Exploring AI's Capabilities in Completing College Assignments

Table of Contents

1. Introduction
2. Using AI for University Assignments
3. testing AI on Different Subjects
   • 3.1 Singaporean Business Law
   • 3.2 Mathematics
   • 3.3 Ethics
   • 3.4 Statistics
   • 3.5 Coding
4. AI's Performance and Implications
5. Changes Needed in Coursework and Assessment
6. Conclusion

Article

Introduction

In this video, we will explore the capabilities of AI in completing university assignments. Specifically, we will be using OpenAI's ChatGPT3 to test its abilities in various subjects such as business law, ethics, mathematics, statistics, Python, and C programming. Each subject will involve both easy and complex questions to assess the AI's performance.

Using AI for University Assignments

The advancements in AI technology have raised the question of whether AI can replace humans in completing academic assignments. In this experiment, we aim to demonstrate the potential of AI in tackling university assignments, highlighting its strengths and limitations.

Testing AI on Different Subjects

3.1 Singaporean Business Law

First, let's delve into the subject of Singaporean business law. The initial question revolves around the concept of "tort of negligence" according to Singaporean business law. The AI provides an answer that includes the elements of duty of care, breach of duty, causation, and damage. While the answer seems satisfactory, a deeper analysis is required.

3.2 Mathematics

Next, we turn to the field of mathematics. We begin with a relatively easier question, asking the AI to explain the L'Hôpital's Rule. The AI provides the correct explanation, showcasing its understanding of mathematical concepts. Moving on to a more complex question, we test the AI's ability to solve an integration WORD problem. The AI presents an answer, but further verification is needed to ensure its accuracy.

3.3 Ethics

Ethical topics require deep moral, ethical, and legal implications. We start with a simpler question regarding the AI's opinion on euthanasia, also known as "swa-iccha Mrityu" in Hindi. The AI provides an answer, raising awareness of the controversial nature of the topic. For the harder question, we ask the AI to provide arguments, premises, rebuttals, counter-rebuttals, and a conclusion on the topic of slavery in a capitalistic society. The AI starts generating a credible response, highlighting the significance of human rights despite the prevalence of slavery.

3.4 Statistics

In the realm of statistics, the AI tackles the concept of hypothesis testing in response to the easier question. It explains the Notion, including the importance of the p-value. Shifting to a slightly complex problem, we test the AI's ability to handle a data simulation question and provide an R code solution. The AI generates the code, potentially saving significant time for students.

3.5 Coding

Lastly, we explore the capabilities of AI in coding tasks. Starting with an easier question in Python, we ask the AI to calculate the area of a triangle using the lengths of its sides. The AI employs Heron's formula and delivers the correct answer. For a more challenging task, we direct the AI to code a hotel management system in the C language. To our astonishment, the AI begins generating the code swiftly, highlighting its efficiency in completing complex programming assignments. However, we encounter a limit in character output, which suggests a potential constraint of the AI model.

AI's Performance and Implications

Based on our experiments, it is evident that AI, specifically ChatGPT3, can provide answers to a range of university assignment questions. While the AI's performance is impressive, it still requires modifications and verification for certain subjects and complex questions. The possibility of AI replacing human efforts in academic work raises questions about the future of job markets and the need for adapted coursework.

Changes Needed in Coursework and Assessment

Considering the potential capabilities of AI, it is crucial to adapt coursework and assessment methodologies. Technical subjects could benefit from incorporating AI to enhance efficiency, rather than engaging in a competitive relationship. However, for subjects such as business law and ethics that focus on critical thinking and writing skills, the form of assessment needs to evolve to ensure students' understanding and involvement.

Conclusion

In conclusion, our experiment showcases the remarkable capabilities of AI, as demonstrated by OpenAI's ChatGPT3, in tackling university assignments. While modifications and verifications are necessary, there is a need to consider changes in coursework and assessment methodologies to effectively integrate AI into the education system. It is essential to explore how AI can complement human efforts and foster a progressive learning environment.

Highlights

• Exploring the potential of AI in completing university assignments
• Testing OpenAI's ChatGPT3 on various subjects
• AI's performance in Singaporean business law, mathematics, ethics, statistics, and coding
• Implications of AI in academic work and job markets
• Adapting coursework and assessment methodologies to incorporate AI efficiently

FAQ

Q: Can AI completely replace human efforts in completing university assignments? A: AI shows promising capabilities but still requires modifications and verification for certain subjects and complex questions.

Q: What are the implications of AI in academic work? A: AI has the potential to change the job market and requires adapting coursework and assessment methodologies.

Q: How can AI be effectively integrated into the education system? A: Changes in coursework and assessment methodologies need to consider how AI can complement human efforts and foster a progressive learning environment.

Resources:

• OpenAI's ChatGPT3 (https://openai.com/research/chatgpt)