Artificial Intelligence in Higher Education: A Predictive Model for Academic Performance
Round 1
Reviewer 1 Report
Appreciate the authors for taking up this work which enables them to enhance their academic performance using AI tools. The research was to understand and improve the academic performance of students of higher education using artificial intelligence. Data collection, tools used and methodology are good. Having said that the authors need to address the below-given comments.
Q1. X-axis and Y-axis labels are missing in Figures 1-4
Q2. Discussion of the paper may be improved by inferring more from figures 1-4.
Q3. The questionnaire mentioned in section 2.4 gives only the outline of the type of questions. List the questions in section 2.5.
Q4. Have the authors considered the resources as part of the questionnaire?
Q5. Various variables such as age, hours, days, and tools seem to be influencing academic performance. Appreciate the analysis. Having said that could you also identify those tools that are listed by the participants?
Q6. The above information is necessary, I feel, as it is an indicator of academic performance. Also, the readers may be able to infer their contextual situation. Tools could be technological, statistical, etc.
Q7. Appreciate authors for the tools used in the paper such as Gretl version 1.9.4. This software needs to be explained for the sake of readers.
Q8. This paper requires to be validated with the models that were published earlier.
Author Response
Dear Reviewer,
We sincerely appreciate your insightful comments, which have been instrumental in enhancing the quality of our article. We have made the necessary corrections based on your recommendations and remain open to any further feedback.
Thank you deeply for your time and dedication.
Warm regards,
The authors.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
First of all, congratulations to the authors for their work. The text is clear, easy to understand and easy to follow. Artificial Intelligence is a current and very necessary subject for the scientific community, so its interest is high. It is also beginning to be a problem for many in academia. Studies like this one can help to understand its complexity.
Here are some suggestions for improvement for publication:
In the methodology section I would include access to the questionnaires used, in order to be able to replicate the research in other contexts.
Figures 1, 2 and 3 are not explicitly mentioned in the text. It is recommended not only to mention them but also to help in the reading and interpretation.
In line 206 there is an appreciation of gender that borders on subjectivity, I would delete this line and leave it as a discussion which is in line 299.
The conclusions lack limitations and prospective of the study.
I have found a systematic review of the literature but not with direct reference to Artificial Intelligence, it is recommended to use one to support the importance of the study.
Finally, I would check the entire text for typos, such as in line 140 "cur-rent", or expressions not understandable in native English.
Once again, my congratulations.
I would check the entire text for typos, such as in line 140 "cur-rent", or expressions not understandable in native English.
Author Response
Dear Reviewer,
We sincerely appreciate your insightful comments, which have been instrumental in enhancing the quality of our article. We have made the necessary corrections based on your recommendations and remain open to any further feedback.
Thank you deeply for your time and dedication.
Warm regards,
The authors.
Author Response File: Author Response.pdf
Reviewer 3 Report
In summary:
The research design and methods are clearly stated.
However, the specific research questions or hypotheses need more clarity.
Some sentences should be written more clearly.
Author Response
Dear Reviewer,
We sincerely appreciate your insightful comments, which have been instrumental in enhancing the quality of our article. We have made the necessary corrections based on your recommendations and remain open to any further feedback.
Thank you deeply for your time and dedication.
Warm regards,
The authors.
Author Response File: Author Response.pdf
