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Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins not with a training sample, but instead with resources that…

Machine Learning · Computer Science 2012-07-19 Omid Madani , Daniel J. Lizotte , Russell Greiner

In standard passive imitation learning, the goal is to learn a target policy by passively observing full execution trajectories of it. Unfortunately, generating such trajectories can require substantial expert effort and be impractical in…

Machine Learning · Computer Science 2012-10-19 Kshitij Judah , Alan Fern , Thomas G. Dietterich

This article describes the authors' teaching experience in flipping the class of a basic undergraduate mathematics course Introductory Linear Algebra. We utilize a full-featured free electronic textbook, online lecture notes, an intranet…

History and Overview · Mathematics 2018-03-21 N. Karjanto , S. -G. Lee

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…

Human-Computer Interaction · Computer Science 2026-04-20 Siva Raja Sindiramutty

In this paper we put forth a model for physics course reform that uniquely uses proven, research-based active learning strategies to help students improve their physics knowledge and problem-solving skills. In this study, we compared the…

Physics Education · Physics 2020-04-22 Colin S. Wallace , Edward E. Prather , John A. Milsom , Ken Johns , Srin Manne

Conversational agents are increasingly used in education for learning support. An application is "learning by explaining", where learners explain their understanding to an agent. However, existing research focuses on single roles, leaving…

Human-Computer Interaction · Computer Science 2026-01-26 Zhengtao Xu , Junti Zhang , Anthony Tang , Yi-Chieh Lee

Curriculum Learning - the idea of teaching by gradually exposing the learner to examples in a meaningful order, from easy to hard, has been investigated in the context of machine learning long ago. Although methods based on this concept…

Machine Learning · Computer Science 2023-12-29 Daphna Weinshall , Dan Amir

Theory and empirical science should be in constant dialogue, but often find it hard to understand one another. Here we describe a graduate-level university course we developed to improve matters. The course was designed to help…

Physics Education · Physics 2026-04-16 Joanna Masel , Anna Dornhaus

Technology enables a more sustainable and universally accessible educational model. However, technology has brought a paradox into students' lives: it helps them engage in learning activities, but it is also a source of distraction. During…

Computers and Society · Computer Science 2024-02-09 María Ángeles Pérez-Juárez , David González-Ortega , Javier Manuel Aguiar-Pérez

Analyzing and evaluating students' progress in any learning environment is stressful and time consuming if done using traditional analysis methods. This is further exasperated by the increasing number of students due to the shift of focus…

Computers and Society · Computer Science 2024-02-06 Abdallah Moubayed , MohammadNoor Injadat , Nouh Alhindawi , Ghassan Samara , Sara Abuasal , Raed Alazaidah

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

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

Machine learning can greatly benefit from providing learning algorithms with pairs of contrastive training examples -- typically pairs of instances that differ only slightly, yet have different class labels. Intuitively, the difference in…

Machine Learning · Computer Science 2025-06-23 Farnam Mansouri , Hans U. Simon , Adish Singla , Yuxin Chen , Sandra Zilles

This article studies the conditions of use of a VLE (Virtual Learning Environment) by primary school teachers. It first presents a triangulated model to explore Virtual Learning Environments' adoption in primary schools. The theoretical…

Computers and Society · Computer Science 2019-10-28 Elena Codreanu , Christine Michel , Marc-Eric Bobillier-Chaumon , Olivier Vigneau

Technology-Enhanced Formative Assessment (TEFA) is a pedagogy for teaching with classroom response technology. Teacher Learning of TEFA is a five-year research project studying teacher change, in the context of an intensive professional…

Tabular data represent one of the most prevalent data formats in applied machine learning, largely because they accommodate a broad spectrum of real-world problems. Existing literature has studied many of the shortcomings of neural…

Machine Learning · Computer Science 2025-10-07 Guri Zabërgja , Arlind Kadra , Christian M. M. Frey , Josif Grabocka

Problem solving is central to physics instruction. Results from Physics Education Research (PER), however, demonstrate that traditional ways of teaching with problem solving are inefficient and ineffective for promoting true physics…

Physics Education · Physics 2007-05-23 William J. Gerace , Ian D. Beatty

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,…

Physics Education · Physics 2024-09-20 Mehrasa Alizadeh

Studies of scientists building models show that the development of scientific models involves a great deal of subjectivity. However, science as experienced in school settings typically emphasizes an overly objective and rationalistic view.…

Physics Education · Physics 2016-02-24 Amy Voss Farris , Amanda Catherine Dickes , Pratim Sengupta

In this paper, we make an important step towards the black-box machine teaching by considering the cross-space machine teaching, where the teacher and the learner use different feature representations and the teacher can not fully observe…

Machine Learning · Statistics 2018-06-07 Weiyang Liu , Bo Dai , Xingguo Li , Zhen Liu , James M. Rehg , Le Song