Publicação
The impact of AI-based learning on academic performance
| dc.contributor.author | Cunha, Maria Nascimento | |
| dc.contributor.author | Esteves, Maria Leonor dos Santos | |
| dc.contributor.author | Matos, Mariana Lopes de Sá | |
| dc.contributor.author | Martins, Patricia Silva | |
| dc.date.accessioned | 2026-07-03T16:24:28Z | |
| dc.date.available | 2026-07-03T16:24:28Z | |
| dc.date.issued | 2026-01-01 | |
| dc.description.abstract | This study compellingly demonstrates the effectiveness of AI-driven personalised learning algorithms in boosting academic performance among secondary school students in Portugal. Using a rigorous quasi-experimental, non-randomised two-shot pre-test and post-test design, we engaged sixty 10th-grade students divided into two distinct groups. The experimental group experienced AI-assisted instruction through innovative platforms, including Brisk Teaching, Khanmigo, ChatGPT 4.0 Turbo, and Quizizz AI, while the control group adhered to traditional teaching methods. Both groups participated in identical pre-tests and post-tests for two essential units: Energy in the Ecosystem and Heredity and Variation.Robust statistical analyses, including paired and independent samples t-tests, revealed significantly greater learning gains in the AI-driven group compared to the control group. Moreover, we assessed the influence of key factors, including student engagement, prior knowledge, and learning preferences, using validated Likert-scale questionnaires. The results clearly indicated a strong positive correlation between AI-driven learning and enhanced student motivation and comprehension. These findings strongly support the use of AI-based personalised instruction as an effective strategy for enhancing learning outcomes in STEM education, particularly in diverse classroom settings. | eng |
| dc.identifier.doi | 10.56294/ai2026395 | |
| dc.identifier.other | d59cdfb1-dd08-4ed1-822c-4fe84a59c8d2 | |
| dc.identifier.uri | http://hdl.handle.net/10400.14/58471 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | AI-driven learning | eng |
| dc.subject | Personalised learning algorithms | eng |
| dc.subject | Secondary education | eng |
| dc.subject | STEM education | eng |
| dc.title | The impact of AI-based learning on academic performance | |
| dc.type | research article | |
| dspace.entity.type | Publication | |
| oaire.citation.volume | 5 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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