Learning Academic Writing: From Research Foundations to Competitive Exam Readiness
This blog is written as part of the academic task given by Dilip Barad. Through this reflective writing, I aim to share my personal learning outcomes from the National Workshop on Academic Writing and the various expert sessions I attended. Each session helped me understand academic writing not only as a technical skill but as a disciplined, ethical, and thoughtful practice. From learning about the foundations of research and global publication standards to understanding the responsible use of artificial intelligence, this journey has shaped my perspective as a student and emerging researcher. This blog presents my individual reflections on how these sessions strengthened my confidence, improved my critical thinking, and prepared me for competitive exams and future academic challenges.
1.
Attending the National Workshop on Academic Writing was a meaningful learning experience for me. It helped me understand how writing has evolved over time from ancient oral traditions and classical works like Ashtadhyayi to the modern digital age shaped by artificial intelligence. I learned the difference between natural human intelligence and artificial intelligence, and why it is important to use AI as a supportive tool rather than becoming dependent on it. The sessions on prompt engineering and cognitive skills made me realize that technology should enhance my thinking, not replace it.
I also developed a clearer understanding of academic writing as a serious and disciplined practice. I learned how to structure arguments, maintain clarity, avoid superficial writing, and focus on originality and proper research methods. The discussions about research quality, citation impact, and India’s academic growth opened my eyes to the responsibilities of teachers and scholars in improving the standard of research.
Learning about the goals of National Education Policy 2020 and National Curriculum Framework 2023 helped me appreciate the importance of multilingualism and the inclusion of Indian knowledge systems in modern education. Overall, this workshop increased my confidence as a student of English and made me more aware of my role in preserving human creativity, critical thinking, and meaningful expression in an AI-driven world.
2.
Attending the session by Prof. (Dr.) Paresh Joshi from Veer Narmad South Gujarat University was a very enriching experience for me. I learned that academic writing is very different from creative writing. While literature allows imagination and emotions, academic writing must be objective, logical, structured, and based on evidence. The comparison between an encyclopedia entry and a poem by William Wordsworth clearly helped me understand the difference between factual writing and imaginative writing. I realized that as a student of English, I must control my creative instincts when writing research papers and focus more on clarity, precision, and strong arguments supported by proper citations.
One of the most important lessons for me was the idea of “listening to the conversation” before writing. Research is not just about giving my opinion; it is about reading existing studies, understanding different viewpoints, and then carefully presenting my own argument. I also understood the importance of academic language, avoiding informal expressions, vague words, and unsupported generalizations. The KISS principle (Keep It Short and Simple) encouraged me to write clearly and directly instead of using unnecessary complexity.
The session on prompt engineering was equally eye-opening. I learned that using AI effectively depends on how clearly and specifically I frame my prompts. Giving AI a defined role, task, context, and constraints can produce much better results. However, I also understood the risks of over-dependence on AI, especially in terms of plagiarism, loss of creativity, and weakening of critical thinking skills. The discussion on ethical use of AI, intellectual property rights, and fact-checking made me more aware of my responsibility as a researcher.
Overall, this session strengthened my understanding of academic writing as a disciplined and ethical practice. It increased my confidence in structuring research, using formal academic vocabulary, and responsibly integrating AI tools into my learning process without compromising originality and integrity.
3.
Attending the session by Kalyan Chattopadhyay, a distinguished alumnus and global ambassador of the University of Leeds, was a deeply practical and eye-opening learning experience for me. I learned that academic writing is not just about writing in English, but about following clear international standards that many Indian researchers still struggle to meet. The four key features formality, objectivity, clarity, and precision helped me understand how serious and disciplined research writing must be. I realized that avoiding contractions, emotional language, and personal opinions is essential, and that evidence should always guide conclusions rather than personal beliefs.
4.
Attending the second session by Kalyan Chattopadhyay helped me understand academic writing at a much deeper and more practical level. I learned that writing a strong research proposal is not just about having an interesting idea, but about presenting a clear, evidence-based, and theoretically grounded argument that can stand in global academic competition. The discussion on refining thesis titles taught me to choose topics that are manageable, specific, and supported by strong scholarly background rather than vague or overly ambitious claims. I also understood that literary research requires solid textual evidence and theoretical support from thinkers like Foucault or Zuboff when dealing with topics such as power, surveillance, or digital control.
One of my biggest learnings was the importance of argument structure. The PIE method (Point, Information, Explanation) showed me how to build strong paragraphs with logical flow. I also understood the difference between inductive and deductive reasoning and how both are important in constructing persuasive academic arguments. The explanation of ethos, logos, and pathos made me realize that academic writing mainly depends on logic and credibility, not emotion. I learned that even if a hypothesis is not fully supported by evidence, it does not mean the research fails; instead, it should be carefully reframed with counterarguments and limitations.
The session also changed my perspective on authorial identity. Through reference to Ken Hyland’s ideas, I realized that using “I” or “we” in academic writing is not always wrong; in fact, it can show clarity and confidence when used appropriately. As an L2 writer, I often hesitate to assert my voice, but this session encouraged me to develop a stronger academic presence while still maintaining objectivity and proper hedging.
I also gained clarity on writing abstracts using the CARS model, organizing literature reviews through synthesis rather than summary, and maintaining proper citation to avoid plagiarism. The advice to write the introduction last and use reverse outlines for coherence was especially practical for my own thesis writing process. Overall, this session made me more confident, more critical, and more aware of international academic standards. It motivated me to improve not only my writing style but also the quality, structure, and global relevance of my research work.
5.
Attending the first ans second session by Clement Ndoricimpa was a very practical and eye-opening learning experience for me. I learned that publishing in indexed journals like Scopus and Web of Science is not just about writing a paper, but about meeting high academic standards. These journals give greater visibility, more citations, and better career opportunities. I understood that if I want international recognition, I must focus on quality, structure, originality, and proper referencing. Publishing in Q1 or Q2 journals requires strong research contribution and careful preparation.
One of my biggest learnings was the importance of structure. I clearly understood the IMRD format—Introduction, Methods, Results, and Discussion. The explanation of the three-move model for writing the introduction was especially helpful. Move 1 is about showing the importance of the topic and reviewing previous research. Move 2 is about identifying a research gap. Move 3 is about stating the purpose and contribution of the study. I realized that without proper references in Move 1 and Move 2, the introduction becomes weak and unreliable. I learned that every claim must be supported by citations to avoid rejection and plagiarism issues.
Another important lesson was about plagiarism and ethical writing. I understood that copying ideas without citation can lead to immediate rejection because indexed journals check similarity before peer review. Proper citation styles such as APA, MLA, Chicago, or Vancouver must be followed carefully. I also learned about using reference management tools like Mendeley to organize sources and avoid formatting mistakes. This showed me that academic writing is not only about ideas but also about academic honesty and technical accuracy.
The discussion about AI tools like ChatGPT, Gemini, and Perplexity AI changed my perspective. I learned that AI can be useful for improving grammar and clarity, but it should not replace original thinking. Copy-pasting AI-generated text is considered plagiarism. The correct approach is to write independently first and then use AI only for revision and improvement. This helped me understand how to use technology responsibly in academic writing.
I also gained awareness about journal rankings (Q1 to Q4), publication charges, open access options, ORCID ID requirements, and the importance of submitting papers through official publisher websites like Taylor & Francis to avoid predatory journals. Overall, this session strengthened my understanding of academic publishing standards. It made me more careful, more responsible, and more confident about preparing a research paper for international indexed journals.
7.
The explanation of technological development from Industry 1.0 to Industry 5.0 helped me understand how humans and machines are now closely connected. In Industry 5.0, humans and cyber-physical systems work together. This means AI should support human intelligence, not replace it. I also learned that attention spans are reducing because of social media and fast digital content, which affects learning habits. This made me reflect on my own dependence on quick information and the need to slow down and think critically.
Another strong learning outcome for me was understanding the risks of citation hallucination. AI can create fake references, incorrect quotations, or vague general statements that sound academic but are not real. This is especially dangerous in literature and qualitative research, where theories and interpretations are abstract. I learned that human verification is necessary at every stage. Even tools like Turnitin can detect AI-generated writing, so originality and honest effort are very important.
At the same time, I also understood that resisting AI is not practical. Instead, AI should be used ethically—for proofreading, checking arguments, understanding journal guidelines, and improving clarity. The example of the Jill Watson AI teaching assistant showed me that AI can support education effectively when guided properly. Overall, this session changed my perspective on AI. It taught me to use AI as a supportive assistant, not as a replacement for thinking. The responsibility of critical judgment, verification, and ethical use always remains with me as a learner and researcher.
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