Publication
Artificial intelligence in problem-based learning in higher education: A scoping review
| dc.contributor.author | Alexandrino, Ana | |
| dc.contributor.author | Cunha, Christine | |
| dc.contributor.author | Lima, Teresa | |
| dc.contributor.author | Alexandrino, Ana Silva | |
| dc.contributor.author | Cunha, Christine | |
| dc.date.accessioned | 2025-11-11T17:39:18Z | |
| dc.date.available | 2025-11-11T17:39:18Z | |
| dc.date.issued | 2025-07 | |
| dc.description.abstract | The rapid evolution of technology calls for continuous pedagogical innovation in higher education, with active approaches like Problem-Based Learning (PBL) fostering critical thinking and collaboration. Artificial Intelligence (AI) shows strong potential to enhance PBL, yet there is a clear need for comprehensive research on its integration within higher education (HE) curricula. This study aims to map the scope of existing evidence on the use of AI in PBL contexts for higher education students. The eligibility criteria follow the PCC framework: Population: Higher education students; Concept: Use of Artificial Intelligence; Context: Problem-Based Learning. Methodology: Following the Joanna Briggs Institute methodology and reporting according to PRISMA-ScR guidelines, this scoping review addresses the main research question: What is the scope of existing evidence on the use of AI in PBL for higher education students? The sub-questions are: 1. What types of AI tools and systems are used and how are they pedagogically integrated into PBL approaches for HE students? 2. What are the identified benefits and challenges in using AI in PBL contexts for HE students? 3. What are the identified research gaps regarding the use of AI in PBL for HE students? A systematic search will be conducted in electronic databases such as Scopus, Web of Science, ERIC, and ScienceDirect, including studies published between 2015 and 2025, available in English or Portuguese. Study selection will be done by two independent reviewers. Results will be synthesized narratively, grouping findings thematically. This review expects to identify AI tools applied in PBL, pedagogical strategies, benefits, challenges, and gaps in the literature, offering evidence-based insights for pedagogical practice, and guide future research in this emerging domain. | por |
| dc.identifier.citation | Alexandrino, A., Cunha, C., & Lima, T. (2025). Artificial intelligence in problem-based learning in higher education: A scoping review. Porto Pedagogical Innovation Conference - P.PIC 2025, 75. https://cip.ipp.pt/ppic2025/book-of-abstracts/assets/ppic25-boa.pdf | |
| dc.identifier.isbn | 978-972-8969-95-0 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/30841 | |
| dc.language.iso | eng | |
| dc.peerreviewed | n/a | |
| dc.publisher | P.Porto | |
| dc.relation.hasversion | https://cip.ipp.pt/ppic2025/book-of-abstracts/assets/ppic25-boa.pdf | |
| dc.rights.uri | N/A | |
| dc.title | Artificial intelligence in problem-based learning in higher education: A scoping review | por |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2025-07 | |
| oaire.citation.conferencePlace | Porto | |
| oaire.citation.startPage | 75 | |
| oaire.citation.title | Porto Pedagogical Innovation Conference - P.PIC 2025 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Alexandrino | |
| person.familyName | Cunha | |
| person.givenName | Ana Silva | |
| person.givenName | Christine | |
| person.identifier.ciencia-id | E213-85E6-716F | |
| person.identifier.orcid | 0000-0001-8146-6950 | |
| person.identifier.orcid | 0000-0002-0438-9952 | |
| person.identifier.scopus-author-id | 57110502100 | |
| relation.isAuthorOfPublication | 1a3a8a6c-815d-49b0-bd3b-6db516fafd25 | |
| relation.isAuthorOfPublication | f363a745-9bce-4d76-a568-b156545e2e40 | |
| relation.isAuthorOfPublication.latestForDiscovery | 1a3a8a6c-815d-49b0-bd3b-6db516fafd25 |