Artificial intelligence as a teaching tool in university education DOI Creative Commons
Yuri Reina Marín, Omer Cruz,

Yecenia del Carmen Maicelo Rubio

et al.

Frontiers in Education, Journal Year: 2025, Volume and Issue: 10

Published: April 16, 2025

Artificial intelligence (AI) has become a key factor in higher education, revolutionizing both teaching methods and student learning. This study aimed to identify the perceptions of university students professors on use AI academic education. A descriptive with quantitative approach was conducted using deductive method Likert scale questionnaire. The results revealed predominantly low perception teaching, 71.5% 73.1% expressing skepticism about its application. Additionally, 59% 65.9% evaluated impact learning process unfavorably, indicating concerns effectiveness enhancing Ethical privacy considerations showed contrast, 84% displaying high confidence while 73.2% maintaining moderate trust. These findings highlight gap lack assessing AI, emphasizing urgent need for training programs, comprehensive policies, evaluation methodologies. Addressing these is crucial harnessing AI’s potential education preparing an increasingly digitized environment.

Language: Английский

Artificial intelligence as a teaching tool in university education DOI Creative Commons
Yuri Reina Marín, Omer Cruz,

Yecenia del Carmen Maicelo Rubio

et al.

Frontiers in Education, Journal Year: 2025, Volume and Issue: 10

Published: April 16, 2025

Artificial intelligence (AI) has become a key factor in higher education, revolutionizing both teaching methods and student learning. This study aimed to identify the perceptions of university students professors on use AI academic education. A descriptive with quantitative approach was conducted using deductive method Likert scale questionnaire. The results revealed predominantly low perception teaching, 71.5% 73.1% expressing skepticism about its application. Additionally, 59% 65.9% evaluated impact learning process unfavorably, indicating concerns effectiveness enhancing Ethical privacy considerations showed contrast, 84% displaying high confidence while 73.2% maintaining moderate trust. These findings highlight gap lack assessing AI, emphasizing urgent need for training programs, comprehensive policies, evaluation methodologies. Addressing these is crucial harnessing AI’s potential education preparing an increasingly digitized environment.

Language: Английский

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