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Online Learning and Dropout Prevention in K-12 education
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, Jackson State University, United States ; , Purdue University, United States

Society for Information Technology & Teacher Education International Conference, in Las Vegas, NV, United States ISBN 978-1-939797-13-1 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA

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Abstract

This paper provides an overview of dropout issues and the potentials of the use of educational technology in decreasing the number of dropouts. It starts with a report of the facts of dropouts in the United States and Mississippi as well as the factors that cause dropouts. Then, the paper continues with an overview of educational technology, indicating the role of educational technology in dropout prevention, the trend of online learning in K-12 education, and a discussion of how the use of educational technology and online learning can be an effective approach to facilitating students with low-performance in the learning process. A summary and recommendations are provided for future school leaders, administrators, or teachers who are interested in applying online or blended learning for at-risk or dropped-out students.

Citation

Kuo, Y.C. & Kuo, Y.T. (2015). Online Learning and Dropout Prevention in K-12 education. In D. Rutledge & D. Slykhuis (Eds.), Proceedings of SITE 2015--Society for Information Technology & Teacher Education International Conference (pp. 364-373). Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE). Retrieved March 5, 2021 from .

© 2015 Association for the Advancement of Computing in Education (AACE)

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References

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  1. AECT (1977). The definition of educational technology. Washington, D.C.: AECT. Alliance for Excellent education. (2011). The high cost of high school dropouts:What the nation pays for inadequate high schools. Retrieved from http://all4ed.org/wp-content/uploads/2013/06/HighCost.pdf Apena, T.T. (2012). Information and communication technology and open distance learning, impact and challenges. International Journal of Social Sciences and Education, 2(1), 440-446.
  2. Artino, A.R. (2007). Online military training: Using a social cognitive view of motivation and self-regulation to understand students' satisfaction, perceived learning, and choice. Quarterly Review of Distance Education, 8(3), 191-202.
  3. Corry, M., & Carlson-Bancroft, A. (2014). Transforming and turning around low-performing schools: The role of online learning. Journal of Educators Online, 11(2), 1-31.
  4. Digest of Education Statistics. (2013). 2012 Digest Tables. Retrieved from http://nces.ed.gov/programs/digest/2012menu_tables.asp DiPietro, M., Ferdig, R.E., Black, E.W., & Preston, M. (2008). Best practices in teaching K-12 online: Lessons learned from Michigan virtual school teachers. Journal of Interactive Online Learning, 7(1), 10-35.
  5. Harper, S., & Boggan, M. (2011). Opinions, benefits, and weaknesses of virtual high school and compressed video courses in a rural Mississippi high school. Journal of Technology Integration in the Classroom, 3(2), 37-39.
  6. Hawkins, A., Graham, C.R., Sudweeks, R.R., & Barbour, M.K. (2013). Academic performance, course completion rates, and student perception of the quality and frequency of interaction in a virtual high school. Distance Education, 34(1), 64-83.
  7. Jung, I., Choi, S., Lim, C., & Leem, J. (2002). Effects of different types of interaction on learning achievement, satisfaction and participation in web-based instruction. Innovations in Education& Teaching International, 39(2), 153-162.
  8. Kuo, Y.C., Walker, A., Schroder, K.E.E., & Belland, B.R. (2014). Interaction, Internet self-efficacy, and selfregulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35-50. Doi:10.1016/J.iheduc.2013.10.001
  9. Meeker, S.D., Edmonson, S., & Fisher, A. (2009). The voices of high school dropouts: Implications for research and practice. International Journal on School disaffection, 6(1), 40-52.
  10. Moore, M.G. (1989). Three types of interactions. The American Journal of Distance Education, 3(2), 1-6.
  11. National Center for Education Statistics. (2013). Fast Facts: Dropout rates. Retrieved from http://nces.ed.gov/programs/coe/indicator_coj.asp National Center for Education Statistics. (2014). Public high school four-year on-time graduation rates and event dropout rates: School years 2010–11 and 2011–12. Retrieved from http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2014391
  12. Queen, B., & Lewis, L. (2011). Distance education courses for public elementary and secondary school students: 2009–10 (NCES 2012-008). U.S. Department of Education, National Center for Education Statistics. Washington, DC: Government Printing Office.
  13. Reimer, M., & Smink, J. (2005). 15 effective strategies for impriving student attendance and truancy prevention. Retrieved from https://www.dpi.state.nd.us/title1/progress/present/15ways.pdf Ritzhaupt, A.D., Liu, F., Dawson, K., & Barron, A.E. (2013). Differences in student information and communication technology literacy based on socio-economic status, ethnicity, and gender: Evidence of a digital divide in Florida Schools. Journal of Research on Technology in Education, 45(4), 291-307.
  14. Roblyer, M.D. (2006). Virtually successful: Defeating the dropout problem through online school programs. Phi Delta Kappan, 88(1), 31-36.
  15. Rumberger, R.W., & Lim, S.A. (2008). Why students dropout of school: A review of 25 years of research. Santa Barbara, CA: University of California, Santa Barbara.
  16. Smith, A. (2014). Older adults and technology use. Washington, D.C.: Pew Research Center.
  17. Smith, R., Clark, T., & Blomeyer, R. (2005). A synthesis of new research in K-12 online learning. Naperville, IL: Learning Point Associates.
  18. Watson, J., & Gemin, B. (2008). Using online learning for at-risk students and credit recovery. Vienna, VA: NACOL.

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