體驗區
|
| 篇名 |
教育人工智能的下一步——应用场景与推进策略
|
| 並列篇名 |
The Next Step of Artificial Intelligence in Education — Application Scenarios and Promotion Strategies
|
| 作者 |
杨晓哲(Yang Xiaozhe)
、任友群(Ren Youqun)
|
| 中文摘要 |
人工智能的发展备受瞩目，而在教育领域中的研究与应用仍属刚刚起步。不少教育人工智能的研究与应用方兴未艾。该研究进一步定位教育人工智能的内涵，架构其技术框架，并指出八个教育人工智能的应用场景，分别是智能辅导、微格教学、自适应学习、沉浸学习、自动测评、课堂评价、数据决策、智能治理。从而提出教育人工智能的下一步推进策略：抓住关键应用场景，促进智能赋能；提升全员信息素养，促进教学创新；兼顾短期长远结合，促进多方协同；开好信息技术课程，建设教师队伍。研究为教育人工智能的下一步发展提出技术框架，应用场景与推进策略的建议。
|
| 英文摘要 |
The development of Artificial Intelligence has attracted much attention, and the research and application in the field of education is still just starting. Many researches and applications of educational Artificial Intelligence are in the ascendant. This research further locates the connotation of educational Artificial Intelligence, constructs the technical framework of educational Artificial Intelligence, and points out eight application scenarios of educational Artificial Intelligence, namely intelligent tutoring, microteaching, adaptive learning, immersive learning, automatic assessment, classroom evaluation, data decision-making, intelligent governance. Therefore, the next step forward strategy for education artificial intelligence is proposed: grasp key application scenarios to promote intelligence empowerment; improve the information literacy of all staff and promote teaching innovation; take into account the short-term and long-term integration to promote multi-party collaboration; develop information technology courses and build the teaching team. This research proposes a technical framework, application scenarios and promotion strategies for the next development of educational Artificial Intelligence.
|
| 頁次 |
089-095
|
| 關鍵詞 |
教育人工智能
、人工智能
、应用场景
、educational Artificial Intelligence
、Artificial Intelligence
、application scenarios
、CSSCI
|
| 卷期 |
408
|
| 日期 |
202101
|
| 刊名 |
中國電化教育
|
| 出版單位 |
中國電化教育雜誌社
|
|
相關文獻 :
客服信箱