Morphological structure: Latin and Greek roots and affixes as upper grade code strategies

Some students in the upper elementary grades and high schools may benefit from extended decoding and spelling instruction. These students, because of their age level and reading selections, require strategies going well beyond phonics. For these older readers, including adults, learning about morphological structure may provide the strategies needed to decode and spell multisyllabic words found often in literature and content area texts. In this paper, literature providing a rationale for such instruction is reviewed, and a curriculum and instructional plan is described.     

Autonomy at mealtime: Building healthy food preferences and eating behaviors in young children

This article discusses family-style meal service as a means to building autonomy and healthy eating behaviors in young children. The authors discuss the development of food preferences, age-related developmental responses to food, and the importance of socially mediated exposure to food as a way to increased food acceptance. Guidelines for implementing family-style mealtimes in child care settings are outlined. To think, “On a typical day in 1992, 1.9 million children ate at least one of their meals in a child care center or family day care home”. (Briley, Roberts-Gray, & Simpson, 1994).     

Action research: a methodology for transformative learning for a professor and his students in an engineering classroom

ABSTRACT

An engineering professor of a first-year thermodynamics course and a PhD student with a focus in engineering education in a large research university in Canada participated in an ethnographic action research study with the intention of increasing active learning in the classroom to enhance student engagement and learning. Unexpected findings included transformative changes to the professor’s epistemology of teaching and learning. Through the action research cycle of planning, implementing, observing, and critically reflecting, modifications were made to the instructional strategies and the learning environment that created a micro engineering community of practice where both students and teaching assistants engaged in deep learning and legitimate peripheral participation on the trajectory to ‘becoming engineers’. Qualitative interview data from the professor, three students, and three teaching assistants are analysed through approaches to learning research and situated learning theory. Engaging in action research had profound repercussions in this case. The authors make the argument for action research as a catalyst for transformative learning required for teachers to engage students in the twenty-first century classroom.     

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.     

A step function in pigeons’ temporal generalization in the peak shift task

Pigeons were reinforced for pecking a key following one signal duration (S+) but not following another signal duration (S?). The S+ and S? were 2.52 and 5.67 sec, respectively, counterbalanced across birds. Subsequent generalization tests with a range of signal durations revealed a step function, with high response rates for all durations on the S+ side of the distribution, low response rates for all durations on the S? side, and an intermediate rate for the intermediate duration. A comparison group of pigeons trained with only the S+ duration showed a flat generalization function. For the discrimination-trained birds, the delay between signal termination and opportunity to respond was subsequently varied during generalization testing. A step function again appeared, and no evidence of subjective shortening over the delay was found. The overall pattern of results suggests that the birds categorized the temporal signal into two classes and retained a categorical code over the delay.     

Automated Scoring of Constructed‐Response Science Items: Prospects and Obstacles

Content‐based automated scoring has been applied in a variety of science domains. However, many prior applications involved simplified scoring rubrics without considering rubrics representing multiple levels of understanding. This study tested a concept‐based scoring tool for content‐based scoring, c‐rater?, for four science items with rubrics aiming to differentiate among multiple levels of understanding. The items showed moderate to good agreement with human scores. The findings suggest that automated scoring has the potential to score constructed‐response items with complex scoring rubrics, but in its current design cannot replace human raters. This article discusses sources of disagreement and factors that could potentially improve the accuracy of concept‐based automated scoring.     

Personal Leadership in Practice: A Critical Approach to Instructional Design Innovation Work

An argument is made in this article for a link between leadership and innovation, when innovation is an outcome of the work approaches and practices that underpin an educational technologist’s academic course designs. The practice of instructional design (ID) is continually being challenged to rethink its conceptualization of academic course designs, especially for web-based affordances, to release designers to new processes that more align with the modern use of communication devices and networks. I suggest here that the time has come for ID to leave non-adaptive, linear thinking behind not only in how and when to prescribe certain technologies but in how to approach educational change with an adaptation of personal leadership that drives innovation (Ashbaugh, 2012).     

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.     

Can research on science learning and instruction inform standards for science education?

We contrast the current science education reform effort with the reforms of the 1960s and suggest how the current effort could be enhanced. We identify insights from recent research that we believe can inform the reform process, in particular, to reach all science students and also impart a cohesive view of science. We propose an alternative models view of scientific explanation and show how this view would contribute to reforms of (1) course goals, (2) social aspects of science learning, (3) instructional practices, and (4) roles for technology.This paper summarizes discussions and debates that the authors have had over the last few years. The dialogue stems, in part, from our joint participation in the American Educational Research Association Special Interest Group on Education in Science and Technology (AERA SIG:EST) leadership. This paper communicates the spirit of our thinking and does not necessarily reflect the view of SIG:EST, or any other organization.We gratefully acknowledge the support of National Science Foundation Grant MDR-9253462 in work related to this paper. We appreciate helpful comments from Eileen Lewis and the Computer as Learning Partner group.This material is based upon research supported by the National Science Foundation under grant RED-9155744. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and not necessarily reflect the views of the National Science Foundation.     

Designing and Validating Assessments of Complex Thinking in Science

Typical assessment systems often measure isolated ideas rather than the coherent understanding valued in current science classrooms. Such assessments may motivate students to memorize, rather than to use new ideas to solve complex problems. To meet the requirements of the Next Generation Science Standards, instruction needs to emphasize sustained investigations, and assessments need to create a detailed picture of students’ conceptual understanding and reasoning processes.

This article describes the design process and potential for automated scoring of 2 forms of inquiry assessment: Energy Stories and MySystem. To design these assessments, we formed a partnership of teachers, discipline experts, researchers, technologists, and psychometricians to align curriculum, assessments, and rubrics. We illustrate how these items document middle school students’ reasoning about energy flow in life science. We used evidence from review by science teachers and experts in the discipline; classroom experiments; and psychometric analysis to validate the assessments, rubrics, and automated scoring.