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Related papers: Preparation for future active learning

200 papers

With the adoption of instructional laboratories (labs) that require students to make their own decisions, there is a need to better understand students' activities as they make sense of their data and decide how to proceed. In particular,…

Physics Education · Physics 2021-09-01 Anna McLean Phillips , Meagan Sundstrom , David G. Wu , N. G. Holmes

We study pool-based active learning of half-spaces. We revisit the aggressive approach for active learning in the realizable case, and show that it can be made efficient and practical, while also having theoretical guarantees under…

Machine Learning · Computer Science 2015-03-20 Alon Gonen , Sivan Sabato , Shai Shalev-Shwartz

A survey of 722 physics faculty conducted in 2008 found that many physics instructors had knowledge of research-based instructional strategies (RBISs), were interested in using more, but often discontinued use after trying. Considerable…

Drawable electronics attract the attention of both educators and innovative circuit engineers due to their affordability and simplicity. This paper focuses on active learning activities related to conducting lines and presents extensible…

Physics Education · Physics 2021-07-29 Petar Damjanović , Vladimir Veljić , Aleksandra Alorić

Problem-based learning (PBL) is a constructivist learner-centered instructional approach based on the analysis, resolution and discussion of a given problem. It can be applied to any subject, indeed it is especially useful for the teaching…

History and Overview · Mathematics 2011-11-17 Marina Cazzola

This paper discusses several linear algebra activities designed to help enhance students' skills in collaborating, exploring mathematics, and linking together abstract and visual ways of approaching mathematics. Most of these activities are…

History and Overview · Mathematics 2024-02-16 Shintaro Fushida-Hardy , Pranav Nuti , Megan Selbach-Allen

Active learning aims to reduce the labeling effort that is required to train algorithms by learning an acquisition function selecting the most relevant data for which a label should be requested from a large unlabeled data pool. Active…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Javad Zolfaghari Bengar , Joost van de Weijer , Laura Lopez Fuentes , Bogdan Raducanu

Every teacher understands that different students benefit from different activities. Recent advances in data processing allow us to detect and use behavioral variability for adapting to a student. This approach allows us to optimize…

Human-Computer Interaction · Computer Science 2017-03-07 Farah Bouassida , Łukasz Kidziński , Pierre Dillenbourg

The objective of this article is to investigate the effect of active-learning pedagogy on learners' academic achievement and their attitude toward mathematics using both quantitative and qualitative methods. We cultivated sustainable…

History and Overview · Mathematics 2022-10-31 N. Karjanto , M. J. Acelajado

In this paper we explore the theory of communities of practice in the context of a physics college course and in particular the classroom environment of an advanced laboratory. We introduce the idea of elements of a classroom community…

Physics Education · Physics 2015-06-18 Paul W. Irving , Eleanor C. Sayre

A flipped classroom was introduced in pre-service education in order to promote MM and the quality of their use in the teaching and learning process in laboratory. The course, Physics Lab Didactics, promoted active learning through the…

Physics Education · Physics 2016-01-08 Vera Montalbano

Studying for physics exams can be difficult and stressful, especially during a student's introductory year in physics. For students who do not plan to major in physics, the desire to do well is based less on understanding concepts and more…

Physics Education · Physics 2020-12-22 Rahul Jilakara , David P. Waters

Models can fail in unpredictable ways during deployment due to task ambiguity, when multiple behaviors are consistent with the provided training data. An example is an object classifier trained on red squares and blue circles: when…

Machine Learning · Computer Science 2022-04-20 Alex Tamkin , Dat Nguyen , Salil Deshpande , Jesse Mu , Noah Goodman

With the rapid adoption of AI tools in learning contexts, it is vital to understand how these systems shape users' reading processes and cognitive engagement. We collected and analyzed text from 124 sessions with AI tools, in which students…

Human-Computer Interaction · Computer Science 2025-04-22 Yue Fu , Alexis Hiniker

Active learning is usually applied to acquire labels of informative data points in supervised learning, to maximize accuracy in a sample-efficient way. However, maximizing the accuracy is not the end goal when the results are used for…

Machine Learning · Statistics 2021-10-22 Louis Filstroff , Iiris Sundin , Petrus Mikkola , Aleksei Tiulpin , Juuso Kylmäoja , Samuel Kaski

Lucrative career prospects and creative opportunities often attract students to enroll in computer science majors and pursue advanced studies in the field. Consequently, there has been a significant surge in enrollment in computer science…

Computers and Society · Computer Science 2025-06-25 Neha Rani , Sharan Majumder , Ishan Bhardwaj , Pedro Guillermo Feijoo Garcia

The number of students with disabilities and specifically students with attention-deficit hyperactivity disorder (ADHD) entering postsecondary STEM education has been increasing in recent decades. However, many instructors and popular…

Physics Education · Physics 2024-06-19 Caroline Bustamante , Erin Scanlon , Jacquelyn J. Chini

Seating location in the classroom can affect student engagement, attention and academic performance by providing better visibility, improved movement, and participation in discussions. Existing studies typically explore how traditional…

Human-Computer Interaction · Computer Science 2022-07-26 Nan Gao , Mohammad Saiedur Rahaman , Wei Shao , Kaixin Ji , Flora D. Salim

Many active learning methods belong to the retraining-based approaches, which select one unlabeled instance, add it to the training set with its possible labels, retrain the classification model, and evaluate the criteria that we base our…

Machine Learning · Statistics 2017-03-01 Yazhou Yang , Marco Loog

This paper presents how learning experience influences students' capability to learn and their motivation for learning. Although each student is different, standard instruction methods do not adapt to individuals. Adaptive learning reverses…

Cryptography and Security · Computer Science 2022-01-06 Pavel Seda , Jan Vykopal , Valdemar Švábenský , Pavel Čeleda
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