Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates the result. The framework integrates the features of Machine Learning (ML), Explainable AI (XAI)…

The use of codebooks to categorise qualitative data and to increase consistency in coding between multiple researchers is a well-established strategy in qualitative research. However, due to the focus on team-based research projects, the possibilities for the use of codebooks by individual researchers are rarely discussed. With the aim of adding…

This dissertation comprises three chapters. The first two address issues within the education system, focusing on strategies to attract and retain high-quality teachers in the public sector. The third chapter, a collaborative effort with Martin Martinez and Miguel Saldarriaga, explores the application of machine learning tools for nowcasting…

Public data and accountability are key to an inclusive economic recovery. We need data on how different workers and businesses are faring in the recovery, so we can hold policymakers accountable to equitable outcomes for those most impacted. Disparities and inequities in skills training programs can only be eliminated if there is high-quality…

This new TICAS (The Institute for College Access & Success) report details existing requirements that govern the calculation and provision of post-college employment metrics, documents weaknesses in existing data, and recommends federal and state policy changes to support comparable, accurate, accessible information for measuring post-college…

This report shows how state leaders are using technological advances to improve the use of data in five critical areas: (1) Helping economic and workforce developers, businesses, and colleges to reduce the high costs resulting from uninformed education and workforce decisions; (2) Assisting college leaders in making program-related decisions that…

Each school should have a well-prepared principal capable of improving student performance. While principal preparation advocates identify important program features (e.g., extended internships), few studies assess the impact of placing new principals trained by programs exhibiting these features on student learning. Using comparative interrupted…