Technical Quality Criteria for Evaluating District Assessment Portfolios Used in the Nebraska STARS

Nebraska districts use different strategies for measuring student performance on the state's content standards. District assessments differ in type and technical quality. Six quality criteria were endorsed by the state. These criteria cover content and curricular validity, fairness, and appropriateness of score interpretations. District assessment portfolios document how well assessments meet these criteria. Districts receive ratings on how well their assessments meet each of the quality criteria and are given a rating from Unacceptable to Exemplary. This article presents these technical quality criteria and explains how they are (a) individually rated and (b) combined for the district's overall quality rating.     

First Principles of Attitudinal Change: a Review of Principles,Methods and Strategies

Knowing how to effectively design attitudinal change instruction for various learning settings is essential for instructional designers. However, the research on instructional design for attitudinal change instruction has been relatively dispersed and lacks cohesion, despite its increasing importance. The purposes of this paper are to 1) reignite the scholarly conversation on designing attitudinal change instruction, and 2) provide directions for future research. Using Merrill’s first principles of instruction as a guide and framework, we review the existing research to identify and discuss the principles for designing attitudinal change instruction.     

Integrating Technology in Physical Education Teacher Education: A Socialization Perspective

ABSTRACT

Physical education teacher education (PETE) programs are encouraged to develop teachers capable of delivering technology integrated learning experiences. Technological pedagogical content knowledge provides a framework for integrating technology into teacher education programs. Occupational socialization theory describes an educator’s recruitment, training, and socialization in the teaching profession. The purpose of this article is to propose a conceptual framework for helping preservice physical educators develop technological pedagogical content knowledge that is grounded in occupational socialization theory. We specifically recommend a four-phase approach to help preservice teachers (a) build their knowledge and learn to value technology in physical education, (b) observe and explore through instructor modeling and integration, (c) experiment and collaborate with mentoring and scaffolding, and (d) discover through innovation and utilization. These suggestions acknowledge the sociopolitical aspects of learning to teach with technology and implications are discussed along with the need to help preservice teachers transfer technology integration into their professional careers.     

The Phenomena of Collaborative Practice: the Impact of Interprofessional Education

A qualitative phenomenological inquiry was utilized in this exploratory study to investigate the impact of interprofessional education on the development of collaborative practice for five participants training to be professional clinical mental health counselors and eight students training to be speech language pathologists. Global implications for counselor training, interprofessional education, collaborative practice, and future research are provided.     

Teaching about complex systems is no simple matter: building effective professional development for computer-supported complex systems instruction

The recent next generation science standards in the United States have emphasized learning about complex systems as a core feature of science learning. Over the past 15 years, a number of educational tools and theories have been investigated to help students learn about complex systems; but surprisingly, little research has been devoted to identifying the supports that teachers need to teach about complex systems in the classroom. In this paper, we aim to address this gap in the literature. We describe a 2-year professional development study in which we gathered data on teachers’ abilities and perceptions regarding the delivery of computer-supported complex systems curricula. We present results across the 2 years of the project and demonstrate the need for particular instructional supports to improve implementation efforts, including providing differentiated opportunities to build expertise and addressing teacher beliefs about whether computational-model construction belongs in the science classroom. Results from students’ classroom experiences and learning over the 2 years are offered to further illustrate the impact of these instructional supports.     

Understanding nature‐related behaviors among children through a theory of reasoned action approach

The Theory of Reasoned Action has proven to be a valuable tool for predicting and understanding behavior and, as such, provides a potentially important basis for environmental education program design. This study used a Theory of Reasoned Action approach to examine a unique type of behavior (nature‐related activities) and a unique population (early adolescents). Participants (n = 164, ages 9–14) reported their attitudes, subjective norms, age, gender, behavioral intentions, and behaviors in a written questionnaire. Results showed mild success in accounting for children's nature‐related behaviors and intentions (R ²=.05 to .33). In general, the ability to predict intentions was greater than the ability to explain actual behaviors. Findings suggest that environmental educators should focus on attitudes when the goal is to achieve behavior change. Future research should compare a Theory of Reasoned Action approach with several alternative frameworks for explaining children's nature‐related behaviors, and investigate the relationship between behaviors and behavioral intentions to see why a discrepancy exists in the ability to account for each construct. To more fully influence behavior in environmental education programs, educators may need to address other factors besides attitudes and subjective norms.     

Use of Standard Deviations as Predictors in Models Using Large-Scale International Data Sets

Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for Economic Co-operation and Development to examine standard deviation predictors in multilevel models. These predictors and interactions explained additional variation in the dependent variable beyond the control variables. Models using biased and unbiased standard deviations were compared. Meaningful differences were found between the models. Findings supported how standard deviation predictors may increase explanatory power and accuracy of models commonly used in educational research.     

A Comparison of Angoff and Bookmark Standard Setting Methods

This article presents a comparison of simplified variations on two prevalent methods, Angoff and Bookmark, for setting cut scores on educational assessments. The comparison is presented through an application with a Grade 7 Mathematics Assessment in a midwestem school district. Training and operational methods and procedures for each method are described in detail along with comparative results for the application. An alternative item ordering strategy for the Bookmark method that may increase its usability is also introduced. Although the Angoff method is more widely used, the Bookmark method has some promising features, specifically in educational settings. Teachers are able to focus on the expected performance of the "barely proficient" student without the additional challenge of estimating absolute item dificulty.     

THE ROLE OF LONELINESS IN THE RELATIONSHIP BETWEEN ANXIETY AND DEPRESSION IN CLINICAL AND SCHOOL‐BASED YOUTH

Identifying mechanisms that explain the relationship between anxiety and depression are needed. The Tripartite Model is one model that has been proposed to help explain the association between these two problems, positing a shared component called negative affect. The objective of the present study was to examine the role of loneliness in relation to anxiety and depression. A total of 10,891 school‐based youth (Grades 2–12) and 254 clinical children and adolescents receiving residential treatment (Grades 2–12) completed measures of loneliness, anxiety, depression, and negative affect. The relationships among loneliness, anxiety, depression, and negative affect were examined, including whether loneliness was a significant intervening variable. Various mediational tests converged showing that loneliness was a significant mediator in the relationship between anxiety and depression. This effect was found across children (Grades 2–6) and adolescent (Grades 7–12) school‐based youth. In the clinical sample, loneliness was found to be a significant mediator between anxiety and depression, even after introducing negative affect based on the Tripartite Model. Results supported loneliness as a significant risk factor in youths' lives that may result from anxiety and place youth at risk for subsequent depression. Implications related to intervention and prevention in school settings are also discussed.