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Recently, multiple applications of machine learning have been introduced. They include various possibilities arising when image analysis methods are applied to, broadly understood, video streams. In this context, a novel tool, developed for…

Artificial Intelligence · Computer Science 2025-01-07 Anna Wróblewska , Marcel Witas , Kinga Frańczak , Arkadiusz Kniaź , Siew Ann Cheong , Tan Seng Chee , Janusz Hołyst , Marcin Paprzycki

In this work, we provide a survey of active learning (AL) for its applications in natural language processing (NLP). In addition to a fine-grained categorization of query strategies, we also investigate several other important aspects of…

Computation and Language · Computer Science 2023-02-06 Zhisong Zhang , Emma Strubell , Eduard Hovy

These lecture notes are intended to give a modest impulse to anyone willing to start or pursue a journey into the theory of Vertex Algebras by reading one of Kac's or Lepowsky-Li's books. Therefore, the primary goal is to provide required…

Quantum Algebra · Mathematics 2008-11-11 Christophe Nozaradan

Drawing appropriate diagrams is a useful problem solving heuristic that can transform a give problem into a representation that is easier to exploit for solving it. A major focus while helping introductory physics students learn problem…

Physics Education · Physics 2016-01-22 Alexandru Maries , Chandralekha Singh

This article is based on lecture notes for the Marie Curie Training school "Initial Training on Numerical Methods for Active Matter". It provides an introductory overview of modeling approaches for active matter and is primarily targeted at…

Soft Condensed Matter · Physics 2021-02-26 L. Hecht , J. C. Ureña , B. Liebchen

This is a case study of teaching 3D design and 3D printing in a project-based computing course for undergraduate math majors. This article discusses content organization, implementation, project grading, and includes a personal reflection.…

History and Overview · Mathematics 2022-12-16 Christopher R. H. Hanusa

While Large Language Models (LLMs) are often used as virtual tutors in computer science (CS) education, this approach can foster passive learning and over-reliance. This paper presents a novel pedagogical paradigm that inverts this model:…

Computers and Society · Computer Science 2025-08-11 Xinming Yang , Haasil Pujara , Jun Li

The field of collaborative interactive learning (CIL) aims at developing and investigating the technological foundations for a new generation of smart systems that support humans in their everyday life. While the concept of CIL has already…

Questions of participant understanding of the nature of an activity have been addressed in anthropology and sociolinguistics with the concepts of frames and framing. For example, a student may frame a learning activity as an opportunity for…

Physics Education · Physics 2007-12-04 Rachel E. Scherr , David Hammer

To be successful, junior faculty must properly manage their time in the face of expanding responsibilities. One such responsibility is supervising undergraduate research projects. Student research projects (either single or multi-student)…

History and Overview · Mathematics 2019-07-02 Jana L. Gevertz , Peter S. Kim , Joanna R. Wares

Artificial Intelligence (AI), especially cloud platforms and large language models (LLMs), is changing how engineering is taught by making learning more interactive and flexible. However, in electrical engineering and energy systems,…

Systems and Control · Electrical Eng. & Systems 2026-04-29 Osasumwen Cedric Ogiesoba-Eguakun , Phani Kumar Inkollu , Rupesh Sah , Zia Rashid , Douglas Jussaume , Suman Rath

This paper explores the pedagogical potential of "teacher pre-prompting" as a means of guiding student collaboration in programming education. In particular, we investigate how brief teacher-initiated questions posed before students engage…

Computers and Society · Computer Science 2025-06-26 Johan Petersson

A finite-dimensional unital and associative algebra over $\mathbb{R}$, or what we shall call simply "an algebra" in this paper for short, generalities the construction by which we derive the complex numbers by "adjoining an element $i$" to…

Rings and Algebras · Mathematics 2017-08-04 Nathan BeDell

Active learning strategies respond to the costly labelling task in a supervised classification by selecting the most useful unlabelled examples in training a predictive model. Many conventional active learning algorithms focus on refining…

Machine Learning · Computer Science 2014-08-12 Djallel Bouneffouf

A practical guide for university academics who need to create learning materials that support flexible delivery methods. Examples from the Computer Science domain are used to illustrate innovative approaches to engaging students with online…

Computers and Society · Computer Science 2020-06-09 Richard Hill

While Machine learning gives rise to astonishing results in automated systems, it is usually at the cost of large data requirements. This makes many successful algorithms from machine learning unsuitable for human-machine interaction, where…

Human-Computer Interaction · Computer Science 2021-09-30 Jan Philip Göpfert , Ulrike Kuhl , Lukas Hindemith , Heiko Wersing , Barbara Hammer

Active learning is able to reduce the amount of labelling effort by using a machine learning model to query the user for specific inputs. While there are many papers on new active learning techniques, these techniques rarely satisfy the…

Machine Learning · Computer Science 2020-06-18 Parmida Atighehchian , Frédéric Branchaud-Charron , Alexandre Lacoste

In a recent report, the American Association of Physics Teachers has developed an updated set of recommendations for curriculum of undergraduate physics labs.1 This document focuses on six major themes: constructing knowledge, modeling,…

Physics Education · Physics 2015-09-02 N. G. Holmes , D. A. Bonn

New technologies, such as MOOCs, provide innovative methods to tackle new challenges in teaching and learning, such as globalization and changing contemporary culture and to remove the limits of conventional classrooms. However, they also…

Computers and Society · Computer Science 2016-10-25 S. H. Song , Marco Antonelli , Tony Fung , Brandon D. Armstrong , Amy Chong , Albert Lo , Bertram E. Shi

Quick interaction between a human teacher and a learning machine presents numerous benefits and challenges when working with web-scale data. The human teacher guides the machine towards accomplishing the task of interest. The learning…