Analytics operates at the intersection of educational measurement, massive data analysis, digital learning ecologies, and ethical philosophy. Intended to give voice to an emerging community, the journal is devoted to programs of research providing evidence of fair, reliable, and valid analytics. Dedicated to application, such multidisciplinary research will demonstrate its usefulness to educational stakeholders as they expand opportunities for diverse learners.
To advance this new area of research, we have provided detailed Author Guidelines for Advances in Statistical Computing and Graphical Techniques. Based on those guidelines, the categories below ask reviewers to make a series of analytic judgements on each section of the manuscript. After providing scores, reviewers are then asked to provide notes in which they justify and explain their assessment of the given section of the manuscript.
Publishing Recommendation
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Please select only one recommendation: |
Publish |
Publish with minor changes
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Revise and resubmit |
Reject
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Please briefly explain your decision: |
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Comment Category 1: Structured Abstract
The structured abstract (between 500 and 750 words) is categorized by subheadings to include identification of new methods, their exposition, their application, and directions for further research The abstract presents a comprehensive overview of the innovation in computing and graphic techniques under examination.
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Very Strongly Agree |
Strongly Agree |
Agree |
Disagree |
Strongly Disagree |
Very Strongly Disagree |
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6 |
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2 |
1 |
Notes on Structured Abstract:
Comment Category 2: Identification of Innovation
The identification of new methods section positions the innovation under examination and explains its significance. In doing so, this section includes information on the origin and development of the computing and graphic techniques under examination as well as the research capability of the innovation to advance writing analytics.
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Very Strongly Agree |
Strongly Agree |
Agree |
Disagree |
Strongly Disagree |
Very Strongly Disagree |
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6 |
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1 |
Notes on Identification of Innovation:
Comment Category 3: Exposition of Innovation
The exposition identifies the research gap that the new technique will bridge. Special attention should be paid to the exposition of the identified gap and the ways the innovation will solve existing computational and graphic challenges. Of particular importance here are specifics on techniques and their capabilities.
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Very Strongly Agree |
Strongly Agree |
Agree |
Disagree |
Strongly Disagree |
Very Strongly Disagree |
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6 |
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1 |
Notes on Exposition of Innovation:
Comment Category 4: Application of Innovation
The application section describes the usefulness of the innovation. Ideally, examples will be used with existing data sets so that readers will be able to quickly realize the force of the innovation. Methodology here is important so that other researchers may use the innovation on their own data.
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Very Strongly Agree |
Strongly Agree |
Agree |
Disagree |
Strongly Disagree |
Very Strongly Disagree |
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6 |
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1 |
Notes on Application of Innovation:
Comment Category 5: Directions for Further Research
Authors should conclude the manuscript with directions for further research that the innovation yields. Special attention should be paid to the principles that will guide future research.
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Very Strongly Agree |
Strongly Agree |
Agree |
Disagree |
Strongly Disagree |
Very Strongly Disagree |
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6 |
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3 |
2 |
1 |
Notes on Directions for Further Research:
Reviewer Notes
Please provide any additional integrative notes on the manuscript related to your publishing recommendation.