A Comprehensive Student-Based Analysis Of Hybrid Courses: Student Preferences And Design Criteria For Success

  • Mosca J
  • Ball D
  • Buzza J
  • et al.
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Abstract

Online leaning in all forms has become the largest segment of growth in the education model over the last 10 years. Our paper focuses on the general area of computer-assisted learning, a method that uses interactive software as an aid to learning, and more specifically on blended courses - courses that are taught congruently online and in a traditional setting. Our paper examines the methodology of such innovation and details the steps necessary to institute such a program in main-stream teaching. Our paper will also help make more clear the learning intentions and show how students can achieve success while instructors take advantage of new-age methods to help them become more versed in the art of teaching. We will identify the necessary steps that students must take prior to enrolling in these courses, examine the requirements, and commitments that institutions must make to implement such a curriculum and show how the instructors must prepare themselves for the rigors that lie ahead in making this course both enjoyable and educational. A comprehensive survey and statistical analysis was conducted and the results presented in this paper to support any conclusions and recommendations. E-learning is offered in many forms throughout the world. Today, you can secure a bachelors, masters or even doctoral degree totally online. Students will continue to supplement a very busy work/life balance with online education, therefore we feel our paper addresses these concerns now and in the future and show not only the importance of this methodology, but how a simple seamless integration of this process is possible for institutions of higher learning.

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APA

Mosca, J. B., Ball, D. R., Buzza, J. S., & Paul, III, D. P. (2010). A Comprehensive Student-Based Analysis Of Hybrid Courses: Student Preferences And Design Criteria For Success. Journal of Business & Economics Research (JBER), 8(5). https://doi.org/10.19030/jber.v8i5.715

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