TY - GEN
T1 - Exploring Students' Familiarity, Usage Patterns, and Perceptions of Generative AI Tools in Education
AU - Epaminonda, Epaminondas
AU - Ktorifou, Despo
AU - Michailidis, Maria
AU - Efthymiou, Leonidas
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This study explores students' familiarity, usage patterns, and perceptions of Generative AI (GenAI) tools, focusing on their potential applications in education. Using a structured questionnaire, data were collected from 167 respondents to assess familiarity with AI, GenAI, and specific interfaces such as ChatGPT, Dall-E and Google Gemini. Findings indicate that while most respondents are somewhat familiar with AI and GenAI, familiarity with specific tools varies significantly, with ChatGPT being the most recognized and used. Text-based tools dominate usage, primarily for tasks like explaining concepts, summarizing content, and translation. Challenges encountered include issues with accuracy, ease of use, and instruction specificity. Despite these challenges, respondents identify personalized learning resources, automated grading systems, and virtual tutors as the most valuable educational applications. The study highlights the transformative potential of GenAI in education while underscoring the need for improved tool design and expanded training to optimize its adoption.
AB - This study explores students' familiarity, usage patterns, and perceptions of Generative AI (GenAI) tools, focusing on their potential applications in education. Using a structured questionnaire, data were collected from 167 respondents to assess familiarity with AI, GenAI, and specific interfaces such as ChatGPT, Dall-E and Google Gemini. Findings indicate that while most respondents are somewhat familiar with AI and GenAI, familiarity with specific tools varies significantly, with ChatGPT being the most recognized and used. Text-based tools dominate usage, primarily for tasks like explaining concepts, summarizing content, and translation. Challenges encountered include issues with accuracy, ease of use, and instruction specificity. Despite these challenges, respondents identify personalized learning resources, automated grading systems, and virtual tutors as the most valuable educational applications. The study highlights the transformative potential of GenAI in education while underscoring the need for improved tool design and expanded training to optimize its adoption.
KW - AI tools usage patterns
KW - artificial intelligence
KW - generative AI
KW - personalized learning
KW - student perceptions
KW - tertiary education
UR - https://www.scopus.com/pages/publications/105008217133
U2 - 10.1109/EDUCON62633.2025.11016320
DO - 10.1109/EDUCON62633.2025.11016320
M3 - Conference contribution
AN - SCOPUS:105008217133
T3 - IEEE Global Engineering Education Conference, EDUCON
BT - EDUCON 2025 - IEEE Global Engineering Education Conference, Proceedings
PB - IEEE Computer Society
T2 - 16th IEEE Global Engineering Education Conference, EDUCON 2025
Y2 - 22 April 2025 through 25 April 2025
ER -