[Inteligencia Artificial y Gamificación Personalizada-Adaptativa para la Formación en Programación] Website of the project
This project is supported by the National Fund for Innovation and Scientific and Technological Development (FONDOCyT for its acronym in Spanish) from the Ministry of Higher Education, Science, and Technology of the Dominican Republic (FONDOCYT 2022-3A1-112), and is in collaboration with the Universidad Nacional Pedro Henríquez Ureña (UNPHU) and the Asociación para la Creatividad, Innovación, Emprendimiento y Networking (A100%) from the Dominican Republic.
The project aims to explore the implementation of Machine Learning algorithms in a gamified educational application to personalize its game elements and adapt its pedagogical content. The application will focus on helping its users learn to program using Python since Python Software Developers are among the most in-demand emerging professions. The application will implement Machine Learning algorithms to offer optimal scaffolding learning to students. This is by implementing interactive and individualized content capable of adapting to the level of knowledge and learning pace of the users. Nevertheless, the positive effects of an intelligent learning system on the learning of its users depend directly on their level of engagement and motivation. An effective method to increase user engagement and motivation in learning applications is by using gamification. Unfortunately, gamifying an application does not ensure that it will motivate all its users since the preference for game elements differs significantly between individuals. Therefore, to maximize the motivation of the users, this proposal seeks to leverage Recommendation Systems to personalize its game elements.
 Apps Reviews Scrapping
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This project allows you to gather reviews from any app that is found on Google Play or AppStore. It lets you choose multiple options, from gathering specific number of reviews, to specify the rating of desire from the app. The google collab grants you via forms, a visual cue of how the reviews are gathered and are saved specifically.
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Apps Reviews Sentiment
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This notebook allows you to get the sentiment (positive, negative or neutral) of the reviews that were scraped stored on the repo, in both Spanish or English. The interactive colab forms provides visual indicators of what reviews are analyzed.
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Apps Reviews NER
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This notebook allows you to perform NER (Name Entity Recognition) analysis on the reviews that were scraped stored on the repo. The interactive colab forms provides visual indicators of what reviews are analyzed.
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Bigram Networks
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This notebook allows you to plot the bigram networks of reviews per app and overall, either with the entire review text or the NER tags. There are visual indicators of the frequency of the bigrams (as the width of the edges) and the average sentiment of the reviews the bigrams appear in (as the color of the edges).
This is a example of the "intro page" for the app and study itself (v 3_26_23)
Screencast.from.04-07-2023.11.55.59.AM.webm
Lesson 1 Complete
Video_Pedagogical_Question_Lesson1_Complete.webm
Lesson 2 Complete
Video_Pedagogical_Question_Lesson2_Complete.webm
how-to-clone-repository-and-use-it-made-with-clipchamp-1_z8fMJc5I.mp4
Steps for use/execute the apps
Must have git installed.
1- Clone the repository.
1.1 - Go to Github and sign up
1.2 - Search for the repository by: lopezbec / Then: AI_Gamification_Python
1.3 - Go to the '<> Code' Button (Green)
1.4 - Coppy the HTTPS link
1.5 - Create a folder, or go to the path you want to clone the repository (Must be a clear folder, i suggest a new one)
1.6 - Open a cmd in the folder
1.7 - Clone the repository by typping this comand: Git clone https://github.com/lopezbec/AI_Gamification_Python.git
2- Go to the folder named 'Elmer'
3- Go to the folder named 'Daniel_JSON_Files_Elmer'
There you will see all the leasson we have at the moment. You can select whichever you want and open the file named: Main_Lesson_#.py then execute that code.
1- Go to the folder named 'Elmer'
2- Go to the folder named 'Daniel_JSON_Files_Elmer'
2- Go to the folder named 'dist'
3- click in the Main_Modulos_Intro_Pages.exe
The first window will open with the same abstract that you read at the beginning of the README.
The team has collected online reviews from users of similar educational gamified applications in Google Play and Apple App Store (using the Google Play and Apple Store App Reviews Scrapping notebook above). This with the objective to gain a better understanding of what makes some apps “better” than other. Some summary statistics of the reviews are shown below.
English Reviews
Combined Reviews
| Name | ReviewCount | AverageRating | AverageReviewLength | EarliestDate | LatestDate | PositiveReviewProportion | NeutralReviewProportion | NegativeReviewProportion | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | codeacademy | 3573 | 3.75679 | 88.5665 | 2018-08-01 01:33:12 | 2023-03-24 22:07:12 | 0.625245 | 0 | 0.374755 |
| 1 | datacamp | 7719 | 4.47882 | 76.3687 | 2017-10-18 11:23:14 | 2023-03-24 21:09:12 | 0.832621 | 0 | 0.167379 |
| 2 | encode | 2045 | 4.63081 | 91.7667 | 2016-03-13 23:11:32 | 2023-03-19 01:47:34 | 0.866504 | 0 | 0.133496 |
| 3 | learn-python-programiz | 4814 | 4.65351 | 60.8224 | 2019-08-22 19:39:09 | 2023-03-25 13:34:31 | 0.860823 | 0 | 0.139177 |
| 4 | mimo | 88724 | 4.53408 | 63.3281 | 2016-08-19 21:15:07 | 2023-03-25 15:45:02 | 0.8589 | 0 | 0.1411 |
| 5 | programming-hero | 16538 | 4.78069 | 57.101 | 2018-11-28 09:32:14 | 2023-03-25 14:57:48 | 0.899202 | 0 | 0.100798 |
| 6 | programming-hub | 49549 | 4.58268 | 60.9303 | 2013-07-31 05:45:19 | 2023-03-25 14:57:25 | 0.855638 | 0 | 0.144362 |
| 7 | sololearn | 132553 | 4.71747 | 61.8852 | 2016-10-26 02:56:32 | 2023-03-25 16:36:13 | 0.904174 | 0 | 0.0958258 |
Google Play Store Reviews
| Name | ReviewCount | AverageRating | AverageReviewLength | EarliestDate | LatestDate | PositiveReviewProportion | NeutralReviewProportion | NegativeReviewProportion | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | codeacademy | 3100 | 3.84613 | 70.2368 | 2018-08-02 08:35:59 | 2023-03-24 00:51:56 | 0.657419 | 0 | 0.342581 |
| 1 | datacamp | 7378 | 4.4958 | 69.9044 | 2017-10-18 11:23:14 | 2023-03-24 21:09:12 | 0.838439 | 0 | 0.161561 |
| 2 | encode | 1861 | 4.65395 | 77.0645 | 2016-03-13 23:11:32 | 2023-03-19 01:47:34 | 0.875873 | 0 | 0.124127 |
| 3 | learn-python-programiz | 4728 | 4.65609 | 59.3101 | 2021-02-19 03:24:40 | 2023-03-25 13:34:31 | 0.86231 | 0 | 0.13769 |
| 4 | mimo | 86724 | 4.54521 | 59.2171 | 2018-05-02 03:23:09 | 2023-03-25 15:45:02 | 0.864075 | 0 | 0.135925 |
| 5 | programming-hero | 16407 | 4.78308 | 56.6918 | 2018-11-28 09:32:14 | 2023-03-25 14:57:48 | 0.900104 | 0 | 0.0998964 |
| 6 | programming-hub | 48682 | 4.58751 | 59.5454 | 2013-07-31 05:45:19 | 2023-03-25 14:57:25 | 0.857812 | 0 | 0.142188 |
| 7 | sololearn | 130851 | 4.72481 | 59.9274 | 2016-10-26 02:56:32 | 2023-03-25 16:36:13 | 0.907253 | 0 | 0.0927467 |
Apple Store Reviews
| Name | ReviewCount | AverageRating | AverageReviewLength | EarliestDate | LatestDate | PositiveReviewProportion | NeutralReviewProportion | NegativeReviewProportion | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | codeacademy | 473 | 3.17125 | 208.279 | 2018-08-01 01:33:12 | 2023-03-24 22:07:12 | 0.414376 | 0 | 0.585624 |
| 1 | datacamp | 341 | 4.11144 | 215.642 | 2017-10-19 13:14:06 | 2023-03-14 15:45:30 | 0.706745 | 0 | 0.293255 |
| 2 | encode | 184 | 4.39674 | 239.424 | 2017-02-07 21:05:43 | 2023-02-01 20:04:49 | 0.771739 | 0 | 0.228261 |
| 3 | learn-python-programiz | 86 | 4.51163 | 143.442 | 2019-08-22 19:39:09 | 2023-03-19 22:12:10 | 0.77907 | 0 | 0.22093 |
| 4 | mimo | 2000 | 4.0515 | 240.35 | 2016-08-19 21:15:07 | 2023-03-24 18:02:54 | 0.6345 | 0 | 0.3655 |
| 5 | programming-hero | 131 | 4.48092 | 108.122 | 2020-03-17 13:17:39 | 2023-03-22 16:03:50 | 0.78626 | 0 | 0.21374 |
| 6 | programming-hub | 867 | 4.31142 | 137.641 | 2015-12-10 13:33:31 | 2023-03-19 00:52:42 | 0.733564 | 0 | 0.266436 |
| 7 | python-x | 19 | 4.26316 | 302.737 | 2021-05-15 16:09:45 | 2023-01-07 08:25:53 | 0.66745 | 0 | 0.33255 |
| 8 | sololearn | 1702 | 4.15335 | 209.387 | 2017-10-25 19:25:02 | 2023-03-25 13:26:02 | 0.414376 | 0 | 0.585624 |
Spanish Reviews
Google Play Store Reviews
| Name | ReviewCount | AverageRating | AverageReviewLength | EarliestDate | LatestDate | PositiveReviewProportion | NeutralReviewProportion | NegativeReviewProportion | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | codeacademy | 141 | 4.04255 | 78.0426 | 2019-05-05 02:40:44 | 2023-03-21 19:53:03 | 0.567376 | 0.219858 | 0.212766 |
| 1 | datacamp | 389 | 4.65553 | 87.1208 | 2018-01-27 02:54:15 | 2023-05-01 16:35:48 | 0.786632 | 0.125964 | 0.0874036 |
| 2 | learn-python-programiz | 28 | 4.32143 | 92.4643 | 2020-01-04 15:02:16 | 2023-04-18 23:24:33 | 0.642857 | 0.321429 | 0.0357143 |
| 3 | mimo | 9253 | 4.38085 | 85.0695 | 2018-06-22 22:18:37 | 2023-05-07 13:09:01 | 0.667891 | 0.219929 | 0.11218 |
| 4 | programming-hero | 221 | 4.52489 | 97.7738 | 2019-02-16 00:40:53 | 2023-04-10 06:35:09 | 0.728507 | 0.167421 | 0.104072 |
| 5 | programming-hub | 1633 | 4.2572 | 90.6852 | 2014-01-12 19:12:51 | 2023-05-06 04:27:37 | 0.613595 | 0.272505 | 0.113901 |
| 6 | sololearn | 28876 | 4.75121 | 77.0749 | 2016-10-26 07:25:37 | 2023-05-07 06:32:18 | 0.809877 | 0.140047 | 0.0500762 |