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design of Data-Driven Learning Path Based on Knowledge Graph and Tracing Model 25

Design of Data-Driven Learning Path Based on Knowledge Graph...

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25th IEEE international conferences on High Performance Computing and Communications, 9th international conference on Data Science and Systems, 21st IEEE international conference on Smart City and 9th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Zhang, Juli Xia, Ruheng Wang, Quan Xidian University Academy of Advanced Interdisciplinary Research Xian China College of Computer Science and Technology Xidian University Xian China

ISBN: (纸本)9798350330014

With the explosive growth of online courses, per-sonalized learning path recommendations have gained much attention in E-learning area. Studies aim to provide customized guidance that cater to the needs of each learner. However, generating an appropriate learning path remains a challenge due to the complex cognitive relationships among learning items and learners' different abilities. Existing methods often overlook the impacts of cognitive structure and mastery level on the outcomes of customized instructions, leading to cognitive confusion problem. To address this issue, we propose a model named Data-Driven Learning Path based on Knowledge Graph and Tracing Model (LP-KAT), which combines knowledge graph (KG) and knowledge tracing model (KT) to store the relationships among learning items and reflect learners' abilities through the abundant data. the guidance is separated into concept and practice identification;besides, through reinforcement learning, our model can suggest a sequence of practices for different learners. Specifically, we first utilize a knowledge tracing model to track learners' evolving mastery levels at each learning step. then we design a concept selector that employs knowledge graph navigation algorithm and reinforcement learning to determine which concept to learn next. Finally, we utilize a practice selector to identify practice question based on the relationship between mastery level and difficulty of practice. We evaluate the proposed model against KNN, GRU4Rec, MCS and DQN using a real-world dataset, and the results show an improvement of more than 30 % in the effectiveness of concept mastery level and nearly 20% better than GRU4Rec across various learning path lengths. © 2023 IEEE.

关键词： Reinforcement learning

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design Fiction: A Way to Foresee the Future of Human–computer Interaction design Challenges 9th

Design Fiction: A Way to Foresee the Future of Human–Comput...

引用

9th international conference on Research into design, ICoRD 2023

作者： Misra, Suvodeep Dhar, Debayan Nandi, Sukumar Department of Design Indian Institute of Technology Guwahati Assam Guwahati78103 India

ISBN: (纸本)9789819902927

Human–computer interaction is centred around exploring the relationship between computational technologies and their users. HCI designers address the concerns of users by making innovative use of computational technologies but they seldom consider the potential impact of their conceptualized interventions on societies at large. there is a dearth of studies that explore how the impact of technology-based concepts on the futures of societies and long-term user behaviour can be anticipated. Awareness of future scenarios by designers during the design phase of HCI products is important because technology adoption brings about unexpected, diverse ways of user interaction that influence local beliefs and behaviours. the impact of these interventions on existing practices can be either enriching or detrimental. To ensure that the conceptualized interventions do not end up negating societal practices and give rise to anxiety amongst individuals or groups of individuals in future, designers need to pre-empt the effect of their conceptualizations before the intervention becomes mainstream. It is in this direction that the study is conducted and reported. the study highlights the inability of existing HCI practices in anticipating long-term scenarios and their impacts on society. In order to ensure HCI designers foresee such scenarios, practices from design fiction, a scenario generation methodology can be adopted. this study further proposes a theoretical method of grounding design fiction scenario-building strategies in the HCI process. We believe this framework will support HCI designers to successfully envisage the impact of their design concepts on societies and their practices in the long term. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Human computer interaction

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Collaborating with Agents in Architectural design and Decision-Making Process: Top-Down and Bottom-Up Case Studies Using Reinforcement Learning 9th

Collaborating with Agents in Architectural Design and Decisi...

引用

9th EAI international conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2023

作者： Yetkin, Ozan Surer, Elif Gönenç Sorguç, Arzu Department of Architecture Graduate School of Natural and Applied Sciences Middle East Technical University Ankara06800 Turkey Department of Modeling and Simulation Graduate School of Informatics Middle East Technical University Ankara06800 Turkey

ISBN: (纸本)9783031525230

this study focuses on how architectural designers, engineers, and academics can collaborate with computational intelligent agents in a design and decision-making process, which is a great challenge. Focusing on this idea, a novel approach is presented where designers can use intelligent agents to their advantage for exploring possibilities via data generation and data processing. the problem of collaboration is presented in two distinct approaches—top-down and bottom-up. In the top-down approach, a case is selected where the designer intends to solve a housing design problem starting from meeting the general requirements of total area and distribution of housing unit types. In the bottom-up approach, a case is selected where the designer plans for the very same problem by meeting the specific requirements of room area and relations. Both cases are based on a reinforcement learning (RL) approach in which the user is allowed to collaborate with the RL algorithm, and results are compared both with widely used algorithms for similar problems (genetic algorithms) and ground-truth (deterministic solutions by designer). Compared results of top-down and bottom-up approaches have shown that the reinforcement learning approach can be used as an intelligent data system to explore design space to find an optimal set of solutions within the objective space. Finally, both approaches are discussed from a broader perspective of how designers, engineers, and academics can collaborate with agents throughout the design and decision-making processes. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Reinforcement learning

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Popping Up Balloons for Science: a Research Proposal 9

Popping Up Balloons for Science: a Research Proposal

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9th international conference on Animal-computer Interaction (ACI)

作者： Barbay, Jeremy Freire-Fernandez, Daniel Lobos-Bustamante, Danko Univ Chile DCC Santiago Region Metropol Chile

ISBN: (纸本)9781450398305

Some video games were developed to entertain non human animals while measuring their abilities, logged in a file which can be analyzed later. Using such games to measure the limits of such abilities is problematic, as it requires the subjects to be exposed to instances that they cannot solve, potentially frustrating them. Could presenting the subjects with a mix of instances of various difficulties at the same time, and measuring their interaction with those, yield useful information about their abilities and inabilities, without frustrating the subjects? We propose to design, develop and validate a web game presenting several instances at once, inspired by existing ones such as 'Pop the Balloons', so that the subject can be exposed to a mix of "easy" and "difficult" instances in parallel, and to validate that this does not produce frustration by studying the correlation of the subjects' assiduity in playing the game with the rate of "difficult" instances.

关键词： Animal computer Interaction Comparative Psychology Digital Life Enrichment

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A Method for Sharing Economic Law Teaching Curriculum Resources Based on WEB Data Mining 9th

A Method for Sharing Economic Law Teaching Curriculum Resour...

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9th EAI international conference on e-Learning, e-Education, and Online Training, eLEOT 2023

作者： Li, Jie Li, Fang Zhao, Huan International Business School Xi’an Fanyi University Xi’an710105 China Wuhan University of Technology Wuhan430070 China

ISBN: (纸本)9783031514708

In order to address the shortcomings of low sharing accuracy and long waiting time for shared tasks in existing course resource sharing methods, this paper proposes a teaching course resource sharing method based on WEB data mining. First, sorting and mining the subset of economic law teaching curriculum resources, transforming unstructured data into data warehouse using XML format, and generating the minimum association rule set based on Apriori algorithm;Secondly, resource data cleaning is carried out using group by syntax, and wavelet coefficients are used to remove noise from resource data, achieving preprocessing of economic law teaching course resource data;Once again, the information gain algorithm is used to extract the information features of economic law teaching course resource data;Finally, use polynomial naive Bayes to classify resources and optimize resource sharing requests, completing the design of resource sharing methods for economic law teaching courses. the experimental results show that the accuracy of resource sharing using the method proposed in this article is between 90% and 98%, and the waiting time for shared tasks is between 2.35 s and 22.54 s. the sharing accuracy is high, the waiting time is short, and the sharing effect is good, which has good practicality. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Teaching

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Towards Human-AI Collaborative Architectural Concept design via Semantic AI 20th

Towards Human-AI Collaborative Architectural Concept Design ...

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20th international conference on computer-aided Architectural design Futures, CAAD Futures 2023

作者： Dai, Shuyao Li, Yang Grace, Kazjon Globa, Anastasia School of Architecture Design and Planning The University of Sydney 148 City Road DarlingtonNSW2008 Australia Department of Architecture National University of Singapore 4 Architecture Drive Singapore117566 Singapore

ISBN: (纸本)9783031371882

As artificial intelligence (AI) methods advance quickly, more and more researchers are becoming interested in how to incorporate them into architectural design. Co-creation between humans and machines is also gaining popularity, which lends credence to the idea that AI can aid in the creative phases of design. the research presented in this article develops an AI-assisted method for generative design. It envisions a pipeline that iteratively kneads from semantics to two-dimensional (2D) images to three-dimensional (3D) models and back again by combining a semantic AI model (CLIP) with differentiable rendering. It also enables conceptual form exploration in Rhino3D with the help of a neural network built on a Text2Mesh tool. the real-time, conceptual, iterative interplay between human designers and AI collaborators could be facilitated by this pipeline. We also conducted a case study on early concept exploration for a museum to validate our approach, showcasing its potential in practical design scenarios. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Semantics

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A Parametric Tool for Outdoor Shade design: Harnessing Quantitative Indices and Visual Feedback for Effective and Efficient Climatic design of Streets 20th

A Parametric Tool for Outdoor Shade Design: Harnessing Quant...

引用

20th international conference on computer-aided Architectural design Futures, CAAD Futures 2023

作者： Aleksandrowicz, Or Ozery, Ezra BDAR Lab Technion – Israel Institute of Technology Haifa Israel

ISBN: (纸本)9783031371882

To date, there is a lack of orderly and data-based methods for quantifying, evaluating, and benchmarking street-level outdoor shade in streets and urban public spaces. the lack of such methods impedes the effective design of walkable and liveable outdoors in locations where shading is essential for significantly mitigating outdoor heat stress. To address this shortcoming, we have developed Kikayon, a relatively simple parametric tool that allows planners and designers to easily compare the effect of design alternatives on outdoor shade provision based on building geometry and tree canopy morphologies while taking into account the variance of exposure to solar radiation at different times. the tool calculates several shade and tree indices, some we have originally developed, for each street design, giving users quick and straightforward feedback and enabling them to quantitatively compare design alternatives. Our tool is implemented as a Grasshopper code that harnesses several components of the Ladybug Tools suite. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Visual communication

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A Methodological Framework for SPL Engineering from DSML 1

引用

Model-Driven Engineering and Software Development - 9th international conference, MODELSWARD 2021, and 10th international conference, MODELSWARD 2022, Revised Selected Papers

作者： Englebert, Vincent Belarbi, Maouaheb Faculty of Computer Science NADI Research Institute University of Namur 61 rue de Bruxelles Namur5000 Belgium

ISBN: (数字)9783031388217

ISBN: (纸本)9783031388200

For the last ten years, Software Product Line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. Despite several tools exist, few works resolve SPL process for both problem and solution space. Due to these reasons, we propose a methodological framework that overcomes the limits of existing tools and holds all the phases and activities from the requirement design till the product derivation. We start by using a Domain Specific Modelling Language (DSML) for domain description, which allows system designers working closer to the system domain as they can manipulate real concepts. thereafter, an intermediate phase converts the DSML metamodel to a tree-structured representation similar to Feature Model (FM) notation enriched with extra-information such that cardinality, attributes, constraints, documentation, etc. the objective of this FM is to be used later as a decision tree to guide the generative process of our software factory in the following way: First, the engineer annotates the variation points with variability types such that binding time, granularity, evolution, etc, which are crucial concerns to be considered when generating the products. Second, based upon these annotations, our framework determines the possible useful variability mechanisms that could be employed to implement the product families and the engineers choose the variability programming tactic among them. Finally, the software factory produces the guidelines to implement the realization strategy and derive the related product assets through an assembly process. We provide a real industry running example giving insight into the application of the presented approach. © 2023, Springer Nature Switzerland AG.

关键词： Decision trees

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design of Online Network Multi Module Teaching System for ERP Sand Table Simulation Course 9th

Design of Online Network Multi Module Teaching System for ER...

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9th EAI international conference on e-Learning, e-Education, and Online Training, eLEOT 2023

作者： Lu, Biling Wang, Caili Hunan Traffic Engineering College Hengyang421001 China

ISBN: (纸本)9783031514647

In order to provide auxiliary tools for ERP sandbox simulation course teaching, an online network multi-module teaching system was designed and developed. the system database is constructed from conceptual models, logical structures, physical structures, and other aspects to provide storage space for the operational data of the teaching system. In terms of system software, user role division and authorization modules are used to determine the permissions of users in the system. By determining the course arrangement of the ERP sand table simulation course, simulating the role of enterprise operation participation, simulating the ERP sand table business process, and enterprise evaluation, the online teaching module of the ERP sand table simulation course has been designed. By designing and connecting the online network interaction module, network resource query module, and teaching evaluation module, the system software functionality has been completed. through system testing experiments, it has been concluded that compared to traditional teaching systems, the module teaching cases of the optimized design system have a higher success rate in operation and a 29 s reduction in operation delay, proving that the optimized design system has obvious advantages in functional operation, performance operation, and application performance. © 2024, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Sand

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"Hi, My Name is Robin" – Remotely Co-designing an Embodied Conversational Agent for Empathy with Older Adults 9th

"Hi, My Name is Robin" – Remotely Co-designing an Embodied ...

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9th international conference on Human Aspects of IT for the Aged Population, ITAP 2023, held as part of the 25th international conference on Human-computer Interaction, HCII 2023

作者： Tunc, Sefora Nijboer, Femke Tinga, Angelica M. Tabak, Monique Biomedical Signals and Systems Group Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands Roessingh Research and Development Enschede Netherlands

ISBN: (纸本)9783031348655

Embodied conversational agents (ECAs) have the potential to facilitate empathic relationships between older adults and eHealth coaches, but little research has been conducted on how to effectively include appearance and personality in the design of ECAs such that older adults can empathize with the agent. In this study, we aimed first to develop design requirements for ECAs that induce empathy in older adults. Second, we developed and reflected upon a remote (online), iterative co-design methodology which can be used as an alternative when traditional physical methods cannot take place (e.g. during COVID-19). Over the course of three months, five older adults (mean age 68 years) 1) received a paper booklet, 2) were invited to an Q&A session, 3) after which they were asked develop their own ECAs at home using the booklet, 4) and came back to discuss their designs online in a group setting to determine design requirements, 5) which were used to develop an interactive ECA, 6) that was individually evaluated in an online meeting. the final ECA, called Robin, was positively perceived in terms of appearance, but the participants expected the conversation with Robin to be more flexible and deeper. Overall, the current study demonstrated the feasibility of remote co-design activities for this population and presents recommendations for researchers and practitioners interested in or in need for a remote approach. Moreover, the current findings are translated in lessons learnt to inform design and development of future ECAs for older adults. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： design

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