In a number of investigations, artificial intelligence was analysed in the context of students.Among them are those in which the emphasis was on students' perceptions of AI, includingtheir attitudes, beliefs, and/or fears.
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- May 2026
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AI technology influenced the area of communication in the educational process, with a focuson providing adequate feedback to students (Chassignol et al., 2018). According toWongvorachan et al. (2022, p. 95), feedback represents „a crucial component of studentlearning“ that enhances the level of their understanding.
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The results obtained were followed by a discussion and conclusion sectionproviding their consideration from the aspect of previous research, the cultural context inwhich the research was conducted, and consequential recommendations.
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When it comes to content and teaching, the application of AI can contribute to itscustomisation. Taking into account the heterogeneity among students, a better understandingof their learning requirements is necessary and therefore the educational content to bepersonalised to their needs (Bhutoria, 2022).
The material that is taught in the classroom setting is very much generalized because it is for many different students who learn in different ways so sometimes students tend to reach for AI resources because they feel the need to customize and personalize their material.
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The potential benefits of personalised learning are numerous. Not only can its models reducestudent dropout rates and support the learning process, but they can also help to achievesustainable development goals (SDGs) presented by the UN General Assembly, such as thoserelated to ensuring equal quality education for all (SDG4) and reducing inequalities betweenonline and on-site approaches with special emphasis on students with disabilities (SDG 10)(Furini et al. 2022).
Can help be helpful in reaching equity for any and all students. Of course there are specific ways to use AI in a way that can be helpful in expanding the learning process rather than just making it easier.
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As an alternative to a traditional concept,personalised learning can be defined as an “approach in which teaching is customisedaccording to the needs and abilities of an individual student” (Magomadov, 2020, p. 1).
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Like in many other areas, artificial intelligence has been applied in education, which has beeninfluenced by various factors and changes over the last few decades. Financial pressures onuniversities associated with the increased number of students and larger staff and operatingcosts, partly caused by the democratisation of higher education, make the use of AItechnology very attractive
As the times have changed, the need to catch up to AI also has. Students are encouraged to use AI because it is implemented everywhere. Google had Gemini, there is ChatGPT, literally every other website uses some type of AI chat, desensitizing us to what AI can actually do and the effect that it actually has.
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At the same time, onecannot neglect the importance of student perceptions regarding it,
Depending on the perceptions of AI and how students view it then that will change whether or not students. For example, students who have a negative perception on AI are less likely to use than those who have a positive perception.
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The increased significance of artificial intelligence (AI) and the possibilities to implement itin higher education can be identified in contemporary conditions.
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