Development of Intelligent Information System for Digital Cultural Contents

Hur, Yuna; Jo, Jaechoon

doi:10.3390/math9030238

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…Other common usability issues found on the website and the mobile app referred to the lack of a search bar, which is very important for users [28], and the similarity between the icons of some buttons.…”

Section: Discussion On the Overall Multi-platform User Evaluation 61 General Discussionmentioning

confidence: 99%

User Evaluation of a Multi-Platform Digital Storytelling Concept for Cultural Heritage

et al. 2021

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Digital storytelling platforms have proven to be a great way of bringing cultural heritage closer to people. What lacks is a deeper understanding of the user experience of such systems, especially in multi-platform digital storytelling. For the last three years, we have been developing a project called Spotlight Heritage Timisoara, which is at its core a digital storytelling platform for the city of Timisoara (Romania), soon to be European Capital of Culture in 2023. The project consists of a website, mobile applications, and interactive museographic and street exhibitions. This paper presents a multi-platform usability evaluation study which employed semi-structured interviews, observations, think-aloud protocol, SUS questionnaire, Net Promoter Score and Product Reaction Cards to gather insights from 105 participants and reveal usability problems in the Spotlight Heritage context. We found out that the four platforms, i.e., interactive touchscreen table, desktop/laptop, mobile and Augmented Reality, have very good usability scores, are considered accessible and useful, work seamlessly together, and create user satisfaction and loyalty, across demographic groups, having the potential to bring people closer to cultural heritage.

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Section: Discussion On the Overall Multi-platform User Evaluation 61 General Discussionmentioning

confidence: 99%

User Evaluation of a Multi-Platform Digital Storytelling Concept for Cultural Heritage

et al. 2021

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“…In recent years, great progress has been made in the representation learning of KGs [15][16][17][18], and many models are based on translation operations. TransE [10] is the most classic and representative translation-based model.…”

Section: Related Work 121 Translation-based Modelsmentioning

confidence: 99%

Rule-Guided Compositional Representation Learning on Knowledge Graphs with Hierarchical Types

Mao¹,

Chen²

2021

Mathematics

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The representation learning of the knowledge graph projects the entities and relationships in the triples into a low-dimensional continuous vector space. Early representation learning mostly focused on the information contained in the triplet itself but ignored other useful information. Since entities have different types of representations in different scenarios, the rich information in the types of entity levels is helpful for obtaining a more complete knowledge representation. In this paper, a new knowledge representation frame (TRKRL) combining rule path information and entity hierarchical type information is proposed to exploit interpretability of logical rules and the advantages of entity hierarchical types. Specifically, for entity hierarchical type information, we consider that entities have multiple representations of different types, as well as treat it as the projection matrix of entities, using the type encoder to model entity hierarchical types. For rule path information, we mine Horn rules from the knowledge graph to guide the synthesis of relations in paths. Experimental results show that TRKRL outperforms baselines on the knowledge graph completion task, which indicates that our model is capable of using entity hierarchical type information, relation paths information, and logic rules information for representation learning.

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“…Olaniyan and Graham (2014) referred to relevant initiatives as technological innovation, i.e., inventions derived from research, technical knowledge, and tools. Examples include semantic web technology for the accurate and efficient searching of useful content for learners (Hur & Jo, 2021), artificial intelligence (AI) systems to support personalised learning , and mobile applications to improve students' engagement and enrich their learning experience (Lai et al, 2022). Gabarda Méndez et al (2023) argue that digital competence and effective use of technology are vital for teaching innovation.…”

Section: Introductionmentioning

confidence: 99%

Features and patterns of teaching and learning innovations in open and distance learning universities

Li,

Wong,

Liu

2024

Educ. Lifelong Dev. Res.

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This paper presents a study on the features and patterns of teaching and learning innovations in open and distance learning universities. The study covers 19 universities across the globe. Based on the information from their institutional websites, the teaching and learning innovations claimed by the universities were identified and categorised into five primary types: programmes or courses, teaching and learning approaches and activities, educational technologies, assessment approaches and activities, and units established in the universities to foster teaching and learning innovations. Technological innovation has been identified as a core element that shapes the formation of teaching and learning innovations, and relevant units established in the universities have been shown to serve as an incubator for technological innovation. These findings offer insights into the development and implementation of teaching and learning innovations in open and distance universities to cope with various contextual and environmental factors.

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Development of Intelligent Information System for Digital Cultural Contents

Cited by 4 publications

References 15 publications

User Evaluation of a Multi-Platform Digital Storytelling Concept for Cultural Heritage

User Evaluation of a Multi-Platform Digital Storytelling Concept for Cultural Heritage

Rule-Guided Compositional Representation Learning on Knowledge Graphs with Hierarchical Types

Features and patterns of teaching and learning innovations in open and distance learning universities

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