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检索条件"丛书名=Lecture Notes in Computer Science"

共 300228 条记录，以下是761-770 订阅

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Mixed-Integer Programming for Adaptive VR Workflow Training 16th

Mixed-Integer Programming for Adaptive VR Workflow Training

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16th International Conference on Virtual, Augmented and Mixed Reality (VAMR)

作者： Zhang, Yongqi Yan, Chuan Huang, Haikun Su, Simon Yu, Lap-Fai George Mason Univ Fairfax VA 22030 USA NIST Gaithersburg MD 20899 USA

ISBN: (纸本)9783031610462;9783031610479

With advances in consumer-grade virtual reality (VR) devices, VR training gains unprecedented attention in research and industries. Although the nature of VR training encourages trainees to actively learn through exploring and gathering information in a simulated virtual environment, designing effective virtual training environments is non-trivial. We propose an adaptive approach that guides trainees to develop psychomotor skills in a simulated virtual environment. As a showcase, we demonstrate our novel approach for restaurant service using a game-based VR application. By incorporating the trainee's performance and learning progress into optimization objectives, our approach uses mixed integer programming (MIP) to generate VR training sessions iteratively. Through collecting the trainee's performance in VR training, our approach adapts the VR training sessions by considering the trainee's strengths and weaknesses, guiding the trainee to improve over training sessions. We validated our approach through two experimental studies. In the first study, we compared our approach with a random training task assignment approach and a performance-only MIP approach through performing simulated restaurant service training. In the second study, we compared our approach with the random assignment approach by evaluating trainees' skill developments in restaurant services. The results show that our skill-driven adaptive training approach outperforms the random assignment approach.

关键词： game design adaptive training virtual reality optimization

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Investigating Racial and Ethnic Differences in Learning with a Digital Game and Tutor for Decimal Numbers 19th

Investigating Racial and Ethnic Differences in Learning with...

引用

19th European Conference on Technology Enhanced Learning (EC-TEL)

作者： Ni, Xiaolin Nguyen, Huy A. Else-Quest, Nicole Pagano, Alessandro McLaren, Bruce M. Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ North Carolina Chapel Hill NC 27599 USA Univ Bari Aldo Moro Bari Italy

ISBN: (纸本)9783031723148;9783031723155

This study investigates the effects on different racial/ethnic groups of middle school students when learning with a digital learning game, Decimal Point, and a comparable computer tutor. Using data from three classroom studies with 835 students, we compared learning outcomes and engagement among students from racial/ethnic groups that are well-represented in STEM (white and Asian) to those that are underrepresented in STEM (Black, Hispanic/Latine, Indigenous, and multiracial). Relative to students from underrepresented groups, students from well-represented groups in STEM scored higher on all tests (pre, post, and delayed, despite similar learning gains from pre-to-post and pre-to-delayed) and showed more engagement and less anxiety. The game also enhanced the experience of mastery only among students from well-represented groups. At the same time, students from underrepresented groups learned from the intervention and matched students from well-represented groups in learning efficiency. In short, we found similar learning gains from the game and tutor interventions among students from well-represented and underrepresented racial/ethnic groups, despite the lower performance and lower engagement among students from underrepresented groups. These insights highlight how students from diverse backgrounds may engage differently with educational technology, guiding future efforts in making Decimal Point - as well as digital learning tools in general - more inclusive.

关键词： Educational games computer tutor mathematics race and ethnicity

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On the Auditability of the Estonian IVXV System And an Attack on Individual Verifiability 27th

On the Auditability of the Estonian IVXV System And an Attac...

引用

8th Workshop on Advances in Secure Electronic Voting (Voting) / 4th Workshop on Coordination of Decentralized Finance (CoDecFin) / 3rd Workshop on Decentralized Finance (DeFi) / 7th Workshop on Trusted Smart Contracts (WTSC)

作者： Sutopo, Anggrio Haines, Thomas Roenne, Peter Australian Natl Univ Canberra Australia CNRS LORIA Nancy France Univ Lorraine Nancy France

ISBN: (纸本)9783031488054;9783031488061

The development and auditing processes around electronic voting implementations are much too often deficient;this is particularly true for the measures taken to prevent cryptographic errors - potentially with grave consequences for security. To mitigate this, it is common to make the code public in order to allow independent experts to help uncover such flaws. In this paper we present our experiences looking at the IVXV system used for municipal and national elections in Estonia as well as European parliament elections. It appears that, despite the code being public for over five years, the cryptographic protocol has not seen much scrutiny at the code level. We describe in detail the (lack of) auditability and incentives which have contributed to this situation. We also present a previously unknown vulnerability which contradicts the claimed individual verifiability of the system;this vulnerability should be patched in the next version of IVXV system.

关键词： Cryptography

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Logic and Languages of Higher-Dimensional Automata 1

引用

28th International Conference on Developments in Language Theory (DLT)

作者： Amrane, Amazigh Bazille, Hugo Fahrenberg, Uli Fortin, Marie EPITA Res Lab LRE Paris France Univ Paris Cite IRIF CNRS Paris France

ISBN: (数字)9783031661594

ISBN: (纸本)9783031661587;9783031661594

In this paper we study finite higher-dimensional automata (HDAs) from the logical point of view. Languages of HDAs are sets of finite bounded-width interval pomsets with interfaces (iiPoms <=(k)) closed under order extension. We prove that languages of HDAs are MSO-definable. For the converse, we show that the order extensions of MSO-definable sets of iiPoms(<= k) are languages of HDAs. Furthermore, both constructions are effective. As a consequence, unlike the case of all pomsets, the order extension of any MSO-definable set of iiPoms(<= k) is MSO-definable.

关键词： Finite automata

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Developing Epidemiological Models with Differentiated Infected Intensity 17th

Developing Epidemiological Models with Differentiated Infect...

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17th International Conference on Social, Cultural, and Behavioral Modeling (SBP-BRiMS)

作者： Yousefi, Niloofar Agarwal, Nitin Addai, Emmanuel Univ Arkansas COSMOS Res Ctr Little Rock AR 72204 USA

ISBN: (纸本)9783031722400;9783031722417

This study investigates the spread of toxic content on social media, a growing concern as online platforms serve as primary information sources. This research aims to enhance the accuracy of models capturing toxicity spread by differentiating between varying levels of toxicity intensity. Two epidemiological models are developed and assessed: the SEIRS model and a novel SEImIhRS model. The latter divides infected users into moderate and highly infected groups to reflect the varying severity of toxic behavior. Both models are tested on six datasets to evaluate their performance. The SEImIhRS model achieves even lower error rates, indicating a more precise representation of toxicity propagation. This research contributes a sophisticated tool for analyzing online toxicity, aiding policymakers and online platforms in developing targeted interventions and enhancing content moderation systems.

关键词： Hate speech Toxicity Epidemiological models SEIRS Social media Propagation

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Adaptation of a Self-determination Theory-Based Questionnaire on Collaborative Classroom Dynamics 30th

Adaptation of a Self-determination Theory-Based Questionnair...

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30th International Conference on Collaboration Technologies and Social Computing (CollabTech)

作者： El Aadmi-Laamech, Khadija Santos, Patricia Hernandez-Leo, Davinia Univ Pompeu Fabra Barcelona 08018 Spain

ISBN: (纸本)9783031679971;9783031679988

In this paper we explore the adaptation and validation of a scale on the collaborative classroom dynamics that impact students' well-being. We leverage the Self-Determination Theory to understand such well-being impacts, as well as use the Basic Psychological Need satisfaction as a means to improve collaborative classroom dynamics. Therefore, the aim of this work is to generate an SDT-based instrument that evaluates the collaborative classroom dynamics from a well-being perspective. For that, we make use of an existing scale where learning and collaboration are also present (BPNSS-Work scale) and adapt it to the context of education. The scale is adapted and validated to meet the needs of students, pointing out the similarities and differences between the scale used in the work context versus the educational one. The work follows the process and employed methodology in order to achieve the validation. We discuss the potential of the resulting scale: for the teacher, it serves to support classroom management (redesigning activities, interactions between groups), and for the students, it serves (alongside with the resulting recommendations) to support their well-being and self-regulation.

关键词： CSCL Self-Determination Theory Collaboration Well-being Scale adaptation Scale validation

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Belenios with Cast as Intended 27th

Belenios with Cast as Intended

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作者： Cortier, Veronique Debant, Alexandre Gaudry, Pierrick Glondu, Stephane Univ Lorraine CNRS INRIA LORIA Nancy France

ISBN: (纸本)9783031488054;9783031488061

We propose the BeleniosCaI protocol, a variant of Belenios which brings the cast-as-inended property, in addition to other existing security properties. Our approach is based on a 2-part checksum that the voting device commits to, before being challenged to reveal one of them chosen at random by the voter. It requires only one device on the voter's side and does not rely on previously sent data like with return codes. Compared to the classical Benaloh audit-or-cast approach, we still have cast-as-intended with only some probability, but the voter's journey is more linear, and the audited ballot is really the one that is cast. We formally prove the security of BeleniosCaI w.r.t. end-to-end verifiability and privacy in a symbolic model, using the ProVerif tool.

关键词： Cryptography

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QA-Knowledge Attention for Exam Performance Prediction 19th

QA-Knowledge Attention for Exam Performance Prediction

引用

19th European Conference on Technology Enhanced Learning (EC-TEL)

作者： Ren, Yongle Tang, Cheng Taniguchi, Yuta Okubo, Fumiya Shimada, Atsushi Kyushu Univ Fac Informat Sci & Elect Engn Fukuoka 8190395 Japan Kyushu Univ Res Inst Informat Technol Fukuoka 8190395 Japan

ISBN: (纸本)9783031723148;9783031723155

In actual university education, students' performance prediction is important for assessing their mastery of specific knowledge areas and providing feedback. To address the limitations of existing grade or at-risk predictions that fail to take students' knowledge mastery into account, we propose a model, question&answer knowledge attention for exam performance prediction (QAKAP) and focus on predicting students' performance on each final exam question (binary prediction). This model consists of three key modules: a Topic-Aware Attention Module, a Knowledge Mastery Estimation Module, and a Prediction Module. By integrating natural language processing (NLP) methods and the attention mechanism, our model can capture the relevance of questions from question text data and then generate the student embeddings to predict student performance on each final exam question. The primary contribution of this work is the development of a general prediction model for real university education, applicable to students' exam performance predictions. We collected a dataset from 494 students across four undergraduate courses, including the question text data and students' performance on these exam questions. The results show that QAKAP outperforms other machine-learning methods, demonstrating its effectiveness in predicting students' exam performance.

关键词： Prediction Attention Exam Performance Neural Network

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Exploring Artificial Intelligence in Videogames: An Application to the Didactic Paradigm "the Virtual Class" 1

引用

1st Workshop on Artificial Intelligence with and for Learning sciences - Past, Present, and Future Horizons (WAILS)

作者： Beatini, Veronica Campitiello, Lucia Di Tore, Stefano Sibilio, Maurizio Univ Salerno Dept Humanities Philosophy & Educ Fisciano Italy

ISBN: (数字)9783031574023

ISBN: (纸本)9783031574016;9783031574023

Artificial intelligence (AI) has transformed the world of videogames, making them more immersive and engaging experiences. Many studies explore the multiple ways AI has revolutionized the world of videogames. AI's ability to create more realistic and responsive non-player characters (NPCs) has made virtual worlds more immersive. In addition to creating engaging game worlds, AI has contributed to the procedural design of levels and scenarios, reducing the workload of developers and ensuring greater variability. In this study, we aim to demonstrate how the use of AI is beneficial for creating new combinations of scenarios within our videogame "the virtual class", a didactic paradigm to measure perspective taking ability. Using AI within our videogame allows to change environments and scenarios in a way that enhances spatial dynamism allowing children to change the strategies used to answer. This could lead to a new version of the videogame that emphasizes customization and enhances children's engagement during the game.

关键词： Artificial Intelligence Videogame Didactic

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New "ArchAIval" Practices: Using GPT for OCR and Historical Narration of Index Cards 28th

New "ArchAIval" Practices: Using GPT for OCR and Historical ...

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28th International Conference on Linking Theory and Practice of Digital Libraries (TPDL)

作者： Strobel, Phillip B. Clematide, Simon Meyer, Johannes Werner, Pascal Univ Zurich Dept Computat Linguist Zurich Switzerland Locomot GmbH Chur Switzerland Fotostiftung Graubunden Chur Switzerland

ISBN: (纸本)9783031724398;9783031724404

This study presents an innovative approach to archival digitisation and narrative generation using OpenAI's Generative Pre-trained Transformer (GPT) models. It focuses on the photographic index card catalogue of the Documentation Library Davos, digitised by the Fotostiftung Graubunden. Traditional archival retrieval systems often suffer from inefficiencies related to the manual handling and interpretation of historical records. Our project addresses these challenges by employing GPT models for optical character recognition (OCR) and automated narrative generation, transforming how index card content can be accessed and utilised. By prompting GPT models, we convert the analogue records into digital formats through accurate OCR with an average bag-of-characters F1 score of 93.5% and integrate this data with other historical sources to generate cohesive and engaging historical narratives about documented buildings in Davos. To access the mentioned buildings, persons and locations in a structured way, we develop a domain-specific NER model by bootstrapping it from GPT-generated automatic pre-annotations. Our methodology not only increases the accessibility and interpretability of archival materials but also enriches the cultural heritage by providing a more comprehensive understanding of historical contexts. Preliminary results of this pilot study demonstrate the potential of this approach to enhance the public's engagement with history and improve archival practices through technological innovation.

关键词： Photo Archive generative AI GPT OCR linked data cultural heritage digital humanities

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