Details

Autor(en) / Beteiligte

• Delcker, Jan
• Heil, Joana
• Ifenthaler, Dirk
• Seufert, Sabine
• Spirgi, Lukas

Titel

First-year students AI-competence as a predictor for intended and de facto use of AI-tools for supporting learning processes in higher education

Ist Teil von

• International Journal of Educational Technology in Higher Education, 2024-12, Vol.21 (1), p.18-13, Article 18

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2024

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• The influence of Artificial Intelligence on higher education is increasing. As important drivers for student retention and learning success, generative AI-tools like translators, paraphrasers and most lately chatbots can support students in their learning processes. The perceptions and expectations of first-years students related to AI-tools have not yet been researched in-depth. The same can be stated about necessary requirements and skills for the purposeful use of AI-tools. The research work examines the relationship between first-year students’ knowledge, skills and attitudes and their use of AI-tools for their learning processes. Analysing the data of 634 first-year students revealed that attitudes towards AI significantly explains the intended use of AI tools. Additionally, the perceived benefits of AI-technology are predictors for students’ perception of AI-robots as cooperation partners for humans. Educators in higher education must facilitate students’ AI competencies and integrate AI-tools into instructional designs. As a result, students learning processes will be improved.