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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

A good teacher should not only be knowledgeable, but should also be able to communicate in a way that the student understands -- to share the student's representation of the world. In this work, we introduce a new controlled experimental…

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

The past decade has seen a growth in the development and deployment of educational technologies for assisting college-going students in choosing majors, selecting courses and acquiring feedback based on past academic performance. Grade…

Machine Learning · Computer Science 2018-01-18 Zhiyun Ren , Xia Ning , Huzefa Rangwala

Many studies in educational data mining address specific learner groups, such as first-in-family to attend Higher Education, or focus on differences in characteristics such as gender or ethnicity, with the aim of predicting performance and…

Computers and Society · Computer Science 2022-12-23 Robert D. Macredie , Martin Shepperd , Tommaso Turchi , Terry Young

In this paper we present a method of modeling and analysis that permits the extraction and quantitative display of detailed information about the effects of instruction on a class's knowledge. The method relies on a congitive model that…

Physics Education · Physics 2012-09-05 Lei Bao , Edward F. Redish

This poster presents the conceptual framework of the Adaptive Learning Guidance System ALGS. The system aims to propose a model for adaptive learning environments where two major concerns arising from past studies are being addressed; the…

Computers and Society · Computer Science 2019-11-19 Ghada El-Hadad , Doaa Shawky , Ashraf Badawi

Delivering high-quality content is crucial for effective reading comprehension and successful learning. Ensuring educational materials are interpreted as intended by their authors is a persistent challenge, especially with the added…

Computers and Society · Computer Science 2024-12-17 Madjid Sadallah

Humans engage in learning and reviewing processes with curricula when acquiring new skills or knowledge. This human learning behavior has inspired the integration of curricula with replay methods in continual learning agents. The goal is to…

Machine Learning · Computer Science 2023-07-26 Ren Jie Tee , Mengmi Zhang

Modularity is a general principle present in many fields. It offers attractive advantages, including, among others, ease of conceptualization, interpretability, scalability, module combinability, and module reusability. The deep learning…

Machine Learning · Computer Science 2023-10-03 Haozhe Sun , Isabelle Guyon

Nowadays, E-learning system is considered as one of the main pillars in the learning system. Mainly, E-Learning system is designed to serve different types of students. Thus, providing different learning pathways are a must. In this paper,…

Computers and Society · Computer Science 2011-10-14 Abdelrahman Osman Elfaki , Md Gapar Md Johar , Kevin Loo Teow Aik , Sim Liew Fong , Ruzi Bachok

The e-learning community has been producing and using video content for a long time, and in the last years, the advent of MOOCs greatly relied on video recordings of teacher courses. Video annotations are information pieces that can be…

Computers and Society · Computer Science 2014-04-18 Olivier Aubert , Yannick Prié , Camila Canellas

Deep learning is rapidly becoming a go-to tool for many artificial intelligence problems due to its ability to outperform other approaches and even humans at many problems. Despite its popularity we are still unable to accurately predict…

Machine Learning · Computer Science 2018-11-30 Daniel Justus , John Brennan , Stephen Bonner , Andrew Stephen McGough

Instant e-Teaching is a new concept that supplements e-Teaching and e-Learning environment in providing a full and comprehensive modern education styles. The e-Learning technology depicts the concept of enabling self-learning among students…

Computers and Society · Computer Science 2011-07-26 Suhailan Safei , Mat Atar Mat Amin , Ahmad Nazari Mohd Rose , Mohd Nordin Abdul Rahman

The availability and abundance of GenAI tools to administer tasks traditionally managed by people have raised concerns, particularly within the education and academic sectors, as some students may highly rely on these tools to complete the…

Computers and Society · Computer Science 2025-04-15 Mahshid Sadeghpour , Arathi Arakala , Asha Rao

Students in online courses generate large amounts of data that can be used to personalize the learning process and improve quality of education. In this paper, we present the Latent Skill Embedding (LSE), a probabilistic model of students…

Machine Learning · Computer Science 2016-02-24 Siddharth Reddy , Igor Labutov , Thorsten Joachims

This paper introduces a framework for Planning while Learning where an agent is given a goal to achieve in an environment whose behavior is only partially known to the agent. We discuss the tractability of various plan-design processes. We…

Artificial Intelligence · Computer Science 2014-11-17 S. Safra , M. Tennenholtz

E-Learning is efficient, task relevant and just-in-time learning grown from the learning requirements of the new and dynamically changing world. The term Semantic Web covers the steps to create a new WWW architecture that augments the…

Computers and Society · Computer Science 2012-09-17 Khurram Naim Shamsi , Zafar Iqbal Khan

Despite its crucial role in students' daily lives, commuting time remains an underexplored dimension in higher education research. To address this gap, this study focuses on challenges that students face in urban environments and…

Applications · Statistics 2024-07-17 Arianna Burzacchi , Lidia Rossi , Tommaso Agasisti , Anna Maria Paganoni , Simone Vantini

We present a self-supervised approach for learning video representations using temporal video alignment as a pretext task, while exploiting both frame-level and video-level information. We leverage a novel combination of temporal alignment…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Sanjay Haresh , Sateesh Kumar , Huseyin Coskun , Shahram Najam Syed , Andrey Konin , Muhammad Zeeshan Zia , Quoc-Huy Tran
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