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MOOCs offer free and open access to a wide audience, but completion rates remain low, often due to a lack of personalized content. To address this issue, it is essential to predict learner performance in order to provide tailored feedback.…

Computers and Society · Computer Science 2025-07-30 Anass El Ayady , Maxime Devanne , Germain Forestier , Nour El Mawas

Millions of people have enrolled and enrol (especially in the Covid-19 pandemic world) in MOOCs. However, the retention rate of learners is notoriously low. The majority of the research work on this issue focuses on predicting the dropout…

Human-Computer Interaction · Computer Science 2020-08-13 Ahmed Alamri , Zhongtian Sun , Alexandra I. Cristea , Gautham Senthilnathan , Lei Shi , Craig Stewart

Retrieval practice is a well-established pedagogical technique known to significantly enhance student learning and knowledge retention. However, generating high-quality retrieval practice questions is often time-consuming and labor…

Artificial Intelligence · Computer Science 2025-07-30 Yuan An , John Liu , Niyam Acharya , Ruhma Hashmi

Object-oriented programming (OOP) is widely used in the software industry and university introductory courses today. Following the structure of most textbooks, such courses frequently are organised starting with the concepts of imperative…

Software Engineering · Computer Science 2017-11-15 Erica Janke , Philipp Brune , Stefan Wagner

With an expansive and ubiquitously available gold mine of educational data, Massive Open Online courses (MOOCs) have become the an important foci of learning analytics research. The hope is that this new surge of development will bring the…

Human-Computer Interaction · Computer Science 2014-07-29 Tanmay Sinha

We ran a study on engagement and achievement for a first year undergraduate programming module which used an online learning environment containing tasks which generate automated feedback. Students could also access human feedback from…

Computers and Society · Computer Science 2022-01-05 Beate Grawemeyer , John Halloran , Matthew England , David Croft

Large language models (LLMs) store vast amounts of knowledge, which often requires updates to correct factual errors, incorporate newly acquired information, or adapt model behavior. Model editing methods have emerged as efficient solutions…

Computation and Language · Computer Science 2025-10-27 Fufang Wen , Shichang Zhang

Massive Open Online Courseware (MOOCs) appeared in 2008 and grew considerably in the past decade, now reaching millions of students and professionals all over the world. MOOCs do not replace other educational forms. Instead, they complement…

Computers and Society · Computer Science 2022-04-08 Eduardo Guerra , Fabio Kon , Paulo Lemos

Developers interrupting their participation in a project might slowly forget critical information about the code, such as its intended purpose, structure, the impact of external dependencies, and the approach used for implementation.…

Software Engineering · Computer Science 2023-08-29 Dario Amoroso d'Aragona , Luca Pascarella , Andrea Janes , Valentina Lenarduzzi , Rafael Penaloza , Davide Taibi

An empirical study was conducted to analyse design strategies and knowledge used in object-oriented software design. Eight professional programmers experienced with procedural programming languages and either experienced or not experienced…

Human-Computer Interaction · Computer Science 2016-08-16 Françoise Détienne

Understanding what and how neural networks memorize during training is crucial, both from the perspective of unintentional memorization of potentially sensitive information and from the standpoint of effective knowledge acquisition for…

Computer Vision and Pattern Recognition · Computer Science 2025-06-06 Yuxin Wen , Yangsibo Huang , Tom Goldstein , Ravi Kumar , Badih Ghazi , Chiyuan Zhang

The Web has enabled one of the most visible recent developments in education---the deployment of massive open online courses. With their global reach and often staggering enrollments, MOOCs have the potential to become a major new mechanism…

Social and Information Networks · Computer Science 2014-03-17 Ashton Anderson , Daniel Huttenlocher , Jon Kleinberg , Jure Leskovec

Developers spend a large portion of their time and effort on comprehending source code. While many studies have investigated how developers approach these comprehension tasks and what factors influence their success, less is known about how…

Software Engineering · Computer Science 2019-08-01 Chak Shun Yu , Christoph Treude , Maurício Aniche

Massive Open Online Courses (MOOCs) continue to see increasing enrolment, but only a small percent of enrolees completes the MOOCs. Whilst a lot of research has focused on predicting completion, there is little research analysing the…

Computers and Society · Computer Science 2020-08-12 Lei Shi , Alexandra I. Cristea , Armando M. Toda , Wilk Oliveira

We profiled three aspects of MOOCs from the perspective of viewing behaviors, the most prominent and common ones of MOOC learning. They were learner classification, course attraction, teaching order and learning order. Based on viewing…

Physics Education · Physics 2018-04-16 Zheng Xie , Xiao Xiao , Jianping Li , Jinying Su

Context: Evidence-based software engineering (EBSE) can be an effective resource to bridge the gap between academia and industry by balancing research of practical relevance and academic rigor. To achieve this, it seems necessary to…

Software Engineering · Computer Science 2022-02-08 Sebastián Pizard , Diego Vallespir , Barbara Kitchenham

Massive Open Online Courses (MOOCs) are attracting the attention of people all over the world. Regardless the platform, numbers of registrants for online courses are impressive but in the same time, completion rates are disappointing.…

Information Retrieval · Computer Science 2017-10-11 Tom Rolandus Hagedoorn , Gerasimos Spanakis

A typical problem in MOOCs is the missing opportunity for course conductors to individually support students in overcoming their problems and misconceptions. This paper presents the results of automatically intervening on struggling…

Computers and Society · Computer Science 2018-09-27 Ralf Teusner , Thomas Hille , Thomas Staubitz

Humans share a strong tendency to memorize/forget some of the visual information they encounter. This paper focuses on providing computational models for the prediction of the intrinsic memorability of visual content. To address this new…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Romain Cohendet , Claire-Hélène Demarty , Ngoc Q. K. Duong , Martin Engilberge

Reinforcement Learning faces an important challenge in partial observable environments that has long-term dependencies. In order to learn in an ambiguous environment, an agent has to keep previous perceptions in a memory. Earlier memory…

Machine Learning · Computer Science 2023-02-22 Alper Demir