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Conducting systematic reviews (SR) is a time consuming endeavor that requires several iterations to setup right. We present ReLiS, a framework to configure and deploy projects while conducting a SR. It features a domain-specific modeling…

Software Engineering · Computer Science 2017-05-08 Brice M. Bigendako , Eugene Syriani

An educational system, the tutor-web (http://tutor-web.net), has been developed and used for educational research. The system is accessible and free to use for anyone having access to the Web. It is based on open source software and the…

Applications · Statistics 2013-10-18 Anna Helga Jonsdottir , Gunnar Stefansson

RLCard is an open-source toolkit for reinforcement learning research in card games. It supports various card environments with easy-to-use interfaces, including Blackjack, Leduc Hold'em, Texas Hold'em, UNO, Dou Dizhu and Mahjong. The goal…

Artificial Intelligence · Computer Science 2020-02-17 Daochen Zha , Kwei-Herng Lai , Yuanpu Cao , Songyi Huang , Ruzhe Wei , Junyu Guo , Xia Hu

In this paper we describe the development and evaluation of AITK, the Artificial Intelligence Toolkit. This open-source project contains both Python libraries and computational essays (Jupyter notebooks) that together are designed to allow…

Computers and Society · Computer Science 2025-01-22 Levin Ho , Morgan McErlean , Zehua You , Douglas Blank , Lisa Meeden

Algorithm portfolio and selection approaches have achieved remarkable improvements over single solvers. However, the implementation of such systems is often highly customised and specific to the problem domain. This makes it difficult for…

Artificial Intelligence · Computer Science 2014-05-01 Lars Kotthoff

As the demand for jobs in data science increases, so does the demand for universities to develop and facilitate modernized data science curricula to train students for these positions. Yet, the development of these courses remains…

Other Statistics · Statistics 2025-08-07 Elijah Meyer , Mine Çetinkaya-Rundel

The recommender system (RS) has been an integral toolkit of online services. They are equipped with various deep learning techniques to model user preference based on identifier and attribute information. With the emergence of multimedia…

Information Retrieval · Computer Science 2024-09-05 Qidong Liu , Jiaxi Hu , Yutian Xiao , Xiangyu Zhao , Jingtong Gao , Wanyu Wang , Qing Li , Jiliang Tang

We discuss deep reinforcement learning in an overview style. We draw a big picture, filled with details. We discuss six core elements, six important mechanisms, and twelve applications, focusing on contemporary work, and in historical…

Machine Learning · Computer Science 2018-10-16 Yuxi Li

AI-based Intelligent Tutoring Systems (ITS) have significant potential to transform teaching and learning. As efforts continue to design, develop, and integrate ITS into educational contexts, mixed results about their effectiveness have…

Information Retrieval · Computer Science 2025-07-28 Meriem Zerkouk , Miloud Mihoubi , Belkacem Chikhaoui

This paper explores an innovative approach to teaching data wrangling skills to students through hands-on activities before transitioning to coding. Data wrangling, a critical aspect of data analysis, involves cleaning, transforming, and…

Human-Computer Interaction · Computer Science 2025-03-24 Lucy D'Agostino McGowan

Addressing a real world sequential decision problem with Reinforcement Learning (RL) usually starts with the use of a simulated environment that mimics real conditions. We present a novel open source RL environment for realistic crop…

Artificial Intelligence · Computer Science 2022-09-28 Romain Gautron , Emilio J. Padrón , Philippe Preux , Julien Bigot , Odalric-Ambrym Maillard , David Emukpere

Requirements elicitation interviews are a widely adopted technique, where the interview success heavily depends on the interviewer's preparedness and communication skills. Students can enhance these skills through practice interviews.…

Software Engineering · Computer Science 2023-08-31 Binnur Görer , Fatma Başak Aydemir

Integrating AI-driven tools in higher education is an emerging area with transformative potential. This paper introduces Iris, a chat-based virtual tutor integrated into the interactive learning platform Artemis that offers personalized,…

Human-Computer Interaction · Computer Science 2024-07-11 Patrick Bassner , Eduard Frankford , Stephan Krusche

Spoken Language Understanding (SLU) is one of the core components of a task-oriented dialogue system, which aims to extract the semantic meaning of user queries (e.g., intents and slots). In this work, we introduce OpenSLU, an open-source…

Computation and Language · Computer Science 2023-05-18 Libo Qin , Qiguang Chen , Xiao Xu , Yunlong Feng , Wanxiang Che

In \textit{computer-based testing} it has become standard to collect response accuracy (RA) and response times (RTs) for each test item. IRT models are used to measure a latent variable (e.g., ability, intelligence) using the RA…

Methodology · Statistics 2021-06-21 Jean-Paul Fox , Konrad Klotzke , Ahmet Salih Simsek

Reinforcement learning (RL) has proven its worth in a series of artificial domains, and is beginning to show some successes in real-world scenarios. However, much of the research advances in RL are hard to leverage in real-world systems due…

Machine Learning · Computer Science 2021-03-05 Gabriel Dulac-Arnold , Nir Levine , Daniel J. Mankowitz , Jerry Li , Cosmin Paduraru , Sven Gowal , Todd Hester

The simulator is an R package that streamlines the process of performing simulations by creating a common infrastructure that can be easily used and reused across projects. Methodological statisticians routinely write simulations to compare…

Computation · Statistics 2016-07-04 Jacob Bien

In this paper we describe EasyInterface, an open-source toolkit for rapid development of web-based graphical user interfaces (GUIs). This toolkit addresses the need of researchers to make their research prototype tools available to the…

Software Engineering · Computer Science 2017-02-02 Jesús Doménech , Samir Genaim , Einar Broch Johnsen , Rudolf Schlatte

The use of new technologies in higher education has surprisingly emphasized students' tendency to adopt a passive behavior in class. Participation and interaction of students are essential to improve academic results. This paper describes…

Over the past decade, contextual bandit algorithms have been gaining in popularity due to their effectiveness and flexibility in solving sequential decision problems---from online advertising and finance to clinical trial design and…

Machine Learning · Computer Science 2020-01-03 Robin van Emden , Maurits Kaptein