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To perform contingent teaching and be responsive to students' needs during class, lecturers must be able to quickly assess the state of their audience. While effective teachers are able to gauge easily the affective state of the students,…

计算机视觉与模式识别 · 计算机科学 2021-05-31 Richard Klein , Turgay Celik

The growing adoption of interactive learning tools in higher education offers new opportunities to enhance student performance and well-being. This study compares the effects of traditional and interactive learning methods on academic…

人机交互 · 计算机科学 2026-04-20 Siva Raja Sindiramutty

The rise of AI, especially Large Language Models, presents challenges and opportunities to integrate such technology into the classroom. AI has the potential to revolutionize education by helping teaching staff with various tasks, such as…

人机交互 · 计算机科学 2025-07-01 Jarne Thys , Sebe Vanbrabant , Davy Vanacken , Gustavo Rovelo Ruiz

We present a demonstration of REACT, a new Real-time Educational AI-powered Classroom Tool that employs EDM techniques for supporting the decision-making process of educators. REACT is a data-driven tool with a user-friendly graphical…

计算机与社会 · 计算机科学 2021-08-18 Ajay Kulkarni , Olga Gkountouna

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…

计算机视觉与模式识别 · 计算机科学 2024-05-08 Somayeh Malekshahi , Javad M. Kheyridoost , Omid Fatemi

This paper explores integrating microlearning strategies into university curricula, particularly in computer science education, to counteract the decline in class attendance and engagement in US universities after COVID. As students…

This study explores the relationship between textual features and Information Engagement (IE) on digital platforms. It highlights the impact of computational linguistics and analytics on user interaction. The READ model is introduced to…

计算与语言 · 计算机科学 2024-09-04 Nimrod Dvir

With the increase of distance learning, in general, and e-learning, in particular, having a system capable of determining the engagement of students is of primordial importance, and one of the biggest challenges, both for teachers,…

Maintaining engagement of large audiences is not easy. Traditionally, lectures and presentations rely on one-way communication from the presenter to the listening audience. Without receiving ongoing feedback, speakers cannot be sure that…

计算机与社会 · 计算机科学 2016-06-07 Shadi Esnaashari , Anuradha Mathrani , Paul Watters

With the rise of online and virtual learning, monitoring and enhancing student engagement have become an important aspect of effective education. Traditional methods of assessing a student's involvement might not be applicable directly to…

机器学习 · 计算机科学 2025-10-28 James Thiering , Tarun Sethupat Radha Krishna , Dylan Zelkin , Ashis Kumer Biswas

Supporting equitable instruction is an important issue for teachers attending diverse STEM classrooms. Visual learning analytics along with effective student survey measures can support providing on time feedback to teachers in making…

人机交互 · 计算机科学 2024-01-17 Ali Raza , William R. Penuel , Tamara Sumner

With the growing use of artificial intelligence in classrooms and online learning, it has become important to understand how students actually interact with AI tools and how such interactions match with traditional ways of learning. In this…

应用统计 · 统计学 2025-12-02 Prathamesh Muzumdar , Sumanth Cheemalapati

The increasing adoption of smart classroom technologies in higher education has mainly focused on automating attendance, with limited attention given to students' emotional and cognitive engagement during lectures. This limits instructors'…

人工智能 · 计算机科学 2026-01-14 Keith Ainebyona , Ann Move Oguti , Joseph Walusimbi , Ritah Kobusingye

This study presents high-throughput, real-time multi-agent affective computing framework designed to enhance classroom learning through emotional state monitoring. As large classroom sizes and limited teacher student interaction…

计算机视觉与模式识别 · 计算机科学 2026-03-18 Hai Nguyen , Hieu Dao , Hung Nguyen , Nam Vu , Cong Tran

AI technologies that sense student attention and emotions to enable more personalised teaching interventions are increasingly promoted, but raise pressing questions about student learning, well-being, and ethics. In particular, students'…

人机交互 · 计算机科学 2026-02-12 Bingyi Han , Ying Ma , Simon Coghlan , Dana McKay , George Buchanan , Wally Smith

The flipped classroom model has been widely acknowledged as a practical pedagogical approach to enhancing student engagement and learning. However, it faces challenges such as improving student interaction with learning content and peers,…

物理教育 · 物理学 2024-09-20 Mehrasa Alizadeh

Sustained effort is essential for realizing the benefits of intelligent tutoring systems (ITS), yet many learners disengage or underuse available practice time. We introduce engagement forecasting as a supervised prediction task based on…

机器学习 · 计算机科学 2026-05-14 Eric S. Qiu , Danielle R. Thomas , Boyuan Guo , Vincent Aleven , Conrad Borchers

In recent times, online education and the usage of video-conferencing platforms have experienced massive growth. Due to the limited scope of a virtual classroom, it may become difficult for instructors to analyze learners' attention and…

计算机视觉与模式识别 · 计算机科学 2024-12-03 Sharva Gogawale , Madhura Deshpande , Parteek Kumar , Irad Ben-Gal

As generative AI becomes increasingly integrated into higher education, understanding how students engage with these technologies is essential for responsible adoption. This study evaluates the Educational AI Hub, an AI-powered learning…

计算机与社会 · 计算机科学 2025-10-29 Ramteja Sajja , Yusuf Sermet , Brian Fodale , Ibrahim Demir

With advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of Interactive Educational Systems (IESs), data-driven approach has become a common recipe for various tasks such as knowledge tracing and learning path…

计算机与社会 · 计算机科学 2020-07-02 Youngduck Choi , Youngnam Lee , Dongmin Shin , Junghyun Cho , Seoyon Park , Seewoo Lee , Jineon Baek , Chan Bae , Byungsoo Kim , Jaewe Heo
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