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Article
Peer-Review Record

A Study on the Learning Early Warning Prediction Based on Homework Habits: Towards Intelligent Sustainable Evaluation for Higher Education

Sustainability 2023, 15(5), 4062; https://doi.org/10.3390/su15054062
by Wenkan Wen 1, Yiwen Liu 1,2,3,*, Zhirong Zhu 1 and Yuanquan Shi 1,2,3
Reviewer 1:
Reviewer 3: Anonymous
Sustainability 2023, 15(5), 4062; https://doi.org/10.3390/su15054062
Submission received: 6 December 2022 / Revised: 13 February 2023 / Accepted: 21 February 2023 / Published: 23 February 2023
(This article belongs to the Collection Technology-Enhanced Learning and Teaching: Sustainable Education)

Round 1

Reviewer 1 Report

Full Title: Online Platform Process-Oriented Prediction Model for Higher Education: Towards Intelligent Sustainable Evaluation

Objective: The present study aimed to educational data mining techniques to analyze students’ homework data, use the proposed algorithm to extract homework habit features, and construct a model based on learning habits to evaluate students’ sustainability process.

The manuscript was well-written and methodologically sounds well. However, there are some minor issues that need to be addressed:

1.      First of all, author(s) should check English. I suggest the authors to proofreading their text. There are many minor mistakes (e.g., in Table 2; in lines 201, 276, 285). Different font type or size was used in figures and the text.

2.      The authors should connect between their theoretical background and research design or model. Specifically, identify more literature that is (more) relevant for their predictive factors.

3.      Please list and explain the features (dependent and independent variables) of the students’ sustainability process prediction model. Provide description of the data set in the Method section.

4.      Providing a predictive model in a figure (TIFF images with minimum 300 dpi) showing the relationships between study variables would be better.

5.      Provide descriptive statistics (f, %) about the classes of the dependent variable (students’ sustainability).

6.      Likewise, provide descriptive statistics (means, SD) about the features or attributes (independent variables) of the model.

7.      Provide classifiers’ performance indicators (CCI, TP Rate, FP Rate, Precision, Recall, F-Measure, MCC, ROC Area) in a table.

8.      Provide Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Matthew’s Correlation Coefficient (MCC) values for each model. RMSE is a quadratic metric that measures the size of the error that is often used to find the distance between the predicted values and the observed values of the estimator. Therefore, it is important to report RMSE to properly assess the performance of the model.

 

9.      Please conduct a sensitivity analysis to identify the most important input factors.

Author Response

Please see the attachment.

 

Author Response File: Author Response.pdf

Reviewer 2 Report

Improve the connections between sentences, for example in the summary: "avoiding asking for help; and dominant in all the discourses was", the verb and subject are misplaced.

In Keywords, use words from the corresponding thesaurus, IEEE, UNESCO.

Page 1, in the first paragraph, you must continue to use the citation format, and not mix with another one like the example of "been learnt (Lauristin et al., 2020))".  Check the use of the IEEE format if it is the one you have been asked to use.

Página 4, segundo párrafo, mejorar la redacción "As the current article also derives from the DigiGen project (DigiGen (The impact of technological transformations on the digital generation)"  with the use of double parentheses.

Page 5, the format of the figure is too large, it should be proportional to the space.

Page 6, table 1, should be adjusted.

Page 8, the format of the figure is too large, it must be proportional to the space.

 

Author Response

Please see the attachment.

 

Author Response File: Author Response.pdf

Reviewer 3 Report

I revised the manuscript entitled “Online Platform Process-Oriented Prediction Model for Higher 2 Education: Towards Intelligent Sustainable Evaluation”. The topic is interesting to teachers in higher education and curriculum planners. The study aims should be better described. The methods are adequately presented, however, the results and discussion needs to be improved and more focused on the objectives and results of the study. The discussions are too speculative and should be fine-tuned on study results. In addition, there are several English mistakes.

I do believe this paper is suitable for publication pending major revisions.

Below you can see my specific comments:

Regarding the title, it is not clear what the number 2 in the title means, please explain

Introduction:

Line 30-35 I would recommend you also to take in consideration the use of online resources during the covid or before. It is fundamental to be based on some analytic studies such as systematic reviews/ meta-analysis since they to a screening process of all the papers published regarding the topic. Recently I came across a paper that I suggest you to include in your paper: 10.3390/educsci12080573

Line 90- The author names should be placed instead of the article. Please verify and adapt for the rest of the manuscript.

Lines 98-99- You stated that studies have shown, but you refer only to one study. Please add which studies have shown or paraphrase the sentence.

Line 103- The author names should be placed. Please verify and adapt for the rest of the manuscript.

Lines 107-108 Please specify the students characteristics that affect the motivation.

Line 108- I would rephrase the sentence, for example “Several studies have demonstrated that…..”

Line 119. The study aim should be better highlighted, For example, “The present study aims to use ……”

Methods:

Lines 125-126 it is not clear. Please specify it better

Lines 138-139- In my opinion since it is a scientific paper the student data should be described more adequately, For example, mean age, standard deviation. Therefore, it would be better to rephrase these lines.

Line 141-142 What do you mean with “Students have a larger number of students than in other courses”? It is unclear. Please revise the entire sentence.

Line 144-145, The sentence is unclear. How do students generate the data? It is more correct to say: “A large amount of learning log data was generated by the students log in.”

Line 146- The word data has a lot of repetition, please consider using more synonyms or rephrasing the sentences in order to be more easy to understand by the readers.

Line 153- Please add appropriate description of the table 1 and remove the word learner inside the table… Instead of Learner Gender-  Gender…. Please verify and adapt for the rest of table 1.

 

 

Results and Discussion

The results are hard to follow, they should be explained in a more concrete and easy line. I would recommend the authors to revise the entire paragraph.

Line 274. Please rephrase it better, it does not sound well.

Line 276, add a point or a comma. Please check and adapt for the rest of the manuscript.

Line 285. Please start the sentence with uppercase (Degree)

Line 288. Please rephrase the sentence. It repeats, it can be improved.

Line 290- You state due to a number of things, it is unclear, please specify.

Line 342-344- Please add the appropriate references

Line 346- 356. This part is unclear, too much repetition. Please revise the entire paragraph. Moreover, the discussion is too generalised, you should be more focused on your results.

Line 357-364. I would add a specific session in the paper for example “Practical Implications” where you can put the recommendations of your study, based on your results.

Conclusions

Review, the conclusions come to be a summary of the most important that is deduced from the discussion, or an extension of the same returning to affect identical points. As the discussion was based on generalizations and not on the results obtained, the conclusions remained as generalizations. It is recommended to draw on the results data for the discussion and then make the related conclusions.

Ethical statement

Did you consider the ethical approval request near your institution? Otherwise please consider it acceptable to specify why it was not deemed appropriate to request it.

Author Response

Please see the attachment.

 

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors have addressed all of my comments.

Author Response

Thank you again for your suggestions for our articles.

 

Reviewer 3 Report

Dear authors, the paper improved a lot, I have only one minor concern in the attached file, please fix it

Comments for author File: Comments.pdf

Author Response

Thank you for your suggestion, I have revised the article as you requested.

 

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