Name
Title | ||
|---|---|---|
Artificial Intelligence Course Design: iSTREAM-based Visual Cognitive Smart Vehicles. |
Abstract | ||
|---|---|---|
New intelligent era calls for new learners and thus urgently needs a series of artificial intelligence. As a good educational platform for teaching artificial intelligence, smart cars have aroused concern and practices of all parties. However, at present, most courses and training pay more attention to basic knowledge and technology of smart cars, seldom to training based on artificial intelligence curriculum system and comprehensive competency integrating science, technology, art and management. Therefore, based on concept of iSTREAM (intelligence for Science, Technology, Robotics, Engineering, Art, and Management) and Raspberry intelligent vehicle teaching platform, this paper introduced a smart car-themed artificial intelligence courses including basic courses, specialized courses, specialized technical courses and elective courses. This course can guide learners to develop smart cars based on visual cognition, in-depth learning, VR and 3D printing integrated artistic creativity. It combines disciplines such as science, technology, art, games and management to upgrade a single knowledge and technology course into a comprehensive competency course that integrates knowledge, skills, emotion and management. Practice in Beijing NO.13 and NO.101 High School shows that this course allows students to experience scientific research process, learn artificial intelligence related knowledge and skills, understand scientific way of thinking and scientific research methods, stimulate learners’ responsibility and scientific passion, and cultivate leadership skills through self-learning and partly project management. |
Year | Venue | Field |
|---|---|---|
2018 | Intelligent Vehicles Symposium | Visual cognition,Competence (human resources),Curriculum,Artificial intelligence,Engineering,Creativity,Cognition,Robotics,Scientific method,Project management |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| xiaoyan gong | 1 | 0 | 0.68 |
| Yilin Wu | 2 | 3 | 1.73 |
| Zifan Ye | 3 | 0 | 0.34 |
| Xiwei Liu | 4 | 652 | 40.95 |