Wraparound student supports to increase persistence in STEM: Insights from the STEM Core Expansion Alliance
The U.S. education system needs to prepare more students for career opportunities in science, technology, engineering, and math (STEM) fields. Although the number of STEM graduates has more than doubled since 2001, this is not enough to meet increasing workforce demands ...
Leveraging Synthetic Data to Train Machine Learning Models for Assessing Science Teachers’ Pedagogical Content Knowledge
The emergence of artificial intelligence technologies, particularly large language models, presents a significant opportunity for innovation in PCK evaluation ...
Unlocking the Power of AI and Machine Learning in Education: A Call for Understanding and Collaboration
In the rapidly evolving landscape of education, the integration of artificial intelligence (AI) and machine learning (ML) holds tremendous promise for transforming learning ...