Artificial Intelligence and Machine Learning Approaches in Digital Education: A Systematic Revision
Cristina Maria Ribeiro Caridade
Round 1
Reviewer 1 Report
The paper suggests an automatic method for a systematic retrieval and revision process for a literature survey I the domain of digital (high) education.
The method is clearly described and precision and recall results support the proposed approach.
To enhance its originality and scientific impact, it would have been useful to start with a more general approach, and use the domain of digital education as a case study/test bed as compared to another – more general – domain. This would have augmented its interest to a more general audience.
A few examples of stylistic revisions are detailed as follows:
- line 5: The study --> This study (or The present study)
- lines 18-21: AI, ML .... advertising, as well as education sector [1-3
- line 22: things --> issues
- line 24: learning speed --> learning rate
- line 36: ?? designing engaging learning .. too much -ing forms
- line 40: ..ML method, it provides
- line 45: study makes --> study proposes
Author Response
Dear reviewer,
Please see the fixes and responses to the comments in the attachment.
\HM
Author Response File: 
Author Response.pdf
Reviewer 2 Report
This paper describes the systematic review study to explore in the literature the existence of AI-based approaches used in digital education. The main objective is to identify the themes and concepts around AI and which models based on ML or DL are most used in digital education.
The topic addressed here is very important and with a great interest in education today.
The paper is well organized and structured. The review was elaborated in a systematic and detailed way, focusing on the essential points. A paper that I enjoyed reading.
Some suggestions that can enrich the text are:
- Repetition of the word "However" in lines 63 and 64, 72 and 80, within the same paragraph.
- Some words are poorly hyphenated throughout the text.
- The word "Figure" appears with a capital letter but on line 162 it appears with a lowercase letter (uniform).
- On line 171, end with 2 dots as the data sources are being enumerated.
- Table 2 is outside the limits of the text. In the definition in each cell, put a period and always start with a capital letter.
- Item 3.4.1 and 3.4.2 should not be created, but only a description of the inclusion and exclusion criteria. They could even be presented in a table. A period is missing from the first include item.
-On line 260 put two points to describe the steps.
- In table 3, in some cells, the final point is missing.
- On line 274, remove the final point before the references.
- When defining acronyms, the letters that define the acronyms must be capitalized. For example, on line 275 where it says "Bayesian intelligent tutoring System (BITS)" it should say "Bayesian Intelligent Tutoring System (BITS)." Throughout the text there are many cases like this. Please correct.
- Throughout the text the same acronyms appear defined several times. The purpose of this definition is that we can always refer to them in the text without defining them again. Please correct.
- Repetition of the word "that" in the sentence of line 326-327.
- When referring to table A1 (line 362, 368) and table A.2 (line 402) add that they are in the annex.
- On page 14 put the names of the models by the acronyms.
- Line 390-392 has two repeated phrases.
- Define the acronym of MOOC (Massive Open Online Courses) on line 462.
- Fix in line 489, "leanring styles" by "learning styles".
- Fix on line 517, "eTeachinga" by "eTeaching"
- In reference [22] "Vol. 17, p.1" appears, which is not consistent with the other references.
Author Response
Dear reviewer,
Please see the fixes and responses to the comments in the attachment.
\HM
Author Response File: Author Response.pdf
Reviewer 3 Report
This paper shows current states of AI/ML on digital education by systematic survey. The research method is sound, so its results are reliable within the scope.
Minor comment:
“Digital Education” is the main keyword of this research, therefore it is better to describe the definition of digital education.
