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This article presents early findings from designing, deploying and evaluating an AI-based educational agent deployed as the primary instructor in a graduate-level Cloud Computing course at IISc. We detail the design of a Large Language…

Computers and Society · Computer Science 2025-10-24 Yogesh Simmhan , Varad Kulkarni

Research demonstrates learners engaging in the process of producing explanations to support their reasoning, can have a positive impact on learning. However, providing learners real-time explanatory feedback often presents challenges…

Computation and Language · Computer Science 2023-06-28 Jionghao Lin , Danielle R. Thomas , Feifei Han , Shivang Gupta , Wei Tan , Ngoc Dang Nguyen , Kenneth R. Koedinger

As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become increasingly challenging and expensive. Often, it is easier for a…

Robotics · Computer Science 2018-11-19 Takayuki Osa , Joni Pajarinen , Gerhard Neumann , J. Andrew Bagnell , Pieter Abbeel , Jan Peters

Despite artificial intelligence (AI) having transformed major aspects of our society, less than a fraction of its potential has been explored, let alone deployed, for education. AI-powered learning can provide millions of learners with a…

AI-supported tools can help learners overcome challenges in programming education by providing adaptive assistance. However, existing research often focuses on individual tools rather than deriving broader design recommendations. A key…

Human-Computer Interaction · Computer Science 2025-03-04 Zihan Wu , Yicheng Tang , Barbara Ericson

Assessing student performance becomes challenging when course enrollment becomes very large (~10^4 students). As part of a Massive Open Online Course (MOOC) in introductory physics offered by Georgia Tech in 2013, students submitted video…

Long horizon robot learning tasks with sparse rewards pose a significant challenge for current reinforcement learning algorithms. A key feature enabling humans to learn challenging control tasks is that they often receive expert…

Machine Learning · Computer Science 2022-11-18 Souradeep Dutta , Kaustubh Sridhar , Osbert Bastani , Edgar Dobriban , James Weimer , Insup Lee , Julia Parish-Morris

With the adoption of instructional laboratories (labs) that require students to make their own decisions, there is a need to better understand students' activities as they make sense of their data and decide how to proceed. In particular,…

Physics Education · Physics 2021-09-01 Anna McLean Phillips , Meagan Sundstrom , David G. Wu , N. G. Holmes

Understanding why students stopout will help in understanding how students learn in MOOCs. In this report, part of a 3 unit compendium, we describe how we build accurate predictive models of MOOC student stopout. We document a scalable,…

Computers and Society · Computer Science 2014-08-15 Colin Taylor , Kalyan Veeramachaneni , Una-May O'Reilly

An instructor teaching a course on Software Architecture needs to be more reflective to engage students productively in the learning activities. In this reflective essay, the author identifies a few decisive moments referred to as…

Software Engineering · Computer Science 2021-01-26 Arvind W Kiwelekar

The method of images (MoI) is a valuable technique for solving certain electrostatic boundary value problems consisting of charge density near conductor(s). We developed and validated an inquiry-based tutorial on MoI to help students learn…

Physics Education · Physics 2026-04-13 Jaya Shivangani Kashyap , Robert P. Devaty , Chandralekha Singh

The past few years has seen the rapid growth of data min- ing approaches for the analysis of data obtained from Mas- sive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a stu- dent…

Computers and Society · Computer Science 2016-05-10 Zhiyun Ren , Huzefa Rangwala , Aditya Johri

With the development of MOOCs massive open online courses, increasingly more subjects can be studied online. Researchers currently show growing interest in the field of MOOCs, including dropout prediction, cheating detection and achievement…

Information Retrieval · Computer Science 2019-08-06 Shaojie Qu , Kan Li , Zheyi Fan , Sisi Wu , Xinyi Liu , Zhiguo Huang

Online Judge (OJ) systems are typically considered within programming-related courses as they yield fast and objective assessments of the code developed by the students. Such an evaluation generally provides a single decision based on a…

Computers and Society · Computer Science 2024-02-07 Juan Ramón Rico-Juan , Víctor M. Sánchez-Cartagena , Jose J. Valero-Mas , Antonio Javier Gallego

This work is an attempt to discover hidden structural configurations in learning activity sequences of students in Massive Open Online Courses (MOOCs). Leveraging combined representations of video clickstream interactions and forum…

Computers and Society · Computer Science 2014-09-23 Tanmay Sinha , Nan Li , Patrick Jermann , Pierre Dillenbourg

Most education and workplace learning takes place in classroom contexts far removed from laboratories or field sites with special arrangements for scientific research. But digital online resources provide a novel opportunity for large scale…

Computers and Society · Computer Science 2015-02-17 Joseph Jay Williams , Juho Kim , Brian C. Keegan

Massive Open Online Courses (MOOCs) are the road that led to a revolution and a new era of learning environments. Educational institutions have come under pressure to adopt new models that assure openness in their education distribution.…

Computers and Society · Computer Science 2016-06-21 Mohammad Khalil , Martin Ebner

The Massive Open Online Course (MOOC) has expanded significantly in recent years. With the widespread of MOOC, the opportunity to study the fascinating courses for free has attracted numerous people of diverse educational backgrounds all…

Machine Learning · Computer Science 2016-10-18 Yifan Hou , Pan Zhou , Ting Wang , Li Yu , Yuchong Hu , Dapeng Wu

Prior work has shown that safety interventions applied during pretraining, such as removing and rephrasing harmful content, can substantially improve the robustness of the resulting models. In this paper, we study the fundamental question…

Machine Learning · Computer Science 2026-02-11 Dylan Sam , Sachin Goyal , Pratyush Maini , Alexander Robey , J. Zico Kolter

Interactive online learning environments, represented by Massive AI-empowered Courses (MAIC), leverage LLM-driven multi-agent systems to transform passive MOOCs into dynamic, text-based platforms, enhancing interactivity through LLMs. This…

Computation and Language · Computer Science 2025-08-26 Yuanchun Wang , Yiyang Fu , Jifan Yu , Daniel Zhang-Li , Zheyuan Zhang , Joy Lim Jia Yin , Yucheng Wang , Peng Zhou , Jing Zhang , Huiqin Liu
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