Machine Learning and Students'Digital Skills – A Perspective on Integrating AI into Education

The rapid expansion of Artificial Intelligence (AI) and Machine Learning (ML) technologies is reshaping higher education, creating new expectations for digital competence and employability. This study explores university students’ perceptions of AI integration into education and its perceived impact on their career development. Data were collected through an online survey administered to students from several universities in Western Romania, focusing on three key dimensions: awareness of AI concepts, understanding of ethical implications, and readiness for AI-driven workplaces. The findings reveal a predominantly positive attitude toward AI and ML, with most respondents acknowledging their transformative potential in enhancing learning efficiency, creativity, and professional growth. Over 85% of students agree that AI literacy and basic ML knowledge should be integrated into academic curricula across disciplines. However, the results also highlight a gap in students’ understanding of ethical and moral aspects related to AI applications, such as data privacy, bias, and algorithmic accountability. The study underscores the need for higher education institutions to promote both technical and ethical AI literacy, combining computational thinking with digital responsibility. By aligning educational practices with the evolving demands of the labour market, universities can better prepare students for careers in a data-driven and automated society.

Artificial Intelligence, Machine Learning, Education, Digital Competence

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