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Article
Peer-Review Record

Research into the E-Learning Model of Agriculture Technology Companies: Analysis by Deep Learning

by Chi-Hsuan Lin 1, Wei-Chuan Wang 2, Chun-Yung Liu 3, Po-Nien Pan 4,* and Hou-Ru Pan 5
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3: Anonymous
Submission received: 18 November 2018 / Revised: 28 December 2018 / Accepted: 30 December 2018 / Published: 13 February 2019
(This article belongs to the Special Issue Deep Learning Techniques for Agronomy Applications)

Round  1

Reviewer 1 Report

In the introduction, explain the relationship between Data Mining and Deep Learning

At the end of the introduction explain the organization of the article

Explin the relationship between e-learning, augmented reality, deep learning, information system success model, expectation confirmation theory, and theory of communicative action explained in the state of art

To include benefits of the use of RA in educaction. See:


Bacca, J., Baldiris, S., Fabregat, R., Graf, S., Kinshuk, 2014. “Augmented reality trends in education: a systematic review of research and applications. Educ. Technol. Soc. 17 (4), 133-149 http://www.jstor.org/stable/jeductechsoci.17.4.133

Radu, I. “Augmented reality in education: a meta-review and cross-media analysis” Pers Ubiquit Comput (2014) 18: 1533. https://doi.org/10.1007/s00779-013-0747-y

In fiure 3.1 instead of “Theory of Communicative” put “Theory of Communicative Action”

To include questionnarie designed

To explain with more details measurement tool designed (see 332)

In questionnarie designed, there are questions about AR and e-learning?


Author Response

Sorry for the delay. Thank you for your guidance and let us benefit a lot. We have made improvements to the points you have proposed.

Sincerely


Chi-Hsuan Lin

28 December, 2018


Author Response File: Author Response.docx

Reviewer 2 Report

Excellent study very useful for teachers and employers in the field of agriculture.

Perhaps I would recommend increasing the references in the introduction to compare with similar studies.


Author Response

Sorry for the delay. Thank you for your guidance and let us benefit a lot. We have made improvements to the points you have proposed.


Sincerely


Chi-Hsuan Lin

28 December 2018


Author Response File: Author Response.docx

Reviewer 3 Report

1.I consider that in the Literature review section the authors should refer to the use of DL and ML in the e-learning sector. They detailed the two concepts but did not refer to articles previously published in this topics(combination between ML, DL and e-learning).

2.Some problems with expressions that need to be changed are listed below:

line 66 - the expression the learner who learned (I suggest to be changed into the student/person who learned)

line 72 - this sentence is nonsense M-Learning is not only e-Learning but also mobile. Should be change or even erased as in the following paragraph M-Learning is explained.

line 100 - as it is not a title it should be more elaborated Two current definitions of Augmented Reality ... are presented below(for example).

Line 397 - 1. AR e-Learning by means of DL Deep Learning carries with successful model. (we suggest that the strikethrough text should be eliminated).

3.Below the tables(4-1,4-2, 4-3 and 4-4) and figures (3-1 and 4-1) it should be specified the source and, in the case of tables, the platform used (for example: Source of information: Author's projection in SPSS/R/RStudio).

The study, especially through the analysis and results part is very interesting and very elaborated. The authors should send it for a check to an English native person for improving the quality of expression. This way, the paper will be more readable and thus the valuable information included in the study will be more significant to the readers.

Author Response

Sorry for the delay. Thank you for your guidance and let us benefit a lot. We have made improvements to the points you have proposed.


Sincerely


Chi-Hsuan Lin

28 December 2018


Author Response File: Author Response.docx

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