Principal Leadership for Technology-enhanced Learning in Science

Reforms such as technology-enhanced instruction require principal leadership. Yet, many principals report that they need help to guide implementation of science and technology reforms. We identify strategies for helping principals provide this leadership. A two-phase design is employed. In the first phase we elicit principals’ varied ideas about the Technology-enhanced Learning in Science (TELS) curriculum materials being implemented by teachers in their schools, and in the second phase we engage principals in a leadership workshop designed based on the ideas they generated. Analysis uses an emergent coding scheme to categorize principals’ ideas, and a knowledge integration framework to capture the development of these ideas. The analysis suggests that principals frame their thinking about the implementation of TELS in terms of: principal leadership, curriculum, educational policy, teacher learning, student outcomes and financial resources. They seek to improve their own knowledge to support this reform. The principals organize their ideas around individual school goals and current political issues. Principals prefer professional development activities that engage them in reviewing curricula and student work with other principals. Based on the analysis, this study offers guidelines for creating learning opportunities that enhance principals’ leadership abilities in technology and science reform.     

Good practices for student learning: Mixed‐method evidence from the Wabash National Study

Kathleen M. Goodman, Marcia Baxter Magolda, Tricia A. Seifert, and Patricia M. King review both quantitative and qualitative data to understand students' college experiences and provide powerful information to guide educators.     

Toward a Learning Technologies knowledge network

The National Science Foundation-funded Center for Innovative Learning Technologies (CILT) is designed to be a national resource for stimulating research and development of technology-enabled solutions to critical problems in K-14 science, math, engineering and technology learning. The Center, launched at the end of 1997, is organized around four themes identified as areas where research is likely to result in major gains in teaching and learning, and sponsors research across disciplines and institutions in its four theme areas. CILT brings together experts in the fields of cognitive science, educational technologies, computer science, subject matter learning, and engineering. It engages business through an Industry Alliance Program and is also training postdoctoral students. CILT's founding organizations are SRI International's Center for Technology in Learning, University of California at Berkeley (School of Education and Department of Computer Science), Vanderbilt University's Learning Technology Center, and the Concord Consortium. Through its programs, CILT seeks to reach beyond these organizations to create a web of organizations, individuals, industries, schools, foundations, government agencies, and labs, that is devoted to the production, sharing and use of new knowledge about how learning technologies can dramatically improve the processes and outcomes of learning and teaching. This paper describes the rationale and operations of the Center, and first-year progress in defining a set of CILT partnership projects with many other institutions that came out of our national theme-team workshops. Roy Pea, of SRI International, is Director of CILT. Marcia Linn (U. California, Berkeley), John Bransford (Vanderbilt University), Barbara Means (SRI International), and Robert Tinker (Concord Consortium), serve as CILT's coprincipal investigators. Sherry Hsi (Ubiquitous Computing) and Sean Brophy (Technology and Assessment Models) are among the first group of CILT Postdoctoral Fellows. Jeremy Roschelle (SRI International) and Nancy Songer (University of Michigan) are CILT theme-team leaders. Roy Pea and Marcia Linn would like to thank the Spencer Foundation for support during their year at the Center for Advanced Study in the Behavioral Sciences, Stanford University, in which they developed the CILT concept with the other authors. CILT is funded by National Science Foundation grant #CDA-9720384. Pea and Linn would also like to acknowledge contributions to this article by the many authors of CILT partnership project proposals, and by theme-team leaders. The authors thankfully acknowledge Donna Baranski-Walker for her many contributions to developing the CILT Industrial Alliance Program while serving as its Director in 1998.     

Using educational placement in third grade to select and validate a preschool screening measure

The early detection of children with mild learning problems remains a problem. New screening tests are being developed that will be more effective in identifying children who fall into this “difficult to identify” group. This study examined the predictive validity of one potential screening test. The scores of 268 children on each task of a nine‐task preschool cognitive battery were evaluated in terms of the accuracy with which they predicted the classification of those same children into regular education (n = 254) or special education (n = 14) 4 years later when the children were in third grade. A classification accuracy level of 79% was achieved for the exceptional children, and a classification level of 70% for the normally achieving children. Racial/ethnic status, testing language, and socioeconomic status all impacted the children's screening performance. Lower screening scores and a greater proportion of the sample with scores below the cut were associated with minority status, not being tested in English, and lower socioeconomic status. Preschool testing in Spanish or both English and Spanish was associated with poorer achievement 4 years later. Many of the children not in special education, but with a screening score below 13, had serious academic problems in third grade that were reflected in their low percentile scores on one or more subtests of the Stanford Achievement Test. © 2003 Wiley Periodicals, Inc. Psychol Schs 40: 565–582, 2003.     

Using initial,derived, and terminal credibility to help students understand how they are perceived by others

Courses: Public Speaking, Interpersonal Communication, Organizational Communication, Introduction to Communication Studies, Business Communication

Objectives: The goal for this activity is not only to provide students with an understanding of their initial, derived, and terminal credibility when relating a personal, edifying story but also to understand how they are initially perceived by their fellow students.     

Retrieval,visualization, and mining of large radiation dosage data

Radiation dose monitoring has become an essential service that hospitals must perform. Depending on the system in place, this can result in the collection of large quantities of data, ripe for analysis. These data should include a wide variety of variables for each study because assessment of the propriety of the patient’s dose is dependent on many factors, including patient age and size, as well as the body section that is being scanned. Moreover, the scanners themselves have many properties that affect patient dose, such as model, pitch and kVp. In this paper, we propose an engine that seamlessly integrated with a clinical PACS to retrieve radiation dosage data. We devised several schemes to analyze these data through visualization and mining techniques that examine it at different scopes. We demonstrate the utility of such visual methods at examining large, noisy, and multi-dimensional data, which is embodied in the collected radiation data.