Dr Phil's Learning Research Digest

Dr Phil's Learning Research Digest

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Dr Phil's Learning Research Digest
Dr Phil's Learning Research Digest
The Learning Research Digest vol. 22

The Learning Research Digest vol. 22

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Dr Philippa Hardman
Jul 22, 2024
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Dr Phil's Learning Research Digest
Dr Phil's Learning Research Digest
The Learning Research Digest vol. 22
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👋 Hello, fellow Learning Scientists!

Welcome to the July 2024 edition of the Learning Science Digest. This month we’ve seen the publication of a number of fascinating research papers, including (yet more!) significant advancements in the integration of AI in instructional design and the evolving role of educators in this new landscape.

🔥 Hot Off the Research Press This Month

AI & Instructional Design: An exploration of how Generative Artificial Intelligence tools are transforming instructional design and assessment, highlighting both the disruptions and innovations in educational practices.

Opting Out - A Strategic Tool for Enhanced Learning: A review that redefines “opting out” - i.e. learners actively leaving learning experiences - as a beneficial self-regulation strategy in instructional design, emphasising its role in improving learning efficiency and assessment accuracy.

The Continued Rise of Learning Experience Design (LXD) in Workforce Training: An examination of the shift from traditional instructional design to Learning Experience Design (LXD), focusing on personalised and engaging learner-centered approaches in workforce training and development.

Redefining Design Failure in Instructional Design Practice: A study that investigates the multifaceted nature of how we define failure in instructional design, emphasising its role in reflection and professional improvement.

AI & Computational Thinking in Education: A Systematic Integration A systematic review of how AI and Computational Thinking are being integrated into educational contexts, highlighting the instructional designs and learning outcomes associated with these technologies.

Empowering Teacher Agency with Hybrid Intelligence: An analysis of the impact of generative AI on teacher agency and the potential of hybrid intelligence to enhance teachers' roles in learning design.

AI-Driven Feedback: A study on the effectiveness of AI-driven feedback systems in improving the quality of teacher-created learning designs, exploring changes in teachers’ perceptions of AI’s usefulness and trustworthiness.

Let’s go! 🚀

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