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Stone, Wilton, Jr. – ProQuest LLC, 2014
According to the U.S. Department of Education National Center for Education Statistics, students in the United States routinely perform poorly on international assessments. This study was focused specifically on the problem of the decrease in the number of middle school students meeting the requirements for one state's standardized tests for…
Descriptors: Middle School Students, State Standards, Language Arts, Mathematics Achievement
Gunay, Nihal – ProQuest LLC, 2013
The student demand for online learning is forcing college administrators to identify faculty who have expertise in their discipline, technological skills sufficient to navigate the demands of online teaching, and willingness to be involved in online teaching. Before this work had been started, the review of literature indicated that research had…
Descriptors: Online Courses, College Faculty, Technical Education, Teacher Attitudes
Gulten, Dilek Cagirgan; Yaman, Yavuz; Deringol, Yasemin; Ozsari, Ismail – Turkish Online Journal of Educational Technology - TOJET, 2011
Nowadays, "lifelong learning individual" concept is gaining importance in which curiosity is one important feature that an individual should have as a requirement of learning. It is known that learning will naturally occur spontaneously when curiosity instinct is awakened during any learning-teaching process. Computer self-efficacy…
Descriptors: Personality Traits, Self Efficacy, Lifelong Learning, Measures (Individuals)

Maurer, Matthew M. – Computers in Human Behavior, 1994
Research suggests that computer anxiety and computer experience are related. Some relationship between age and gender and computer anxiety has been suggested but not sufficiently examined. Other relationships have been explored with little result, and little is known about mediating computer anxiety. A model of the development of computer anxiety…
Descriptors: Academic Achievement, Computer Anxiety, Computer Attitudes, Computer Literacy
Contreras, Carlos L. M. – Quarterly Review of Distance Education, 2004
Demographic and personality variables and computer use were used to predict computer self-confidence with a sample of students enrolled in online college-credit classes. Computer self-confidence was measured with one 10-choice question. Demographic variables included age, annual income, geographic region, gender, and ethnicity. Computer use was…
Descriptors: Income, Age Differences, Ethnic Groups, Gender Differences