How will academicians deal with AI based assignment submitted by their students?

17 December 2022 6 8K Report

Artificial Intelligence (AI) has been one of the greatest innovation over the world. Recently, I have experienced the chat function of AI. It can perform most of the tasks that one assigns. For example, write a column for some of the newspapers, write essays, perform the review of literature, answers to most of the assignments that a faculty can design using their creativity and similar. I've checked if it could answer some of the extremely complicated mathematical and technical algorithms that it didn't answer but I can guess that it will soon learn and update that too.

Considering this level of innovation and growth of the AI, how will faculties develop the assignments and/or how will they evaluate? Once all are familiar with this, I don't see any meaning of assigning weights for assignments as a component of evaluation. I did 20 different trials to check if it gives the same answer but it's a big NO! The AI is very creative and in all answers, the similarity index is less than 10% that was checked through turnitin platform.

I look forward to your thoughts and discussing over it.

Thanks,

Hari

Please also see this

https://www.cnbc.com/2022/12/13/chatgpt-is-a-new-ai-chatbot-that-can-answer-questions-and-write-essays.html

Sarvar Umirov

Thank you for the question. I have also been thinking about it lately. Truth be told, no one really knows.

An assessment might change to a different form or mode which we need to think about. One thing is clear it is impossible to give make the writing part of the assessment as AI can create the answers and no point in grading the students based on what AI created.

I have tried to ask the same question from AI, the answers are below:

a) "As AI technology becomes increasingly advanced, academicians are faced with the unique challenge of assessing assignments submitted by their students that were created using AI. While this presents a unique challenge, there are a few ways that academicians can approach assessing these assignments. Firstly, they must assess the content for accuracy and originality. AI is capable of creating impressive and accurate content, but it isn't perfect and can't always be relied upon to create truly original content. Secondly, they must assess the creativity and thoughtfulness of the content. AI can help generate ideas, but it is not yet capable of putting together a well-thought-out and creative assignment. Finally, they must assess the student's knowledge and understanding of the material. AI can compile information, but it can't demonstrate a student's understanding of the material. By taking all these factors into account, academicians can fairly and accurately assess AI-generated assignments."

b) As academicians are faced with increasing numbers of AI-based assignments being submitted by students, it's important to consider how best to assess these assignments. It's not just about ensuring accuracy and fairness in grading, but also about ensuring that the students are actually engaging with the material. AI-based assignments can be automated and can even be completed by a computer, making it difficult to determine if the student has actually put any effort into the assignment. To address this, academicians should take a few key steps. First, they should make sure that the assignment has a human-readable component to it. This could include a written summary or an explanation of the AI's process. This will help to ensure that the student is engaging with the material. Additionally, academicians should use AI-based assessment tools to get a better understanding of the student's level of understanding. This will allow them to better assess the student's work and ensure that they are not relying on the AI to do their work for them. With the right approach, academicians can effectively assess AI-based assignments and ensure that students are truly engaging with the material.

c) As AI-based tools become more widely used in the classroom, academicians are faced with a new challenge: how to assess AI-based assignments submitted by their students. AI can help students to generate unique, creative solutions to problems, but it also poses questions about how these solutions should be assessed. It's important for academicians to be prepared to handle this new type of assignment. They should take the time to learn about the AI tools available and how they can be used in the classroom. This can help them to better understand the solutions that their students are submitting. Additionally, they should ensure that they are up to date on the latest AI-based assessment tools and techniques. Finally, academicians must make sure that they are evaluating AI-based assignments on the same criteria as other assignments. They must also be open to new ideas and approaches to assessment in order to get the most out of AI-based assignments. With the right preparation and knowledge, academicians can deal with AI-based assignment submissions from their students."

Muinuddin Bashar Aronno

It is important for academicians to consider the role of the student in the production of the AI-based assignment. If the student was responsible for designing and training the AI model, academicians can evaluate the student's understanding of the underlying concepts and their ability to apply them in a practical setting. If the student was responsible for using an existing AI model to generate the work, academicians can evaluate the student's ability to interpret and analyze the results and use them in a meaningful way.

Sindhu Almas Khowaja

Academicians may approach AI-based assignments submitted by their students in a number of ways. Here are a few potential approaches:

Evaluate the assignment based on the quality of the AI model used: This approach would involve evaluating the assignment based on factors such as the accuracy and effectiveness of the AI model, the complexity of the problem being addressed, and the creativity of the approach taken.

Evaluate the assignment based on the student's understanding of AI: This approach would involve assessing the student's understanding of the concepts and techniques used in the AI model, as well as their ability to explain and defend their approach.

Use the assignment as an opportunity to teach students about AI: Depending on the level of the course, the assignment could be used as an opportunity for the student to learn about AI concepts and techniques. The academicians could provide feedback on the student's understanding and progress, and suggest areas for improvement or further exploration.

Collaborate with the student on the assignment: Depending on the level of the course and the complexity of the assignment, academicians may choose to work with the student to develop and improve the AI model. This could involve providing guidance and feedback on the student's approach, as well as helping them to understand and apply AI concepts and techniques.

Ultimately, the approach that an academicians takes to evaluating an AI-based assignment will depend on the specific course and the goals of the assignment.

Hari Gopal Risal

Thank you Sarvar Umirov We are thinking the same. I like your response along with the answer from AI. Thank you Muinuddin Bashar Aronno Sindhu Almas Khowaja for your great advice to consider.

I hope to get more responses as this ChatGPT continues learning.

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