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The Challenge of Modeling the Complexity of Use for the Measurement of Digital Maturity in Education 19th

The Challenge of Modeling the Complexity of Use for the Meas...

引用

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

作者： Michel, Christine Pierrot, Laetitia Oru, Frederic Vigneau, Olivier Univ Poitiers Techne UR 20297 F-86000 Poitiers France Le Mans Univ CREN UR 2661 F-72000 Le Mans France AI4Better F-75018 Paris France EDIFICE F-75017 Paris France

ISBN: (纸本)9783031723148;9783031723155

Measurement of teachers' digital maturity can be useful in diagnosing technology adoption in education and in supporting teachers' professional development. However, there is a lack of easily usable tools in the existing literature. By investigating the most effective ways to measure teachers' digital maturity, our research aims to fill this gap. The focus of this article is on a data-driven approach to the assessment of digital maturity in education. Following a process similar to teaching analytics (data collection, data modeling, data understanding and visualization, and contextual understanding), we draw on diary data collected from 12949 French primary school teachers using a virtual learning environment (VLE) during the 2022-2023 school year. Specifically, the paper presents results related to modeling and visualizing data. To this end, we propose a critical analysis of two automatic classification techniques, one supervised rule-based and the other unsupervised (hierarchical clustering). In addition to providing different scales to measure, we have proposed a new approach to diagnose and visualize digital maturity. In this way, the method provides insight into the diversity and intensity of technology use, contributing to a better understanding of digital maturity and providing a practical tool for assessing day-to-day teaching practices.

关键词： Teachers' Digital Maturity Technology Integration Teacher Education and Professionalization Educational Data Mining DigCompEdu

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Improving Retrieval and Expression of Iconographical and Iconological Semantic Statements: An Extension of the ICON Ontology 28th

Improving Retrieval and Expression of Iconographical and Ico...

引用

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

作者： Baroncini, Sofia Sartini, Bruno Leibniz Inst Europa Geschichte IEG Mainz Germany Ludwig Maximilians Univ Munchen Munich Germany

ISBN: (纸本)9783031724367;9783031724374

Domain-specific data face the long-standing challenge of expressing granular knowledge in a structured way, which is fundamental for fostering information retrieval in the context of domain-specific semantic digital libraries. In the art history field, the ICON ontology strives to face such a challenge by providing a model for describing complex iconographical and iconological interpretations of visual artworks with a high level of granularity. Nevertheless, such a detailed model has drawbacks when applied to extensive real-world data. The need for an extension of the ICON ontology emerged during the creation of 1) the Iconology Dataset, a manually curated dataset representing a selection of the interpretations by the art historian Erwin Panofsky, and 2) IICONGRAPH, a knowledge graph (KG) created by re-engineering the iconographic statements of Wikidata and ArCo. In this work, we present the ontology extension made after the experience of creating such diverse resources. The updates cover two distinct aspects. Whereas some features needed a more thorough description, other interventions sought to simplify the ontology to optimize queries. To this end, we present the motivation for such modeling that emerged from the creation of the Iconology Dataset and IICONGRAPH. We evaluate the newly added features through competency questions and in terms of their efficiency.

关键词： Art Historical Datasets Semantic Web Ontologies Iconography Iconology

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Exploring the Impact of Automation Transparency on User Perceptions and Learning Outcomes in Adaptive Instructional Systems 6th

Exploring the Impact of Automation Transparency on User Perc...

引用

6th International Conference on Adaptive Instructional Systems (AIS) Held as Part of the 26th International Conference on Human-computer Interaction (HCII)

作者： Pharmer, Rebecca L. Colorado State Univ Ft Collins CO 80523 USA

ISBN: (纸本)9783031606083;9783031606090

In this study, an adaptive instructional system was developed to explore the impact of automation transparency on learning outcomes in an assembly task. Participants were instructed on an assembly process for 8 unique shapes. The system assigned either adaptive instruction, tailoring restudy based on learner performance, or static instruction, providing a fixed amount of restudy. Transparency was implemented in the form of text-based feedback provided to the learner. Participants either received transparent feedback with explanations regarding why the system assigned restudy of concepts, or general feedback without explanations. While adaptive instruction and automation transparency did not show a consistent performance improvement in the assembly task, they appeared to influence participants' perceptions of the training. The findings and implications will be discussed.

关键词： Adaptive Instructional Systems Automation Transparency Learning Adaptive Instruction

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Tracking Students' Progress in Educational Escape Rooms Through a Sequence Analysis Inspired Dashboard 19th

Tracking Students' Progress in Educational Escape Rooms Thro...

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42nd Conference and Exposition on Structural Dynamics (IMAC)

作者： Lopez-Pernas, Sonsoles Gordillo, Aldo Barra, Enrique Saqr, Mohammed Univ Eastern Finland Joensuu 80100 Finland Univ Politecn Madrid Madrid 28040 Spain

ISBN: (纸本)9783031723117;9783031723124

Learning analytics dashboards are the main vehicle for providing educators with a visual representation of data and insights related to teaching and learning. Recent research has found that the data visualizations provided by dashboards are often very basic and do not take advantage of the latest research advances to analyze and depict the learning process. In this article, we present a success story of how we adapted a visualization used for research purposes for its integration in a dashboard for its use by teachers in daily practice. Specifically, we described the process of transforming and integrating a static sequence analysis visualization into an interactive web visualization in a learning analytics dashboard for monitoring students' temporal trajectories in educational escape rooms in real time. We interviewed teachers to find out how they made use of the dashboard and present a qualitative content analysis of their responses.

关键词： learning analytics sequence analysis game-based learning educational escape rooms dashboards

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Evaluation of an LLM-Powered Student Agent for Teacher Training 19th

Evaluation of an LLM-Powered Student Agent for Teacher Train...

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42nd Conference and Exposition on Structural Dynamics (IMAC)

作者： Bhowmik, Saptarshi West, Luke Barrett, Alex Zhang, Nuodi Dai, Chih-Pu Sokolikj, Zlatko Southerland, Sherry Yuan, Xin Ke, Fengfeng Florida State Univ Tallahassee FL 32306 USA Univ Hawaii Manoa Honolulu HI 96822 USA

ISBN: (纸本)9783031723117;9783031723124

As technology continues to advance, there is a growing interest in exploring the potential of generative agents and large language model (LLM)-powered virtual students to revolutionize the field of education. In this work, we present Evelyn AI, a LLM-powered virtual student conversation agent that we developed for pre-service teacher training in a virtual environment. Students powered by Evelyn AI exhibit varying baseline conceptual understanding levels, dynamic cognitive-affective states, and short-term memory. These features enable personalized, adaptive training and promote a more engaging and immersive learning experience for pre-service teachers. We describe the design and implementation of Evelyn AI, and report results of alpha testing to assess the utility of Evelyn AI for pre-service teacher training.

关键词： Teaching simulation Teacher education Large Language Model Sentiment Analysis Cognitive-affective states Virtual Student Agent

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Visual or Auditory First? The Modality Shift Effect in Two-Stage Takeover Warning 13th

Visual or Auditory First? The Modality Shift Effect in Two-S...

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13th International Conference on Design, User Experience and Usability (DUXU)

作者： Wang, Yang Zhou, Chu Wang, Xuesong Yang, Shuo Fudan Univ Dept Psychol Shanghai 200433 Peoples R China Tongji Univ Sch Transportat Engn Shanghai 201804 Peoples R China Tongji Univ Key Lab Rd & Traff Engn Minist Educ Shanghai 201804 Peoples R China

ISBN: (纸本)9783031613524;9783031613531

Two-stage warning systems play a crucial role in ensuring safe and stable takeovers in conditional automated driving when drivers are engaged in non-driving-related tasks (NDRT). This study aims to investigate the effectiveness of visual and auditory warning modalities, particularly when NDRT have overlapping modality resources with the first-stage takeover warning. Two simulated driving experiments were conducted in a driving simulator, and we discovered that visual warnings were significantly more affected by the NDRT modality overlap than auditory warnings. The findings highlighted that modality overlap between takeover warnings and NDRT can negatively affect takeover stability. These results also indicate that it is imperative to take into account the modality shift effect and its first-stage modality while designing two-stage warning systems. Our results suggest that using auditory warnings in the first stage leads to a more stable takeover performance than visual warnings. We found that the modality of the initial takeover warning significantly influences drivers' attention allocation and alertness. These insights provide empirical support for the industrial design of two-stage takeover warning systems, paving the way for more diversified and effective automobile intelligent cockpit designs.

关键词： Two-stage takeover warning multisensory integration modality shift effect

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Aligning AI Tool Classification with the EU AI Act: A Rule-Based Approach 13th

Aligning AI Tool Classification with the EU AI Act: A Rule-B...

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

作者： Mike, Nimrod Corvinus Univ Budapest Budapest Hungary

ISBN: (纸本)9783031682100;9783031682117

This short paper explores the evolving landscape of Artificial Intelligence (AI) regulation under the European Union's AI Act, emphasizing the need for trustworthy AI systems. Employing a rule-based classification approach, this study systematically categorizes AI tools into risk categories defined by the EU AI Act, integrating sentiment analysis and named entity recognition to enhance classification accuracy.

关键词： EU AI Act Rule-based categorization AI Systems

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Comparative Analysis of Evaluation Measures for Scientific Text Simplification 28th

Comparative Analysis of Evaluation Measures for Scientific T...

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

作者： Davari, Dennis Ermakova, Liana Krestel, Ralf Univ Kiel Kiel Germany Univ Bretagne Occidentale HCTI Brest France ZBW Leibniz Informat Ctr Econ Kiel Germany

ISBN: (纸本)9783031724367;9783031724374

Access to reliable scientific knowledge is crucial to making informed decisions for both policymakers and citizens. However, scientific documents are inherently difficult due to their complex terminology and vernacular. Automatic text simplification aims to remove some of these barriers. Evaluation frameworks, which include collections and evaluation measures, are designed to assess the generated text simplifications. In this paper, we perform a comparative analysis of current text simplification evaluation measures on both scientific text and a generic corpus based on Wikipedia. Our main finding is that the currently existing measures tend to perform worse on scientific texts and on longer texts consisting of several sentences. More generally, our analysis informs the development of suitable text simplification evaluation measures for scientific texts.

关键词： Scientific documents Automatic text simplification Evaluation measures Test collections Scholarly Communication User study

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Students' Perceptions of Adopting Learning Analytics 20th

Students' Perceptions of Adopting Learning Analytics

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20th International Conference on Intelligent Tutoring Systems (ITS)

作者： Tzimas, Dimitrios Demetriadis, Stavros Aristotle Univ Thessaloniki Thessaloniki Greece

ISBN: (纸本)9783031630279;9783031630286

Learning analytics (LA) refers to the collection, analysis, and presentation of big data to assist teachers in optimising learning conditions. Although LA has made contributions, it still has not met students' needs because it does not provide sufficient actionable insights that prioritise learning over analytics. Moreover, the degree of LA adoption is still limited, and students and teachers who do adopt LA do not engage with it consistently. Our research aims to examine students' perspectives of adopting LA. The research question is as follows: "What are students' learning perceptions and satisfaction under learning analytics-based guidance?" A qualitative study that included interviews and a perception survey was conducted at a university in Greece. The factors that affected the adoption of LA were performance expectancy, feelings, and guidance, according to the findings. Student satisfaction was also high with LA-based guidance. We discuss the implications and future research for students adopting LA.

关键词： Learning analytics adoption Higher education Co-design Students' perceptions Qualitative study

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Possibility of Practicing Effectual Selling by Non-salespersons

Possibility of Practicing Effectual Selling by Non-salespers...

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Conference on Human Interface and the Management of Information Thematic Area (HIMI) Held as Part of the 26th International Conference on Human-computer Interaction (HCII)

作者： Honge, Shinji Taniguchi, Chizuru Okayama Univ Sci Okayama Japan Snack Lemonade Inc Osaka Japan

ISBN: (纸本)9783031601248;9783031601255

This research is a case study to examine the question "How can we sell without selling?" in accordancewith the logic of Effectuation. For this purpose, we examined the association between the activities of employees of medical management consulting firms and Effectual Selling. We used the method of collaborative autoethnography to study, initiating at the time when she was a working graduate student at a business school, through a period of having sideline works, and to the time when she started her own company. The result may motivate practitioners to take action, since it indicates that the Effectuation logic and the "Otherish" behavior by successful other-oriented givers who are non-salespeople stimulates long-term sales achievements.

关键词： Collaborative Work Sales Effectuation Entrepreneurship

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