Titolo Rivista EDUCATION SCIENCES AND SOCIETY
Autori/Curatori Dario Lombardi, Luigi Traetta, Antonio Maffei, Primož Podžaj
Anno di pubblicazione 2025 Fascicolo 2024/2
Lingua Inglese Numero pagine 19 P. 185-203 Dimensione file 0 KB
DOI 10.3280/ess2-2024oa18462
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This systematic review examines 39 studies to identify Teaching and Learning Activities (TLAs) and Assessment Tasks (ATs) aligned with Bloom’s Taxonomy, highlighting their role in fostering critical thinking and creativity. TLAs such as simulations, problem-solving, and gamification, combined with peer assessments and formative feedback, support higher-order cognitive skills. However, the review reveals a critical gap in integrating AI into these frameworks, despite AI’s potential to personalize learning and enhance assessments. This absence limits the development of adaptive learning environments that meet individual needs. Future research should prioritize AI-driven tools to create flexible and personalized educational pathways. Integrating AI into education is essential to promote higher-order thinking, improve instructional design, and address contemporary learning demands. By leveraging data-driven insights, AI could transform teaching practices and enhance student outcomes.
This systematic review examines 39 studies to identify Teaching and Learning Activities (TLAs) and Assessment Tasks (ATs) aligned with Bloom’s Taxonomy, highlighting their role in fostering critical thinking and creativity. TLAs such as simulations, problem-solving, and gamification, combined with peer assessments and formative feedback, support higher-order cognitive skills. However, the review reveals a critical gap in integrating AI into these frameworks, despite AI’s potential to personalize learning and enhance assessments. This absence limits the development of adaptive learning environments that meet individual needs. Future research should prioritize AI-driven tools to create flexible and personalized educational pathways. Integrating AI into education is essential to promote higher-order thinking, improve instructional design, and address contemporary learning demands. By leveraging data-driven insights, AI could transform teaching practices and enhance student outcomes.
Parole chiave:; Artificial intelligence in education; Teaching and Learning Activities (TLAs); Assessment Tasks (ATs); Bloom's Taxonomy; Personalized Learning; Adaptive Learning Environments
Dario Lombardi, Luigi Traetta, Antonio Maffei, Primož Podžaj, Evolving Educational Horizons: Integrating AI with Innovative Teaching and Assessment Strategies in "EDUCATION SCIENCES AND SOCIETY" 2/2024, pp 185-203, DOI: 10.3280/ess2-2024oa18462