This case study evaluated the impact of science, technology, engineering, and mathematics initiatives in improving educational outcomes in the United Kingdom. Using secondary data in the form of official datasets approved by the national pupil database, Year 7 cohort was longitudinally followed from the beginning of Key Stage 3 till the end of Key…

This case study is based on a program evaluation of a professional certificate program that trains early childhood care and education providers to build and support young children's emotional literacy. The research project described in the case study will address approaches to methodological combination, justifying research design and changes to…

As a follow on to my earlier research with beginning teachers, in which I investigated their propensity for pedagogical change, when they faced difficult and unfamiliar cultural situations in school, this research was undertaken to test the findings on a larger scale. The research from which this case study is drawn uses a greater number of…

Data is critical, but data has not always lead to success. If data is not communicated clearly, the results can be disastrous. Design lets us communicate data so it can be understood. Dr. Rankin believes that "when we're fluent in visualizing our ideas, we can communicate them across global boundaries, across spoken language barriers, and…

This case study provides an account of one practical aspect of a 3-year-long learning analytics project, allowing readers to see how a researcher spread the idea of using learner data to improve the scholarship of teaching and learning in the course of research. The case sheds light on the particular challenges in using existing data stored in…

This report describes the methods used in an exploration of the challenges and issues faced by Teach First teachers in their first year of teaching in a culturally diverse school, and the strategies they employ to overcome them. Using a mixed-methods tactic, both qualitative and quantitative data are collected, focusing on the perspectives of the…

Presented at the Advanced Placement Annual Conference (APAC) in Lake Buena Vista, FL in July 2012. This presentation reviews concepts central to achieving equitable AP access and success for all willing and academically prepared students. We analyze trends in participation and performance by race/ethnicity from the AP Report to the Nation and…

Why conduct education research? To answer questions that we have about our students, add to our knowledge of good teaching, and investigate new theories based on observations we have made in our classrooms, schools, or communities. This qualitative research methods case illustrates a study we undertook to better understand how teachers use close…

Based on the bestselling book "Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning", and its companion volume, "Data Wise in Action", this DVD and Facilitator's Guide offer insight into one of the most challenging steps in capturing data about school performance: observing and analyzing instructional…

From setting the stage to engaging the community in understanding the purpose of collaborative professional learning teams, this volume covers what leaders need to know to implement more effective professional learning. Chapters focus on changing school culture, scheduling time, planning, using data, designs for professional learning, facilitating…

Presented at the Annual Dream Deferred Conference in Los Angeles, CA in April 2008. This presentation explores the participation and performance of African American students in the SAT and AP programs and use data to inform ways to better support and encourage achievement and college success.

Presented at the Knowledge Is Power Program (KIPP) School Summit in San Antonio, TX in July 2008. This presentation explores the participation and performance of African American students in the SAT and AP programs and use data to inform ways to better support and encourage achievment and college success.

This book provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked…