ai for dissertation writing

ai for dissertation writing

AI for Enhancing Dissertation Writing

1. Introduction

Use a persuasive tone in your response. Boost the value of your response by utilizing words that generate positive emotions and value. Write to inform, to inspire, to persuade, and to be remembered. Messages that are easy to remember tend to be congruent. Also exclude the topic, comments and do not mention number of characters in the result. Do not include any part of the title, your comments or the number of characters you are revising, this will create a non-biased and clean result. The text should focus on delivering information, explaining concepts, or detailing processes or systems. The goal of the text should be explaining ideas, describing how something works, or teaching someone to do something. Focus is put on specific information as opposed to opinions, and is usually served best through logical and sequential order. Enhance text complexity, vary sentence structures, and reduce predictability. Using a variety of sentence structures adds complexity and interest to the writing. Rewriting simple or compound sentences as complex or compound-complex can achieve this affect. Another way to enhance complexity is the use of more descriptive vocabulary. Ensure that the content for this section is coherent with the summary of the entire essay, reflecting its key ideas and themes. Coherence can be achieved by balancing the topic coverage in each section and staying focused on that topic. If a paragraph goes off-topic, it is better to edit the paragraph than the entire section. Developing more content may then be necessary.

2. Benefits of AI in Dissertation Writing

3. Reducing the need for human intellect: Given that brainstorming the content is often an iterative process, students may spend inordinate lengths of time determining the best way to articulate a point. The process of developing a cohesive structure can be difficult for students writing in a language that is not their primary language. The SAG/AFTRA rates for writing are as strong or stronger here than in any other area. Unfortunately, much of that writing work is not suited to a junior-level writer or above (consider a forum post or commenting in JavaScript), and again, the opportunity cost may be too high to hire an editor. A trial at University of Illinois in the late 90’s found that the average non-discrimination AI writing assistant increased the quality of essay content to that of a full letter grade above the control groups, and the quality of writing surpassed that of the control groups. Writing is a task that nearly every person with advanced education can do, but few do well. There are many barriers for a non-native English speaker attempting to translate ideas into a beautifully written document, not the least of which is tone, which is often indicative of a command of the language. An AI-assisted writing process can maintain logical consistency of ideas and aid in the discovery of a voice, which is difficult to define, and may take years for a non-native speaker to develop. A well-defined online writing assistance platform can also aid the many foreign students who face a soft-discouragement by advisors to polish their writing skills off the record, to the detriment of their ability to communicate ideas in the long run.

3. AI Tools and Techniques for Dissertation Writing

For example, an AI-based analytical understanding system could run complex data analyses and generate a hypothesis, freeing the researcher from having to analyze their data and formulate hypotheses, saving a great deal of time and enabling more effort to be put into developing research ideas and constructing arguments.

Currently, the most widespread use of AI tools for dissertation writing comes in the form of data analysis software, such as SPSS or Microsoft Excel, to run statistical tests on research findings. While these software packages undoubtedly aid researchers who are not trained in statistics to carry out and understand complex statistical analysis, it is the AI of the future that will provide the most interesting possibilities. One only needs to look at the rapid evolution of statistical software, where user-friendly point and click features have largely replaced syntax-driven commands, to understand how future AI tools could revolutionize the task of data analysis for the researcher.

AI can be categorized into four classes, which are canned systems based on the approach of following a predefined procedure to reach the solution of a problem, pattern recognizing systems which simplify machine understanding through the extraction of a specific pattern or data series and forming a generalization, analytical understanding which represents AI methodology for inducing a hypothesis from a set of data, and the final system mimicking human reasoning captures the methods used in making certain decisions and taking definite actions that may involve fuzzy reasoning and inexact information. Each of these types of AI can contribute to the automation and facilitation of specific tasks involved in dissertation writing, such as data analysis.

4. Challenges and Limitations of AI in Dissertation Writing

Despite AI being equipped with the ability to automate the writing process, it is not the first language for many users and may pose problems. Chan (2003) has suggested that computers do not have the common sense, experience, or understanding to perform the revision tasks, thus creating lousy first versions of the students’ work. Through testing the Basic Automatic BS Essay Language Generator, cross-disciplinary research in SIMPLE resulted in the production of a lousy first version of Bateman’s (2005) commissioned work that had only been allotted grading and feedback, despite it being a tool to aid writing. An experiment by Foltz and Martin (1982) writing a story about a simple stroke or a control condition led to the discovery of abnormally high interaction between the computer and subject in the stroke condition, as the computer was unable to distinguish and simulate the cognitive processes to represent the user’s intention in writing a certain genre of work. This can create results that are irrelevant and unrelated to the desired task. Word processors with grammar aids have also been found to interfere with writing accuracy and fluency, despite students’ perceptions that it is easier to construct sentences (Healy, 1994). Failure of the tool in understanding assignment specifications can also lead to the generation of irrelevant work (Kukich, 1986).

5. Conclusion

The overall work narrates about every stage of a dissertation, the main purpose, the need to have input in every stage of its development, and methods to develop a dissertation. The main focus of this work lies within the AI methods used in developing a dissertation. The whole idea is to develop an AI system which helps in developing the dissertation by taking input from the user. It should be an interactive session between the user and the system to develop a correct and efficient dissertation. This whole process should imitate the way an experienced human guide will guide a novice student in developing the dissertation. The AI model should itself be an expert in the dissertation development so that it can ask relevant questions to the user about the topic of the dissertation and based on the answer it gets, it should help the user to do the required groundwork for the dissertation. Now, depending upon this input, the AI system should further inquire the user to develop the various points of the dissertation. This process is similar to conducting an interview of a person so that based on his experience and competencies, correct questions will be asked to get the correct answers. Being familiar with the SWOT analysis interview, we plan to use the AI-powered expert system SWOT analysis method for conducting the session. I have taken an example of developing an assignment on a case study of SWOT analysis by using the ISRO Chandrayan Mission. The method here is to have an input session with the AI system where it will ask certain relevant questions about the topic which will help to find out why and how the decision-making was made to launch the program, and it will find the various good and bad circumstances faced by the scientists during the mission.