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Imitation learning is an approach in which an agent learns how to execute a task by trying to mimic how one or more teachers perform it. This learning approach offers a compromise between the time it takes to learn a new task and the effort…

Machine Learning · Computer Science 2024-07-31 Nathan Gavenski , Felipe Meneguzzi , Michael Luck , Odinaldo Rodrigues

Heterogeneity has been a hot topic in recent educational literature. Several calls have been voiced to adopt methods that capture different patterns or subgroups within students behavior or functioning. Assuming that there is an average…

Methodology · Statistics 2023-06-13 Luca Scrucca , Mohammed Saqr , Sonsoles López-Pernas , Keefe Murphy

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

Argumentation is a core practice in STEM education, but its productivity depends on who participates and how they interact. Higher-achieving students often dominate the talk and decision-making, while lower-achieving peers may disengage,…

Artificial Intelligence · Computer Science 2026-04-28 Jennifer Kleiman , Yizhu Gao , Xin Xia , Zhaoji Wang , Zipei Zhu , Jongchan Park , Xiaoming Zhai

Peer grading is an educational system in which students assess each other's work. It is commonly applied under Massive Open Online Course (MOOC) and offline classroom settings. With this system, instructors receive a reduced grading…

Applications · Statistics 2025-10-01 Giuseppe Mignemi , Yunxiao Chen , Irini Moustaki

With the increased adoption of E-learning platforms, keeping online learners engaged throughout a lesson is challenging. One approach to tackle this challenge is to probe learn-ers periodically by asking questions. The paper presents an…

Human-Computer Interaction · Computer Science 2021-06-08 Ritu Gala , Revathi Vijayaraghavan , Valmik Nikam , Arvind Kiwelekar

Education in the digital period in which we live, is reaching challenges never before seen, preceded by phenomena that involve not only traditional social units, but also new virtual communities; Innovating is difficult, it is a challenge,…

Computers and Society · Computer Science 2017-06-29 Rommel Salas

In the article, proposed is a new e-learning information technology based on an ontology driven learning engine, which is matched with modern pedagogical technologies. With the help of proposed engine and developed question database we have…

Computers and Society · Computer Science 2017-10-18 Liskin Viacheslav , Syrota Sergiy

Team projects in Computer Science (CS) help students build collaboration skills, apply theory, and prepare for real-world software development. Online classes present unique opportunities to transform the accessibility of CS education at…

The development of technologies of multimedia, linked to that of Internet and democratization of high speed, has made henceforth E-learning possible for learners being in virtual classes and geographically distributed. One benefit to taking…

Computers and Society · Computer Science 2015-02-25 Bousaaid Mourad , Ayaou Tarik , Afdel Karim , Estraillier Pascal

Comparing with lecturer marked assessments, peer assessment is a more comprehensive learning process and many of the associated problems have occurred. In this research work, we study the peer-assessment impact on group learning activities…

Computers and Society · Computer Science 2022-01-10 Zhiyuan Chen , Soon Boon Lee , Shazia Paras Shaikh , Mirza Rayana Sanzana

We present a scantron-based survey which examines the teacher-learner collaboration. The survey includes questions which probe student preparedness, behaviors, attitudes, and expectations - as well as questions addressing key measures of…

Physics Education · Physics 2024-01-09 N. M. Chase

Federated Learning is a training framework that enables multiple participants to collaboratively train a shared model while preserving data privacy and minimizing communication overhead. The heterogeneity of devices and networking resources…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-08 Rahul Mishra , Hari Prabhat Gupta , Garvit Banga

According to socio-constructivism approach, collective situations are promoted to favor learning in classroom, at a distance or in a blended educational context. So, many Information and Communication Technologies (ICT) are provided to…

Computers and Society · Computer Science 2007-07-20 Christine Michel , Elise Garrot , Sebastien George

Although compelling assessments have been examined in recent years, more studies are required to yield a better understanding of the several methods where assessment techniques significantly affect student learning process. Most of the…

Physics Education · Physics 2017-12-15 Khondkar Islam , Pouyan Ahmadi , Salman Yousaf

The use of electronic social networks (ESN) as a new teaching method that is chosen by modern teachers, who have sufficient professional, information and communication competence, passed several stages of formation and nowadays are widely…

Computers and Society · Computer Science 2018-07-17 Svitlana Lytvynova , Olga Pinchuk

Mobile Learning (M-Learning) is an emerging discipline in the area of education and educational technology. So researchers are trying to optimize and expanding its application in the field of education. The aim of this paper is to…

Computers and Society · Computer Science 2013-04-18 Hossein Movafegh Ghadirli , Maryam Rastgarpour

Many of the world's most pressing issues, such as climate change and global peace, require complex collective problem-solving skills. Recent studies indicate that diversity in individuals' behaviors is key to developing such skills and…

Artificial Intelligence · Computer Science 2025-01-30 Matteo Bettini , Ryan Kortvelesy , Amanda Prorok

Collaboration is identified as a required and necessary skill for students to be successful in the fields of Science, Technology, Engineering and Mathematics (STEM). However, due to growing student population and limited teaching staff it…

Machine Learning · Computer Science 2021-06-18 Anirudh Som , Sujeong Kim , Bladimir Lopez-Prado , Svati Dhamija , Nonye Alozie , Amir Tamrakar

In this paper, we introduce the concept of collective learning (CL) which exploits the notion of collective intelligence in the field of distributed semi-supervised learning. The proposed framework draws inspiration from the learning…

Machine Learning · Computer Science 2021-05-27 Francesco Farina
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