3:00 PM - 3:15 PM
[G02-06] Development of an Educational Program Using AR Based on Data from Candidate Landing Sites for the Lunar Polar Exploration Mission (LUPEX)
Keywords:Museum, AR, Lunar Polar Exploration, Educational Program
Development of an Educational Program Using AR Based on Data from Candidate Landing Sites for the Lunar Polar Exploration Mission (LUPEX)
The Gifu-Kakamigahara Air and Space Museum (Sorahaku) has been conducting joint research with the Graduate School of Media and Arts Sciences (IAMAS) on an educational program utilizing Augmented Reality (AR) technology since the spring of 2024. This research focuses on the synergy between AR technology, which allows users to view remote locations from an aerial perspective, and space exploration, with the goal of developing experiential AR content themed around space.
In this study, we aim to provide deeper learning opportunities by developing and introducing AR content that uses the selection of candidate landing sites that researchers are currently considering as the theme for a workshop on the latest lunar exploration, which is aimed at upper elementary school students and junior high school students up to their second year. Specifically, we developed an educational program that uses AR content to realize the experience of actually walking around the lunar polar regions and selecting candidate landing sites, and we implemented it in the workshop and analyzed and disgussed the results of the questionnaire given to the participants in order to evaluate it.
The data used for the AR content regarding landing site candidates was referenced from the Lunar Polar Exploration Mission (LUPEX) project landing site selection status (Inoue and Ohtake, 2023), from which six landing sites were selected and terrain data was obtained. The terrain data was displayed on AR as a 4m x 4m square for each site, further subdivided into four 2m x 2m sections. Parameters such as sunlight conditions, communication status, and hydrogen concentration—critical for selecting landing sites—were assigned values close to the actual ones. These landing candidates were arranged in a rectangular space of 12m x 8m, with 3 rows and 2 columns of 4m x 4m squares. Participants held tablets with AR content installed and walked through the space, examining the terrain and the key parameters to choose the most suitable landing site.
To evaluate the effectiveness of the educational program, a survey was conducted among 31 participants. The survey results were analyzed and discussed through text mining. The text mining analysis was performed using the AI Text Mining Tool, a free online software provided by User Local (https://textmining.userlocal.jp/).
The survey results revealed that all participants had positive feedback, such as describing the experience as “fun” when utilizing AR. Furthermore, the text mining analysis showed a high frequency of key terms such as “sunlight conditon” and “hydrogen concentration,” which are crucial when considering landing sites, suggesting that the AR content effectively facilitated learning.
Acknowledgments: We would like to thank Hiroka Inoue and Takeshi Hoshino of the Japan Aerospace Exploration Agency (JAXA) for their cooperation in handling and providing data for this research.
The Gifu-Kakamigahara Air and Space Museum (Sorahaku) has been conducting joint research with the Graduate School of Media and Arts Sciences (IAMAS) on an educational program utilizing Augmented Reality (AR) technology since the spring of 2024. This research focuses on the synergy between AR technology, which allows users to view remote locations from an aerial perspective, and space exploration, with the goal of developing experiential AR content themed around space.
In this study, we aim to provide deeper learning opportunities by developing and introducing AR content that uses the selection of candidate landing sites that researchers are currently considering as the theme for a workshop on the latest lunar exploration, which is aimed at upper elementary school students and junior high school students up to their second year. Specifically, we developed an educational program that uses AR content to realize the experience of actually walking around the lunar polar regions and selecting candidate landing sites, and we implemented it in the workshop and analyzed and disgussed the results of the questionnaire given to the participants in order to evaluate it.
The data used for the AR content regarding landing site candidates was referenced from the Lunar Polar Exploration Mission (LUPEX) project landing site selection status (Inoue and Ohtake, 2023), from which six landing sites were selected and terrain data was obtained. The terrain data was displayed on AR as a 4m x 4m square for each site, further subdivided into four 2m x 2m sections. Parameters such as sunlight conditions, communication status, and hydrogen concentration—critical for selecting landing sites—were assigned values close to the actual ones. These landing candidates were arranged in a rectangular space of 12m x 8m, with 3 rows and 2 columns of 4m x 4m squares. Participants held tablets with AR content installed and walked through the space, examining the terrain and the key parameters to choose the most suitable landing site.
To evaluate the effectiveness of the educational program, a survey was conducted among 31 participants. The survey results were analyzed and discussed through text mining. The text mining analysis was performed using the AI Text Mining Tool, a free online software provided by User Local (https://textmining.userlocal.jp/).
The survey results revealed that all participants had positive feedback, such as describing the experience as “fun” when utilizing AR. Furthermore, the text mining analysis showed a high frequency of key terms such as “sunlight conditon” and “hydrogen concentration,” which are crucial when considering landing sites, suggesting that the AR content effectively facilitated learning.
Acknowledgments: We would like to thank Hiroka Inoue and Takeshi Hoshino of the Japan Aerospace Exploration Agency (JAXA) for their cooperation in handling and providing data for this research.