Year: 2025
Type: article
Study design: Systematic Review
Abstract: Recommending learning objects is an important strategy for teaching the technology area. Personalized recommendation for students is not a trivial task and requires analysis of the themes explored and the types of objects suggested. This research investigated the work on recommending learning objects in terms of audio, video typing and other related types that contribute to supporting the teaching of Computing courses in Brazil. The research analyzes the teaching-learning processes developed, the information filtering techniques used, the tools in the area, other research topics covered, the content made available and the existing repositories of learning objects within the scope of Computing teaching in the Brazilian scenario. This work describes initiatives and approaches aimed at teaching and how recommendations for these types of learning objects can impact the national scenario.
Institutions: Instituto Federal do Maranhão, Universidade Federal do Piauí
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4414426417
FWCI:
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