Minimum reading fluency necessary for comprehension among second‐grade students

The current study examined the relationship between oral reading fluency (ORF) and reading comprehension for students in second grade. A total of 84 participants were randomly assigned to one of four conditions that involved reading a grade‐appropriate passage with either 0%, 10%, 20%, or 30% scrambled words and answering subsequent comprehension questions. The correlation coefficient between ORF and the number of comprehension questions correctly answered was r = .54. Receiver operating characteristics were then used to empirically derive a minimum ORF score necessary for comprehension, indicating that when these students read 63 words correct per minute they successfully comprehended what they read. Finally, the diagnostic accuracy of the derived criterion of 63 words read correctly per minute was tested and resulted in overall correct classification of .80. © 2010 Wiley Periodicals, Inc.     

A Systematic Evaluation and Comparison Between Exploratory Structural Equation Modeling and Bayesian Structural Equation Modeling

In this study, we contrast two competing approaches, not previously compared, that balance the rigor of CFA/SEM with the flexibility to fit realistically complex data. Exploratory SEM (ESEM) is claimed to provide an optimal compromise between EFA and CFA/SEM. Alternatively, a family of three Bayesian SEMs (BSEMs) replace fixed-zero estimates with informative, small-variance priors for different subsets of parameters: cross-loadings (CL), residual covariances (RC), or CLs and RCs (CLRC). In Study 1, using three simulation studies, results showed that (1) BSEM-CL performed more closely to ESEM; (2) BSEM-CLRC did not provide more accurate model estimation compared with BSEM-CL; (3) BSEM-RC provided unstable estimation; and (4) different specifications of targeted values in ESEM and informative priors in BSEM have significant impacts on model estimation. The real data analysis (Study 2) showed that the differences in estimation between different models were largely consistent with those in Study1 but somewhat smaller.     

“Science Talks” in Kindergarten Classrooms: Improving Classroom Practice Through Collaborative Action Research

In this study we described an action research project enacted by a veteran Kindergarten teacher (Sarah) in the context of a professional development program. Over the course of a year, Sarah collaborated with other teachers in a small group to investigate how to use “Science Talks” to promote student learning in Kindergarten classrooms. A Problem-Based Learning approach was adopted to guide the collaborative action research. Based on a rich set of data sources, we concluded that Sarah’s action research improved student learning and led to her own professional growth. We also identified important conditions in support of action research.     

The development of a conceptual framework and tools to assess undergraduates' principled use of models in cellular biology

Recent science education reform has been marked by a shift away from a focus on facts toward deep, rich, conceptual understanding. This requires assessment that also focuses on conceptual understanding rather than recall of facts. This study outlines our development of a new assessment framework and tool-a taxonomy- which, unlike existing frameworks and tools, is grounded firmly in a framework that considers the critical role that models play in science. It also provides instructors a resource for assessing students' ability to reason about models that are central to the organization of key scientific concepts. We describe preliminary data arising from the application of our tool to exam questions used by instructors of a large-enrollment cell and molecular biology course over a 5-yr period during which time our framework and the assessment tool were increasingly used. Students were increasingly able to describe and manipulate models of the processes and systems being studied in this course as measured by assessment items. However, their ability to apply these models in new contexts did not improve. Finally, we discuss the implications of our results and the future directions for our research.     

Bioinformatics and the Undergraduate Curriculum Essay

Recent advances involving high-throughput techniques for data generation and analysis have made familiarity with basic bioinformatics concepts and programs a necessity in the biological sciences. Undergraduate students increasingly need training in methods related to finding and retrieving information stored in vast databases. The rapid rise of bioinformatics as a new discipline has challenged many colleges and universities to keep current with their curricula, often in the face of static or dwindling resources. On the plus side, many bioinformatics modules and related databases and software programs are free and accessible online, and interdisciplinary partnerships between existing faculty members and their support staff have proved advantageous in such efforts. We present examples of strategies and methods that have been successfully used to incorporate bioinformatics content into undergraduate curricula.     

Writing and becoming [a teacher]: Teacher candidates’ literacy narratives over four years

This paper explores narrative inquiry practices in pre-service teacher education program. Written dialogue by teacher candidates provided deep and long term reflection during a 5-year initial teacher education program. This 4-year longitudinal study with 30 teacher candidate participants considers participants’ knowledge formation in becoming teachers, through writing and sharing of letters (with peers) of personal lived educational experiences, and personal stories of theory related to learning, teaching, and teaching practice over a significant period of time. The study discusses letter writing as a narrative inquiry practice in teacher education programs and implications of pre-service letter writing over a significant amount of time.     

Extending Curriculum‐based Assessment to Early Writing

Early writing interventions can help students develop the writing skills they need to experience positive educational and postsecondary outcomes, but effective intervention requires instructionally relevant assessment data. Shapiro's curriculum‐based assessment (CBA) model integrates related yet distinct CBA approaches into a model that informs intervention. Extending this model to early writing poses challenges only recently addressed by research. On the basis of a review of relevant early writing research, this article outlines an instructionally relevant assessment model for early writing. Within the proposed model, the instructional hierarchy is suggested to directly connect early writing assessment with intervention. A discussion of potential limitations as well as future directions for research is included.