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Automated surgical workflow analysis is crucial for education, research, and clinical decision-making, but the lack of annotated datasets hinders the development of accurate and comprehensive workflow analysis solutions. We introduce a…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 David Gastager , Ghazal Ghazaei , Constantin Patsch

Making and distributing audio recordings of lectures is cheap and technically straightforward, and these recordings represent an underexploited teaching resource. We explore the reasons why such recordings are not more used; we believe the…

Physics Education · Physics 2013-11-08 Norman Gray , Nicolas Labrosse , Sarah Honeychurch , Steve Draper , Niall Barr

Observation of classroom interactions can provide concrete feedback to teachers, but current methods rely on manual annotation, which is resource-intensive and hard to scale. This work explores AI-driven analysis of classroom recordings,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Ivo Bueno , Ruikun Hou , Babette Bühler , Tim Fütterer , James Drimalla , Jonathan Kyle Foster , Peter Youngs , Peter Gerjets , Ulrich Trautwein , Enkelejda Kasneci

The COVID-19 pandemic has revealed the importance of digital fabrication to enable online learning, which remains a challenge for robotics courses. We introduce a teaching methodology that allows students to participate remotely in a…

While videoconferencing is prevalent, concurrent participation channels are limited. People experience challenges keeping up with the discussion, and misunderstanding frequently occurs. Through a formative study, we probed into the design…

Human-Computer Interaction · Computer Science 2023-09-22 Xinyue Chen , Shuo Li , Shipeng Liu , Robin Fowler , Xu Wang

Feedback is important in supporting student learning. While various automated feedback systems have been implemented to make the feedback scalable, many existing solutions only focus on generating text-based feedback. As is indicated in the…

Human-Computer Interaction · Computer Science 2025-10-03 Chloe Qianhui Zhao , Jie Cao , Eason Chen , Kenneth R. Koedinger , Jionghao Lin

Humans engage in learning and reviewing processes with curricula when acquiring new skills or knowledge. This human learning behavior has inspired the integration of curricula with replay methods in continual learning agents. The goal is to…

Machine Learning · Computer Science 2023-07-26 Ren Jie Tee , Mengmi Zhang

In computational physics, chemistry, and biology, the implementation of new techniques in a shared and open source software lowers barriers to entry and promotes rapid scientific progress. However, effectively training new software users…

Most education and workplace learning takes place in classroom contexts far removed from laboratories or field sites with special arrangements for scientific research. But digital online resources provide a novel opportunity for large scale…

Computers and Society · Computer Science 2015-02-17 Joseph Jay Williams , Juho Kim , Brian C. Keegan

Generative AI, which is capable of transforming static content into dynamic learning experiences, holds the potential to revolutionize student engagement in educational contexts. However, questions still remain around whether or not these…

We present U-Note, an augmented teaching and learning system leveraging the advantages of paper while letting teachers and pupils benefit from the richness that digital media can bring to a lecture. U-Note provides automatic linking between…

Human-Computer Interaction · Computer Science 2012-02-20 Sylvain Malacria , Thomas Pietrzak , Aurélien Tabard , Éric Lecolinet

As reading on mobile devices is becoming more ubiquitous, content is consumed in shorter intervals and is punctuated by frequent interruptions. In this work, we explore the best way to mitigate the effects of reading interruptions on longer…

Human-Computer Interaction · Computer Science 2021-04-15 Namrata Srivastava , Rajiv Jain , Jennifer Healey , Zoya Bylinskii , Tilman Dingler

As Large Language Models (LLMs) and other forms of Generative AI permeate various aspects of our lives, their application for learning and education has provided opportunities and challenges. This paper presents an investigation into the…

Computers and Society · Computer Science 2023-06-06 Daniel Leiker , Sara Finnigan , Ashley Ricker Gyllen , Mutlu Cukurova

Human-centered AI considers human experiences with AI performance. While abundant research has been helping AI achieve superhuman performance either by fully automatic or weak supervision learning, fewer endeavors are experimenting with how…

Artificial Intelligence · Computer Science 2022-08-08 Yilei Zeng , Jiali Duan , Yang Li , Emilio Ferrara , Lerrel Pinto , C. -C. Jay Kuo , Stefanos Nikolaidis

The automated generation of research workflows is essential for improving the reproducibility of research and accelerating the paradigm of "AI for Science". However, existing methods typically extract merely fragmented procedural components…

Computation and Language · Computer Science 2025-09-24 Heng Zhang , Chengzhi Zhang

The better developers can learn software tools, the faster they can start using them and the more efficiently they can later work with them. Tutorials are supposed to help here. While in the early days of computing, mostly text tutorials…

Software Engineering · Computer Science 2017-04-04 Verena Käfer , Daniel Kulesz , Stefan Wagner

Preparing high-quality instructional materials remains a labor-intensive process that often requires extensive coordination among teaching faculty, instructional designers, and teaching assistants. In this work, we present Instructional…

Artificial Intelligence · Computer Science 2026-02-03 Huaiyuan Yao , Wanpeng Xu , Justin Turnau , Nadia Kellam , Hua Wei

In this work, we (1) introduce Curriculum Instruction Tuning, (2) explore the potential advantages of employing diverse curriculum strategies, and (3) delineate a synthetic instruction-response generation framework that complements our…

Computation and Language · Computer Science 2024-06-18 Bruce W. Lee , Hyunsoo Cho , Kang Min Yoo

YouTube is widely used for informal learning, where learners explore lectures and tutorials without a predefined curriculum. However, learning across videos remains fragmented: learners must decide what to watch, how videos relate, and how…

Human-Computer Interaction · Computer Science 2026-04-07 Dina Albassam , Kexin Quan , Mengke Wu , Sanika Pande , ChengXiang Zhai , Yun Huang

COVID-19 has significantly affected universities, forcing many courses to be delivered entirely online. As countries bring the pandemic under control, a potential way to safely resume some face-to-face teaching is the synchronous hybrid…

Computers and Society · Computer Science 2022-01-19 Christopher M. Poskitt , Kyong Jin Shim , Yi Meng Lau , Hong Seng Ong