AI Tools for Research

 

21st Century Literature Review: Tools Every Researcher Should Know

In an age where research output is growing exponentially, the traditional methods of doing a literature review—manual searches on Google Scholar or trawling through PDFs—are no longer sufficient. Fortunately, a new wave of AI-powered and open-access tools has made it easier than ever to trace citations, discover influential works, and even visualize the scholarly landscape around your topic. If you’ve used tools like Citation Gecko or OpenAlex, you’ve already tasted the power of citation intelligence. But there’s more—much more.

This blog introduces several powerful alternatives and complementary tools for citation tracking, research mapping, and literature discovery.

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🔍 Citation Mapping and Visualization Tools

1. Connected Papers – connectedpapers.com

If you know one good paper in your area, Connected Papers can show you a network of related works. It generates a visual graph based on citations, helping you explore prior and derivative research. You can use a title or DOI to get started.

2. Research Rabbit – researchrabbit.ai

Think of this as the Spotify of academic research. It not only maps connections between papers and authors but also lets you track updates in research areas. You can follow citation trails, author networks, and even institution-wise output.

3. Litmaps – litmaps.com

Litmaps lets you visually organize and track your literature review process. It automatically updates you with new papers relevant to your field. Great for keeping a dynamic bibliography while writing a thesis or article.

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📚 Academic Search Engines with Smart Citation Features

4. Semantic Scholar – semanticscholar.org

An AI-driven alternative to Google Scholar, Semantic Scholar highlights citation influence, shows citation context, and identifies key papers. It’s particularly useful for understanding how a paper is being used in the field—whether as foundational, supporting, or marginal.

5. Scite.ai – scite.ai

Not all citations are created equal. Scite goes further by showing whether a citation supports, disputes, or merely mentions the source. It’s a valuable tool for critically assessing the influence and reception of a research paper.

6. Dimensions.ai – dimensions.ai

Offers a broader view, combining citations with grants, datasets, patents, and policy documents. Dimensions is excellent for interdisciplinary researchers looking to trace the real-world impact of academic output.

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🧠 Academic Social Networks & Community Tools

7. Academia.edu & ResearchGate

These platforms are more than just CV warehouses. Researchers often upload preprints and engage with their peers here. While not formal citation indexes, these platforms help you access grey literature, unpublished drafts, and connect with authors.

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🔓 Open Data Platforms for Developers and Analysts

8. OpenCitations – opencitations.net

An open-source initiative providing free bibliographic and citation data, ideal for those who want to build citation graphs, conduct bibliometric analysis, or integrate citation data into custom applications.

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🧰 Bonus: Reference Management Tools with Discovery Features

• Zotero – zotero.org

• Mendeley – mendeley.com

• Paperpile – paperpile.com

While mainly reference managers, these tools also help with discovery by integrating with Google Scholar or CrossRef and recommending related literature.

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🧭 Summary Table: Tool Features at a Glance

Tool	Citation Map	Citation Context	Free Access	Update Alerts
Citation Gecko	✅	❌	✅	❌
Connected Papers	✅	❌	✅	❌
Research Rabbit	✅	❌	✅	✅
Litmaps	✅	❌	✅ (basic)	✅
Semantic Scholar	❌	✅	✅	❌
Scite.ai	❌	✅	✅ (limited)	✅ (premium)
Dimensions.ai	❌	❌	✅ (basic)	✅
OpenCitations	❌	❌	✅	❌

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🎓 Final Thoughts

The future of research is not just about reading—it’s about strategically navigating a sea of information. These tools empower researchers to go beyond keyword searches and instead follow intellectual threads, identify emerging trends, and visualize scholarship as a living, growing network.

Whether you are a postgraduate student, doctoral researcher, or a faculty member supervising research, incorporating these tools into your workflow will streamline your literature review and enhance the quality of your academic output.

STC Research Methodology

Researcher’s Attitude, Ethics, and Digital Profile Essentials 

In today’s rapidly evolving academic landscape, mastering research methodology and ethics is crucial for scholars across disciplines. During the Short Term Course on Research Methodology, participants were introduced to key aspects of developing a strong research attitude, adhering to ethical guidelines in publishing, and leveraging digital tools to enhance their scholarly work. Through three insightful presentations, the course covered fundamental topics such as the vocation of a researcher, the importance of publication ethics, and the use of modern digital platforms for creating a robust academic profile. This blog shares the highlights from these presentations, providing participants with a comprehensive understanding of how to conduct ethical and impactful research in the digital age.

1. Research Attitude and Ethics in Research​

This presentation covers the fundamental aspects of research attitude and the role of ethics in the research process. It highlights the difference between a researcher and a scholar, emphasizing the vocation and spirit of scholarship. Participants will explore the mindset required for conducting genuine and ethical research, including the principles of evidence-based research and intellectual curiosity.

Key Concepts:

• Vocation of a Scholar: The presentation distinguishes between mere research and the higher calling of scholarship, highlighting the historical sense and intellectual breadth that define true scholarship.
• Mental Temperament: Law and Journalism

Assignment Questions:

1. Discuss the key differences between a researcher and a scholar, and explain why scholarly habits are essential for long-term success in academia.
2. How does Law and Journalism help in mental makeup of a research scholar in writing thesis / dissertation?

The presentation can be viewed here: https://www.slideshare.net/slideshow/attitude-ethics-and-journal-finder-research/271864413

2. Research and Publication Ethics (RPE) and Finding Quality Journals​

The final presentation deals with ethics in research and publication, providing guidance on selecting appropriate journals for publication. Ethical issues such as falsifiability, the philosophy of science, and the proper conduct of research are covered.

Key Concepts:

• Philosophy of Science: The importance of falsifiability, testability, and verificationism in scientific theories is discussed, alongside the challenges of justifying scientific beliefs.
• Publication Ethics: Ethical guidelines from organizations like COPE (Committee on Publication Ethics) and WAME (World Association of Medical Editors) are introduced, along with the risks of predatory publishing.
• Journal Selection: The presentation highlights tools like journal suggesters (e.g., Springer, Elsevier) to help scholars find high-quality journals for their work.

Assignment Questions:

1. Discuss the concept of falsifiability in scientific research and its importance in establishing the validity of scientific theories.
2. What are the main ethical considerations in academic publishing, and how can researchers avoid falling prey to predatory journals?
3. Describe the process of selecting a journal for publication. What tools and strategies can a researcher use to find a reputable journal?

The presentation can be viewed here: https://www.slideshare.net/slideshow/research-and-publication-ethics-ugc/250427934

Research and Publication Ethics | UGC from Dilip Barad

3. Digital Tools for Research and Researcher Profile​

This presentation focuses on the modern tools available for research, including databases, reference management tools, and plagiarism prevention software. It also addresses the creation of a digital researcher profile on platforms like ORCID, Scopus, and Google Scholar to maintain an online academic presence.

Key Concepts:

• Research Tools: Various tools for conducting qualitative and quantitative research are introduced, such as Zotero, Mendeley, and Turnitin. Databases like Google Scholar, JSTOR, and Web of Science are discussed for accessing high-quality academic papers.
• Researcher Metrics: The importance of metrics like the h-index, g-index, and journal impact factors is emphasized for evaluating research impact.
• Digital Profile Management: Scholars are encouraged to create profiles on platforms such as ORCID, Scopus, and Google Scholar to interlink their research accounts and track citations.

Assignment Questions:

1. Discuss the role of digital tools in modern research and how they help streamline the research process.
2. How can a researcher effectively manage their digital academic profile, and why is it important for career development?
3. Compare different research metrics such as h-index and g-index. Which metric do you think is the most reflective of a scholar’s impact?

The presentation can be viewed here: https://www.slideshare.net/slideshow/digital-tools-for-research-and-researcher-profile/271864414

UGC-RPE: Research and Publication Ethics

 A Course on Research and Publication Ethics (RPE) - for Ph.D. Students

University Grants Commission (UGC) in its 543rd meeting held on 9th August 20-19 approved two Credit Course for awareness about publication ethics and publication misconducts entitled "Research and Publication Ethics (RPE)" to be made compulsory for all PhD students for pre-registration coursework. Click here to download the syllabus.

In view of the above, many PhD scholars as well as resource persons may be in need of the recommended books to carry out this coursework. All these resources are in public domain and can be downloaded from below given links:

UGC has prepared a booklet in which all these resources are compiles. Click here to download UGC-Academic Integrity & Research Quality 

1. Beall, J. (2012). Predatory publishers are corrupting open access. Nature, 489(7415), 179-179. https://doi.org/10.1038/489179a
2. Bird, A. (2006). Philosophy of Science. Routledge.
3. Chaddah, P. (2018). Ethics in Competitive Research: Do not get Scooped; do not get Plagiarized. ISBN: 978-938748086
4. Indian National Science Academy (INSA) (2019). Ethics in Science Education, Research and Governance. ISBN: 978-81-939482-1-7. http://www.insaindia.res.in/pdf/Ethics_Book.pdf
5. MacIntyre, Alasdair (1967). A Short History of Ethics. London.
6. National Academy of Sciences, National Academy of Engineering and Institute of Medicine (2009). On Being a Scientist: A Guide to Responsible Conduct in Research: Third Edition. National Academies Press.
7. Resnik, D.B. (2011). What is Ethics in Research & Why is it Important. National Institute of Environmental Health Sciences, 1-10. Retrieved from https://www.niehs.nih.gov/research/resources/bioethics/whatis/index.cfm

Hypothesis - PhD Coursework

Research Hypothesis

Dilip Barad

Abstract:

This comprehensive lecture series delves into the multifaceted realm of hypotheses in academic research, encompassing their origins, formulations, analyses, and applications. Hypothesis-I traces the linguistic roots of the term "hypothesis" to its Latin and Greek foundations, elucidating its role as a tentative proposition subject to empirical scrutiny. Emphasizing its significance as an initial step in scientific investigation, the lecture underscores the necessity of clear definitions and operational terms, delineating hypotheses from established theories. In Hypothesis-II, the discourse expands to examine hypotheses in both quantitative and qualitative research. In qualitative studies, hypotheses aid in unearthing thematic patterns, while their quantitative counterparts guide rigorous variable analysis. Hypothesis-III, the third installment, delves into crafting effective research questions and hypotheses. A thorough differentiation between quantitative and qualitative paradigms unfolds, encompassing diverse question and hypothesis types. The lecture series culminates in Hypothesis-IV, where pragmatic considerations in developing hypotheses take the spotlight. Ethical, feasible, and relevant criteria are probed, bolstered by frameworks like PICOT and FINER MAPS. The construction of impactful research questions and hypotheses is elucidated through a six-step process, which harmonizes contextual understanding, problem identification, preliminary research, hypothesis formulation, and study aim articulation. This comprehensive exposition navigates the nuanced landscape of hypotheses, concurrently mapping their evolution from nascent propositions to research catalysts across diverse academic domains.

Keywords:

 hypothesis, academic research, qualitative research, quantitative research, research questions, frameworks

 Hypothesis - Ph.D. Coursework

1. Hypothesis - I:

• The lecture is about the topic of hypothesis in academic research.
• The etymology of the word "hypothesis" is traced back to Latin and Greek roots, emphasizing its foundation and groundwork.
• A hypothesis is an educated guess or prediction about the relationship between variables.
• It is a statement that can be tested through scientific research and requires specific definitions and operational terms.
• A hypothesis is not a proven theory or fact, but a starting point for further investigation and is subject to revision based on research findings.

If the video is not played here, please visit this link to watch the video: https://youtu.be/guv8WVXXnZk

Summary:

In this lecture on PhD coursework, Professor Dilip Barad discusses the topic of hypothesis in academic research. The etymology of the word "hypothesis" reveals its Latin and Greek roots, highlighting the importance of laying a foundation for research. A hypothesis is not merely a preposition, but rather a result of groundwork and scientific thinking.

A hypothesis is an educated guess or prediction about the relationship between variables. It is based on limited evidence and requires further testing and verification. Variables play a crucial role in hypothesis formulation, with independent variables being the ones that can be changed, dependent variables being what is observed or measured, and controlled variables being the ones that remain constant.

A hypothesis is not a proven theory or fact, but rather a starting point for further investigation. It requires scientific research and testing to determine its validity. If research findings do not support the hypothesis, it may need to be revised or even abandoned. Hypotheses inform the collection of relevant data and enhance objectivity in research.

It is important to differentiate between a hypothesis and a proven theory. A hypothesis is falsifiable and subject to empirical testing, whereas a theory has been extensively supported by evidence. The lecture also touches on the challenges of verifying hypotheses in qualitative research and the meaningfulness of hypotheses in different fields like ethics and aesthetics.

Overall, the lecture emphasizes the significance of hypothesis in academic research as a tool for making predictions, guiding data collection, and advancing scientific understanding.

2. Hypothesis-II:

• The speaker discusses the purpose and analysis of hypothesis in quantitative and qualitative research.
• In qualitative research, hypothesis formulation helps uncover themes and develop a general understanding of the topic.
• In quantitative research, hypothesis testing and confirmation play a vital role in narrowing down variables and producing high-quality data.
• If the video is not playing or visible here, click this link to watch video: https://youtu.be/ISpza-aXRd8

Summary:

The speaker, Professor Dilip Bharat, discusses the purpose and analysis of hypothesis in both quantitative and qualitative research.

In qualitative research, the purpose of a hypothesis is to formulate a general understanding of a topic and uncover themes. It helps researchers obtain deeper information about a subject and serves as a foundation for developing research questions and hypotheses. Qualitative research often precedes quantitative research, providing a baseline understanding that allows for the formulation of hypotheses related to correlation and causation. While quantitative researchers consider hypotheses essential, qualitative researchers primarily use them to frame their analysis and interpret the data, moving from a hypothesis to a broader theory.

On the other hand, in quantitative research, hypotheses play a crucial role in testing and confirming expected outcomes. These hypotheses are educated statements based on background research and current knowledge. They make specific predictions about the relationship between independent and dependent variables. Quantitative research relies on statistical analysis and structured data sets, often analyzed using software tools like Excel, R, or SPSS. Hypothesis formulation in quantitative research helps narrow down variables and ensures a controlled research outline to generate high-quality data.

The analysis of data differs between qualitative and quantitative research. Qualitative research generates highly textual data, where researchers identify key themes and patterns by reading and analyzing the text. In contrast, quantitative research produces data sets that can be analyzed using statistical software and includes factors such as ratings, rankings, and metrics. The analysis approaches and questions raised from the data also vary between the two research types.

The transcript highlights the interconnectedness between research questions and hypotheses. Research questions aim to answer specific aspects of a study after data analysis and interpretation. In qualitative research, research questions hold great importance, particularly for fields like literature, psychology, sociology, and history, where interpretations play a significant role. In quantitative research, research questions are fewer, and hypotheses take precedence, providing specific predictions to be tested and explored.

In summary, the lecture explains that the purpose and analysis of hypotheses differ in quantitative and qualitative research. Qualitative research employs hypotheses to uncover themes and develop a general understanding, while quantitative research relies on hypotheses to test and confirm expected outcomes. The analysis of data also varies, with qualitative research focusing on textual analysis and quantitative research utilizing statistical tools. The lecture emphasizes the interconnectedness between research questions and hypotheses, with qualitative research placing more emphasis on research questions and quantitative research prioritizing hypotheses.

3. Hypothesis-III

• This is Part 3 of a lecture series on hypothesis in academic research for a PhD coursework.
• The speaker discusses the characteristics of good research questions and hypotheses.
• It explains the differences between quantitative and qualitative research questions and hypotheses.
• Quantitative research questions can be descriptive, comparative, or relationship-based, while qualitative research questions can be contextual, descriptive, evaluative, explanatory, or generative.
• The transcript also mentions different types of quantitative and qualitative hypotheses, such as simple, complex, directional, associative, null, and alternative hypotheses.
• If the video is not playing or not visible, please click this link to watch video: https://youtu.be/aSuEWblkjJc

Summary:

In Part 3 of the lecture series on hypothesis in academic research for a PhD coursework, the speaker, Professor Dilip, discusses the characteristics of good research questions and hypotheses. He emphasizes that excellent research questions should be specific and focused, integrating collective data and observations to confirm or refute subsequent hypotheses. On the other hand, good hypotheses should be empirically testable, backed by preliminary evidence, testable by ethical research, based on original ideas, supported by evidence-based logical reasoning, and capable of being predicted.

The lecture further explores the differences between quantitative and qualitative research questions and hypotheses. Quantitative research questions can fall into three categories: descriptive, comparative, and relationship-based. In contrast, qualitative research questions cover a broader range, including contextual, descriptive, evaluative, explanatory, and generative questions. It is interesting to note that while quantitative research questions generate multiple hypotheses due to the various variables involved, qualitative research questions typically generate only one hypothesis.

The lecture provides examples of different types of hypotheses for both quantitative and qualitative research. For quantitative research, these include simple, complex, directional, associative, null, and alternative hypotheses. Each type of hypothesis serves a distinct purpose, such as predicting relationships, describing interdependencies, or clarifying differences. In qualitative research, hypotheses may emerge from the exploration of subjective experiences, allowing for the formulation of formal hypotheses that can be tested in future quantitative approaches.

The speaker also highlights the importance of understanding the natural context of real-world problems and tailoring research questions and hypotheses accordingly. He discusses examples such as the experiences of nurses working night shifts during the COVID-19 pandemic or the forms of disrespect and abuse experienced by individuals in specific contexts.

Overall, this part of the lecture series delves into the technicalities of understanding hypotheses in academic research. While the information may not directly apply to all research endeavors, it provides valuable insights for formulating research questions and hypotheses in various contexts.

4. Hypothesis-IV:

• The video is from the fourth and final part of a Ph.D. coursework on research questions and hypotheses wherein the criteria for developing research questions and hypotheses, including feasibility, interest, novelty, ethics, and relevance are discussed.
• It mentions frameworks such as PICOT (Population, Intervention, Comparison, Outcome, Time Frame) and FINER MAPS (Feasibility, Interest, Novelty, Ethical, Relevant, Manageable, Appropriate, Potential Value, Publishable, Systematic).
• The video outlines six important points for constructing effective research questions and hypotheses, including clarifying the background, identifying the research problem, conducting preliminary research, constructing research questions, formulating hypotheses, and stating the study aims.
• The video also highlights the differences between quantitative and qualitative research in terms of forming research questions, hypotheses, and conclusions.
  
• If the video is not visible or not playing here, please click this link to watch the video: https://youtu.be/MQZwXqwq3H0

Summary:

This is the final part of a Ph.D. coursework on research questions and hypotheses. The video emphasizes the importance of developing research questions and hypotheses that meet certain criteria. It introduces frameworks like PICOT (Population, Intervention, Comparison, Outcome, Time Frame) and FINER MAPS (Feasibility, Interest, Novelty, Ethical, Relevant, Manageable, Appropriate, Potential Value, Publishable, Systematic) to guide the process.

The video outlines six key points for constructing effective research questions and hypotheses. Firstly, it is essential to clarify the background of the study. Secondly, researchers need to identify the research problem within a specific time frame. Thirdly, conducting preliminary research and reviewing existing knowledge is crucial to formulating research questions. Fourthly, researchers should construct specific research questions that investigate the identified problems and identify the necessary variables for assessment. Fifthly, researchers need to formulate specific deductive or inductive predictions in the form of hypotheses. Finally, they should state the aims of the study.

The video also distinguishes between quantitative and qualitative research in terms of forming research questions, hypotheses, and conclusions. For quantitative research, researchers need to test or verify hypotheses, whereas qualitative research focuses on formulating research questions and choosing appropriate methods, sites, and subjects for the study. The conclusion of a qualitative study can lead to the formulation of new hypotheses for further research.

Overall, the video provides guidance on developing research questions and hypotheses that adhere to specific criteria and outlines the step-by-step process for constructing them. It emphasizes the importance of conducting preliminary research, formulating clear and specific questions, and differentiates the approaches between quantitative and qualitative research.

References

Barroga, E., & Matanguihan, G. J. (2022). A Practical Guide to             Writing Quantitative and Qualitative Research Questions and             Hypotheses in Scholarly Articles. Journal of Korean Medical             Science, 37(16). https://doi.org/10.3346/jkms.2022.37.e121

Black, J. A., & Champion, D. J. (1976). Methods and issues in social research. John Wiley & Sons.

Feynman, Richard (1965) The Character of Physical Law p.156

Grinnell, F. (2013). Research integrity and everyday practice of science. Science and Engineering Ethics, 19(3), 685-701. T

Harper, Douglas. "hypothesis". Online Etymology Dictionary.

Hilborn, Ray; Mangel, Marc (1997). The ecological detective: confronting models with data. Princeton University Press. p. 24. ISBN 978-0-691-03497-3. Retrieved 22 August 2011.

Kerlinger, P., & Lein, M. R. (1986). Differences in Winter Range among age-sex Classes of Snowy Owls Nyctea scandiaca in North America. Ornis Scandinavica (Scandinavian Journal of Ornithology), 17(1), 1–7. https://doi.org/10.2307/3676745

Mellor, Will. (2022). Qualitative vs. Quantitative Research — Here’s What You Need to Know. GLG. https://glginsights.com/articles/qualitative-vs-quantitative-research-heres-what-you-need-to-know/

Popper, Karl (1959). The Logic of Scientific Discovery (2002 pbk; 2005 ebook ed.). Routledge. ISBN 978-0-415-27844-7.

Research Directions in Humanities - BKNMU - Junagadh

 Research Directions in Humanities

Abstract: 

The video discusses possible research directions in humanities and literature, with a focus on the next five to ten years. The speaker highlights the need to adapt to the changing world and rethink traditional ways of looking at topics such as epidemics and digital culture. The speaker suggests that humanities research should consider the impact of pandemics, not just wars, on society and cultural memory. Additionally, the speaker discusses how digital culture is shaping our lives and the distinction between creative and generative literature. The video aims to inspire PhD scholars to think about their research topics and to become future research supervisors.

Detailed summary:

The video is about a seminar on the future of research in Humanities and literature, held at the BKNMU in Junagadh, India. The speaker starts by acknowledging the dignitaries on the dias, the research scholars and students of the masters or graduation who are going to make various presentations in the seminar. He then proceeds to discuss the possible futures of research in Humanities and literature.

He notes that multidisciplinary, interdisciplinary, and even transdisciplinary approaches are going to be buzzwords around this century. However, apart from that, what other things can be seen or visualized? Those who are PhD scholars may have already decided on their topic, but the speaker hopes that the ideas he presents may be useful to those who will be research supervisors in the future, and their students or somebody looking for guidance.

The speaker acknowledges that predicting what may happen in 20-25 years is nearly impossible, but he suggests looking at the possibilities in the coming five to ten years. He notes that the world is moving so fast that it's hard to predict, but there are some important things to consider.

One of the most significant issues to consider is the epidemic. The speaker notes that most of the documents on epidemiology or literature review on epidemiology predicted that a pandemic was possible, but they were more concerned with the third world countries than the first world. However, the pandemic has hit the first world more severely than the third world, and this requires a new way of looking at the situation. The speaker suggests that the way we remember wars is different from the way we remember epidemics, and this could be an interesting concern to look into.

The speaker also discusses digital culture, which is shaping our lives, thoughts, and philosophies. He suggests that the questions around digital cultures and digital Humanities are important to consider. One of the emerging distinctions is between creative literature and generative literature. The speaker notes that machines are developing algorithms that can write literature, and someday people may be researching poets who are robots. This distinction between machines generating literature and humans creating literature is an emerging concern that requires further questioning.

The speaker also touches on feminist discourse and how it is being transformed by digital culture. He suggests that there is a need to look at the poetics of digital culture and the feminist discourse in more detail.

In conclusion, the speaker suggests that there are many new and emerging directions in Humanities and literature research, and it is important to keep an open mind and embrace new ideas and approaches. He encourages the scholars to be curious, explore new fields, and be open to interdisciplinary and multidisciplinary approaches.

Video Recording:

Dissertation Writing

 

Research Project Writing: Dissertation Writing

Course Objectives:

The learning objectives for writing a dissertation can be organized using Bloom's Taxonomy, which categorizes educational goals into six levels:

1.       Remembering: recall relevant information from memory, such as key concepts and theories related to the dissertation topic.

2.       Understanding: comprehend the meaning of the information and how it relates to the dissertation topic.

3.       Applying: use the information to solve problems or make decisions relevant to the dissertation topic.

4.       Analyzing: break down the information into component parts and understand how they relate to each other and to the dissertation topic as a whole.

5.       Evaluating: make judgments about the value or quality of the information and its relevance to the dissertation topic.

6.       Creating: use the information to generate new ideas, designs or theories related to the dissertation topic.

For example, a dissertation on the impact of social media on political participation, the learning objectives could be:

1.       Remembering key theories of political participation

2.       Understanding how social media affects political participation

3.       Applying data analysis techniques to study the relationship between social media and political participation

4.       Analyzing the impact of social media on different groups' political participation

5.       Evaluating the strengths and limitations of existing studies on the topic

6.       Creating new hypotheses or theories about the relationship between social media and political participation.

For more examples, visit study material website > https://sites.google.com/view/maengmkbu2020/

 Description

 

Marks: 70 | Hours: 60 | Credit - 4

 

• The dissertation of 75 to 100 pages or 20,000 to 25,000 words shall be submitted to the University.

• The format of writing dissertation shall be as given below:

• Font Size: 16 - Main Title of the Chapter > 14 Sub-titles within the chapter > 12 for main content.

• Line Space: 1.5 line space.

• Print: On both sides of the pages

• Bind: Spiral 

• The dissertation shall be approved by the Department teacher/s and duly forwarded through the Head of the Department.

The evaluation of the dissertations shall be done by internal and external examiners similar to that of answer books of MA – English programme.

Internal evaluation in form of presentation shall be carried out at the Department in presence of the Head of the Department and/or concerned teacher / supervisor. 

 

Continuous Internal Evaluation

Presentation - 25 Marks

Seminar / attendance - 05 Marks

Written Test - 00 Marks

Note:

Integration of ICT for blog, presentation, video resources will be integral part of CIA. All works produced by the students for internal evaluation shall be presented as digital portfolio.

Course Specific Learning Outcome:

1.   Remember: Students will be able to recall key concepts, theories, and research methods related to dissertation writing.

2.   Understand: Students will be able to explain the purpose and significance of their research topic, as well as the research methods they plan to use.

3.   Apply: Students will be able to use appropriate research methods to collect and analyze data for their dissertation.

4.   Analyze: Students will be able to critically evaluate and interpret their data, and integrate it with existing literature to make original conclusions and recommendations.

5.   Evaluate: Students will be able to assess the limitations and implications of their research, and consider potential future directions for further study.

6.   Create: Students will be able to compose a well-written, coherent dissertation that effectively communicates their research findings and conclusions.

These course-specific learning outcomes focus on the cognitive process of dissertation writing and how students will be able to demonstrate their understanding of the subject matter, and the skills they've acquired by the end of the course.

Suggesting Reading List:

1. Film Adaptation of a Literary Text

2. Feminist Reading of a Literary Text

3. Eco-critical Reading of a Literary Text

4. Comparative Literature Studies

5.