ChatGPT has embraced the academic circle and discovered a love for learning
In academic circles, there has been debate about whether students (and professors) should not use artificial intelligence. While some universities are reaping the benefits of ChatGPT, others are proudly banning it. The possibility of abuse, such as submitting AI-generated essays or code as one’s own, is a major concern.
The concern is that using AI would lower learning quality. Students would become lazy if they could take shortcuts to quick wins. Furthermore, administrators of universities would be held accountable for failing to prevent academic misconduct. There are also worries about AI stealing academic work.
In any case, one contention is missing here. Cheating in school is a multibillion-dollar business. Students have admitted to cheating by using education platforms that provide homework assistance and textbook answers. Additionally, there are numerous ghostwriting, contract fraud, and other services available.
Academics have unrealistic expectations that anti-plagiarism software and academic integrity policies will catch all plagiarism. When there are thousands of ways to cheat, banning AI won’t do much.
In addition, informal tests conducted by professors at American universities suggest that ChatGPT will probably only earn a C grade for a student. The tentative conclusion is that ChatGPT is not a great cheating tool because it requires some skill to produce precise, high-quality results, and even then, the results may contain errors.
The academic opposition to ChatGPT recalls the April 1988 protest by math teachers in Washington against the use of calculators. Calculators, on the other hand, did not make learning algebra and calculus unnecessary.
Microsoft Excel did not eliminate the need to understand matrices either. Instead, these tools made low-level, repetitive tasks easier to do, allowing us to think at a higher level and be more creative.
Three aspects of ChatGPT and AI, in general, necessitate a shift in academia’s perspective: how they conceptualize pedagogy and assessments, as well as how they see their role in education.
- The wisdom and awareness necessary to evaluate and interact with AI output can be provided by academia. Information co-creation with artificial intelligence can become what the scholarly world spotlights.
- With AI’s arrival, curriculum design must change. From coding a basic HTML website to writing a CEO’s speech in a crisis, AI can quickly produce numerous examples in any subject.
Correcting grammar and suggesting the right semantics (such as “do I say drink or take the medicine?”) are two ways AI can aid in learning. words, analogies, or even metaphors that are more culturally relevant in one nation than in another.
In addition, AI can quickly provide multiple versions of the same thing, which can aid in writing for various target audiences and improving clarity.
Role-playing can also benefit from AI.
- Academic assessments will need to change in response to AI. We can use individualized AI chatbots to sit students down for sessions and create knowledge repositories to complement lectures, readings, case studies, and tutorials. After a meeting, the chatbots can prescribe customized learning directions to plug the holes distinguished.
Math equations, concept sketches, and prototypes can also be graded with the assistance of visual recognition AI. AI can quickly and effectively evaluate a variety of teaching methods.
It will be harder to avoid as AI penetrates email systems (such as sentence completion or correction software) and software (such as Microsoft Office apps and AI integration into Bing, Google, and Baidu search engines).
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