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Generating models from large data sets -- and determining which subsets of data to mine -- is becoming increasingly automated. However choosing what data to collect in the first place requires human intuition or experience, usually supplied…

Computers and Society · Computer Science 2014-05-20 Josh C. Bongard , Paul D. H. Hines , Dylan Conger , Peter Hurd , Zhenyu Lu

How students utilize immediate tutoring feedback in programming education depends on various factors. Among them are the feedback quality, but also students' engagement, i.e., their perception, interpretation, and use of feedback. However,…

Computers and Society · Computer Science 2025-11-19 Sven Jacobs , Jan Haas , Natalie Kiesler

A teaching experiment was carried out in a university-level thermodynamics course using adaptive and interactive e-learning material, created in the new Moodle question type Stateful extending the original e-learning platform STACK. The…

Physics Education · Physics 2024-03-08 Matti Harjula , Ville Havu , Inkeri Kontro , Kimmo Kulmala , Jarmo Malinen , Petri Salo

We present a shared data model for enabling data science in Massive Open Online Courses (MOOCs). The model captures students interactions with the online platform. The data model is platform agnostic and is based on some basic core actions…

Information Retrieval · Computer Science 2014-06-10 Kalyan Veeramachaneni , Sherif Halawa , Franck Dernoncourt , Una-May O'Reilly , Colin Taylor , Chuong Do

The aim of this paper is to categorize and describe different types of learners in massive open online courses (MOOCs) by means of a subgroup discovery approach based on MapReduce. The final objective is to discover IF-THEN rules that…

Computers and Society · Computer Science 2024-03-12 J. M. Luna , H. M. Fardoun , F. Padillo , C. Romero , S. Ventura

We examine the process of engineering features for developing models that improve our understanding of learners' online behavior in MOOCs. Because feature engineering relies so heavily on human insight, we argue that extra effort should be…

Computers and Society · Computer Science 2014-07-22 Kalyan Veeramachaneni , Una-May O'Reilly , Colin Taylor

Teachers in conventional classrooms often ask learners to express themselves and show their thought processes by speaking out loud, drawing on a whiteboard, or even using physical objects. Despite the pedagogical value of such activities,…

Computers and Society · Computer Science 2015-07-07 Juho Kim , Elena L. Glassman , Andrés Monroy-Hernández , Meredith Ringel Morris

Multi-agent AI systems, which simulate diverse instructional roles such as teachers and peers, offer new possibilities for personalized and interactive learning. Yet, student-AI interaction patterns and their pedagogical implications remain…

Human-Computer Interaction · Computer Science 2026-03-24 Zhanxin Hao , Jie Cao , Ruimiao Li , Jifan Yu , Zhiyuan Liu , Yu Zhang

While Large Language Models (LLMs) are often used as virtual tutors in computer science (CS) education, this approach can foster passive learning and over-reliance. This paper presents a novel pedagogical paradigm that inverts this model:…

Computers and Society · Computer Science 2025-08-11 Xinming Yang , Haasil Pujara , Jun Li

Activity-based learning helps students to learn through participation. A virtual codeathon activity, as part of this learning scheme, was conducted for 180 undergraduate students to focus on analysis and design of solutions to crucial…

Computers and Society · Computer Science 2021-07-23 Preetha S , Rajeshwari K , Anitha C , Kausthub Narayan

Adaptive learning aims to stimulate and meet the needs of individual learners, which requires sophisticated system-level coordination of diverse tasks, including modeling learning resources, estimating student states, and making…

Computers and Society · Computer Science 2022-08-10 Qingyang Zhong , Jifan Yu , Zheyuan Zhang , Yiming Mao , Yuquan Wang , Yankai Lin , Lei Hou , Juanzi Li , Jie Tang

As online communities become increasingly popular, researchers have tried to examine participating activities in online communities as well as how to sustain online communities. However, relatively few studies have tried to understand what…

Social and Information Networks · Computer Science 2012-03-12 Xuequn Wang , Yanjun Yu

Active learning comprises many varied techniques that engage students actively in the construction of their understanding. Because of this variation, different active learning techniques may be best suited to achieving different learning…

General Economics · Economics 2025-08-11 Sarah A. Jacobson , Luyao Zhang , Jiasheng Zhu

The kind of help a student receives during a task has been shown to play a significant role in their learning process. We designed an interaction scenario with a robotic tutor, in real-life settings based on an inquiry-based learning task.…

Human-Computer Interaction · Computer Science 2018-06-21 Maria Blancas-Muñoz , Vasiliki Vouloutsi , Riccardo Zucca , Anna Mura , Paul F. M. J. Verschure

Professional development workshops are commonly used to promote the adoption of research-based instructional strategies among physics and astronomy faculty. After learning about such strategies, faculty are often motivated to modify and…

Physics Education · Physics 2015-12-02 Alice Olmstead , Chandra Turpen

We present a novel learning analytics approach, for analyzing the usage of resources in MOOCs. Our target stakeholders are the course designers who aim to evaluate their learning materials. In order to gain insight into the way educational…

Computers and Society · Computer Science 2017-10-18 Remi Brochenin , Joos Buijs , Mehrnoosh Vahdat , Wil van der Aalst

This article presents the results of a study which concerns Instrumented Collective Learning Situations (ICLS) used in higher education and according to different actors's point of view (instructional designer and tutor). Considered actors…

Computers and Society · Computer Science 2009-06-18 Christine Michel , Sebastien George , Elise Garrot

Curiosity is a vital metacognitive skill in educational contexts, leading to creativity, and a love of learning. And while many school systems increasingly undercut curiosity by teaching to the test, teachers are increasingly interested in…

Machine Learning · Computer Science 2022-04-04 Tanmay Sinha , Zhen Bai , Justine Cassell

Recent advances in multimodal foundation models have achieved state-of-the-art performance across a range of tasks. These breakthroughs are largely driven by new pre-training paradigms that leverage large-scale, unlabeled multimodal data,…

Machine Learning · Computer Science 2025-06-10 Xiaojun Shan , Qi Cao , Xing Han , Haofei Yu , Paul Pu Liang

Informal learning on the Web using search engines as well as more structured learning on MOOC platforms have become very popular in recent years. As a result of the vast amount of available learning resources, intelligent retrieval and…

Information Retrieval · Computer Science 2022-12-14 Christian Otto , Markos Stamatakis , Anett Hoppe , Ralph Ewerth