AI in Education
AI in Education
Introduction and background:
As AI continues to advance and develop, the more that it is
going to be used in people’s everyday lives and use it to their advantage. As AI
continues to advance it is being used in the education system a lot as time
goes on and both teachers and students use it to this day, when planning notes,
activities, message ideas, to you name it. Research has showed that students
are slowly drifting towards this and (Remus et al.,2026) found that although students
were skeptical about AI at first, they “accepted AI as part of their learning
environment,” which shows how fast AI becomes normalized in schools.
Potential Benefits:
Benefits of AI can be that it will offer both students and
teachers help with lesson planning or simple note taking. It helps teachers
especially with lesson planning, making group activities, and making
instructions. In veterinary, (de Brito et al.,2025) has stated that instructors
have used AI tools to “generate teaching materials and improve instructional
efficiency,” with this, it shows how AI can help reduce workload and spark more
creativity in course design. Students can get uses from AI but create study
notes, summaries, and help with explanations. Instead of reading a dense hundred-page
textbook, students and teachers can use AI to help them pinpoint key
information. AI also has some helpful tools that support disabled individuals
by offering text-to-speech and translations for foreign speakers.
Legal and ethical issues:
Even though AI can be beneficial, it can break some legal
and ethical issues in companies and education. When you use AI and claim the
work as your own, it breaks honor code and you will get in trouble for that. (Auwal
2025) highlights that education establishments need to establish “clear ethical
boundaries” to make sure that students are using AI fairly. As a student, you
need to do the work on your own and submit your own work to your classes. Misusing
and breaking these rules can have people not trusting you and can affect your
job finding in the future. Because of this risk, many establishments are now
teaching students how to use AI responsibly and appropriately.
Security and social concerns:
AI introduces security concerns as well as social concerns.
Some AI tools will ask you for your information and that can raise a lot of
suspicion about your data and its privacy and where it will be stored. AI can
be seen invading privacy and security. Additional concerns are about students’
creative thinking skills. Messner (2025) warns that using AI too much instead
of creating your own ideas can “weaken out ability to generate original ideas.”
stating that a student’s dependency on AI will limit a student’s success.
Conclusion/future research:
While AI can have the ability to improve in some education
fields, it's up to the person who is using it to use it responsibly. Using AI
responsibly requires an individual to have awareness, discipline, and guidance.
With AI being more commonly used, the more likely it will develop bad habits
such as academic dishonesty. Instead of removing AI from education overall,
teachers should teach students how to use it effectively and ethically. With emphasis
on its limitations, verification about information being given, and most
importantly protecting your personal data. For future research should be on how
AI can help students grow in education with also following and upholding academic
integrity.
Reference Page
Remus, R., Runcan, P. L., Rad, D., & Lucian, M. (2026).
Exploring Students’ Attitudes Toward the Integration of Artificial Intelligence
in Education. Societies, 16(1), 21. https://doi.org/10.3390/soc16010021Links
to an external site.
de Brito, C., Redondo, J. I., Tadeo-Cervera, I., Bataller,
E., García-Roselló, M., Inmaculada, C. M., & Terrado, J. (2025).
Integrating artificial intelligence into veterinary education: student
perspectives. Frontiers in Veterinary Science, 12,
1641685. https://doi.org/10.3389/fvets.2025.1641685Links to an external
site.
Auwal, A. M. (2025). Autonomy versus algorithm: A
replication study of student perspectives on AI ethical boundaries: Revista de
universidad y sociedad del conocimiento. International Journal of
Educational Technology in Higher Education, 22(1), 72.
doi:https://doi.org/10.1186/s41239-025-00570-w
Messner, W. (2025, Jul 01). Would outsourcing everything to
AI cost us our ability to think for ourselves? Live Science http://mutex.gmu.edu/login?url=https://www.proquest.com/newspapers/would-outsourcing-everything-ai-cost-us-our/docview/3225775756/se-2
Future-proofing workforce with AI-driven analytics. (2025,
May 11). Oil & Gas News http://mutex.gmu.edu/login?url=https://www.proquest.com/newspapers/future-proofing-workforce-with-ai-driven/docview/3202540393/se-2
Comments
Post a Comment