Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Large language models (LLMs) that power chatbots such as ChatGPT have capabilities across numerous domains. Teachers and students have been increasingly using chatbots in science, technology, engineering, and mathematics (STEM) subjects in various ways, including for assessment purposes. However, there has been a lack of systematic investigation into LLMs’ capabilities and limitations in automatically generating items for STEM subject assessments, especially given that LLMs can hallucinate and may risk promoting misconceptions and hindering conceptual understanding. To address this, we systematically investigated LLMs' conceptual understanding and quality of working in generating question...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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Given the rapid integration of generative artificial intelligence (GenAI) technologies, such as large language models, into educational contexts, fostering students’ GenAI literacy has become essential. However, previous AI literacy frameworks may inadequately reflect specific competencies necessary for proficient GenAI use. To address this gap, this study aimed to conceptualise a GenAI specific literacy framework tailored explicitly for educational settings and systematically examine recent research trends concerning GenAI literacy. Employing a systematic literature review approach, 51 empirical studies published in 2023 and 2024 were selected and analysed based on five identified...

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