Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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This study investigates how cognitive, affective, and behavioral variables related to artificial intelligence (AI) build AI self-efficacy among university students. Based on these variables, we identify three meaningful student groups, which can guide educational initiatives. We recruited 1465 undergraduate and graduate students from the United States, the United Kingdom, and Germany and measured their AI self-efficacy, AI literacy, interest in AI, attitudes towards AI, and AI use. Using a path model, we examine the correlations and paths among these variables. Results reveal that AI usage and positive AI attitudes significantly predict interest in AI, which in turn and together with AI...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence (AI) strongly influences our daily lives and work environments. To deal with the challenges as well as to pick up on the opportunities associated with AI, university students need to acquire a basic understanding of AI (so-called AI literacy). To design effective study programs that foster AI competencies, it is necessary to assess the state of students' AI literacy. While there already are some AI literacy tests available, many instruments focus on specific AI courses, rely primarily on self-assessment, or do not provide detailed psychometric information. This study aims to develop and validate an AI literacy test and to provide initial insights into the current...

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