By Smith Boonchutima · 31 October 2026
Before teaching people to use AI, teach them to check
Five studies of students, online classes, lecturers and adults who use media every day show that the problem is not the tool itself. It is the skill of checking information, and how much learners are asked to carry at once.

Illustration generated with AI
Mint (a fictional character) teaches a first-year foundation course. This term the reports look much better: tidy language, quotations from thinkers, each with a book title and year. But when she opened the books cited, she could not find the quotations anywhere.
This happens in real classrooms. The five studies brought together here help explain why, and suggest that what needs teaching may not be how to use the tools.
An answer that looks credible may not exist
A study by Assoc. Prof. Dr Pavel Slutskiy (published in 2025) gave 240 Chulalongkorn undergraduates the same task: find out what a particular philosopher thought on a topic and support it with a quotation from his work, using any online source. About one student in five chose a chatbot as the main source.
One student in five went to a chatbot for an academic answer
Main source students used for the same task · 240 students
- Google57%
- Chatbot22%
- Wikipedia21%
Source: Slutskiy (2025), Manusya: Journal of Humanities · 240 students
Thirty-seven submissions included a quotation attributed to the philosopher, with the title of the work and the year, just like a real citation. Not one of the quotations appears in the work cited, and all 37 students were confident they had quoted the original. The problem is not only that the tool was wrong. It is that the answer arrived looking as if it had already been checked.
What causes stress is quantity, not difficulty
A study by Asst. Prof. Dr Teerada Chongkolrattanaporn (published in 2023) surveyed 803 first-year students during fully online teaching. The form of technology stress that stood clearly above the rest was the sense of too many tools and tasks arriving at once. The sense that the technology was hard to use was fairly low.
Too many tools is more stressful than hard tools
Mean technostress scores on four dimensions (out of 5) · first-year non-science students, 2020 academic year
Source: Chongkolrattanaporn (2023), PASAA · survey of 803 first-year students
Science students showed the same picture, with overload at 3.52 out of 5, above every other dimension. The remedy is therefore not more training in the tools, but fewer systems per programme and deadlines across courses that do not pile up together.
Quizzes help recall; applying knowledge comes from conversation
A study by Assoc. Prof. Dr Smith Boonchutima, Asst. Prof. Dr Teerada Chongkolrattanaporn and Dr Wassayut Kongjan (published in 2023) tried interactive media in an online master's course with 23 students. Mean scores rose from 6.77 to 8.20 after using the media, but repeating the same quiz added nothing and participation fell by about half. Students said the quizzes helped short-term memory, while applying the material to real work came from talking with the lecturer and classmates and getting direct feedback. They also asked for the slides as a plain PDF to annotate, even though a web presentation with videos was already provided.
Fluent use is not the same as discernment
A study by Dr Muhammad Ibtesam Mazahir and Yaseen (published in 2025) surveyed 500 adults in Pakistan who use media at least an hour a day. Only 41% could correctly identify biased or misleading news. Younger people handled digital tools more easily, but the interviews showed that many still could not tell which content was credible.
Daily media users, but under half could spot biased news
Share of respondents able to do each · 500 adults in Pakistan, March–April 2025
Source: Mazahir and Yaseen (2025), International Journal of Media and Information Literacy · survey of 500 people
A collection by Giray and colleagues (published in 2024), co-written by Dr Robbie Jan Vincent T. Buelo, brought together the reflections of eight lecturers and administrators in the Philippines in the first months after ChatGPT launched. All of them used AI in real work, but they also met fabricated references and students submitting AI-written work as their own. At the time, none of the four institutions had a full AI policy. The authors agreed that prohibition would not work, and proposed separating AI that helps polish language or manage references from AI that produces the answer.
Four points for teachers and trainers
Teach people to go back to the source
Have learners confirm every quotation and figure from AI against the original, and count the checking towards the grade. A book title and a year do not prove a quotation exists.
Say clearly which kinds of AI use are allowed
Separate help with language or citation formatting from having AI write the answer, and ask learners to say what they used, rather than banning everything.
Cut the number of tools before adding training
If learners are stressed by quantity, teaching more tools does not help. Use fewer systems and schedule deadlines across courses so they do not collide.
Use quizzes in moderation and add time to talk
Quizzes help recall, but repeats lose value fast. Open live discussion at regular intervals, because applying knowledge comes from debate and the teacher's feedback.
Reading this evidence with care
The chatbot study used one task at one university, collected when students were using ChatGPT 3.5; tools that search the web and attach links may behave differently, so the source split is a snapshot of that time. The technostress study was conducted during fully online teaching, which is not a normal condition. The interactive media study had a single group of 23 students, no comparison group, and the lead researcher taught the course. The Philippine study is eight authors' own reflections, not a survey. The Pakistan study covers only people using media at least an hour a day, and its urban–rural difference carries no test statistic.
Tools change fast; the habit of checking lasts
AI and online tools will change many more times. What repays a teacher's investment is the habit of going back to the source, being open about which tools were used, and organising learning so it does not bury learners under so much that they have no time to think.
If your institution or organisation is setting guidelines for AI in learning, the Center of Excellence in Communication Innovation at Chulalongkorn University's Faculty of Communication Arts would be glad to talk and share what we have learned.
Research cited in this article
- One student in five researched an academic question with a chatbot — and not one of the quotations it supplied exists →
- First-year students were not stressed because the technology was hard — they were stressed by how much of it arrived at once →
- Repeated quizzes in an online class do lift short-term recall, but each repeat loses students — and applying the material takes conversation, not testing →
- Eight Filipino instructors and administrators reflected on their own AI use: shared gains, shared worries about cheating, and no institution with a full policy →
- Among Pakistani adults who use media every day, only 41% could spot biased or misleading news — and education was the clearest correlate →
About this article
This article reflects the views of the author and does not necessarily reflect those of the Center.
The language of this article was refined and translated with the help of AI, and the author has reviewed it.
To cite this article
Boonchutima, S. (2026, October 31). Before teaching people to use AI, teach them to check. Center of Excellence in Communication Innovation, Faculty of Communication Arts, Chulalongkorn University. https://www.cominnocenter.com/en/insights/ai-learning-skills
