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Digital agents are considered a general-purpose technology. They spread quickly in private and organizational contexts, including education. Yet, research lacks a conceptual framing to describe interaction with such agents in a holistic…

Human-Computer Interaction · Computer Science 2024-08-09 Mateusz Dolata , Dzmitry Katsiuba , Natalie Wellnhammer , Gerhard Schwabe

Due to the interdisciplinary nature of complex systems as a field, students studying complex systems at University level have diverse disciplinary backgrounds. This brings challenges (e.g. wide range of computer programming skills) but also…

This research full paper investigates the factors influencing computing educators' adoption of project-based learning (PjBL) in software engineering and computing curricula. Recognized as a student-centered pedagogical approach, PjBL has…

Software Engineering · Computer Science 2025-07-25 Ahmad D. Suleiman , Yiming Tang , Daqing Hou

Group work is becoming increasingly common in introductory physics classrooms. Understanding how students engage in these group learning environments is important for designing and facilitating productive learning opportunities for…

Physics Education · Physics 2018-01-23 Alanna Pawlak , Paul W. Irving , Marcos D. Caballero

Large language models (LLMs) are becoming increasingly embedded in students' learning practices, yet much of what is known about how students use LLMs and how this usage impacts learning comes from problem-solving domains or constrained…

Human-Computer Interaction · Computer Science 2026-05-07 Minju Park , Ivan Orozco Vasquez , Cristina Conati

The effective integration of generative artificial intelligence in education is a fundamental aspect to prepare future generations. The objective of this study is to analyze from a quantitative and qualitative point of view the perception…

Computers and Society · Computer Science 2024-09-04 Sergio Altares-López , José M. Bengochea-Guevara , Carlos Ranz , Héctor Montes , Angela Ribeiro

To identify a stationary action profile for a population of competitive agents, each executing private strategies, we introduce a novel active-learning scheme where a centralized external observer (or entity) can probe the agents' reactions…

Systems and Control · Electrical Eng. & Systems 2024-10-10 Filippo Fabiani , Alberto Bemporad

Web search is among the most ubiquitous online activities, commonly used to acquire new knowledge and to satisfy learning-related objectives through informational search sessions. The importance of learning as an outcome of web search has…

Human-Computer Interaction · Computer Science 2018-06-29 Ran Yu , Ujwal Gadiraju , Stefan Dietze

Flipped classrooms promote active learning by having students engage with materials independently before class, allowing in-class time for collaborative problem-solving. During this pre-class phase, asynchronous online discussions help…

Human-Computer Interaction · Computer Science 2025-09-03 Weirui Peng , Yinuo Yang , Zheng Zhang , Toby Jia-Jun Li

This full paper in the research track evaluates the usage of data logged from cybersecurity exercises in order to predict students who are potentially at risk of performing poorly. Hands-on exercises are essential for learning since they…

Teaching is about constantly innovating strategies, ways and means to engage diverse students in active and meaningful learning. In line with this, SUTD adopts various student-centric teaching and learning teaching methods and approaches.…

Computers and Society · Computer Science 2020-10-30 Nachamma Sockalingam , Junhua Liu

Quality education, one of the seventeen sustainable development goals (SDGs) identified by the United Nations General Assembly, stands to benefit enormously from the adoption of artificial intelligence (AI) driven tools and technologies.…

Computers and Society · Computer Science 2023-01-25 Sruti Mallik , Ahana Gangopadhyay

E-learning; enhanced by communicating and interacting is becoming increasingly accepted and this puts Web 2.0 at the center of the new educational technologies. E-Learning 2.0 emerges as an innovative method of online learning for its…

Computers and Society · Computer Science 2010-04-16 Kamaljit I. Lakhtaria , Paresh Patel , Ankita Gandhi

Intelligent systems have the ability to improve their behaviour over time taking observations, experiences or explicit feedback into account. Traditional approaches separate the learning problem and make isolated use of techniques from…

Machine Learning · Computer Science 2022-01-12 Simon Reichhuber , Sven Tomforde

With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of support from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence…

Artificial Intelligence · Computer Science 2024-12-13 Yizhou Fan , Luzhen Tang , Huixiao Le , Kejie Shen , Shufang Tan , Yueying Zhao , Yuan Shen , Xinyu Li , Dragan Gašević

In this work, we investigate how two factors, metacognitive skills and motivation, would impact student learning across domains. More specifically, our primary goal is to identify the critical, yet robust, interaction patterns of these two…

Human-Computer Interaction · Computer Science 2023-03-27 Mark Abdelshiheed , Guojing Zhou , Mehak Maniktala , Tiffany Barnes , Min Chi

Online tools provide unique access to research students' study habits and problem-solving behavior. In MOOCs, this online data can be used to inform instructors and to provide automatic guidance to students. However, these techniques may…

Computers and Society · Computer Science 2019-04-17 Adithya Sheshadri , Niki Gitinabard , Collin F. Lynch , Tiffany Barnes , Sarah Heckman

Distance learning is not a novel concept. Education or learning conducted online is a form of distance education. Online learning presents a convenient alternative to traditional learning. Numerous researchers have investigated the usage of…

Computers and Society · Computer Science 2023-03-28 J. Dulangi Kanchana , Gayashan Amarasinghe , Vishaka Nanayakkara , Amal Shehan Perera

Multimodal learning enables neural networks to integrate information from heterogeneous sources, but active learning in this setting faces distinct challenges. These include missing modalities, differences in modality difficulty, and…

Machine Learning · Computer Science 2026-04-01 Dustin Eisenhardt , Yunhee Jeong , Florian Buettner

Amid the growing need to keep learners abreast of rapid technological advancements brought about by the Fourth Industrial Revolution, this study explores perceived needs of students in virtual learning environments supported by emerging…