AI-Assisted Self-Assessment of Essay Type Descriptive Answers

 

[Video recording of the live session]

Transcript for the "Essay Type Answer Writing | Error Analysis & AI-assisted Self-assessment | Academic Writing Workshop" by Merlin and organised by Chat GPT

Good afternoon, everyone, and welcome to another installment of our academic writing workshop series. These workshops have become a tradition, occurring at the close of each semester following our internal tests. It's a time when teachers meticulously review your answer scripts, pinpointing common errors for discussion. But beyond this, it's a chance for you to engage in a crucial aspect of academic growth: self-assessment.

Self-assessment involves more than just glancing over your work; it requires a deep dive into your writing, identifying both obvious mistakes and subtler nuances that often escape notice. Consider creating PDFs of your answer books, allowing for ongoing reflection and improvement, whether you're at home or in the hostel. While AI tools can assist in this process, it's essential to remember that they're just that—tools. Our ultimate goal is to maintain and enhance our own writing abilities, not to become overly reliant on technology.

As we transition into discussing the role of AI in our workshops, it's important to strike a balance. While AI offers valuable insights and can even serve as a personalized tutor, it's not without its limitations. Over-reliance on AI runs the risk of diminishing our own linguistic capabilities. Our workshops aim to harness the benefits of AI while ensuring that human judgment and creativity remain at the forefront.

In analyzing sample answers, we aim to bridge the gap between proficiency and excellence. By leveraging both AI insights and human discernment, we can identify areas for improvement and chart a course towards advanced levels of writing proficiency. Practical exercises are integral to this process, allowing you to apply feedback and refine your approach iteratively.

As we conclude today's workshop, I encourage you to continue honing your writing skills beyond these sessions. The journey towards academic excellence is ongoing, and your commitment to self-assessment and improvement will undoubtedly pay dividends in the long run. Thank you for your participation, and don't forget to complete the assigned activities.

The highlights of the session:

Mastering Essay Writing: Error Analysis & AI-powered Self-Assessment

This blog post summarizes an academic writing workshop focused on improving essay writing through error analysis and AI-assisted self-assessment.

Introduction

The workshop addresses a common challenge: the gap between internal assessments (where improvement is possible) and final exams (where it's not). It emphasizes the importance of strong writing skills and explores how AI tools can enhance self-assessment without diminishing human writing ability.

Challenges of Traditional Error Analysis

Personalized feedback can be time-consuming for teachers.

Replicating student answers with high-quality variations is difficult for humans.

AI as a Solution

Generative AI offers one-on-one tutoring through feedback suggestions.

AI excels at analyzing student writing and suggesting improvements.

Cautions and Best Practices

Overreliance on AI can hinder independent writing development.

Critical thinking skills remain essential, and AI should not replace them.

University exams typically require writing without AI assistance.

Benefits of AI-assisted Self-Assessment

Identifies areas for improvement (e.g., grammar, mechanics, clarity).

Elevates writing quality from B1/B2 to C1/C2 levels (CEFR framework).

Provides suggestions for stronger introductions, conclusions, and stances.

Workshop Activity

1. Analyze Past Errors: Review feedback from teachers on past exams.
2. Select an Answer: Choose an answer you wrote for a previous internal assessment.
3. AI Feedback: Upload a photocopy/PDF of your answer to a designated AI tool.
4. Prompt Selection: Clearly state you are a postgraduate student seeking a high academic level response.
5. Self-Assessment: Analyze the AI's suggestions and compare them to your original writing.
6. Continuous Improvement: Practice writing and self-assessment throughout the semester, aiming for excellence without AI dependence.

Conclusion

This workshop equips students with the tools and strategies to become self-sufficient, confident essay writers. By combining traditional error analysis with AI-powered feedback, students can elevate their writing skills and achieve academic success.

Cyberfeminism - AI and Gender Biases

Cyberfeminism: Artificial Intelligence and the Unconscious Biases

Cyberfeminism appeared in the 1980s and founded on the ideas post-humanist feminist thinker Donna Haraway expresses in her A Cyborg Manifesto. In this manifesto, she lays the groundwork for the concept of the internet being a revolutionary tool to overthrow patriarchy, destroy the existing gender binary and achieve feminist liberation. She sees the internet as a new neutral space women need to ally with and that needs to be shaped by women in a way that will allow them to overthrow the existing social order.

Cyberfeminism had grand ambitions for the internet; however, it failed to acknowledge that the internet does not necessarily represent a fresh start or a free space in which gender does not matter, but is a new space that is very much embedded in society, and that sexist, racist etc. assumptions are imported into the cyberspace. Online spaces and innovative technologies are human creations and therefore biased from their very creation. Nonetheless, although the internet and online technologies are an extension of society, replicating the same problems therein, and even if the platforms are somehow biased, it still represents a separate space for expression, which “negotiates the border” between our public and private lives (Harris, 2008, p.491). It presents opportunities for self-creation and reinvention of identity. This separate space, of course, also offers new opportunities for harassment, exacerbating certain types of behaviours because of the possibility for the perpetrator to hide behind the anonymity of the internet (Evans, 2015). All this leads us to the necessity of questioning the idea of space, safe space, and online versus offline identities and more importantly, to understanding the importance feminist activism online plays in shaping those safe spaces and identities. (Paula Ranzel)

Mia Consalvo defines cyberfeminism as:

1. a label for women—especially young women who might not even want to align with feminism's history—not just to consume new technologies but to actively participate in their making;
2. a critical engagement with new technologies and their entanglement with power structures and systemic oppression. (in "Cyberfeminism", Encyclopedia of New Media, SAGE Publications)

Bruce Grenville in The Uncanny: Experiments in Cyborg Culture mentions: "The dominant cyberfeminist perspective takes a utopian view of cyberspace and the Internet as a means of freedom from social constructs such as gender, sex difference and race. For instance, a description of the concept described it as a struggle to be aware of the impact of new technologies on the lives of women as well as the so-called insidious gendering of technoculture in everyday life.".

It has been proved in several researches that the unconscious biases are creeping in the coding of Artificial Intelligence also. Virtual world is nothing but mirror image of real world. The AI coders are also human beings. If these coders are unconsciously biased or are not made about their unconscious gender biases, the aritificial intelligence / machines / robots / algorithm made by them is bound to have similar biases. If this is not given serious consideration then the hope that people dreamt of, the world free of gender bias, will be lost, even in this digital era.

Here are some interesting observations made by these researchers:

1. Kirti Sharma: How to keep human bias out of AI?

Transcript

2. Robin Hauser: Can we protect AI from our biases?

Additional resources:

• Sarah Kamber - Cyberfeminism and Artificial Life - Routledge
• Kira Hall - Cyberfeminism - in Susan Herring edited 'Computer Mediated Communication'.
• Francesca Ferrando - 

  Is the post-human a post-woman? Cyborgs, robots, artificial intelligence and the futures of gender: a case study

• Josh Feast: 4 Ways to Address Gender Bias in AI
• Paula Ranzel: 

  How does online feminist activism offer the possibility for a truly intersectional feminist resistance?

• Carol Manton and Birgitte Aga: 

  Putting feminism into Artificial Intelligence

Why are We so Scared of Robots / AIs?

Why are we afraid of robots?

Why are we scared of Artificial Intelligence?

Even though robots and AI are products of human imagination & intelligence, the human creative imagination loves to tell stories where in we are warned against Robots / AIs. Why? Why our stories about robots and AI scare us? Is there some deep truths in these narratives? or are they useless apprehensions?

If we look at the stories told to us, we find that we were always warned or scared or told to be afraid of some monsters. The fear of wolves was always narrated to the sheep. The form of wolf keeps on changing. The wolves of the Aesop's fables turns into human-monsters in mythology. The great epics like Ramayana and Mahabharata scared us against crossing the 'Laxman-Rekha' or else be ready to face the Ravanas. The Kansas, the Duryodhanas, the Dushashanas - are remembered time and again so that we remain perpetually scared. In the industrial era, the machines run on electricity were monsters. In the digital era, robots run on artificial intelligence are here to scare us.

Why?

Is it so that the fear of monster strengthen and alerted against impending danger and so we survive today? Is there any direct correlation between fear and survival instinct? Does survival instinct strengthen with fear mechanics?

If so, we should keep on telling stories to be scared of, the stories of monsters. Let the form of monster keep on changing with the advancement in science and technology. Let us move away from the monster of the hell and face the monster of the laboratory. Let us tell the stories to scare us to find a way out.

After all, there is nothing more human than the will to survive.

Let us see these sci-fi short films on AI - Robots to scare ourselves.

 
1. Ghost Machine: The first one is about babysitter robot who becomes so obsessed of the child that murders the murder. Director: Kim GokCountry & year: South-Korea, 2016

2.  The iMOM: The second one is on the iMom - Mom robot. Dir. Ariel Martin

3. Anukul: The third is on Satyajit Ray's short story 'Anukul' (1976) - directed by Sujoy Ghosh