Exploring Interactive Content in MOOCs for Training Educators in AI Education

The increasing demand for Artificial Intelligence (AI) skills across various sectors has required innovative teaching approaches to equip educators with the foundation of AI knowledge. Due to its dynamic and engaging qualities, interactive content fits as a promising technique for teaching educators complex artificial intelligence materials. This paper aims to identify the methods course providers use to enhance learning experiences by analyzing data from learners' interactions with the interactive content included in these courses. The research investigates how various forms of interactive content affect learners' engagement and overall course success by employing learning analytics and interaction data. The conclusion of the analysis provides insightful information for future course design and the use of interactive content in AI education. The study's implications offer guidance on incorporating interactive content into various MOOC-based education programs. This approach better equips teachers with the AI knowledge needed to navigate the opportunities and challenges posed by advancing technology in digital education platforms.