Home / 2018 / March

In this Discovery Minute, Director of the STEM Center and Associate Professor in Curriculum and Instruction Victor Sampson discusses how Argument Driven Engineering can introduce more students to engineering through the math courses they already take.

Integrating engineering in the curriculum in this way, Sampson says, can help increase the exposure to and involvement in engineering among those who are currently underrepresented in the field. Similar steps are being taken to increase access to computer science and other areas of STEM education.

Sampson is an Elizabeth Glenadine Gibb Teaching Fellow.

Discovery Minute is a video series that highlights and introduces various topics that are researched by faculty at the College of Education at The University of Texas at Austin. Our faculty explore topics that have a direct impact on education, policy, health, and our community.

“Navigating the quicksand: How postsecondary administrators understand the influence of affirmative action developments on racial diversity work.”

Liliana M. Garces is associate professor at The University of Texas at Austin in the Department of Educational Leadership and Policy and affiliate faculty at the University of Texas School of Law. Her scholarship, focused on the dynamics of law and educational policy, examines access, diversity, and equity policies for underserved populations in higher education and the use and influence of research in law.

Many postsecondary institutions respond to a legal and policy environment that seeks to end the consideration of race in education policies by adopting race-neutral policies and practices in admissions. Meanwhile institutions have remained publicly committed to racial and ethnic diversity and to promoting inclusive learning environments. In this talk, Dr. Garces discusses how their research findings point to the importance of intentional efforts to implement diversity policy through a race- and racism-conscious lens, develop narratives that counter distorted narratives about racial discrimination, and address legal terms and definitions that do not reflect a realistic understanding of inequality or discrimination.

POST TAGS:

Scientific Integrity and Developmental Science: Increasing the Power of Our Science

Dr. Davis-Kean is Professor of Psychology at the University of Michigan, where she directs the Human Development and Quantitative Methods Lab. She is both a methodologist and substantive researcher. Her research focuses on the various pathways that the socio-economic status (SES) of parents relates to the cognitive/achievement outcomes of their children. Her primary focus is on parental educational attainment and how it can influence the development of the home environment throughout childhood, adolescence, and the transition to adulthood. Davis-Kean is also a Research Professor at the Institute for Social Research where she is the Program Director of the Population, Neurodevelopment, and Genetics (PNG) program. This collaboration examines the complex transactions of brain, biology, and behavior as children and families develop across time. She is interested in how both the micro (brain and biology) and macro (family and socioeconomic conditions) aspects of development relate to cognitive changes in children across the lifespan.

Secondary data analysis of large longitudinal and national data sets is a standard method used in many social sciences to answer complex questions regarding behavior. In this talk, Dr. Davis-Kean will detail the advantages of using these data sets to study education and health questions across the lifespan. First, she will provide an overview of how using secondary data can increase studies’ scientific integrity. Then, she will detail where and how data sets can be obtained that answer specific questions. Finally, she will discuss methodological issues related to using longitudinal, population data sets. These data sets can enhance science and test theories by increasing the rigor and generalizability of research to the general population, making secondary data analysis an important method to consider.

POST TAGS: