This blog captures my experience at the five-day National Workshop on Academic Writing organised by the Department of English, MKBU under KCG, Government of Gujarat. The workshop featured expert-led sessions on research methods, academic writing, ethical use of AI, publication practices, and career guidance. Through interactive discussions and practical insights, it deepened my understanding of academic work and enhanced my critical perspective, making it a truly enriching learning experience.
Video: Inaugural Ceremony | National Workshop on Academic Writing | English - MKBU | 27 Jan 2026
The Department of English at Maharaja Krishnakumarsinhji Bhavnagar University (MKBU), in collaboration with the Knowledge Consortium of Gujarat (KCG), Government of Gujarat, organised a National Workshop on Academic Writing. The inaugural session witnessed the presence of university officials, distinguished resource persons, faculty members, research scholars, and students. The programme was effectively anchored by Prakruti Bhatt, Research Scholar and Visiting Faculty in the Department of English.
The event began with a formal welcome, followed by the University Song and a prayer. Upholding the tradition of honouring knowledge, the dignitaries were welcomed on the dais through the ceremonial presentation of books.
The esteemed dignitaries included the Honourable Vice-Chancellor, Prof. (Dr.) B. B. Ramanuj; In-Charge Registrar, Dr. Bhavesh Jani; Dean of the Faculty of Arts, Dr. Kishor Joshi; along with the invited experts, Prof. (Dr.) Paresh Joshi and Dr. Kalyan Chattopaadhyaay.
Prof. (Dr.) Dilip Barad delivered the welcome address, where he outlined the purpose and vision of the workshop. He addressed the emerging academic concern of negotiating the balance between natural intelligence and artificial intelligence, and introduced the workshop’s key focus areas—academic writing, ethical AI usage, research skills, NET/JRF preparation, and the creation of a digital academic resource platform.
The first plenary session was conducted by Prof. (Dr.) Paresh Joshi, who explored the historical development of writing and emphasised the need to preserve human creativity and critical thinking in the era of generative AI. He highlighted the significance of academic writing, particularly for scholars in language and literature.
The second plenary session by Dr. Kalyan Chattopaadhyaay examined the evolution of academic writing in India, linking ancient knowledge traditions with contemporary frameworks such as NEP 2020 and NCF 2023. He stressed the importance of multilingualism, indigenous knowledge systems, and inclusive academic practices.
Dr. Kishor Joshi, Dean of the Faculty of Arts, presented key data on research output, publication standards, and funding trends in India. He underscored the crucial role of educators and researchers in maintaining the quality and integrity of academic writing.The inaugural ceremony concluded with the Vice-Chancellor presenting tokens of appreciation to the resource persons, followed by a vote of thanks extended to all dignitaries, participants, organisers, and volunteers.
Day One - First Session
Session Title: Academic Writing and Prompt Engineering
Date: 27 January 2026
Video: Paresh Joshi | Session 1 | National Workshop on Academic Writing | English - MKBU
The session centred on Academic Writing and Prompt Engineering and began with a formal introduction of the resource person. Prof. Joshi, with over twenty years of experience in teaching and research, has made significant contributions to areas such as English Language Teaching, Applied Linguistics, Phonetics, and Academic Writing. His academic accomplishments were briefly outlined before the session commenced.
In the initial part, Prof. Joshi explained the concept and nature of academic writing. He drew a clear distinction between literary writing and academic writing by referring to examples like an encyclopaedia entry on London and a poem by William Wordsworth. He described academic writing as part of the literature of knowledge, which requires objectivity, logic, factual accuracy, and evidence, in contrast to literary writing that is more imaginative and emotional.
He further presented academic writing as a form of dialogue. According to him, a researcher begins by “listening” through a review of existing literature, then presents those ideas, responds through critical analysis, and ultimately contributes original insights supported by evidence. He also outlined the stages involved in the writing process, including planning, drafting, peer review, revision, proofreading, submission, and receiving feedback.
Using simple illustrations, he highlighted essential principles of academic writing, such as maintaining a formal tone, ensuring clarity, being concise, using precise language, organising ideas logically, making careful claims, and developing strong thesis statements.
In the latter part of the session, Prof. Joshi introduced Prompt Engineering as a vital skill in the era of Artificial Intelligence. He explained it as the practice of giving clear and well-structured instructions to AI tools to generate relevant and accurate responses. Various techniques—such as zero-shot, one-shot, few-shot, chain-of-thought, role-based, and audience-oriented prompting—were discussed with easy-to-understand examples.
He also addressed the ethical dimension of AI usage, cautioning against excessive reliance on such tools. He emphasised the need to verify AI-generated information, as it may sometimes be inaccurate. While encouraging the use of AI for tasks like editing, grammar checking, and idea generation, he strongly advised that it should not replace human creativity and critical thinking.
The session concluded with feedback from participants, who appreciated the clarity, practical examples, and interactive approach. Many noted that the session significantly improved their understanding of academic writing and guided them towards the responsible use of AI in academic contexts.
Day One – Second Session |
Day Two – FirstbSession
Session Title: Academic Writing in English for Advanced Learners – I & II
Resource Person: Dr. Kalyan Chattopadhyay, Author, ELT Specialist, and UGC Master Trainer from Bankim Sardar College, University of Calcutta, Kolkata
Dates: 27 January 2026 – 28 January 2026
- Video: Kalyan Chattopadhyay | Session 2 | National Workshop on Academic Writing | English - MKBU
- Video: Dr. Kalyan Chattopadhyay | Session 3 & 4 | National Workshop on Academic Writing | English - MKBU
The two sessions led by Dr. Kalyan Chattopadhyay were both intellectually stimulating and methodologically grounded, focusing on the ways in which academic knowledge is developed, articulated, and validated through research writing. Collectively, the sessions presented academic writing as not only a formal requirement but also a rhetorical and strategic practice.
At the beginning, the sessions highlighted four essential characteristics of academic writing—formality, objectivity, clarity, and precision—and illustrated how these are reflected in aspects such as tone, lexical choice, sentence construction, citation methods, and the use of an impersonal style. Considerable attention was given to formulating well-defined research problems, hypotheses, and research questions, along with the importance of interpreting data rather than relying on subjective opinion. Participants were advised to avoid overly assertive statements like “I establish” and instead adopt cautious, balanced expressions through hedging.
The sessions also offered a detailed overview of the structure of research articles, particularly emphasising the difference between presenting findings and interpreting them. Dr. Chattopadhyay stressed the importance of evidence-based arguments, methodological consistency, and triangulation, as well as the need for clear reporting of research participants, tools, and procedures. By referring to participants’ research ideas and a sample paper, he demonstrated the importance of proper citation, logical organisation, and clear transitions between ideas.
A key theme explored was the concept of authorial presence in academic writing. Drawing on Ken Hyland’s theory of authorial identity, Dr. Chattopadhyay explained that academic writing is not entirely impersonal; rather, writers must consciously decide how visible they wish to be. He showed how authors express research aims, describe methodologies, and present findings, encouraging participants to reflect on the use of first-person pronouns such as I and we. Strategic authorial presence, he argued, can enhance clarity, accountability, and scholarly authority while still maintaining formal tone.
Participants were encouraged to revise their own writing to better define their role as authors, especially in sections like abstracts, results, and conclusions. Passive constructions such as “it was found that” were compared with more direct expressions like “I argue” or “we interpret,” prompting reflection on how writer visibility influences meaning. Differences in disciplinary conventions regarding authorial voice were also discussed.
The sessions placed strong emphasis on the use of hedging, highlighting its importance in academic writing where claims are rarely absolute. Through examples from published research, Dr. Chattopadhyay demonstrated how words like may, suggests, appears to, and likely help present arguments cautiously, acknowledge alternative perspectives, and maintain academic balance. Participants also learned how hedging varies across different sections of a research paper and how both overuse and underuse can weaken arguments.
Another important aspect discussed was citation and academic attribution. Citation was presented not just as a formal requirement but as a rhetorical strategy to position one’s work within existing scholarship. Dr. Chattopadhyay explained the difference between integral and non-integral citations, the role of reporting verbs, and the need to synthesise sources rather than simply list them. He also emphasised the importance of structuring the literature review to identify key debates, gaps, and scholarly positions.
In the final part, participants were guided on writing effective conclusions that summarise findings, emphasise the significance of the study, and carefully assert the researcher’s interpretation. They were also advised to adapt their writing style according to the expectations of different academic journals while maintaining a consistent scholarly voice.
Overall, the sessions deepened participants’ understanding of academic writing as a structured, rhetorical, and intellectual activity. They enhanced confidence in expressing a research voice, using hedging appropriately, and employing effective citation practices, thereby improving both clarity and credibility in academic work.
Mode: Online
Resource Person: Dr. Clement Ndoricimpa, Teacher-Researcher and Lecturer at École Normale Supérieure du Burundi (Burundi Higher Institute of Education), East Africa
The sessions conducted by Dr. Clement Ndoricimpa were highly practical and informative, focusing on preparing research scholars to write papers suitable for publication in Scopus- and Web of Science–indexed journals. The discussions addressed both the technical requirements and ethical responsibilities of academic publishing, covering areas such as journal indexing, research paper structure, academic language, ethical use of AI, plagiarism, and reference management.
Dr. Ndoricimpa began by explaining the importance of publishing in indexed journals. He described Scopus and Web of Science as major citation databases that include peer-reviewed journals and conference proceedings across disciplines. Publication in such journals, he noted, enhances visibility, credibility, citation impact, and career opportunities. Since these journals maintain rigorous quality standards, researchers must align their work with these expectations.
The session then focused on the structure of a well-developed research article. While acknowledging disciplinary variations, he explained that most research papers follow the IMRD model—Introduction, Methodology, Results, and Discussion. Among these, he emphasised the critical role of the Introduction, as it shapes the reader’s first impression and determines engagement.
He further explained that an effective introduction follows a three-move pattern. The first move establishes the research area by presenting the topic as significant, supported by relevant literature. The second move identifies the research gap by highlighting limitations, unanswered questions, or ongoing debates. The third move addresses this gap by clearly stating the aim or purpose of the study. He also shared commonly used academic expressions and stressed the need for smooth logical progression between these stages.
Throughout the sessions, Dr. Ndoricimpa repeatedly pointed out a common issue in participants’ writing—the absence of proper references. He emphasised that statements such as “studies show” must always be supported by citations, as unsupported claims weaken the credibility of academic work. He also advised using recent and relevant sources, noting that outdated references reduce scholarly value.
Another important aspect discussed was the use of academic language. He highlighted the need for a formal tone, clarity, coherence, and precision. By demonstrating the use of connectors such as however, although, despite, and therefore, he showed how arguments can be logically developed. Participants were encouraged to avoid vague statements and instead adopt precise, discipline-specific language.
A dedicated segment focused on the ethical use of AI tools like ChatGPT, Gemini, DeepSeek, and Perplexity. Dr. Ndoricimpa acknowledged differing opinions on AI, with some viewing it as a threat due to plagiarism concerns, while others see it as a support tool. He clarified that AI should be used only for improving language, structure, and coherence—not for generating original academic content. He emphasised that intellectual responsibility must remain with the researcher, and effective use of AI depends on careful prompting and critical evaluation.
The sessions also addressed plagiarism, which he defined as presenting someone else’s ideas or language as one’s own. He stressed that plagiarism is a serious breach of academic integrity and noted that indexed journals conduct strict similarity checks before peer review. High levels of similarity, he warned, can result in immediate rejection.
In addition, Dr. Ndoricimpa discussed citation practices and reference management. He introduced Mendeley as a useful tool for organising references and explained major citation styles such as APA, MLA, Chicago, and Vancouver. He demonstrated how to use the software, including registration, adding references, and managing bibliographic data, while also advising participants to verify details to avoid inaccuracies.
Beyond technical guidance, the session also held personal academic value. The speaker reflected on a long-standing academic engagement with Dr. Ndoricimpa’s teaching—from an undergraduate workshop in 2019 focusing on basic writing principles, to postgraduate sessions in 2020–21 that emphasised argument structure and theoretical engagement. Reconnecting with his guidance during AWW 2026 reinforced both the technical skills required for publication and the ethical commitment essential to academic work.
The session concluded with feedback on participants’ writing and appreciation for their active involvement. Overall, it offered comprehensive and practical insights into writing for indexed journals, understanding publication standards, avoiding plagiarism, responsibly using AI, and managing references effectively—greatly enhancing participants’ academic writing skills.
Session Title: Detecting AI Hallucination and Using AI with Integrity
Date: 29 January 2026
Resource Person: Prof. (Dr.) Nigam Dave, Professor, School of Liberal Studies (SLS), Pandit Deendayal Energy University, Gandhinagar, Gujarat, India
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The session titled “Detecting AI Hallucination and Using AI with Integrity” explored the possibilities, limitations, and ethical responsibilities associated with the use of Artificial Intelligence in academic and research contexts. Prof. Nigam Dave explained how AI functions, why it can sometimes be unreliable in scholarly work, and how it can still be used effectively when guided by careful human supervision.
He began by establishing a personal rapport with the department, referring to it as his academic “home.” He stressed that while AI is a powerful technological aid, it should never be accepted unquestioningly. Echoing a traditional scholarly principle, he reminded the audience that knowledge must always be verified, not merely accepted because “AI has said so.” He also pointed out that modern learners, influenced by speed and convenience, often sacrifice reflection, patience, and critical evaluation.
Tracing the evolution of knowledge systems, Prof. Dave moved from the oral traditions of Shruti and Smriti to the eras of print culture, libraries, cinema, television, and finally the digital age. He highlighted the contrast between earlier generations, who engaged in slow and immersive reading, and today’s learners, who navigate an overwhelming abundance of information with increasingly limited attention spans. The rise of social media and algorithm-driven platforms, he noted, has further encouraged a culture of instant gratification, reducing deep intellectual engagement.
The discussion then shifted to the present academic and industrial landscape, characterised by concepts such as University 4.0 and Industry 5.0. Prof. Dave described the current phase as one of Human–Cyber–Physical Systems (HCPS), where human intelligence, digital systems, and physical technologies interact continuously. He emphasised that humans must remain central in this loop, using AI as a supportive tool rather than allowing it to replace critical thinking—much like calculators assist but do not eliminate mathematical understanding.
A key part of the session focused on AI hallucination, which he defined as the creation of information that appears convincing but is not factually accurate. Since AI operates on probability and pattern prediction rather than truth verification, it can generate responses that sound authoritative yet are entirely fabricated. This makes it particularly risky in academic work, where accuracy and credibility are essential.
He noted that disciplines like English studies are especially vulnerable because they rely heavily on interpretation, theoretical language, and abstract argumentation. AI can easily imitate such styles, producing polished and persuasive content that may not be grounded in truth. He likened this to generalized predictions, which seem meaningful but lack real substance.
Prof. Dave outlined several indicators of AI-generated inaccuracies, such as vague claims like “research shows” or “experts agree” without proper references. He also addressed the issue of citation hallucination, where AI invents sources, misattributes ideas, or fabricates publication details. Drawing from his own experience, he demonstrated how AI can create false literary references, incorrect quotations, and even imaginary texts, often admitting errors only when questioned.
Another important concern he raised was bias in AI systems. Since AI is trained on human data, it inevitably reflects existing social, cultural, and historical biases. He illustrated how such biases can appear in representations of gender and ethical reasoning, reinforcing the idea that AI is not neutral and must always be critically evaluated.
Despite these challenges, Prof. Dave argued that AI should not be rejected. Instead, it should be used thoughtfully and responsibly. He demonstrated its usefulness in tasks such as proofreading, citation formatting, evaluating research ideas, preparing for viva examinations, understanding publication processes, and verifying journal authenticity. In these areas, AI serves as a helpful assistant rather than a replacement for scholarly thinking.
However, he strongly cautioned against using AI to generate original arguments, interpretations, or references. Its role should remain limited to technical and supportive tasks, while intellectual responsibility must stay with the researcher. Without human oversight, he warned, AI becomes “a storyteller without an editor,” capable of producing convincing but unreliable narratives.
In conclusion, Prof. Dave reminded the audience that true knowledge requires discernment. Referring to Samuel Johnson’s insight, he emphasised that knowing how and where to verify information is more important than merely possessing it. The session ended with active participation and reflection from attendees, who appreciated its practical insights and its emphasis on ethical AI use.
Overall, the lecture presented a balanced and thought-provoking perspective, encouraging scholars to integrate technological tools with critical thinking, ethical awareness, and responsible academic practice.
Day Four & Day Five
Session Title: From Classroom to an Academic Career
Resource Person: Dr. Kalyani Vallath, CEO and Founder, Vallath Education, Thiruvananthapuram, Kerala
Dates: 30 January 2026 – 31 January 2026
1. Video : Dr Kalyani Vallath - Part 1/4 | National Workshop on Academic Writing | English - MKBU
2. Video : Dr Kalyani Vallath - Part 2/4 | English - MKBU
3. Video : Dr Kalyani Vallath - Part 3/4 | English - MKBU
4. Video : Dr Kalyani Vallath - Part 4/4 | English - MKBU
Day Six
Session Title: Multimodal E-Content for a Digital Resource Hub
Resource Person: Dr. Dilip Barad Professor & Head Department of English Maharaja Krishnakumarsinhji Bhavnagar University Bhavnagar, Gujarat, India
Dates: 1 February 2026
Video : Dr. Dilip Barad | National Workshop on Academic Writing | English - MKBU
The session emphasized the urgent need to rethink academic pedagogy in the context of the National Education Policy (NEP) 2020, with particular attention to adult learners, digital resource creation, and the ethical integration of Artificial Intelligence. The speaker outlined the structure of the week-long workshop, which was organized into three progressive phases: academic writing, career-oriented learning with NET preparation, and practical content creation for undergraduate students.
A central argument of the session was that pedagogy must guide technology rather than be dominated by it. The speaker distinguished between pedagogy (the method of teaching children), andragogy (focused on adult learners), and heutagogy (self-determined learning), highlighting the increasing importance of learner autonomy, maturity, and experiential engagement. This shift reflects a broader transformation in education, where students are no longer passive recipients but active participants in the learning process.
The introduction of the concept of a Digital Resource Hub was presented as a necessary response to changing educational realities—declining classroom attendance, the growing emphasis on skill-based learning, and the expanding role of AI in knowledge production and dissemination. Such a hub enables structured, accessible, and multi-modal learning environments that cater to diverse learner needs.
The session also demonstrated the responsible use of AI tools, particularly NotebookLM, in creating well-organized, source-based academic content. These outputs included written materials, audio recordings, videos, infographics, mind maps, assessments, and interactive discussion activities. Unlike general-purpose AI platforms, NotebookLM was highlighted for its reliability in academic contexts, as it operates strictly on user-provided sources, thereby enhancing verifiability and minimizing the risk of misinformation or hallucination.
A notable pedagogical innovation discussed was the introduction of a “Fifth Quadrant” to complement the traditional four-quadrant SWAYAM model. This additional quadrant is designed to incorporate AI-driven tasks that promote critical thinking, reflective learning, self-assessment, and collaborative engagement. Rather than encouraging passive consumption or misuse of AI, it fosters meaningful interaction with knowledge.
The session concluded by reinforcing that Artificial Intelligence should not be perceived as a threat or a substitute for human intellect. Instead, when integrated thoughtfully and ethically, AI can serve as a powerful tool to enhance personalized learning, deepen critical inquiry, and prepare students for evolving academic and professional landscapes.
I extend my sincere gratitude to Prof. (Dr.) Dilip Barad, Ms. Megha Trivedi, Ms. Prakruti Bhatt, the Knowledge Consortium of Gujarat (KCG), and the students of the Department of English for their invaluable guidance, support, coordination, and contributions in making this event a great success.
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