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As artificial intelligence (AI) increasingly shapes decision-making across domains, there is a growing need to support AI literacy among learners beyond computer science. However, many current approaches rely on programming-heavy tools or…

Computers and Society · Computer Science 2025-11-10 Aparna Maya Warrier , Arav Agarwal , Jaromir Savelka , Christopher Bogart , Heather Burte

For several decades, scholars have studied cooperation and its outcomes in the educational context. Yet, we lack a complete understanding of how different instructional strategies impact the relationship between cooperation and learning.…

Physics Education · Physics 2020-07-01 Javier Pulgar , Cristian Candia , Paul Leonardi

Model of active and collaborative learning applied in training specific subject makes clear advantage due to the goals of knowledge, enhanced activeness, skills that students got to develop successful future job. Studying and applying the…

Computers and Society · Computer Science 2014-04-30 N. H. Nam

As AI systems shape individual and societal decisions, fostering critical AI literacy is essential. Traditional approaches, such as blog articles, static lessons, and social media discussions, often fail to support deep conceptual…

Human-Computer Interaction · Computer Science 2025-07-30 Yiling Zhao , Audrey Michal , Nithum Thain , Hari Subramonyam

Intelligent tutors have proven to be effective in K-12 education, though their impact on adult learners -- especially as a supplementary resource -- remains underexplored. Understanding how adults voluntarily engage with educational…

Human-Computer Interaction · Computer Science 2025-02-25 Adit Gupta , Christopher MacLellan

Action advising is a peer-to-peer knowledge exchange technique built on the teacher-student paradigm to alleviate the sample inefficiency problem in deep reinforcement learning. Recently proposed student-initiated approaches have obtained…

Machine Learning · Computer Science 2021-04-20 Ercument Ilhan , Jeremy Gow , Diego Perez-Liebana

This paper proposes an inverse reinforcement learning (IRL) framework to accelerate learning when the learner-teacher \textit{interaction} is \textit{limited} during training. Our setting is motivated by the realistic scenarios where a…

Machine Learning · Computer Science 2020-07-02 Martin Troussard , Emmanuel Pignat , Parameswaran Kamalaruban , Sylvain Calinon , Volkan Cevher

In this paper, we describe how we transformed our large-enrollment introductory physics sequence for life-science students to a Lecture/Studio format and aligned the physics concepts with authentic biological applications. We have reformed…

Decades of research show that students learn more in classes that utilize active learning than they do in traditional, lecture-only classes. Active learning also reduces the achievement gaps that are often present between various…

Physics Education · Physics 2020-03-18 Colin S. Wallace

Flipped learning is a method that flips in/out class activities to make lectures learner-centered. In flipped learning, comments from learners on preparation material are useful information for instructors to consider before deciding…

Computers and Society · Computer Science 2020-07-30 Shintaro Uchiyama , Hayato Okumoto , Mitsuo Yoshida , Yuko Ichikawa , Kyoji Umemura

One of the most important active methodologies for physics learning developed in recent years is peer instruction. Its technique has allowed, among other things, to monitor students' conceptual learning. In this sense,…

Physics Education · Physics 2024-05-14 Paco H. Talero Lopez

Peer assessment is a popular technique for a more fine-grained evaluation of individual students in group projects. Its effect on the evaluation is well studied. However, its effects on the learning abilities of students are often…

Software Engineering · Computer Science 2020-12-08 Wouter Groeneveld , Joost Vennekens , Kris Aerts

One way to foster a supportive culture in physics departments is for instructors to provide students with personal attention regarding their academic difficulties. To this end, we have developed the Guided Reflection Form (GRF), an online…

Physics Education · Physics 2017-12-15 Daniel L. Reinholz , Dimitri R. Dounas-Frazer

Engaging students with well-designed clicker questions is one of the commonly used research-based instructional strategy in physics courses partly because it has a relatively low barrier to implementation [1]. Moreover, validated robust…

Physics Education · Physics 2020-06-15 Paul Justice , Emily Marshman , Chandralekha Singh

Asking questions during class time is one form of participation not commonly employed by members of underrepresented groups in large enrollment college classrooms, even though the form of participation is highly conducive to student…

Physics Education · Physics 2023-11-21 David Frykenberg , Brokk Toggerson , Adena Calden , Chris Ertl

Online teaching has become a new reality due to the COVID-19 pandemic raising a lot of questions about its learning outcomes. Recent studies have shown that peer communication positively affects learning outcomes of online teaching.…

Computers and Society · Computer Science 2022-04-12 Natalya Kozhevnikova

Instructors in introductory physics courses often use labs and demonstrations to reinforce that the physics equations introduced in lectures and textbooks describe what actually happens in the real world. The surface features and…

Physics Education · Physics 2019-06-03 Emily M. Smith , N. G. Holmes

Physics outreach programs provide a critical context for informal experiences that promote the transition from new student to contributing physicist. Prior studies have suggested a positive link between participation in informal physics…

Physics Education · Physics 2021-08-25 Callie Rethman , Jonathan Perry , Jonan Donaldson , Daniel Choi , Tatiana Erukhimova

The scope of this paper was to find out how the students in Computer Science perceive different teaching styles and how the teaching style impacts the learning desire and interest in the course. To find out, we designed and implemented an…

Human-Computer Interaction · Computer Science 2023-07-11 Manuela Petrescu , Kuderna Bentasup

Existing approaches to active learning maximize the system performance by sampling unlabeled instances for annotation that yield the most efficient training. However, when active learning is integrated with an end-user application, this can…

Computation and Language · Computer Science 2020-05-13 Ji-Ung Lee , Christian M. Meyer , Iryna Gurevych
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