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ERIC Number: EJ1409860
Record Type: Journal
Publication Date: 2023
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0110-6376
EISSN: EISSN-2253-2145
Training an AI Rover for Mars: Why and How?
Cathal Doyle; Stephen Ross; Cathy Buntting; Matt Boucher; Tanya Kotzé
set: Research Information for Teachers, n2 p41-48 2023
This article reports on a case study from a larger project exploring ways in which online citizen science projects can enhance students' learning in science and in digital technology. In this case, two teachers integrated the digital technology curriculum with the science capability "interpreting representations" using the engaging context of Mars. As part of the unit, the students contributed to the online citizen science project AI4Mars, did some unplugged computational thinking, and then transferred this learning to learning to program mBots. Our aim is to inspire others to plan curricula that integrate opportunities for developing students' science capabilities and their digital technology skills.
New Zealand Council for Educational Research. Level 10, 178-182 Willis Street, Wellington, New Zealand 6011. Tel: +64 4 802 1445; e-mail: subscriptions@nzcer.org.nz; Web site: https://www.nzcer.org.nz/journals
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Elementary Education; Grade 6; Intermediate Grades; Middle Schools; Grade 7; Junior High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: New Zealand
Grant or Contract Numbers: N/A