Behavioral-pattern exploration and development of an instructional tool for young children to learn AI
This study aimed at developing an instructional tool for the artificial intelligence education of young students, and used learning analytics to identify the sequential learning behavioral patterns of students during the process of learning with the instructional tool. The instructional experiment t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-01-01
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| Series: | Computers and Education: Artificial Intelligence |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X21000060 |
| _version_ | 1819009056565624832 |
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| author | Ting-Chia Hsu Hal Abelson Natalie Lao Yu-Han Tseng Yi-Ting Lin |
| author_facet | Ting-Chia Hsu Hal Abelson Natalie Lao Yu-Han Tseng Yi-Ting Lin |
| author_sort | Ting-Chia Hsu |
| collection | DOAJ |
| description | This study aimed at developing an instructional tool for the artificial intelligence education of young students, and used learning analytics to identify the sequential learning behavioral patterns of students during the process of learning with the instructional tool. The instructional experiment took 9 weeks. The first stage of the course was 5 weeks spent on individual learning of MIT App Inventor and Personal Image Classifier. The second stage was 4 weeks spent on cooperative learning to make a robot car and play a computational thinking board game. In the second stage, the students worked in pairs to make the robot car. Finally, they played the computational thinking board game with the personal image classification application they developed in the first stage and the robot car they made in the second stage. The innovative studies found meaningful behavioral patterns when the young students learned the application of artificial intelligence with the instructional tool developed and proposed in the study. |
| first_indexed | 2024-12-21T00:50:18Z |
| format | Article |
| id | doaj.art-a54ac6e42ba9497c9394fef67f9c984f |
| institution | Directory Open Access Journal |
| issn | 2666-920X |
| language | English |
| last_indexed | 2024-12-21T00:50:18Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers and Education: Artificial Intelligence |
| spelling | doaj.art-a54ac6e42ba9497c9394fef67f9c984f2022-12-21T19:21:25ZengElsevierComputers and Education: Artificial Intelligence2666-920X2021-01-012100012Behavioral-pattern exploration and development of an instructional tool for young children to learn AITing-Chia Hsu0Hal Abelson1Natalie Lao2Yu-Han Tseng3Yi-Ting Lin4Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taiwan; Corresponding author.Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, USADepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, USADepartment of Technology Application and Human Resource Development, National Taiwan Normal University, TaiwanDepartment of Technology Application and Human Resource Development, National Taiwan Normal University, TaiwanThis study aimed at developing an instructional tool for the artificial intelligence education of young students, and used learning analytics to identify the sequential learning behavioral patterns of students during the process of learning with the instructional tool. The instructional experiment took 9 weeks. The first stage of the course was 5 weeks spent on individual learning of MIT App Inventor and Personal Image Classifier. The second stage was 4 weeks spent on cooperative learning to make a robot car and play a computational thinking board game. In the second stage, the students worked in pairs to make the robot car. Finally, they played the computational thinking board game with the personal image classification application they developed in the first stage and the robot car they made in the second stage. The innovative studies found meaningful behavioral patterns when the young students learned the application of artificial intelligence with the instructional tool developed and proposed in the study.http://www.sciencedirect.com/science/article/pii/S2666920X21000060Artificial intelligence educationInterdisciplinary instructional toolBehavioral patterns |
| spellingShingle | Ting-Chia Hsu Hal Abelson Natalie Lao Yu-Han Tseng Yi-Ting Lin Behavioral-pattern exploration and development of an instructional tool for young children to learn AI Computers and Education: Artificial Intelligence Artificial intelligence education Interdisciplinary instructional tool Behavioral patterns |
| title | Behavioral-pattern exploration and development of an instructional tool for young children to learn AI |
| title_full | Behavioral-pattern exploration and development of an instructional tool for young children to learn AI |
| title_fullStr | Behavioral-pattern exploration and development of an instructional tool for young children to learn AI |
| title_full_unstemmed | Behavioral-pattern exploration and development of an instructional tool for young children to learn AI |
| title_short | Behavioral-pattern exploration and development of an instructional tool for young children to learn AI |
| title_sort | behavioral pattern exploration and development of an instructional tool for young children to learn ai |
| topic | Artificial intelligence education Interdisciplinary instructional tool Behavioral patterns |
| url | http://www.sciencedirect.com/science/article/pii/S2666920X21000060 |
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