Laura B. Sample McMeeking

Linking Biophysical, Socioeconomic, and Political Effects of Climate Change on Agro-Ecosystems

ABSTRACT To meet the sustainability challenges of the future, we need leaders who are trained to work well in diverse, multidisciplinary teams and a populace that understands the biophysical and socioeconomic challenges facing humanity and how to meet the needs of its diverse stakeholders. With a goal of increasing climate literacy amongst college students, we developed a cooperative jigsaw activity to encourage students to explore the complexities of joint decision making when taking into account multiple perspectives. We found that undergraduate science (natural science and natural resources) students were engaged, drew on a variety of types of evidence to support claims about managing rangelands impacted by climate change, and referenced both complex social and natural systems in their postassessment.

Evaluating long-term complex professional development: using a variation of the cohort control design

Abstract This paper introduces a variation on the post-test only cohort control design and addresses questions concerning both the methodological credibility and the practical utility of employing this design variation in evaluations of large-scale complex professional development programmes in mathematics education. The original design and design variation, which adds a pre-test measure and gain scores for both pre-treatment and post-treatment conditions, are compared theoretically for their respective controls on threats to internal validity, and practically for their comparative ease of implementation in field settings. We conclude that the design variation adds important controls to selection bias that the original design cannot. From a utility perspective, however, there are trade-offs, because this design variation requires more data collection observations, more complex data management and certain psychometric characteristics for the outcome measure.

An organizational model to distinguish between and integrate research and evaluation activities in a theory based evaluation.

Theory-based evaluation (TBE) is an evaluation method that shows how a program will work under certain conditions and has been supported as a viable, evidence-based option in cases where randomized trials or high-quality quasi-experiments are not feasible. Despite the models widely accepted theoretical appeal there are few examples of its well-implemented use, probably due to time and money limitations necessary for planning and a confusion over the definitions between research and evaluation functions and roles. In this paper, we describe the development of a theory-based evaluation design in a Math and Science Partnership (MSP) research project funded by the U.S. National Science Foundation (NSF). Through this work we developed an organizational model distinguishing between and integrating evaluation and research functions, explicating personnel roles and responsibilities, and highlighting connections between research and evaluation work. Although the research and evaluation components operated on independent budgeting, staffing, and implementation activities, we were able to combine datasets across activities to allow us to assess the integrity of the program theory, not just the hypothesized connections within it. This model has since been used for proposal development and has been invaluable as it creates a research and evaluation plan that is seamless from the beginning.

A Holistic Approach to Transforming Undergraduate Electrical Engineering Education

Our diverse team of educators at Colorado State University are redefining what it means to teach and learn in the Department of Electrical and Computer Engineering. Supported by a five-year “RED” grant from the National Science Foundation, we are, in effect, throwing away courses to overcome the challenges of the current engineering educational system. Approaching the degree from a holistic perspective, we no longer view our program as a set of disparate courses taught by autonomous (and isolated) faculty, but as an integrated system that fosters collaboration among faculty and students. This paper describes our new organizational and pedagogical model, which emphasizes knowledge integration and interweaves thematic content threads throughout the curriculum. We also share our process for implementing the new approach, along with the successes and challenges that we have experienced along the way. Through this project, we strive to become a catalyst for change in engineering education.