Final Annotated bibliography

Annotated Bibliography

Chan, T. F. I., Borja, M., Welch, B., & Batiuk, M. E. (2016). Predicting the probability for faculty adopting an audience response system in higher education. Journal of Information Technology Education: Research, 15(1), 395-407.

The authors of this article established the attributes of the innovation diffusion model by Rogers which led to the prediction of institutional adoption of the audience response system into instruction. Based on faculty innovation diffusion model by Rogers, faculty provided survey data whose measurement was carried out on a seven-point Likert scale. A combination of statistical analysis method and the binary regression was used by the authors so as to establish the sample size of the faculty. An exploratory factor analysis was as well conducted on the survey data by applying the dimension reduction function in the SPSS. The study concluded by determining the opportunities available for support and integration were required by the faculty so as to help in the implementation on ARS onto their academic objectives.

There was an efficient framing of the theoretical framework, research question and design and were all significant to purpose of the research even though the purpose statement was not clear. A non-experimental, quantitative, method was applied in addition to Benbasat and Moore instrument for validity and reliability. Categorical scales were used to collect demographic information so as to prevent the participants from being identified. The sample size was, however, inadequate.

Through this study, a great contribution was made in higher education instruction and in the field of technology integration. The literature supported the study and it had the potential to fill the gap though there were the presence of a few limitations. Firstly, the sample obtained was limited to faculty at a single university. Also, the study utilized the application of the audience response system technology. To ensure that the study is not biased, future studies should utilize a larger sample.

This study was of my interest because I have an interest in studying innovative technology. To improve the learning of the students, educators should consider integrating new information as well as technology into the curriculum in ways which are more meaningful. So as to help the teachers recognize the digital gap which poses as a symptom of inequities which are larger, I would like to come up with an innovative program for professional development. Despite the limitations in this study, I found it useful to my areas of interest in research.