- Presentation abstract発表の要約
The purpose of this presentation is to demonstrate and explore ways in which programming can be combined with Natural Language Processing (NLP) tools to quickly and easily create Moodle resources. NLP involves the use of computer programming to process written or spoken language. One purpose of NLP is to create models that will predict and categorize language according to a specific target variable. A programming language that is commonly used in this is Python, and there have been many tools designed in Python to assist in the creation of NLP models. However, these tools could also be repurposed to help create content that can easily be transferred into the Moodle environment. One such tool is spaCy, which, for example, has the ability to tag words by part of speech, enabling a user to instantly identify nouns, verbs, articles, etc.. in any given text. With a little bit of programming, this could then be used to quickly create activities, such as cloze quizzes for Moodle. This presentation will be of interest to Moodle users who are not only technically proficient, but also those who are curious about programming, NLP, and integrating these tools with Moodle.
- Original submission元の原稿
発表の題名: Using NLP Library (SpaCy) and Python to Create Moodle Resources
発表の種類: Presentation (20 mins) プレゼンテーション（２０分）
発表の言語: English 英語
発表のキーワード: NLP, Python, Moodle Resource, Programming
Natural Language Processing (NLP) involves the use of computer programming to process written or spoken language. One purpose of NLP is to create models that will predict and categorize language according to a specific target variable. A programming language that is commonly used in this is Python, and there have been many libraries designed to assist in the creation of models. These libraries are fairly simple to use, and come packaged with functions that could be repurposed to help create content that can easily be transferred into the Moodle environment. The purpose of this presentation is to demonstrate and explore ways in which programming can be combined with NLP libraries to quickly and easily create Moodle resources.
- Peer review details査読詳細
Peer Review 1
| Criteria | Assessment |
|---|
| Clarity of Submission | 5 / 10 |
| Presentation Length | 8 / 10 |
| Originality of Submission | 9 / 10 |
| Appropriateness & Relevance to the Moot | 9 / 10 |
| Quality of Content & Writing | 5 / 10 |
| Overall evaluation | 25 / 50 |
| 61 / 100 |
Feedback This is an innovative proposal and one that is unique to MAJ but the abstract needs a bit more detail. SpaCy is referenced in the title but nowhere in the abstract and it is not clear how SpaCy and Python are to be harnessed within the Moodle environment. Will this presentation discuss the creation of new Moodle plugins or are the tools to be introduced to be incorporated in some other way. Brushing up the abstract a bit will help those who may be interested in making decisions about whether or not to attend this presentation.
Peer Review 2
| Criteria | Assessment |
|---|
| Clarity of Submission | 10 / 10 |
| Presentation Length | 10 / 10 |
| Originality of Submission | 10 / 10 |
| Appropriateness & Relevance to the Moot | 10 / 10 |
| Quality of Content & Writing | 10 / 10 |
| Overall evaluation | 50 / 50 |
| 100 / 100 |
Feedback This type of presentation will be of interest to those interested in doing more with their Moodle installations. Hopefully, it will be accessible to people who aren't hard-core programmers.
Peer Review 3
| Criteria | Assessment |
|---|
| Clarity of Submission | 4 / 10 |
| Presentation Length | 8 / 10 |
| Originality of Submission | 8 / 10 |
| Appropriateness & Relevance to the Moot | 8 / 10 |
| Quality of Content & Writing | 8 / 10 |
| Overall evaluation | 40 / 50 |
| 76 / 100 |
Feedback This proposal is written for persons with a technical background. Basic Moodle users do not necessarily understand what is meant with the "libraries" that are mentioned, nor how they can apply it to their Moodle courses. The proposal could be written in a more general-audience oriented manner.
- Peer review notes査読メモ
Thanks for your submission!
Your proposal has been conditionally accepted.
- For this submission to be fully accepted, please make the requested changes to your abstract/presentation before 2022 Jan 22 (Sat) 23:55.
- When the changes have been made, they will be reviewed and you will be notified of the new acceptance status.