students, and 7 journalism students at Fontys University of Applied Sciences…

Computers and Society · Computer Science 2026-05-11 Leon van Bokhorst , Koen Suilen

A quantitative method is suggested, where meanings of words, and grammatic rules about these, of a vocabulary are represented by real numbers. People meet randomly, and average their vocabularies if they are equal; otherwise they either…

Physics and Society · Physics 2009-11-13 Caglar Tuncay

In recent years, the integration of gamification into educational settings has garnered significant attention as a means to enhance student engagement and learning outcomes. By leveraging gamified elements such as points and leaderboards,…

Other Statistics · Statistics 2024-10-23 Eilidh Jack , Craig Alexander , Elinor M Jones

Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent's ability to learn useful behaviors by making intelligent use of the knowledge implicit in behaviors demonstrated by cooperative…

Machine Learning · Computer Science 2011-06-06 C. Boutilier , B. Price

Large-enrollment university courses face persistent challenges in providing timely and scalable instructional support. While generative AI holds promise, its effective use depends on reliability and pedagogical alignment. We present a…

Computers and Society · Computer Science 2026-03-31 Jérémy Barghorn , Anna Sotnikova , Sacha Friedli , Antoine Bosselut

Multi-turn dialogues between a child and a caregiver are characterized by a property called contingency - that is, prompt, direct, and meaningful exchanges between interlocutors. We introduce ContingentChat, a teacher-student framework that…

Computation and Language · Computer Science 2025-10-24 Suchir Salhan , Hongyi Gu , Donya Rooein , Diana Galvan-Sosa , Gabrielle Gaudeau , Andrew Caines , Zheng Yuan , Paula Buttery

During the 2017-18 academic year we carried out a series of coding activities, lasting about 3 months, in a third of the Giulia Falletti primary school in Barolo in Turin (Gena et a., 2020). These activities aimed to teach students not only…

Robotics · Computer Science 2022-09-07 Cristina Gena , Chiara Vaudano , Davide Cellie

Networking, operating systems, and cybersecurity skills are exercised best in an authentic environment. Students work with real systems and tools in a lab environment and complete assigned tasks. Since all students typically receive the…

Computers and Society · Computer Science 2022-01-05 Jan Vykopal , Valdemar Švábenský , Pavel Seda , Pavel Čeleda

GenAI has rapidly entered instructional and learning settings as a teaching assistant or AI tutor. However, less is known about how pedagogical intent connects to the learning generated within these systems, especially when student-facing…

Human-Computer Interaction · Computer Science 2026-04-21 Alex Liu , Min Sun , Lief Esbenshade , Victor Tian , Zachary Zhang , Kevin He

Transcripts of teaching episodes can be effective tools to understand discourse patterns in classroom instruction. According to most educational experts, sustained classroom discourse is a critical component of equitable, engaging, and rich…

Computation and Language · Computer Science 2022-04-21 Abhijit Suresh , Jennifer Jacobs , Charis Harty , Margaret Perkoff , James H. Martin , Tamara Sumner

Inspired by the cognitive science theory, we explicitly model an agent with both semantic and episodic memory systems, and show that it is better than having just one of the two memory systems. In order to show this, we have designed and…

Artificial Intelligence · Computer Science 2026-05-19 Taewoon Kim , Michael Cochez , Vincent Francois-Lavet , Mark Neerincx , Piek Vossen

This paper presents n-coding, a theoretical model of multiple internal mental representations. The n-coding construct is developed from a review of cognitive and imaging studies suggesting the independence of information processing along…

Physics Education · Physics 2009-11-11 Nathaniel Lasry , Mark W. Aulls