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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

B. Divjak

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3 papers indexed here

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Review Sep 2026

Evaluating the quality of learning design with learning analytics

This study aims to support quality assurance in education by exploring and clarifying the concept of learning design quality (LDQ) and how learning analytics (LA), specifically design analytics, can be used to enhance it. The authors first provide structure to the concept of LDQ by conducting a rapid scoping...

B. Divjak, B. Svetec, Damir Horvat · 0 citations
Open access Aug 2026

From learning analytics to educational interventions: enhancing decision-making and learning design

Since the early development of learning analytics (LA), the cyclical nature of the process that starts with learning data and ends with educational interventions has been widely acknowledged. However, while LA research abounds, and LA practices are becoming more widespread, the final step of the cycle – introducing edu...

B. Svetec, B. Divjak, Nikola Kadoić · 1 citation
#artificial intelligence Open access Sep 2026

From insight to intervention: learning analytics and generative AI support for learning design and educational decision-making

Recent advances in learning design tools, learning analytics, and generative artificial intelligence (GenAI) have created new possibilities for educators to design, monitor, and adapt learning experiences. Yet evidence that these possibilities routinely translate into student-centred, inclusive, personalised, and effec...

Bart Rienties, B. Divjak, Nancy W. Y. Law · 0 citations

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