Jennifer H. Forrester

Developing a Scientist: A retrospective look

Although one of the goals of science education is to educate and nurture the next generation of scientists and engineers, there is limited research that investigates the pathway from childhood to becoming a scientist. This study examined the reflections of 37 scientists and engineers about their in‐ and out‐of‐school experiences as well as their memories of significant people who may have influenced their careers. In‐depth, semi‐structured interviews were conducted and the interview transcripts were analyzed for potential influences on career decisions. Analysis showed several commonalities in participants’ reported experiences that influenced career decisions in science and engineering. Informal advising and mentoring by teachers and family members were noted as important. Across participants, tinkering, building models, and exploring science independently in and out of school were viewed as factors that influenced interests in science and engineering. Implications of these results for formal and informal educational programs are discussed.

Quantitative Reasoning in Environmental Science: A Learning Progression.

The ability of middle and high school students to reason quantitatively within the context of environmental science was investigated. A quantitative reasoning (QR) learning progression was created with three progress variables: quantification act, quantitative interpretation, and quantitative modeling. An iterative research design was used as it is the standard method for the development of learning progressions. The learning progression was informed by interviews of 39 middle and high school students from 5 schools in the Western USA using QR assessments. To inform the lower anchor, intermediate levels, and upper anchor of achievement for the QR learning progression, an extensive review of the literature on QR was conducted. A learning progression framework was then hypothesized. To confirm the framework, three QR assessments within the context of environmental literacy were constructed. The interviews were conducted using these QR assessments. The results indicated that students do not actively engage in quantitative discourse without prompting and display a low level of QR ability. There were no consistent increases on the QR learning progression either across grade levels or across scales of micro/atomic, macro, and landscape.

Quantitative Reasoning in Environmental Science: Rasch Measurement to Support QR Assessment

The ability of middle and high school students to reason quantitatively within the context of environmental science was investigated. A quantitative reasoning (QR) learning progression, with associated QR assessments in the content areas of biodiversity, water, and carbon, was developed based on three QR progress variables: quantification act, quantitative interpretation, and quantitative modeling. Diagnostic instruments were developed specifically for the progress variable quantitative interpretation (QI), each consisting of 96 Likertscale items. Each content version of the instrument focused on three scale levels (macro scale, micro scale, and landscape scale) and four elements of QI identified in prior research (trend, translation, prediction, and revision). The QI assessments were completed by 362, 6th to 12th grade students in three U.S. states. Rasch (1960/1980) measurement was used to determine item and person measures for the QI instruments, both to examine validity and reliability characteristics of the instrument administration and inform the evolution of the learning progression. Rasch methods allowed identification of several QI instrument revisions, including modification of specific items, reducing number of items to avoid cognitive fatigue, reconsidering proposed item difficulty levels, and reducing Likert scale to 4 levels. Rasch diagnostics also indicated favorable levels of instrument reliability and appropriate targeting of item abilities to student abilities for the majority of participants. A revised QI instrument is available for STEM researchers and educators.

Quantitative Reasoning Learning Progression: The Matrix

The NSF Pathways Project studied the development of environmental literacy in students from grades six through high school. Learning progressions for environmental literacy were developed to explicate the trajectory of learning. The Pathways QR research team supported this effort by studying the role of quantitative reasoning (QR) as a support or barrier to developing environmental literacy. An iterative research methodology was employed which included targeted student interviews to establish QR learning progression progress variables and elements comprising those progress variables, development of a QR learning progression framework, and closed-form QR assessments to verify the progression. In this paper the focus is on development of the current iteration of the QR learning progression, including a brief discussion of the first and second iterations that provide a look into the development of a learning progression. The focus is on the latest iteration, with a detailed discussion of the progress variables: Quantitative Act (QA), Quantitative Interpretation (QI), and Quantitative Modeling (QM). The elements that constitute these progress variables which arose from our analysis of qualitative interview data and quantitative assessment data are provided. Discussion of the evolution of the QR assessment to document students’ abilities to utilize the progress variables occurs concurrently with explanation of the learning progression development. The most recent QR assessment focused on QI. The data from this assessment will provide additional information to revise the learning progression QI progress variable. A similar effort is planned for the QA and QM progress variables.