From program evaluation to intstructional information system

This article describes the emergence of a new and exciting possibility for upgrading teaching and learning in American schools. We call this new phenomenon, instructional information systems (IIS). Instructional information systems are computerized data banks that allow a variety of users to ask important evaluative questions about student learning, classroom function, school management, and district policies. They built on current practice in testing and program evaluation but go way beyond it.     

A comparison among three experimental education programs

The primary characteristics of the three programs are used to compare participants to each other and to a group of students in the regular curriculum: (1) development of logical thought, (2) broader educational development, and, (3) career development, as well as selected academic characteristics (grades academic aptitude). The programs and their evaluations are described. The outcomes claimed for each program occurred more frequently in that program than in the comparison groups. The absence of differences in grades, despite differences in academic ability and in extent of program involvement, is interpreted as further evidence of the insensitivity of grades. The question of generality of the results is explored briefly.     

University class size: Is smaller better?

This study investigates the relationship between class size and achievement at the college level. Recent meta-analyses have found a strong relationship between class size and student achievement, but few of the studies examined class size larger than 40 or university-age populations. This analysis examines a university's testing-center data-archives representing 305 sections from 24 different courses. Section sizes ranged from 13 to 1,006. A total of 16,230 test scores were analyzed. The results of this investigation reveal that at the college level, class size may be less important an influence on student achievement than some educators have thought.     

Handling missing data: analysis of a challenging data set using multiple imputation

Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their implications for educational research. We illustrate the issues with an educational, longitudinal survey in which missing data was significant, but for which we were able to collect much of these missing data through subsequent data collection. We thus compare methods, that is, step-wise regression (basically ignoring the missing data) and MI models, with the model from the actual enhanced sample. The value of MI is discussed and the risks involved in ignoring missing data are considered. Implications for research practice are discussed.     

EDUCATIONAL TELEVISION IN THE RESOURCES PLANNING INFRASTRUCTURE OF LOCAL EDUCATION AUTHORITIES

This paper summarizes some of the findings in the first part of a three part IBA Fellowship study on curriculum decision‐making and educational television in secondary schools in England, Wales and Scotland. It focuses on the local education authority (LEA) context in which teachers and others make decisions about using educational television programmes to serve curricular goals. Four LEAs were selected for detailed study and interviews were conducted with officials and teachers to investigate the relationship between LEA decisions and decision‐makers and school decisions and decision‐makers.     

Relative Effects of a Comprehensive Versus Reduced Training for Head Start Teachers Who Serve Spanish-Speaking English Learners

With increased demand for improved early childhood education services, it is important to better understand the essential professional development resources that have the greatest impact on both teacher and child outcomes. This study compared the effectiveness of two teacher-training models in bilingual Migrant and Seasonal Head Start and Head Start classrooms. Both conditions included the use of a technology-based student progress-monitoring tool. The progress monitoring provided detailed feedback on students’ progress 15 across the academic year and helped organize instructional groupings. The comprehensive treatment condition included biweekly professional development sessions, in-class mentoring, and provision of classroom materials, whereas the treatment-control condition included only the provision of a limited set of classroom materials. Across multiple sites in Texas, 49 pretest and posttest teacher observations and bilingual child assessments were collected on a subsample of students (n = 387). Research Findings: Improvements in teaching behaviors were observed in both experimental conditions; no significant differences were observed between teachers across conditions. Three measures of child language and literacy growth differed significantly, favoring the comprehensive treatment model, but most outcomes did not differ significantly between groups. Practice or Policy: Implications of these mixed findings and future research directions are discussed.     

Technology policy and employment

Current social and economic problems as experienced in the UK are placed in the context of long-term trends in labour economics and the impact of new technology. The reasons why technological unemployment has not hitherto been a growing problem are stated and the relationship between technical change and economic recovery is analysed. Policy implications are suggested and the part which universities can play in recovery is discussed.