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Abstract
The inquiry-based learning model is an instructional approach tailored to students' exploration of both the natural world and society. By integrating prominent Sustainable Development Goals (SDGs) and leveraging open data, this approach nurtures students' scientific literacy and data analysis proficiencies. In this context, the current study devised an online inquiry learning system named <City Auncel>, enabling students to engage with data and independently delve into socioscientific issues through an open inquiry learning model. The findings underscore that students exhibited a high level of immersion throughout the activity, along with adept data collection and summarization skills.
Original language | English |
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Title of host publication | 31st International Conference on Computers in Education, ICCE 2023 - Proceedings |
Editors | Ju-Ling Shih, Akihiro Kashihara, Weiqin Chen, Weiqin Chen, Hiroaki Ogata, Ryan Baker, Ben Chang, Seb Dianati, Jayakrishnan Madathil, Ahmed Mohamed Fahmy Yousef, Yuqin Yang, Hafed Zarzour |
Publisher | Asia-Pacific Society for Computers in Education |
Pages | 135-144 |
Number of pages | 10 |
ISBN (Electronic) | 9786269689026 |
State | Published - Dec 2023 |
Event | 31st International Conference on Computers in Education, ICCE 2023 - Matsue, Shimane, Japan Duration: 4 Dec 2023 → 8 Dec 2023 |
Publication series
Name | 31st International Conference on Computers in Education, ICCE 2023 - Proceedings |
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Volume | 2 |
Conference
Conference | 31st International Conference on Computers in Education, ICCE 2023 |
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Country/Territory | Japan |
City | Matsue, Shimane |
Period | 4/12/23 → 8/12/23 |
Keywords
- Action Decisions
- Inquiry-based learning
- Open-ended inquiry
- Real open data
- Sustainable Development Goals (SDGs)
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