Titlebook: Wisdom, Well-Being, Win-Win; 19th International C Isaac Sserwanga,Hideo Joho,Anne J. Gilliland Conference proceedings 2024 The Editor(s) (i

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Wisdom, Well-Being, Win-Win978-3-031-57867-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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勉勵(lì)

https://doi.org/10.1007/978-3-031-57867-0Computer Science; Informatics; Conference Proceedings; Research; Applications

Compass

A Network Portrait Divergence Approach to Measure Science-Technology Linkagesm is applied to generate network portraits and calculate portrait distance between S&T knowledge networks to gauge their dynamic structural coupling. The results demonstrated that the knowledge network-based coupling approach could detect the linkages and interaction patterns of S&T at a fine-graine

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巫婆

Key Factors of Government Knowledge Base Adoption in First-, Second- and Third-Tier Cities in Chinao knowledge base, intention to knowledge reuse) have a positive impact on the adoption of knowledge base in local governments in all cities while performance expectancy and compatibility have a positive impact on the adoption only in first- and second-tier cities. Facilitating conditions do not posi

jungle

Beliefs, Values and Emotions in Education Practitioners’ Engagements with Learning Analytics in Highus groups with staff from a provider of digital services for UK higher education and staff from UK universities. With insights from this research, we aim to contribute to empower practitioners in higher education and relevant stakeholders to foster the development of critical and reflective data cul

Frenetic

Promoting Academic Integrity Through Gamification: Testing the Effectiveness of a 3D Immersive Videoanding of academic integrity concepts by providing contextualized memorability whilst relieving anxiety. Students’ engagement with the game was linked to game features such as appealing aesthetics, customization, and contextualization. The paper concludes by offering recommendations concerning the e

新娘

Enhancing Ethical Governance of?Artificial Intelligence Through Dynamic Feedback Mechanisments an innovative conceptual framework rooted in dynamic feedback reinforcement learning theory. This pioneering framework, cultivated through the collaboration of multiple stakeholders, encompasses various dimensions encompassing law, technology, and market dynamics. Additionally, it establishes a