Consumer View for AI in Learning: Expectations of Generation Z
Chubareva, Taisiia (2023)
2023
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023120835394
https://urn.fi/URN:NBN:fi:amk-2023120835394
Tiivistelmä
Artificial intelligence is a rapidly growing issue that is becoming more and more popular nowadays. AI has been recently affecting various fields of education and changing the ways in which students are being taught. To make sure that AI implementation goes as smoothly as possible, it is crucial to examine how students perceive these changes and what their opinions about this phenomenon are.
This research aimed to provide a better understanding of artificial intelligence and evaluate the potential benefits and drawbacks of its increased use in education. In addition, the study aimed to identify ways in which AI could improve learning experiences and examine Generation Z’s opinions about AI in education and its future.
To achieve the research objectives and collect data, qualitative research method was used. Hence, 2 semi-structured interviews were conducted with a total of 10 participants. Moreover, the knowledge base on the existing literature was created.
The selected research method allowed to collect important information about the current role of artificial intelligence in education and its future from students’ perspective. Valuable insights were gained about students’ perception of how AI can enhance learning experiences for both students and teachers, and what key elements an optimal AI-supported learning system should have.
This research aimed to provide a better understanding of artificial intelligence and evaluate the potential benefits and drawbacks of its increased use in education. In addition, the study aimed to identify ways in which AI could improve learning experiences and examine Generation Z’s opinions about AI in education and its future.
To achieve the research objectives and collect data, qualitative research method was used. Hence, 2 semi-structured interviews were conducted with a total of 10 participants. Moreover, the knowledge base on the existing literature was created.
The selected research method allowed to collect important information about the current role of artificial intelligence in education and its future from students’ perspective. Valuable insights were gained about students’ perception of how AI can enhance learning experiences for both students and teachers, and what key elements an optimal AI-supported learning system should have.