In In late November 2022, ChatGpt was released as a free research preview. It reached 1 million users in just five days. This is a record of high-tech products from the time.
And ever since, ChatGpt and generative artificial intelligence have continued to change the world more widely. Fierce competition broke out between the countries, seeing who was going ahead, highlighted in the release of foreign-developed Deepseyk, known as the “Sputnik” moment.
Work outlook is not the only aspect of a degree being affected by higher education.
genai demonstrates its ability to solve mathematical problems and respond to case study questions designed to develop students' critical thinking. In a way, it replaced the idea that there was only one expert in the room. I'm a professor.
This happened when the university had AR.e reduces the value of costs from the student side and the contribution of industry side to innovation.
Given the growing demand for professional degrees (e.g., Masters of Science in Business Analysis) and the expansion of technical courses in fields such as applied analysis, we are fully aware that almost every student in the classroom is using Genai in some way.
The introduction of AI in the classroom led to the rise of “copy and paste” syndrome. With AI-written documents and slides, emojis and concepts and concepts of rockets and ideas are something that students themselves cannot explain without the generated script.
result? Limited understanding, surface-level learning, and even the possibility of embarrassment when questioned.
Another outcome is the demand and expectations for what is normally reserved for youth sports: participating trophies. Genai tends to provide overly positive feedback that can be misleading to students consistently think that their initial ideas are logical and sound, suppressing deeper questions and then preventing problem solving.
However, unclear university policies regarding its use, competitive educational environment, strict coursework deadlines, internships, and
Often, part-time students have other competing requests such as full-time jobs,
And family?
Plus, with the fact that “everyone else is doing it”, you have the perfect recipe for widespread adoption.
Negative results are realistic, but it is naive to assume that they are completely harmful. Students get meaningful benefits: access to advanced technical skills, collaboration tools or “artificial tutors” to tackle complex problems, support for conceptual understanding, alternative explanations, and empowering self-sufficiency.
These are good things. But the questions still remain.
In recent years, the World Economic Forum employment report, nearly 70% of employers surveyed identified “analytic thinking” as the number one core skill employees need. This is a by-product of technological advancements like AI. However, recent MIT research suggests that genai actually impairs our cognitive abilities. The researcher said, “…over-
Reliance on AI can erode critical thinking and problem-solving skills. Users may be good at using tools, but they cannot run tasks independently to the same standard. ”
The real question is, “Is what I'm teaching today related to tomorrow?”
It would be stupid to think that we can avoid AI completely, and such an approach would not set up students who will graduate into an AI-saturated world for success. Instead, you must learn how to accept it with thoughtfulness.
After all, if we truly see Genai as an innovation that drives industrial change and creates value, isn't it our responsibility to evolve alongside our responsibility as an educator?
This could lead to courses that focus on rapid engineering and optimization. It can also lead to building the skills needed to effectively interface with Genai to ask the right questions and promote the results of creating values.
But at the same time, we need to study and explain to students how large-scale language models (LLMs) work, so that users (students) understand their limitations.
In other words, we need to emphasize to our students that humans remain the ultimate decision maker, that choices bring results, require a rigorous assessment of data and information, and that genai is not a substitute for critical thinking, discipline, or deeper learning.
Alfonso Berumen is a decision science practitioner at Pepperdine University Graziadio Business School and an academic affiliate for Libra Analytics.
