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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

Document screening is a central task within Evidenced Based Medicine, which is a clinical discipline that supplements scientific proof to back medical decisions. Given the recent advances in DL (Deep Learning) methods applied to Information…

Information Retrieval · Computer Science 2021-04-20 Alexandros Ioannidis

Humans can learn from very few samples, demonstrating an outstanding generalization ability that learning algorithms are still far from reaching. Currently, the most successful models demand enormous amounts of well-labeled data, which are…

Digital Libraries · Computer Science 2019-12-20 Frederico Guth , Teofilo Emidio de-Campos

This paper describes a collaboration between a mathematician and a compositionist who developed a sequence of collaborative writing assignments for calculus. This sequence of developmentally-appropriate assignments presents peer review as a…

History and Overview · Mathematics 2014-05-30 Carrie Diaz Eaton , Stephanie Wade

Textual content is often the output of a collaborative writing process: We start with an initial draft, ask for suggestions, and repeatedly make changes. Agnostic of this process, today's language models are trained to generate only the…

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…

Medical education increasingly emphasizes students' ability to apply knowledge in real-world clinical settings, focusing on evidence-based clinical reasoning and differential diagnoses. Problem-based learning (PBL) addresses traditional…

Human-Computer Interaction · Computer Science 2025-03-11 Yuansong Xu , Yuheng Shao , Jiahe Dong , Shaohan Shi , Chang Jiang , Quan Li

Developing digital accessibility expertise is critical to breaking down barriers and ensuring digital inclusion. However, a discourse on a pedagogical culture for teaching digital literacy is still lacking. This article, therefore, takes up…

Computers and Society · Computer Science 2024-10-17 Björn Fisseler

In the social sciences, researchers search for information on the Web, but this is most often distributed on different websites, search portals, digital libraries, data archives, and databases. In this work, we present an integrated search…

Digital Libraries · Computer Science 2019-09-25 Daniel Hienert , Dagmar Kern , Katarina Boland , Benjamin Zapilko , Peter Mutschke

Over the past decade, an explosion in the availability of education-related datasets has enabled new computational research in education. Much of this work has investigated digital traces of online learners in order to better understand and…

Computers and Society · Computer Science 2023-01-16 Nabeel Gillani , Rebecca Eynon

Peer review is a widely utilized feedback mechanism for engaging students. As a pedagogical method, it has been shown to improve educational outcomes, but we have found limited empirical measurement of peer review in visualization courses.…

Human-Computer Interaction · Computer Science 2021-08-09 Zachariah Beasley , Alon Friedman , Paul Rosen

Digital innovation in education has revolutionized teaching and learning processes, demanding a rethink of pedagogical competence among educators. This study evaluates the preparation of instructors to use digital technologies into their…

Physics Education · Physics 2025-02-25 Ning Yulin , Solomon Danquah Danso

Academic, peer-reviewed short papers are a common way to present a late-breaking work to the academic community that outlines preliminary findings, research ideas, and novel conversations. By comparison, blogging or writing posts on social…

Digital Libraries · Computer Science 2023-03-13 Frank Elavsky

As digital transformation continues, enterprises are generating, managing, and storing vast amounts of data, while artificial intelligence technology is rapidly advancing. However, it brings challenges in information security and data…

Machine Learning · Computer Science 2023-07-13 Jiale Li , Zhixin Li , Yibo Wang , Yao Li , Lei Wang

Interdisciplinary research is fundamental when it comes to tackling complex problems in our highly interlinked world, and is on the rise globally. Yet, it is unclear why--in an increasingly competitive academic environment--one should…

Digital Libraries · Computer Science 2021-04-28 Ye Sun , Giacomo Livan , Athen Ma , Vito Latora

As an interdisciplinary discipline, data mining (DM) is popular in education area especially when examining students' learning performances. It focuses on analyzing educational related data to develop models for improving learners' learning…

Other Statistics · Statistics 2017-10-26 Jiechao Cheng

As Engineering Education Research (EER) develops as a discipline it is necessary for EER scholars to contribute to the development of learning theory rather than simply being informed by it. It has been suggested that to do this effectively…

Computers and Society · Computer Science 2021-04-20 David Reynolds , Nicholas Dacre

Recent developments in online communication and their usage in everyday life have caused an explosion in the amount of a new genre of text data, short text. Thus, the need to classify this type of text based on its content has a significant…

Computation and Language · Computer Science 2024-09-10 Bruno D. Ferreira-Saraiva , Zuil Pirola , João P. Matos-Carvalho , Manuel Marques-Pita

Scientific digital libraries play a critical role in the development and dissemination of scientific literature. Despite dedicated search engines, retrieving relevant publications from the ever-growing body of scientific literature remains…

Information Retrieval · Computer Science 2021-06-29 Florian Boudin , Béatrice Daille , Evelyne Jacquey , Jian-Yun Nie

In recent years, many explanation methods have been proposed to explain individual classifications of deep neural networks. However, how to leverage the created explanations to improve the learning process has been less explored. As the…

Computer Vision and Pattern Recognition · Computer Science 2020-09-22 Jindong Gu , Zhiliang Wu , Volker Tresp
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