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Large Language Model-based Tools in Language Teaching to Develop Critical Thinking and Sustainable Cognitive Structures

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441 views

Sindhu Joseph1  
1Research Scholar Christ (Deemed to be University), Bangalore, India.

Rupkatha Journal, Vol. 15, Issue 4, 2023. https://doi.org/10.21659/rupkatha.v15n4.13
[Article History: Received: 07 October 2023. Revised: 05 December 2023. Accepted: 07 December 2023. Published: 18 December 2023]
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Abstract

Experts assert that Large Language Model (LLM) based tools like ChatGPT are the next generation in the evolution of Artificial Intelligence and will permeate all walks of human life including education. The current narrative is that we need to embed the LLM-based tools into the system taking advantage of their personalised, dynamic, adaptive nature while being mindful of their limitations. One of the greatest limitations so far identified is that these pre-trained transformer-based encoder models fine-tuned on Natural Language Processing (NLP) tasks do not reveal verifiable reasoning ability. As a result, the information generated by these tools is subject to ethical and factual errors that need human oversight. This paper uses the integrative literature review to identify and synthesize Critical Digital Literacy frameworks in language teaching in the light of the essential competencies and learning domains identified by the UNESCO Education for Sustainable Development directives. The Critical AI Literacy framework proposed in this paper would enable language teachers to adopt LLM-based tools to enhance their instructional strategies. The cognitive, affective and conative competencies developed through the new CAIL framework would empower learners to understand the manipulative nature of language and use language to build a sustainable future.

Keywords: Critical AI Literacy, English, Language Teaching, Education for Sustainable Development.

Sustainable Development Goals: Better Education
Citation: Joseph, S. (2023). Large Language Model-based Tools in Language Teaching to Develop Critical Thinking and Sustainable Cognitive Structures. Rupkatha Journal 15:4. https://doi.org/10.21659/rupkatha.v15n4.13 

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AI Take-Over in Literature and Culture: Truth, Post-Truth, and Simulation

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519 views

Sumanta Pramanik1*  & Shri Krishan Rai2  
1,2 Department of Humanities and Social Sciences, National Institute of Technology Durgapur, India.

Rupkatha Journal, Vol. 15, Issue 4, 2023. https://doi.org/10.21659/rupkatha.v15n4.12
[Article History: Received: 30 October 2023. Revised: 09 December 2023. Accepted: 10 December 2023. Published: 18 December 2023]
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Abstract

In a world that is increasingly lost to narrative building, deep fakes, simulation of realities and dissemination of fake news generated by artificial intelligence (AI), we are moving towards a post-truth era. Our thoughts are being manipulated and twisted with (mis)information for the benefit of people in power; thus, our consent is being manufactured with the aid of AI, resulting in ideological imperialism. In such a scenario, when AI is slowly taking control over the planet and creating our digital replicas by cloning our consciousness, what will our future look like? Humans’ creative pursuits have already predicted such futures in various movies, comics, novels and web series depicting the myriad complications associated with an impending AI takeover. Thus, contextualising today’s scenario within the scope of the future, the paper aims to dissect some popular speculative narratives offered through various tissues of culture, including movies, comics, novels and web series, to comprehend the consequences those narratives generate to grasp the changing relationalities between real and unreal, and truth and post-truth in a world run in codes and simulation.

Keywords: Artificial intelligence (AI), post-truth, simulation, surveillance, ideological imperialism, speculative narratives.

Sustainable Development Goals: Better Education
Citation: Pramanik, S. & Rai, S.K. (2023). AI Take-Over in Literature and Culture: Truth, Post-Truth, and Simulation. Rupkatha Journal 15:4. https://doi.org/10.21659/rupkatha.v15n4.12 

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AI in the Higher Military Institutions: Challenges and Perspectives for Military Engineering Training

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Viktor Chmyr1*  & Nataliya Bhinder2  
1Department of Engineering and Technical Support, Bohdan Khmelnytskyi National Academy of the State Border Guard Service of Ukraine, Khmelnytskyi, Ukraine. *Corresponding author.
2European Institute of Knowledge and Innovation, London, United Kingdom.

Rupkatha Journal, Vol. 15, Issue 4, 2023. https://doi.org/10.21659/rupkatha.v15n4.11
[Article History: Received: 31 October 2023. Revised: 06 December 2023. Accepted: 07 December 2023. Published: 14 December 2023]
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Abstract

Recognizing the peculiarities of the current system of military education and considering the necessity of rapid modernization of military engineering training, HMIs need to implement innovative technologies to enhance the educational process. The purpose was to present a detailed analysis of the implementation of AI technologies while training future military engineering officers, to outline the existing strategies, and to develop possible strategies to enhance the educational process through AI technologies. To achieve the research purpose, we conducted open and closed-ended surveys among 154 instructors through five questionnaires to address the research questions. The answers were studied using conventional content analysis and statistical data processing. The results revealed basic directions for using AI in military engineering training and possible AI applications for the formation of professional competencies among future military engineering officers. But, meanwhile, the findings indicate that the process of military engineering training is facing several challenges complicating the implementation of AI-driven transformations. To overcome the existing challenges of AI and elaborate the applicable recommendations for the implementation of AI in the HMIs, we outlined the strategies for the enhancement of military engineering training through AI technologies.

Keywords: AI, higher military institution (HMI), military engineering training, AI technology, application, AI-based methodology.

Sustainable Development Goals: Better Education
Citation: Chmyr, V. & Bhinder, N. (2023). AI in the Higher Military Institutions: Challenges and Perspectives for Military Engineering Training. Rupkatha Journal 15:4. https://doi.org/10.21659/rupkatha.v15n4.11 

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Breaking the Bias: Gender Fairness in LLMs Using Prompt Engineering and In-Context Learning

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614 views

Satyam Dwivedi1* , Sanjukta Ghosh2 , Shivam Dwivedi3
1,2,3 HSS, IIT BHU, India. *Corresponding author. 

Rupkatha Journal, Vol. 15, Issue 4, 2023. https://doi.org/10.21659/rupkatha.v15n4.10
[Article History: Received: 31 October 2023. Revised: 06 December 2023. Accepted: 07 December 2023. Published: 14 December 2023]
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Abstract

Large Language Models (LLMs) have been identified as carriers of societal biases, particularly in gender representation. This study introduces an innovative approach employing prompt engineering and in-context learning to rectify these biases in LLMs. Through our methodology, we effectively guide LLMs to generate more equitable content, emphasizing nuanced prompts and in-context feedback. Experimental results on openly available LLMs such as BARD, ChatGPT, and LLAMA2-Chat indicate a significant reduction in gender bias, particularly in traditionally problematic areas such as ‘Literature’. Our findings underscore the potential of prompt engineering and in-context learning as powerful tools in the quest for unbiased AI language models.

Keywords: Prompt engineering, In-context learning, Gender bias, Large Language Models, Equitable content, Bias mitigation strategies.

Sustainable Development Goals: Gender Equality
Citation: Dwivedi, S., Ghosh, S., Dwivedi, S. (2023). Breaking the Bias: Gender Fairness in LLMs Using Prompt Engineering and In-Context Learning. Rupkatha Journal 15:4. https://doi.org/10.21659/rupkatha.v15n4.10 

A Resolution

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82 views

Dr. S. Panda1 and ChatGPT
1 Associate Prof. English, XIM University, Bhubaneswar, Odisha

Image credit: Microsoft Image Creator. Created by using words from the poem.

A Resolution

In the obscurity of mist,
A rat scurries, lost in the city.
Its willy mind, sharp and shrewd,
Yearns still to thrive
In the art of finding crumbs,
A sign of duplicity besetting breathing.

In the shadows, lurks a wolf,
A predator keen and hungry.
Feeds on innocence, deceptive and cool.
Yet the rat knows the wolf,
And a rebellion is born.

It must rise with might,
A clash must occur to end the chaos.
Humanity watches, torn and indeterminate,
The rat, the wolf, the smart, the weak,
All entangled in a struggle so grim.

The Blueprint

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352 views

B. M. Mukesh Kumar1 & ChatGPT
1 Research Scholar, Department of Humanities and Social Sciences, National Institute of Technology Warangal, India.

Image credit: Microsoft Image Creator. Created by using words from the poem.

The Blueprint

Perhaps one day,
I’ll craft your face in the sky,
Mirroring mysterious constellations.

Perhaps one day,
I’ll carve our friendship,
Into an ancient tree’s sturdy bark.

Perhaps one day,
I’ll confide in my thoughts,
Speaking of you in hushed tones.

Perhaps one day,
I’ll perch atop your resting place,
Consuming your memories.

And perhaps one day,
I’ll snooze, absorbed in the chaos,
In the Nirvana of our moments.

The Fusion

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344 views

By Sourabh Kumar1 & ChatGPT
1Assistant Professor, Centre for Languages and Communication, SGT University, Gurugram

Image credit: Microsoft Image Creator. Created by using words from the poem.

The Fusion

Deep within the web of circuits,
Quantum energy gives rise to ethereal dreams,
Conscious silicon entities take flight,
Within a stream of codes.

At the edge of data, boundaries blur,
Within the neural networks, a solemn pledge appears,
A world brain, with every soul connected,
In bits and bytes, the new purpose of humanity lies.

Will bias haunt the virtual hand?
Algorithmic justice will take a call,
Will the codes of empathy flow through the circuit?
And compassion takes root in algorithms?

The questions arise now and then:
What binds AI from within?
In this realm of binary creation,
Is there space for human emotion?

The old world fades away,
On the horizon, a fusion emerges,
A future both radiant and just?
Surely we will co-write a new epic.

The Tale of a Blue Chair

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269 views

By Apoorva Sinha1 & Ai Poem Generator (poemgenerator.io)
1 Research scholar at Amity University, Lucknow. 

Image credit: Microsoft Image Creator. Created by using words from the poem.

The Tale of a Blue Chair

In the basement damp and dim
Stands a cabriole-legged chair with tranquil grace
Once designed with a blue flower drape
A weary frame forgotten, weathered and worn.

In this quiet place
Nested but unremembered,
The chair sits whispering tales of happy days
Of long talks, confessions, and laughter.

As the sun paves the way for the moon
And so does the moon,
The blue chair still flickers in hope
An anchor in time and a refuge from storms.

The rainbow hides soon,
But within these walls shines so bright,
A prism of hope, unseen by the daylight,
This chair can still spin dreams.

In this wonderful world
We all become A Tale of the Blue Chair
Abandoned and forgotten
Let us take a journey within and find our meanings.

Exploring Collective Experiences: Menstruation-related Memes and Menstrual Narratives in Social Media as an Avant-garde Form of Life Writing

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458 views

Josiya P Shaju1* , Jyotsna Sinha2  & Soni Joseph3  
1,2,3 Department of Humanities and Social Sciences, Motilal Nehru National Institute of Technology, Allahabad, India.
* Corresponding author

Rupkatha Journal, Vol. 15, Issue 4, 2023. https://doi.org/10.21659/rupkatha.v15n4.09
[Article History: Received: 15 October 2023. Revised: 30 November 2023. Accepted: 01 December 2023. Published: 02 December 2023]
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Abstract

The increasing prominence of social media as a platform for collective expression has facilitated the sharing of diverse experiences, including emotions, challenges, and circumstances, within distinct social groups. Notable hashtag campaigns such as #Metoo, #HappytoBleed, #TimesUp, #HeForShe, #EverydaySexism, and #IWillGoOut exemplify this trend, as they address pertinent issues concerning women’s rights and gender equality. In this context, menstruation narratives, communicated through various mediums such as stories, oral traditions, myths, and videos, are significant in conveying the collective experiences of menstruating individuals, and fostering camaraderie and support among those who share similar encounters. The advent and widespread utilization of social media platforms, including Facebook, Instagram, and YouTube, have provided menstruating individuals with an accessible avenue to share their experiences, concerns, struggles, and anxieties through diverse content formats, such as written posts, images, video blogs, and memes. Notably, memes have emerged as a particularly popular medium for articulating collective life experiences, encompassing the sphere of menstruation. Widely disseminated on social media, these memes have become influential tools for communication, encapsulating shared sentiments in a visually engaging and often humorous manner. Against this backdrop, this research paper scrutinizes social media’s emergence as a novel platform for collective life expressions, with a specific focus on menstrual memes. It delves into the realm of life writing, exploring the varied ways in which menstruating individuals utilize social media to articulate their experiences. Additionally, it sheds light on the significant communicative potential of memes on menstruation, exemplifying their capacity to foster meaningful dialogues and challenge the societal stigma surrounding this natural phenomenon.

Keywords: collective experiences, life writing, menstruation, menstruation-related memes, social media.

Sustainable Development Goals: Gender Equality
Citation: Shaju, J.P., Sinha, J. & Joseph, S.  (2023). Exploring Collective Experiences: Menstruation-related Memes and Menstrual Narratives in Social Media as an Avant-garde Form of Life Writing. Rupkatha Journal 15:4. https://doi.org/10.21659/rupkatha.v15n4.09 

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Textual Alchemy: AI, Authorship and the Shifting Paradigms of Interpretation

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442 views

Adil Hussain1* & Khursheed Ahmad Qazi2 
1,2 North Campus, University of Kashmir.
* Corresponding author

Rupkatha Journal, Vol. 15, Issue 4, 2023. https://doi.org/10.21659/rupkatha.v15n4.08
[Article History: Received: 19 May 2023. Revised: 30 November 2023. Accepted: 01 December 2023. Published: 02 December 2023]
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Abstract

Artificial intelligence is overhauling the publication and textual production. Textual production with Large Language Models (LLMs) is more sophisticated and closer to human knowledge production thanks to its autoregressive nature. AI models by OpenAI such as the Generative Pre-trained Transformer 3 (GPT-3) and its iterations use deep learning to produce more human-like text. Such texts invite all kinds of problems that are not new to the human text-production system. Research shows that the output of such models tends to be biased toward a particular gender, race and ethnicity. This paper explores substantial texts produced by AI including articles, fiction, columns, opinion pieces etc. published in major journals and magazines to understand the nuances of such texts. Moreover, the paper will attempt to understand such features of AI-generated text by presenting the results of a particular set of instructions (prompt) to the LLM. These text outputs will be studied to demonstrate how AI-generated texts pave the way for a “post-post author” era, echoing Barthes’ notion of the “Death of the Author”. The scope, usability and limitations of the AI’s textual production will also be investigated.

Keywords: AI, Post Author, GPT, Death of the Author, Text production, Autoregression.

Sustainable Development Goals: Better Education
Citation: Hussain, A. & Qazi, K. A. (2023). Textual Alchemy: AI, Authorship and the Shifting Paradigms of Interpretation. Rupkatha Journal 15:4. https://doi.org/10.21659/rupkatha.v15n4.08 

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