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Live coding is a pedagogical technique in which an instructor writes and executes code in front of students to impart skills like incremental development and debugging. Although live coding offers many benefits, instructors face many…

Human-Computer Interaction · Computer Science 2025-06-05 Xiaotian Su , April Wang

The pedagogy of teaching and learning has changed with the proliferation of communication technology and it is necessary to develop interactive learning materials for children that may improve their learning, catching, and memorizing…

Computers and Society · Computer Science 2014-11-11 Md. Baharul Islam , Md. Kabirul Islam , Arif Ahmed , Abu Kalam Shamsuddin

We present an approach to labeling short video clips with English verbs as event descriptions. A key distinguishing aspect of this work is that it labels videos with verbs that describe the spatiotemporal interaction between event…

Kinematics is a core topic in early physics courses, yet students often struggle to interpret motion and its graphical representations. To tackle these difficulties, we developed MissionMotion, a physical-computational videogame where…

This innovative practice category paper presents an innovative framework for teaching Reinforcement Learning (RL) at the undergraduate level. Recognizing the challenges posed by the complex theoretical foundations of the subject and the…

Computers and Society · Computer Science 2025-09-30 Muhammad Ahmed Atif , Mohammad Shahid Shaikh

In education there exists a tension between two modes of learning: traditional lecture-based instruction and more tinkering-based creative learning. In this paper, we outline our efforts as two Ph.D. students (who are skilled in…

Human-Computer Interaction · Computer Science 2024-04-18 Adam Hyland , Murtaza Ali

STEAM education integrates Science, Technology, Engineering, Arts, and Mathematics to foster creativity and problem-solving. However, students with visual impairments (VI) encounter significant challenges in programming and robotics,…

Human-Computer Interaction · Computer Science 2025-03-24 Mahmoud Hamash , Md Raqib Khan , Peter Tiernan

This paper presents a platform called RiPPLE (Recommendation in Personalised Peer-Learning Environments) that recommends personalized learning activities to students based on their knowledge state from a pool of crowdsourced learning…

Human-Computer Interaction · Computer Science 2019-10-15 Hassan Khosravi , Kirsty Kitto , Joseph Jay Williams

Feedback is one of the most crucial components to facilitate effective learning. With the rise of large language models (LLMs) in recent years, research in programming education has increasingly focused on automated feedback generation to…

Computers and Society · Computer Science 2025-09-05 Niklas Scholz , Manh Hung Nguyen , Adish Singla , Tomohiro Nagashima

Considering learner engagement has a mutual benefit for both learners and instructors. Instructors can help learners increase their attention, involvement, motivation, and interest. On the other hand, instructors can improve their…

Computer Vision and Pattern Recognition · Computer Science 2024-05-08 Somayeh Malekshahi , Javad M. Kheyridoost , Omid Fatemi

This paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We present a range of AI-based exercises that enable novel forms of practice and…

Computers and Society · Computer Science 2024-07-09 Ethan Mollick , Lilach Mollick

With the emergence of large-scale open online courses and online academic conferences, it has become increasingly feasible and convenient to access online educational resources. However, it is time consuming and challenging to effectively…

Human-Computer Interaction · Computer Science 2022-01-28 Jiaohao Weng , Chao Zhang , Xi Yang , Haoran Xie

We explore the automatic generation of interactive, scenario-based lessons designed to train novice human tutors who teach middle school mathematics online. Employing prompt engineering through a Retrieval-Augmented Generation approach with…

Asynchronous online discussions are common assignments in both hybrid and online courses to promote critical thinking and collaboration among students. However, the evaluation of these assignments can require considerable time and effort…

Human-Computer Interaction · Computer Science 2024-09-05 Yanye Luther , Marcia Moraes , Sudipto Ghosh , James Folkestad

Videos on the Internet are paired with pieces of text, such as titles and descriptions. This text typically describes the most important content in the video, such as the objects in the scene and the actions being performed. Based on this…

Computer Vision and Pattern Recognition · Computer Science 2021-08-31 Jonathan C. Stroud , Zhichao Lu , Chen Sun , Jia Deng , Rahul Sukthankar , Cordelia Schmid , David A. Ross

Investigating children's embodied learning in mixed-reality environments, where they collaboratively simulate scientific processes, requires analyzing complex multimodal data to interpret their learning and coordination behaviors. Learning…

Learning assessments are subject of discussions that envolve theoretical and practical approaches. To measure learning in physics by high school students, either qualitatively or quantitatively, is a process in which it should be possible…

Physics Education · Physics 2013-11-22 Eduardo Gama , Marta F. Barroso

Memes are an increasingly prevalent element of online discourse in social networks, especially among young audiences. They carry ideas and messages that range from humorous to hateful, and are widely consumed. Their potentially high impact…

With the rapid development of online education in recent years, there has been an increasing number of learning platforms that provide students with multi-step questions to cultivate their problem-solving skills. To guarantee the high…

Human-Computer Interaction · Computer Science 2020-09-29 Meng Xia , Reshika Palaniyappan Velumani , Yong Wang , Huamin Qu , Xiaojuan Ma

Learning to solve complex manipulation tasks from visual observations is a dominant challenge for real-world robot learning. Although deep reinforcement learning algorithms have recently demonstrated impressive results in this context, they…

Robotics · Computer Science 2022-01-20 Eugenio Chisari , Tim Welschehold , Joschka Boedecker , Wolfram Burgard , Abhinav Valada