Research Article
Casimir C. Barczyk, Emily Hixon, Janet Buckenmeyer, Heather Zamojski
CONT ED TECHNOLOGY, Volume 3, Issue 2, pp. 99-114
ABSTRACT
Students at a regional campus of a Midwestern university were surveyed using an online questionnaire to determine their ownership, skill, and use of technological devices. Four hundred ninety-three students responded to the survey. It was found that the survey sample mirrored the student population at the university. Students owned and used a wide variety of electronic devices. Eighty five percent of the students owned laptop computers, 62% digital phones, 60% desktop computers, and 52% gaming systems. Students used electronic devices an average of 6.03 hours per week on classroom activities and 3.93 hours per week surfing the Internet for pleasure. They perceived themselves as being very skilled at using email, surfing the web, and word processing. It was also found that there was a significant correlation between students’ ownership of and skill with educational technology and their experience with Blackboard. Technological barriers were found to have a negative impact on students’ experience with Blackboard. Those barriers also negatively impacted their technological use and skill. A simple linear regression model explains that students’ experience with Blackboard is enhanced by having greater skill with technology, but is diminished when confronted with technological barriers. Implications for course design are discussed.
Keywords: Educational Technology, Post-Secondary Education, Student Experience with Technology, Barriers to Use Technology, Course Design
Research Article
Yavuz Akbulut
CONT ED TECHNOLOGY, Volume 1, Issue 4, pp. 322-334
ABSTRACT
A recent survey study with 2515 pre-service teachers suggested an underlying structure to shelter ICT integration indicators. Eleven indicators were extracted, which were Teaching-Learning Methods, E-learning, E-interaction, Learning Communities, Infrastructure, Access, Ease of Use, Technical Assistance, Policy, Special Education and Health. In addition, the study provided interrelationships among variables which could lead to an ICT integration model for teacher training institutions. The current study administered the survey to 255 pre-service teachers to confirm the suggested factor structure. Based on the relationships among constructs that were provided in the previous study, second-order analyses were conducted revealing a potential pathway to an ICT integration model. The model indicated that the Policy of the institutions was at the center predicting Infrastructure, Special Education, Health and Teaching-Learning Methods. Infrastructure predicted Access, Ease of Use and Technical Assistance; whereas Teaching-Learning Methods predicted E-interaction, E-learning and Learning Communities. Implications and recommendations for further research are provided.
Keywords: Country-specific developments, Post-secondary education, Teacher training, ICT integration, Structural equation modeling