Peer Review History
| Original SubmissionNovember 9, 2021 |
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PONE-D-21-35650A Survival Analysis based Volatility and Sparsity Modeling Network for Student Dropout PredictionPLOS ONE Dear Dr. Pan, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please submit your revised manuscript by Mar 10 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
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Thank you for stating the following financial disclosure: “This research is supported in part by the National Natural Science Foundation of China (Grant No: 61762071), in part by Key-Area Research and Development Program of Guangdong Province (Grant No: 2020B0101130013) and in part by Baotou Teachers' College High Level Research Incubation Project (Grant No: BSYKJ2021-WY04).” Please state what role the funders took in the study. If the funders had no role, please state: "The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript." If this statement is not correct you must amend it as needed. Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: I Don't Know Reviewer #2: Yes Reviewer #3: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: No ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The article is a valuable and original scientific contribution, so I must congratulate the authors for their great work. However, it would be advisable to resolve some shortcomings before being published. 1- Research questions, that drive the paper, should be built in the introduction from an ongoing and pertinent bibliography (up to 2021). These should be of global interest and not focused to a particular local problem. Identifying a research gap is not enough; key is showing its significance to the field. 2- Answer your research question in the conclusions; what did we learn compared with current, significant research . 3- How general are your results? These have to be of interest to the whole community. Relate these with your limitations. . 4- In the conclusion section, the limitations of this study, suggested improvements of this work and future directions should be highlighted. 5- The research problem is not clear, and it needs to be supported and explained why the researchers did the research Reviewer #2: I am very grateful to the editor for inviting me to participate in the review of this research. I think this research is very interesting, and the authors have done as much analysis and results as possible, which is important. However, I have to point out that this research still needs to be revised, and the authors should ensure that the manuscript can be revised as well as possible before it can be considered for publication. Title. The authors study the dropout rate of online learning courses, so we should make it clear, otherwise it will be easily confused with traditional dropout rate. Abstract. Authors should focus their writing on the content of this study instead of spending a lot of time explaining the research reasons. Introduce. I think the authors should introduce the previous literature analysis in this research field, which can help readers to understand more intuitively why this research is meaningful, rather than the authors' independent explanation. In addition, how is Survival Analysis adopted as an effective method to solve this problem? For a simple example, Survival Analysis has been applied to similar fields and is considered effective. I think the authors can briefly explain it from this angle. The significance of this research is actually more credible than that of self-explanation. In the last paragraph of this part, this is the first time i saw this kind of structure introduction about the full text in the manuscript, and I suggest that the authors adopt experimental design or process to explain it. Related Works. I don't quite understand this expression adopted by the authors, which is consistent with the suggestions I put forward in my introduction. I think this part is more like a theoretical basis or a literature review. Specific authors can refer to the specific requirements of journals for revising the manuscript framework. At the same time, in this part, I only saw the introduction of three key words, but I didn't see in detail the collation and summary of the authors' previous research on these contents. I think this is very important, because it can highlight the importance and value of this research. Methods. I think that the authors' calculation of the model is OK, but what needs to be pointed out is that they are relatively weak in literal expression, which makes my reading of the whole calculation process not smooth. I suggest that the authors further sort out the logic of expression. Experiment. First of all, I need a serious description of this part, which means that it needs to be greatly revised. The authors are not clear about the source of the data. It is not advisable to introduce only some numerical values. Every step of the experiment needs to be explained clearly. At the same time, I realize that if it involves the examination of courses and students, whether this research has obtained the ethical review is very important for publishing, and it is the criterion that authors need to follow. If it is not involved, it needs to be clearly explained. Result. I actually agree with the authors' statements in the results section, but I still want to suggest whether the authors should incorporate other proven methods to further verify the accuracy of your research, because I personally don't think the existing sensitive analysis is enough to verify the reliability of the research. Conclusion. Maybe it's because of the space. I don't think the authors have done a good job in this part. I suggest that the authors elaborate on some suggestions of this study for reducing the dropout rate. That is, integrating and analyzing the findings of the existing research, the reality and the findings of this study will help to study the by going up one flight of stairs at the application level, and will also increase the readability of the whole manuscript. Finally, I appreciate the authors' research very much, but I hope you can make a good revision to ensure that your research can be published. Congratulations on doing a very good research. Reviewer #3: An interesting study, to investigate the issue of student dropout prediction in massive open online courses with a sound methodological approach. A discussion section should be added after results to elaborate the link of your findings with the prior literature. ********** 6. 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| Revision 1 |
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A Survival Analysis based Volatility and Sparsity Modeling Network for Student Dropout Prediction PONE-D-21-35650R1 Dear Dr. Pan, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Sathishkumar V E Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: No Comments The researchers made appropriate modifications to the article. The article in its current state is accepted for publication. I thank the efforts of the researchers. Reviewer #2: I appreciate that the authors were able to make a lot of changes based on the reviewers' comments. However, I don't see that all my previous suggestions have been revised by the authors. Another important point is that the authors should submit vector images, for example in png format when saving. The current images are still blurry and clearly not enough to meet the requirements for publication. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: usama mohamed ibrahem Reviewer #2: No |
| Formally Accepted |
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PONE-D-21-35650R1 A Survival Analysis based Volatility and Sparsity Modeling Network for Student Dropout Prediction Dear Dr. Ji: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Sathishkumar V E Academic Editor PLOS ONE |
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