IDS UCLA
無料
4.0for iPhone, iPad and more
3.7
85 Ratings
University of California, Los Angeles
Developer
11.1MB
Size
2020年09月19日
Update Date
Education
Category
4+
Age Rating
Age Rating
IDS UCLA スクリーンショット
About IDS UCLA
IDS UCLA is a data collection tool. It provides mobile-based data capture through inquiry-based surveys and temporally triggered reminders. All captured data are automatically timestamped, geocoded and uploaded to a centralized ohmage server for analysis and visualization. IDS UCLA is fully functional without network connectivity and can run on multiple mobile phone platforms.
Through IDS UCLA students use mobile phones and web services to systematically collect and interpret data about issues important to them and their communities. The goal of IDS UCLA is to strengthen STEM instruction throughout our educational system and to develop innovative methods for educating and engaging students in computational thinking and data analysis.
The core lessons in the ohmage units will be framed around principles of Computational Thinking. Specifically, through Participatory Sensing campaigns, students will identify phenomena to study, consider "designs" for how data are to be collected, and rally the computational resources to execute their plans. Along the way they will grapple with questions related to the nature of data (its representation, formats and protocols for sharing) and of algorithms (rules governing data collection, strategies for analysis). Students will learn about classical themes in Computer Science, from databases to networking, as well as lessons in Statistics, from visualization to basic inference.
Through IDS UCLA students use mobile phones and web services to systematically collect and interpret data about issues important to them and their communities. The goal of IDS UCLA is to strengthen STEM instruction throughout our educational system and to develop innovative methods for educating and engaging students in computational thinking and data analysis.
The core lessons in the ohmage units will be framed around principles of Computational Thinking. Specifically, through Participatory Sensing campaigns, students will identify phenomena to study, consider "designs" for how data are to be collected, and rally the computational resources to execute their plans. Along the way they will grapple with questions related to the nature of data (its representation, formats and protocols for sharing) and of algorithms (rules governing data collection, strategies for analysis). Students will learn about classical themes in Computer Science, from databases to networking, as well as lessons in Statistics, from visualization to basic inference.
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最新バージョン 4.0 の更新情報
Last updated on 2020年09月19日
旧バージョン
Compatibility updates.
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Version History
4.0
2020年09月19日
Compatibility updates.
3.12.22
2020年09月16日
Custom servers can now be added.
1.0.1
2019年08月07日
Bug fixes and new servers added
1.0
2018年08月15日
IDS UCLA FAQ
ここをクリック!地理的に制限されているアプリのダウンロード方法をご参考ください。
次のリストをチェックして、IDS UCLAの最低システム要件をご確認ください。
iPhone
iOS 13.0以降が必要です。
iPad
iPadOS 13.0以降が必要です。
iPod touch
iOS 13.0以降が必要です。
IDS UCLAは次の言語がサポートされています。 英語