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Machine learning enables the development of new, supplemental, and empowering tools that can either expand existing technologies or invent new ones. In education, space exists for a tool that supports generic student course review formats…

Computation and Language · Computer Science 2023-01-18 Ben Hoar , Roshini Ramachandran , Marc Levis , Erin Sparck , Ke Wu , Chong Liu

This paper introduces LLAssist, an open-source tool designed to streamline literature reviews in academic research. In an era of exponential growth in scientific publications, researchers face mounting challenges in efficiently processing…

Digital Libraries · Computer Science 2024-12-23 Christoforus Yoga Haryanto

In online education, innovative tools are crucial for enhancing learning outcomes. SAM (Study with AI Mentor) is an advanced platform that integrates educational videos with a context-aware chat interface powered by large language models.…

Artificial Intelligence · Computer Science 2025-02-25 Anna Bodonhelyi , Enkeleda Thaqi , Süleyman Özdel , Efe Bozkir , Enkelejda Kasneci

As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools…

This study investigates differences in student participation rates between in-class and online administrations of research-based assessments. A sample of 1,310 students from 25 sections of 3 different introductory physics courses over two…

Physics Education · Physics 2017-11-17 Manher Jariwala , Jayson Nissen , Xochith Herrera , Eleanor W. Close , Ben Van Dusen

Learning analytics is a research topic that is gaining increasing popularity in recent time. It analyzes the learning data available in order to make aware or improvise the process itself and/or the outcome such as student performance. In…

Databases · Computer Science 2015-01-29 Usha Keshavamurthy , H. S. Guruprasad

Learning management systems (LMSs) have become essential in higher education and play an important role in helping educational institutions to promote student success. Traditionally, LMSs have been used by postsecondary institutions in…

Computers and Society · Computer Science 2022-05-02 Ying Guo , Cengiz Gunay , Sairam Tangirala , David Kerven , Wei Jin , Jamye Curry Savage , Seungjin Lee

The application of the Internet in the field of education is becoming more and more popular, and a large amount of educational data is generated in the process. How to effectively use these data has always been a key issue in the field of…

Computers and Society · Computer Science 2024-07-25 Chun Wang , Jiexiao Chen , Ziyang Xie , Jianke Zou

The objectives of this ongoing research are to build Real-Time AI-Powered Educational Dashboard (RAED) as a decision support tool for instructors, and to measure its impact on them while making decisions. Current developments in AI can be…

Computers and Society · Computer Science 2021-08-02 Ajay Kulkarni

The goal of this paper is to offer a full support for universities and quality assessment committees in retrieving the feedback from their students regarding to their teaching staff. The computer based application presented before ([Cri07])…

Human-Computer Interaction · Computer Science 2009-06-01 Tiberiu Marius Karnyanszky , Ovidiu Crista , Catalin Tuican

The integration of large language models (LLMs) into computing education offers many potential benefits to student learning, and several novel pedagogical approaches have been reported in the literature. However LLMs also present…

Computers and Society · Computer Science 2024-12-13 Shuying Qiao , Paul Denny , Nasser Giacaman

Formative assessment in STEM topics aims to promote student learning by identifying students' current understanding, thus targeting how to promote further learning. Previous studies suggest that the assessment performance of current…

Machine Learning · Computer Science 2025-04-08 Yuchen Wei , Dennis Pearl , Matthew Beckman , Rebecca J. Passonneau

Learning analytics (LA) provides data-driven feedback that aims to improve learning and inform action. For learners, LA-based feedback may scaffold self-regulated learning skills, which are crucial to learning success. For teachers,…

Human-Computer Interaction · Computer Science 2023-07-07 Yi-Shan Tsai

Learning Analytics (LA) is nowadays ubiquitous in many educational systems, providing the ability to collect and analyze student data in order to understand and optimize learning and the environments in which it occurs. On the other hand,…

This paper aims to determine how the LMS Web portal application reshapes the learner experience through the developed E-Learning Management System using Data Mining Algorithm. The methodology that the researchers used is descriptive…

Computers and Society · Computer Science 2023-09-25 Cecilia P. Abaricia , Manuel Luis C. Delos Santos

Empirical software engineering faces a critical gap: the lack of standardized tools for rapid development and execution of Test-Driven Software Experiments (TDSEs) -- that is, experiments that involve the execution of software subjects and…

Software Engineering · Computer Science 2025-06-10 Marcus Kessel

Sample efficiency remains a key challenge in multi-agent reinforcement learning (MARL). A promising approach is to learn a meaningful latent representation space through auxiliary learning objectives alongside the MARL objective to aid in…

Multiagent Systems · Computer Science 2024-06-06 Dom Huh , Prasant Mohapatra

The assessment of source code in university education is a central and important task for lecturers of programming courses. In doing so, educators are confronted with growing numbers of students having increasingly diverse prerequisites, a…

Software Engineering · Computer Science 2023-06-09 Clemens Sauerwein , Tobias Antensteiner , Stefan Oppl , Iris Groher , Alexander Meschtscherjakov , Philipp Zech , Ruth Breu

A sparse modeling is a major topic in machine learning and statistics. LASSO (Least Absolute Shrinkage and Selection Operator) is a popular sparse modeling method while it has been known to yield unexpected large bias especially at a sparse…

Machine Learning · Computer Science 2018-08-23 Katsuyuki Hagiwara

Learning Analytics Dashboards can be a powerful tool to support self-regulated learning in Digital Learning Environments and promote development of meta-cognitive skills, such as reflection. However, their effectiveness can be affected by…

Machine Learning · Computer Science 2025-11-18 Alina Deriyeva , Benjamin Paassen