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

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Scalable Mentoring Support with a Large Language Model Chatbot 19th

Scalable Mentoring Support with a Large Language Model Chatb...

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42nd Conference and Exposition on Structural Dynamics (IMAC)

作者： Soliman, Hassan Kravcik, Milos Neumann, Alexander Tobias Yin, Yue Pengel, Norbert Haag, Maike DFKI Berlin Germany Rhein Westfal TH Aachen Aachen Germany Univ Leipzig Leipzig Germany

ISBN: (纸本)9783031723117;9783031723124

Education students engage in diverse learning activities requiring appropriate assistance and timely feedback. As their numbers grow, providing them with scalable support is an important challenge. Here, we focus on the development of a didactic chatbot based on a Large Language Model (LLM). The potential of LLMs is enhanced by existing materials and pedagogical course descriptions. Using Retrieval Augmented Generation (RAG), the bot can retrieve and analyse course materials, in order to provide comprehensive answers to specific questions. Preliminary results indicate that it is possible to distinguish between different student contexts and to generate a prompt answer, taking into account the relevant materials. The evaluation results achieved 84.78% accuracy in providing correct answers for seminar materials.

关键词： Large Language Model Chatbot Scalable Mentoring

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Advanced Visualization Techniques for Music Theory 9th

Advanced Visualization Techniques for Music Theory

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9th International Conference on Mathematics and Computation in Music (MCM)

作者： Baroin, Gilles Cohn, Richard Univ Toulouse Toulouse France Yale Univ New Haven CT USA

ISBN: (纸本)9783031606373;9783031606380

Authors such as Hook, Tymozcko, and Cohn have used still imagery to model relation systematic pitch correlation and convey new analytical insights. Here we explore the pedagogical advantages of using industry-level graphic software to produce animations in a visual language to which many users are habituated. This paper describes some of the technological resources and the advantages that they afford. It then presents fixed-image representations, and describes animated ones, of analyses of short cyclic progressions of harmonies in songs by Richard Rodgers (as performed by Ella Fitzgerald) and Nick Cave (as adapted and performed by Johnny Cash), as well as a passage of Schubert.

关键词： Mathemusic Visualization Music Theory

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Iterative Co-design of an Activity-Planning Mobile App for People Living with Early-Stage Dementia 10th

Iterative Co-design of an Activity-Planning Mobile App for P...

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10th International Conference on Human Aspects of IT for the Aged Population (ITAP) Held as Part of the 26th International Conference on Human-computer Interaction (HCII)

作者： Wilson, Michael O'Sullivan, Dympna Turner, Jonathan Doyle, Julie Dundalk Inst Technol NetwellCASALA Dundalk Ireland Technol Univ Dublin Dept Comp Sci ASCNet Res Grp Dublin Ireland

ISBN: (纸本)9783031615450;9783031615467

Living well with dementia through delaying or preventing disability and enhancing quality of life has become a primary objective of public health policy across the world. This paper discusses a co-design approach applied to a projectwhich aims to develop a digital toolkit to support someone living with mild-to-moderate dementia, together with their informal carer(s), to live independently for longer in their own homes through planning and monitoring personalised care goals, engaging in daily andmeaningful activities, and encouraging and facilitating shared decision making. The paper will focus on the implementation of design recommendations arising out of the requirements gathering stage as well the codesign of the application involving both person living with dementia/informal carer dyads as well as health professionals.

关键词： Co-design dementia self-management digital health

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Drivers of True and False Information Spread: A Causal Study of User Sharing Behaviors 17th

Drivers of True and False Information Spread: A Causal Study...

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

作者： Sun, Ling Carley, Kathleen M. Rao, Yuan Xi An Jiao Tong Univ Xian 710049 Shaanxi Peoples R China Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9783031722400;9783031722417

Analyzing and predicting user information-sharing behavior on online social platforms is a crucial task in social sciences. While current prediction tasks primarily emphasize accuracy, they often neglect the underlying motivations that drive user behavior, hindering a fundamental understanding and control of the information spreading environment. To address this, we analyze and quantify potential factors that may drive user sharing behavior based on social theories. Our limited derived feature set achieves over 85% accuracy in predicting user behavior on two real-world datasets, demonstrating its effectiveness. Notably, through employing causal inference techniques, our analysis on true and false information spread reveals that users with lower authority are more susceptible to being misled by false information. In contrast, the propagation of truthful news is often driven by personal preference or influenced by users' social circles. By uncovering these underlying motivations, our approach facilitates a deeper comprehension of the online information ecosystem, contributing to more effective management strategies for false information mitigation.

关键词： Behavior Prediction False Information Causal Inference

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GoaLearn App: A Goal-Setting and Monitoring Application to Support Students' Self-regulated Learning 19th

GoaLearn App: A Goal-Setting and Monitoring Application to S...

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42nd Conference and Exposition on Structural Dynamics (IMAC)

作者： Zhang, Shirong Bryczkowski, Jan Maciej Specht, Marcus Delft Univ Technol NL-2628 CD Delft Netherlands

ISBN: (纸本)9783031723117;9783031723124

Self-regulated learning (SRL) stands as a crucial competency for learners in the 21st century. Research showed that equipped with strategies to regulate their learning and development, students demonstrated higher academic achievements and increased motivation. However, many students, across all age groups, often lack these essential SRL skills or struggle to effectively apply them. This challenge is exacerbated in digital and remote educational settings, where students operate autonomously without the traditional support provided in face-to-face learning environments. Grounded in Zimmerman's SRL model and the latest educational psychology research, we have developed an educational application, GoaLearn App, aimed at supporting students' SRL process. This application is designed to equip students with the necessary tools and guidance to take charge of their learning experience, set academic goals, manage tasks, and effectively monitor their progress. One notable feature is its incorporation of SRL prompts and surveys to facilitate reflection at various learning stages, a component often absent in existing goal-setting apps or planners. To address the specific needs of middle school students, this application includes functionalities such as class enrolment and shared goal and task templates provided by teachers. Currently, the application is being tested in middle schools across three countries as a part of a European project. It has gathered significant interests from teachers to utilize it for SRL skill development in students. Through the collection of real-world data, our goal is to refine and enhance GoaLearn, ultimately empowering students at different age groups to become active agents in their learning journey.

关键词： Self-Regulated Learning Goal-Setting Monitoring Reflection Mobile Application Web Application

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Content-Based Dataset Retrieval Methods: Reproducibility of the ACORDAR Test Collection 28th

Content-Based Dataset Retrieval Methods: Reproducibility of ...

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

作者： Menotti, Laura Barusco, Manuel Forza, Riccardo Silvello, Gianmaria Univ Padua Dept Informat Engn Padua Italy

ISBN: (纸本)9783031724367;9783031724374

The FAIR principles constitute a cornerstone of contemporary scientific methodology, with the Digital Library (DL) community actively participating and providing significant advancements within this framework. By taking a reproducibility approach, this paper centers on findability, a pivotal aspect of scientific data management and stewardship. Specifically, we delve into the critical role of Data Search in enabling efficient retrieval across various contexts, including scholarly publications and scientific data management. Consequently, the convergence of Digital Library and Information Retrieval (IR) domains underscores the necessity to adapt document-level IR techniques to optimize dataset retrieval processes. Dataset retrieval relies on dataset descriptions, hampered by incomplete and inconsistent metadata issues. Lately, there has been a growing emphasis on Content-Based Dataset Retrieval (CBDR), where metadata and dataset content are equally considered during indexing and retrieval. ACORDAR is the first open test collection to evaluate CBDR methods. It offered early insights into the benefits of integrating dataset content in retrieval. Our study thoroughly assesses ACORDAR's quality and reusability while investigating the reproducibility of retrieval results. Concerns arise about accessibility to the collection's content due to broken links for 17.6 of datasets. Despite some errors and requiring non-trivial pre-processing steps, we replicated most but not all CBDR methods, thus raising some concerns about the suitability of ACORDAR as a reference test collection to further advance CBDR research and to employ these methods in the context of DL.

关键词： Data Search and Discovery in Digital Libraries FAIR Data Data Management Information Retrieval

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Facilitators and Barriers of Marginalized Groups for the Engagement in Online Civic Activities 13th

Facilitators and Barriers of Marginalized Groups for the Eng...

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13th International Conference on Electronic Government and the Information Systems Perspective (EGOVIS)

作者： Kocsis, Otilia de Lera, Eva Bedek, Michael A. Zangl, Maria Colt, Radu Sausova, Veronika Birasova, Lucia Raising Floor Ave Arts 7-8 B-1210 Brussels Belgium Karl Franzens Univ Graz Univ Pl 3 A-8010 Graz Austria Agentia Metropolitana Brasov St Inst Lui 35 Brasov 500007 Romania Mesto Martin Nam SH Vajanskeho 1 Martin 03649 Slovakia PEDAL Consulting Bjornsonova 4807-5 Martin 03601 Slovakia

ISBN: (纸本)9783031682100;9783031682117

Digital inequalities are still present on a large scale in the European Union, as despite the significant progress towards digitization, many countries are struggling to close the gap. Digital inclusion becomes even more important for socially marginalized and vulnerable groups of citizens in the context of engagement and participation in civic activities. While online civic engagement platforms could contribute to reducing the gap, the design and development was not clearly accounting for the inclusion factors from the start, thus the needs, motivation and barriers of marginalized groups were not explored to the necessary extent. This study focuses on the identification of facilitators and barriers that contribute to motivating and enabling, or are blocking the online civic participation of people from such groups. As a result of the Delphi study conducted with the Representatives of marginalized and vulnerable groups, two aggregated ranked lists of enablers and respectively barriers were established. These results showed that besides the positive or negative impact that the technology could play in the motivation for online civic engagement, more actions are needed at policy making level in order to reach people of marginalized and vulnerable communities in a more efficient manner.

关键词： Online Civic Engagement Marginalized Citizens Facilitators and Enablers Barriers and Obstacles

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The Unique Chain Rule and Its Applications 27th

The Unique Chain Rule and Its Applications

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27th International Conference on Financial Cryptography and Data Security (FC)

作者： Bhat, Adithya Bandarupalli, Akhil Bagchi, Saurabh Kate, Aniket Reiter, Michael K. Purdue Univ W Lafayette IN 47906 USA Duke Univ Durham NC 27708 USA

ISBN: (纸本)9783031477539;9783031477546

Most existing Byzantine fault-tolerant State Machine Replication (SMR) protocols rely explicitly on either equivocation detection or quorum certificate formations to ensure protocol safety. These mechanisms inherently require O(n(2)) communication overhead among n participating servers. This work proposes the Unique Chain Rule (UCR), a simple rule for hash chains where extending a block by including its hash in the next block, is treated as a vote for the proposed block and its ancestors. When a block obtains a vote from at least one correct server, we can commit the block and its ancestors. While this idea was used implicitly earlier in conjunction with equivocation detection or quorum certificate generation, this work employs it explicitly to show safety. We present three applications of UCR. We design Apollo, and Artemis: two novel synchronous SMR protocols with linear best-case communication complexity using round-robin, and stable leaders, respectively as the first two applications. Next, we employ UCR in a black-box fashion toward making any SMR commits publicly verifiable, where clients will no longer have to wait for 2t + 1 confirmations on every block, where t is the number of Byzantine faults tolerated by the protocol, but can instead collect a UCR proof consisting of min(kappa, t) + 1 extensions on a block, where kappa is a security parameter. This results in faster syncing times for clients as the publicly verifiable proofs can also be gossiped with every new block extension confirming a new block.

关键词： Cryptography

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Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities 20th

Towards Neuro-Enhanced Education: A Systematic Review of BCI...

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20th International Conference on Intelligent Tutoring Systems (ITS)

作者： Pan, Ziqi Cristea, Alexandra I. Univ Durham Dept Comp Sci Durham England

ISBN: (纸本)9783031630309;9783031630316

Students' success in the 21st century demands not only strong academic skills but also well-developed Non-academic Skills and Abilities (NaSAs) such as critical thinking, concentration, and emotion regulation. The emerging field of Brain-computer Interfaces (BCIs) offers intriguing possibilities for enhancing student learning and development, by providing real-time neurofeedback that could inform personalised strategies. While research on the impact of BCIs on academic skills is growing, there is limited research regarding their potential to promote NaSAs. This Systematic Literature Review (SLR) aims to address this gap, by investigating and analysing the existing research on how BCIs can be used to assist the development of these crucial skills and abilities. This SLR provides a comprehensive analysis of 46 empirical studies between 2013-2023 selected via the well-accepted PRISMA method from 922 candidate studies. This analysis explores the diverse ways BCIs can facilitate or enhance the development of cognitive, motor, and inter/intra- personal NaSAs, either passively or actively. The findings of this SLR offer valuable insights into the potential of BCIs to revolutionise education towards a neuro-enhanced future that promotes not only academic achievement, but also holistic student growth.

关键词： Brain-computer Interface (BCI) 21st Century Skills Student Development Non-academic Skills and Abilities

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Investigating Learning Dashboards Adaptation 19th

Investigating Learning Dashboards Adaptation

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

作者： Barbe, Remi Encelle, Benoit Sehaba, Karim Univ Lyon 2 Univ Lyon UCBL INSA LyonLIRISCNRSUMR5205 F-69622 Villeurbanne France UCBL Univ Lyon 2 Univ Lyon INSA LyonCent LyonLIRISCNRSUMR5205 F-69676 Bron France

ISBN: (纸本)9783031723148;9783031723155

Although there is a growing number of learning analytics dashboards (LADs), they often fail to improve learning and learners' awareness due to their lack of adaptation capabilities. This paper presents a systematic review that follows the PRISMA statement and analyzes the adaptation features of LADs and their potential effects on learning. 24 of the 462 articles retrieved were scrutinized using an analysis framework centered on adaptation. The main finding is that there is more evidence of adaptable LADs than adaptive LADs, suggesting that adaptivity is worth exploring. The results mainly highlight 3 common LADs adaptable capabilities - most of which offer data exploration features - and 2 adaptive ones that change or refresh indicators on dashboards. Only a few articles investigate the adaptation of indicator visualizations or organization on dashboards. Currently, there is no work on the use of advanced computing techniques such as machine learning for LADs adaptation. Additionally, only 5 articles provide some evidence of dashboards adaptation features evaluation. As a result, a preliminary research agenda on LADs adaptation is suggested for enhancing LADs adoption and utility.

关键词： Learning Analytics Dashboards Systematic Review Adaptation Learning Indicators

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