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In recent times, online education and the usage of video-conferencing platforms have experienced massive growth. Due to the limited scope of a virtual classroom, it may become difficult for instructors to analyze learners' attention and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Sharva Gogawale , Madhura Deshpande , Parteek Kumar , Irad Ben-Gal

The widespread adoption of online courses opens opportunities for the analysis of learner behaviour and for the optimisation of web-based material adapted to observed usage. Here we introduce a mathematical framework for the analysis of…

Social and Information Networks · Computer Science 2019-07-17 Robert L. Peach , Sophia N. Yaliraki , David Lefevre , Mauricio Barahona

Massive open online courses (MOOCs), which offer open access and widespread interactive participation through the internet, are quickly becoming the preferred method for online and remote learning. Several MOOC platforms offer the service…

Information Retrieval · Computer Science 2023-05-10 Jibing Gong , Yao Wan , Ye Liu , Xuewen Li , Yi Zhao , Cheng Wang , Yuting Lin , Xiaohan Fang , Wenzheng Feng , Jingyi Zhang , Jie Tang

Learning analytics research increasingly studies classroom learning with AI-based systems through rich contextual data from outside these systems, especially student-teacher interactions. One key challenge in leveraging such data is…

Computers and Society · Computer Science 2023-12-19 Conrad Borchers , Yeyu Wang , Shamya Karumbaiah , Muhammad Ashiq , David Williamson Shaffer , Vincent Aleven

In humans and animals, curriculum learning -- presenting data in a curated order - is critical to rapid learning and effective pedagogy. Yet in machine learning, curricula are not widely used and empirically often yield only moderate…

Machine Learning · Computer Science 2022-12-07 Luca Saglietti , Stefano Sarao Mannelli , Andrew Saxe

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

Learning analytics (LA) is argued to be able to improve learning outcomes, learner support and teaching. However, despite an increasingly expanding amount of student (digital) data accessible from various online education and learning…

Computers and Society · Computer Science 2021-05-17 Olga Viberg , Ake Gronlund

As more and more face-to-face classes move to online environments, it becomes increasingly important to explore any emerging barriers to students' learning. This work focuses on characterizing student barriers to active learning in…

Human-Computer Interaction · Computer Science 2021-04-13 Reza Hadi Mogavi , Yankun Zhao , Ehsan Ul Haq , Pan Hui , Xiaojuan Ma

Motivation is essential in the learning process of university students, and teachers should have a wide range of strategies to address this issue. The emergence of social technologies has had a considerable influence in e-learning systems,…

Computers and Society · Computer Science 2024-07-11 Carlos Guerrero , Antoni Jaume-i-Capó

An important research problem for Educational Data Mining is to expedite the cycle of data leading to the analysis of student learning processes and the improvement of support for those processes. For this goal in the context of social…

Computers and Society · Computer Science 2016-07-14 Yohan Jo , Gaurav Tomar , Oliver Ferschke , Carolyn P. Rose , Dragan Gasevic

Learning analytics can guide human tutors to efficiently address motivational barriers to learning that AI systems struggle to support. Students become more engaged when they receive human attention. However, what occurs during short…

Computers and Society · Computer Science 2026-01-16 Conrad Borchers , Ashish Gurung , Qinyi Liu , Danielle R. Thomas , Mohammad Khalil , Kenneth R. Koedinger

The aim of this paper is to categorize and describe different types of learners in massive open online courses (MOOCs) by means of a subgroup discovery approach based on MapReduce. The final objective is to discover IF-THEN rules that…

Computers and Society · Computer Science 2024-03-12 J. M. Luna , H. M. Fardoun , F. Padillo , C. Romero , S. Ventura

MOOCs have brought unprecedented opportunities of making high-quality courses accessible to everybody. However, from the business point of view, MOOCs are often challenged for lacking of sustainable business models, and academic research…

Computers and Society · Computer Science 2017-02-12 Yongzheng Jia , Zhengyang Song , Xiaolan Bai , Wei Xu

Premised upon the observation that MOOC and crowdsourcing phenomena share several important characteristics, including IT mediation, large-scale human participation, and varying levels of openness to participants, this work systematizes a…

Computers and Society · Computer Science 2018-05-22 John Prpic , James Melton , Araz Taeihagh , Terry Anderson

In this work we present an overview of statistical learning, followed by a survey of robust streaming techniques and challenges, culminating in several rigorous results proving the relationship that we motivate and hint at throughout the…

Machine Learning · Computer Science 2023-12-05 Evan Dogariu , Jiatong Yu

As online courses become the norm in the higher-education landscape, investigations into student performance between students who take online vs on-campus versions of classes become necessary. While attention has been given to looking at…

Computers and Society · Computer Science 2024-08-31 Thomas Trask , Nicholas Lytle , Michael Boyle , David Joyner , Ahmed Mubarak

The proliferation of massive open online courses (MOOCs) demands an effective way of course recommendation for jobs posted in recruitment websites, especially for the people who take MOOCs to find new jobs. Despite the advances of…

Databases · Computer Science 2020-12-29 Bowen Hao , Jing Zhang , Cuiping Li , Hong Chen , Hongzhi Yin

The explosion of Open Educational Resources (OERs) in the recent years creates the demand for scalable, automatic approaches to process and evaluate OERs, with the end goal of identifying and recommending the most suitable educational…

Computers and Society · Computer Science 2020-06-11 Sahan Bulathwela , María Pérez-Ortiz , Aldo Lipani , Emine Yilmaz , John Shawe-Taylor

The study in interaction patterns between students in on-campus and MOOC-style online courses has been broadly studied for the last 11 years. Yet there remains a gap in the literature comparing the habits of students completing the same…

Computers and Society · Computer Science 2024-05-09 Thomas Trask

Computer science (CS) is increasingly becoming part of the curricula of K-12 education in different countries. However, there are few K-12 CS teachers, and tools to offer K-12 CS education are often limited. Massive Open Online Courses…

Computers and Society · Computer Science 2025-02-03 L. M. van der Lubbe , S. P van Borkulo , J. T. Jeuring
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