Broadcasting management: A report from the APBE‐NAB employment study

The report that follows is based on one section of People in Broadcasting, the initial report of a research study by the Association for Professional Broadcasting Education and the National Association of Broadcasters, Data processing and reporting were supervised by Mr. James H. Hulbert, Manager of Broadcast Personnel and Economics for the NAB. Processing of the new data has only just been started. Volunteers with suggestions for further analysis are urged to write Dr. Glenn Starlin c/o the Journal. An introductory article to this study appeared in the Spring issue.     

Harambee: Working Together to Engender Change in Communities of Color

Working with communities of color to find solutions to the problems they face is a complex and challenging task. The “It Takes a Village” concept and the Transtheoretical Model of Change (Prochaska, Norcross, and DiClemente 1994) were used by the authors of this article in their work to empower clients of color to effect change in their communities. The narratives by these authors, European-American and African-American practitioners and educators, incorporate accounts of advocacy and social justice initiatives as they describe their interactions with grassroots organizations, such as educational and faith-based institutions, within communities of color.     

Student Characteristics That Predict Persistence in Community College Online Courses

Abstract

This study examined the student characteristics of learning style, locus of control, computer experience and access, and online course experience on persistence of community college students in online courses. An online survey instrument based on the Barsch Learning Style Inventory (1996 Barsch, J. 1996. Barsch learning style inventory, Novato, CA: Academic Therapy Publications.  [Google Scholar]), the Abbreviated Measure of Internal–External Locus of Control (1974), and a computer experience scale that was developed by the researchers was completed by 225 students enrolled in online courses at five Florida community colleges. Logistic regression analysis identified a three-variable model (auditory learning style, grade point average, and basic computer skills) that was significant in predicting online student success. Academic and student support interventions are suggested for community college students who may be affected by these predictors.