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Related papers: Evidence-based teaching: how do we all get there?

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In this paper, we investigate collaborative active learning, a paradigm in which multiple collaborators explore a new domain by leveraging their combined machine learning capabilities without disclosing their existing data and models.…

Machine Learning · Computer Science 2024-03-28 Zan-Kai Chong , Hiroyuki Ohsaki , Bryan Ng

Personalization and active learning are key aspects to successful learning. These aspects are important to address in intelligent educational applications, as they help systems to adapt and close the gap between students with varying…

Asynchronous learning environments (ALEs) are widely adopted for formal and informal learning, but timely and personalized support is often limited. In this context, Virtual Teaching Assistants (VTAs) can potentially reduce the workload of…

Computation and Language · Computer Science 2025-09-23 Li Siyan , Zhen Xu , Vethavikashini Chithrra Raghuram , Xuanming Zhang , Renzhe Yu , Zhou Yu

Active learning enables efficient model training by leveraging interactions between machine learning agents and human annotators. We study and propose a novel framework that formulates batch active learning from the sparse approximation's…

Machine Learning · Computer Science 2022-11-08 Maohao Shen , Bowen Jiang , Jacky Yibo Zhang , Oluwasanmi Koyejo

Computer science education is a dynamic field with many aspects that influence the learner's path. While these aspects are usually studied in depth separately, it is also important to carry out broader large-scale studies that touch on many…

Data science education is increasingly involving human subjects and societal issues such as privacy, ethics, and fairness. Data scientists need to be equipped with skills to tackle the complexities of the societal context surrounding their…

Computers and Society · Computer Science 2022-05-02 Deniz Marti , Michael D. Smith

The rapid adoption of LLM-based conversational systems is already transforming the landscape of educational technology. However, the current state-of-the-art learning models do not take into account the student's affective states. Multiple…

When a teacher provides examples for a student to study, these examples must be informative, enabling a student to progress from their current state toward a target concept or skill. Good teachers must therefore simultaneously infer what…

Computation and Language · Computer Science 2024-05-08 Alexis Ross , Jacob Andreas

The objective of our study is to ascertain the present learning behaviors, driving forces, and assessment techniques as perceived by first-year students, and to examine them through the lens of the most recent developments (pandemic, shift…

Computers and Society · Computer Science 2024-07-16 Manuela Andreea Petrescu , Tudor Dan Mihoc

Pedagogy is a method that handles the ethos and culture of instruction from educators and the learning of learners. Pedagogy of Information and Communications Technology (ICT) refers to the interactions among the teacher, children, and…

Computers and Society · Computer Science 2021-08-30 Al Maruf Hassan , Istiak Ahmed Mondal

The COVID-19 pandemic has underscored the importance of blended learning in contemporary physics and, more generally, STEM education. In this contribution, we summarize current pedagogical models of blended learning, such as rotational and…

Physics Education · Physics 2024-03-21 Jozef Hanč , Dominik Borovský , Martina Hančová

Learning analytics have been argued as a key enabler to improving student learning at scale. Yet, despite considerable efforts by the learning analytics community across the world over the past decade, the evidence to support that claim is…

Computers and Society · Computer Science 2023-01-31 Viberg Olga , Gronlund Ake

As belief around the potential of computational social science grows, fuelled by recent advances in machine learning, data scientists are ostensibly becoming the new experts in education. Scholars engaged in critical studies of education…

Computers and Society · Computer Science 2025-09-04 Rebecca Eynon , Nabeel Gillani

Extensive research has demonstrated that active learning methods are more effective than traditional lecturing at improving student conceptual understanding and reducing failure rates in undergraduate physics courses. Researchers have…

Physics Education · Physics 2026-05-19 Meagan Sundstrom , Justin Gambrell , Colin Green , Adrienne L. Traxle , Eric Brewe

Teaching and Learning process of an educational institution needs to be monitored and effectively analysed for enhancement. Teaching and Learning is a vital element for an educational institution. It is also one of the criteria set by…

Systems and Control · Computer Science 2017-06-13 Ms. Ganesan Kavitha , Dr. Lawrance Raj

As more and more face-to-face classes move to online environments, it becomes increasingly important to explore any emerging barriers to students' learning. This work focuses on characterizing student barriers to active learning in…

Human-Computer Interaction · Computer Science 2021-04-13 Reza Hadi Mogavi , Yankun Zhao , Ehsan Ul Haq , Pan Hui , Xiaojuan Ma

Feedback has a powerful influence on learning, but it is also expensive to provide. In large classes, it may even be impossible for instructors to provide individualized feedback. Peer assessment has received attention lately as a way of…

Applications · Statistics 2014-10-16 Dennis L. Sun , Naftali Harris , Guenther Walther , Michael Baiocchi

Technology has helped to innovate in the teaching-learning process. Today's students are more demanding actors when it comes to the environment, they have at their disposal to learn, experiment and develop critical thinking. The area of…

Human-Computer Interaction · Computer Science 2025-05-19 Carlos R. Cunha , André Moreira , Sílvia Coelho , Vítor Mendonça , João Pedro Gomes

Engaging messages delivered by teachers are a key aspect of the classroom discourse that influences student outcomes. However, improving this communication is challenging due to difficulties in obtaining observations. This study presents a…

Computation and Language · Computer Science 2024-12-17 Samuel Falcon , Carmen Alvarez-Alvarez , Jaime Leon

Large language models perform well on static medical examinations, yet clinical diagnosis often requires iterative evidence gathering under uncertainty. Building on prior interactive evaluation efforts, we introduce an OSCE-inspired…

Artificial Intelligence · Computer Science 2026-05-22 Chen Zhan , Xihe Qiu , Xiaoyu Tan , Xibing Zhuang , Gengchen Ma , Yue Zhang , Shuo Li , Peifeng Liu , Xiaoxiao Ge , Liang Liu , Lu Gan