Educational Technology International

  • 제17권2호
  • /
  • Pages.229-251
  • /
  • 2016
  • /
  • 1598-5776(pISSN)
  • /
  • 2289-0300(eISSN)
한국교육공학회 (The Korean Society for Education Technology)
권호 표지
DOI QR코드

DOI QR Code

A Study on Middle School Students' Smart Media Literacy and Learning in a Context of Online Inquiry-based Mathematics and Science Learning

  • 투고 : 2016.08.30
  • 심사 : 2016.10.05
  • 발행 : 2016.10.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This study was designed to investigate the relationship between middle school students' smart media competency and online learning outcomes. The context of this study was on online inquiry-based mathematics and science learning environment, and four-hundred and fifty-five (455) 7th to 9th grade students in Korea participated in this research. To assess students' smart device competency, Smart Media Literacy Quotient (SMLQ) which consisted of 18 items regarding the operation ability of smart media and its application (14 items) and positive beliefs of smart media (4 items) was administered to each student. The findings of this study first showed that students' smart media literacy varied according to their characteristics such as gender, grade, class (subject), and socio-economic status. Female students' scores were higher in overall smart media literacy operation and learning ability of smart media than male students. 7th grade middle school students represented lower smart media literacy scores, compared to 8th and 9th graders. Also, minority students were significantly lower in smart media literacy, operation and learning ability of smart media, and positive belief of smart media than the non-minority students. Second, overall smart media literacy and operation and learning ability of smart media varied among high, medium, and low score achievers in inquiry tasks. Low scored students in inquiry tasks were significantly lower in overall smart media literacy and operation and learning ability of smart media than medium scored students. Lastly, smart media literacy also varied by students' dropout/completion. Students who dropped out reported significantly lower scores in overall smart media literacy, operation and learning ability of smart media, and positive belief of smart media.

키워드

참고문헌

  1. Aesaert, K., van Braak, J., van Nijlen, D., & Vanderlinde, R. (2015). Primary school pupils' ICT competences: Extensive model and scale development. Computers & Education, 81, 326-344.
  2. Attewell, P. (2001). The first and second digital divides. Sociology of Education, 74, 252-259.
  3. Byun, J. (2013). A Study on Media Literacy Activities on the Critical Thinking Faculty of Learners. The Journal of Educational Information and Media, 19(3), 419-446.
  4. Choi, S. (2008). The relations among use of internet and cellular phone, self-control and academic achievement with middle school students (Unpublished master thesis). Bukyung University, Busan.
  5. Colley, A., & Comber, C. (2003). Age and gender differences in computer use and attitudes among secondary school students: What has changed? Educational Research, 45(2), 155-165
  6. European Commission. (2007). Key competences for lifelong learning. European reference framework. Luxembourg: Office for Official Publications of the European Communities.
  7. Ferro, E., Helbig, N. C., & Gil-Garcia, J. R. (2011). The role of IT literacy in defining digital divide policy needs. Government Information Quarterly, 28(1), 3-10.
  8. Fraillon, J., & Ainley, J. (2010). The IEA international study of computer and information literacy (ICILS). Retrieved from http://icils2013.acer.edu.au/wpcontent/uploads/examples-/ICILS-Detailed-Project-Description.pdf 17 April 2016.
  9. Hargittai, E., & Shafer, S. (2006). Differences in actual and perceived online skills: The role of gender. Social Science Quarterly, 97(2), 432-448.
  10. Hitomi, S., & Kazuhisa, M. (2007). Construction of a learning environment supporting learners' reflection: A case of information seeking on the web. Computers & Education, 49(2), 214-229.
  11. ICT Literacy Panel. (2007). Digital transformation: A framework for ICT literacy. Princeton, NJ: Educational Testing Service. Retrieved from http://www.ets.org/Media/Tests/Information_and_Communication_Technology_Literacy/ictreport.pdf. 18 April 2016.
  12. Imhof, M., Vollmeyer, R., & Beierlein, C. (2007). Computer use and the gender gap: The issue of access, use, motivation, and performance. Computers in Human Behavior, 23(6), 2823-2837
  13. Jang, S. (2014). The effect of students' communication ability, leadership, critical thinking ability, and ICT-literacy on the learner's reflective thinking in the project-based learning environment. The Korean Journal of Educational Methodology Studies, 26(3), 391-407.
  14. Julien, H. & Barker, S. (2009). How high-school students find and evaluate scientific information: A basis for information literacy skills development. Library & Information Science Research, 33, 12-17.
  15. Jun, W., & Hong, S. (2013). A study on development of smart literacy standards of teachers and students in smart learning environments. Journal of Internet Computing and Services, 14(6), 59-70.
  16. Jung, J. (2005). Factors affecting cell phone addiction of high-school students (Unpublished master thesis). Hanrim University, Chuncheon.
  17. Kang, D. (2005). The relationships among internal-external control, academic self-efficacy, overuse of mobile phone and academic achievement (Unpublished master thesis). KyungNam University, Masan Changwon.
  18. Kang, M., Lee, J., Kim, M., & Yoon, N. (2011). Identifying the predictors of learning outcomes in using mathematics digital textbooks. The Journal of Educational Methodology, 23(1), 127-150.
  19. KERIS (2013). 21st century learners' core competencies. Seoul: Korea Education and Research Information Service.
  20. Kim, J., Bang, H., Shin, W., Kang, T., Gwan, M., & Kim, J. (2011) A study on correlation between smart media efficacy and effectiveness of learning through iPad. HCI 2011, 1019-1024.
  21. Kim, E. (2005). Relationship between junior and senior high school students' usage of mobile phones and adaptation to school life (Unpublished master thesis). Jeonju University, Jeonju.
  22. Kim, E. (2007). The differences in self-control and self-regulated learning ability according to cell phone use level. (Unpublished master thesis). Aju University, Suwon.
  23. Korea Ministry of Gender Equality & Family (2013). 2014 Survey on the Media Usage of Youth. Seoul: Korea Ministry of Gender Equality & Family.
  24. Korea Ministry of Gender Equality & Family (2014). 2014 Survey on the Media Usage of Youth. Seoul: Korea Ministry of Gender Equality & Family.
  25. Korea Ministry of Education (2013). '13 Digital textbook development and application, The press release, 2013. 08. 14.
  26. Lee, S. (2014). Analysis of elementary students' smartphone addiction level by demographic features. The Journal of Korean association of computer education, 17(6), 1-8.
  27. Lee, C. & Huang, M. (2014). The influence of computer literacy and computer anxiety on computer self-efficacy: the moderating effect of gender. Cyberpsychology, Behavior, and Social Networking, 17(3), 172-180.
  28. Lee, J., Moon, J., & Cho, B. (2015). The mediating role of self-regulation between digital literacy and learning outcomes in the digital textbook for middle school English. Educational Technology International, 16(1), 58-83.
  29. Lee, W. K., Kim, Y. K., Kim, H. C., Suh, S. S., Jeon, W. C., Han, S. K., Kim, Y. A., & Kim, H. S. (2007). A study on measurement tools development of ICT literacy. Research report KR 2007-18. Seoul: Korea Education and Research Information Service.
  30. Leem, J. (2012). Understanding smart learning. In Woo, Y., Chol, H., Jung, H., Kim., S. (2012). Smart learning environment for activating the building measures continuing education network infrastructure between university. Policy Issues 12-02. Seoul: Ministry of Education and Science Technology․Korea National Open University.
  31. Lim, B. R., Leem, J. H., & Sung, E. M. (2013). What is the concept of smart education and the typology of smart education contents? Journal of Educational Technology, 29(3), 459-489.
  32. Mohammadyari, S., & Singh, H. (2015). Understanding the effect of e-learning on individual performance: The role of digital literacy. Computer & Education, 82, 11-25.
  33. OECD (2009). Education: Korea tops new OECD PISA survey of digital literacy. Retrieved from http://www.oecd.org/hungary/educationkoreatopsnewoecdpisasurveyofdigitalliteracy.htm 17 April 2016.
  34. OECD (2010). PISA 2009 results: Learning to learn: Student engagement, strategies and practices (Volume III). Paris: Author.
  35. OECD (2011). PISA 2009 results: Students on line: digital technologies and performance (Volume VI). Paris: Author.
  36. Papanastasiou, E., Zembylas, M., & Vrasidas, C. (2003). When computer use is associated with negative science achievement. Journal of Science Education and Technology, 12(3), 325-332.
  37. Partnership for 21st century skills. (2009). P21 Framework definitions. Available from http://www.p21.org/
  38. Ritzhaupt, A. D., Liu, F., Dawson, K., & Barron, A. E. (2013). Differences in student information and communication technology literacy based on socioeconomic status, ethnicity, and gender: Evidence of a digital divide in Florida Schools. Journal of Research on Technology in Education, 45(4), 291-307.
  39. Shashaani, L. (1997). Gender differences in computer attitudes and use among college students. Journal of Educational Computing Research, 16(1), 37-51
  40. Sung, E. (2014). The influence of smart media literacy's factors on subject attitude and achievement: Focusing on middle school student's gender differences. Journal of Educational Technology, 30(4), 621-650.
  41. Sung, E. (2015). The relationship of smart media literacy's factors for primary school student on subject attitude and achievement. The Journal of Educational Information and Media, 21(2), 215-243.
  42. Sung, E. & Jin, S. (2012). The effects of cell phone use according to the adolescence gender differences on self-regulated learning and achievement. The Journal of Educational Information and Media, 18(4), 441-467.
  43. U. S. Department of Education (2010). National technology plan 2010. Retrieved from https://www.ed.gov/sites/default/files/netp2010.pdf
  44. Yang. S. (2002). Cell phone addiction of high-school adolescents. Seoul: Korea Institute for Youth Development.
  45. Ziden, A. A., Ismail, I., Spian, R., & Kumutha, K. (2011). The effects of ICT use in teaching and learning on students' achievement in Science subject in a primary school in Malaysia. Malaysia Journal of Distance Education, 13(2), 19-32.