Evaluating AI Courses: A Valid and Reliable Instrument for Assessing Artificial-Intelligence Learning through Comparative Self-Assessment

• 主要な著者: Matthias Carl Laupichler (著者), Alexandra Aster (著者), Jan-Ole Perschewski (著者), Johannes Schleiss (著者)
• フォーマット: 図書
• 出版事項: MDPI AG, 2023-09-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

A growing number of courses seek to increase the basic artificial-intelligence skills ("AI literacy") of their participants. At this time, there is no valid and reliable measurement tool that can be used to assess AI-learning gains. However, the existence of such a tool would be important...