Intelligent design techniques towards implicit and explicit learning: a systematic review

Alqarni, Fatmah, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 and Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346 2023. Intelligent design techniques towards implicit and explicit learning: a systematic review. [Technical Report]. Cardiff: Cardiff University.

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Abstract

Artificial intelligence techniques are advancing in areas like health, cooking, education, and agriculture, aiming to educate users and enhance their knowledge. This survey reviews design tools and their features, introducing a classification of implicit and explicit features from user interactions. An analysis of 35 studies reveals the application of these techniques, detailing knowledge storage, interaction types, algorithms, and evaluation methods. Key findings include the potential of techniques for both implicit and explicit learning, a lack of detailed information in some implementations, and a highlighted need for tools that educate novice software engineers about privacy through design IoT applications.

Item Type:	Monograph (Technical Report)
Status:	Submitted
Schools:	Computer Science & Informatics
Publisher:	Cardiff University
Last Modified:	20 Nov 2023 12:00
URI:	https://orca.cardiff.ac.uk/id/eprint/163589

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