Relationships Among Measures as Empirical Evidence of Validity: Incorporating Multiple Indicators of Achievement and School Context

In this article we examine empirical evidence on the criterion, predictive, transfer, and fairness aspects of validity of a large-scale language arts performance assessment, referred to as the Performance Assignment (PA). We use multilevel models to avoid biased inferences that might result from the naturally nested data. Specifically, we examine the relationships of the assessment with the Stanford Achievement Test, 9th Edition and the California High School Exit Examination. The results indicate that the measures are related, that students demonstrate a degree of transfer, and that the language arts PA is relatively more fair than comparison assessments. The results are robust to various model specifications and demonstrate that benefits do not accrue to all students equally.     

THE IMPACT OF COLLECTIVE BARGAINING ON FACULTY COMPENSATION IN COMMUNITY COLLEGES

This study examines the impact of collective bargaining on faculty compensation at two‐year colleges over the period 1970‐81. The results show that faculty at unionized community colleges have not experienced significantly greater increases in compensation than their nonunionized brethren. In fact, the nonunion institutions actually experienced higher relative gains in compensation for the first three years after the unionized colleges first engaged in collective bargaining.     

Measuring the quality of e‐learning

This paper shows how concept mapping can be used to measure the quality of e‐learning. Six volunteers (all of them 3rd‐year medical students) took part in a programme of e‐learning designed to teach the principles of magnetic resonance imaging (MRI). Their understanding of MRI was measured before and after the course by the use of concept mapping. The quality of change in individuals' maps was assessed using criteria developed to distinguish between meaningful and rote‐learning outcomes. Student maps were also scored for evidence of conceptual richness and understanding. Finally, each map was compared directly with the content of the electronic teaching material. The results show that many of the student misconceptions were put right in the course of their learning but that many of the key concepts introduced in the teaching were ignored (or sometimes learnt by rote) by the students. This was because the teaching material locked these new ideas in structures and terminology that precluded meaning‐making among non‐experts. Our data suggest that students' prior knowledge is a key determinant of meaningful learning. We suggest that this must be acknowledged if the design and use of electronic teaching material is also to be meaningful. Ultimately, measures of student learning are the only authentic indicators of the quality of teaching through technology.     

Does Inducing Students to Schedule Lecture Watching in Online Classes Improve Their Academic Performance? An Experimental Analysis of a Time Management Intervention

Research in Higher Education - Time management skills are an essential component of college student success, especially in online classes. Through a randomized control trial of students in a...     

Letting girls speak out about science

The purpose of this study was to try to determine what influences girls to choose science. Forty girls were interviewed in Grades 2, 5, 8, 11 using a semistructured protocol. The interview focused on feelings about science, science careers, peer and parental support, and how science is taught. To determine whether their responses were based on gender, each girl was asked to respond to questions as if she were a boy. The girls were highly self-confident and positive about science. All of the girls took a strong equity position and asserted that women can and should do science. The girls liked learning science in an interactive social context rather than participating in activities that isolated them such as independent reading, writing, or note taking. Those who chose science careers were drawn to them because of strong affective experiences with a loved one and a desire to help. The interviews were analyzed through the framework of women's affective and psychological needs.