대한치과기공학회지 (Journal of Technologic Dentistry)

  • 제42권3호
  • /
  • Pages.248-253
  • /
  • 2020
  • /
  • 1229-3954(pISSN)
  • /
  • 2288-5218(eISSN)
대한치과기공학회 (Korean Academy of Dental Technology)
권호 표지
DOI QR코드

DOI QR Code

실습 수업에서 일부 치기공과 학생들의 블렌디드 러닝과 전통적인 면대면 수업 비교 연구

A comparison of blended learning and traditional face-to-face learning for some dental technology students in practice teaching

  • 강월 (대구보건대학교 치기공과) ;
  • 김임선 (대구보건대학교 치기공과)
  • Kang, Wol (Department of Dental Laboratory, Daegu Health College) ;
  • Kim, Im-sun (Department of Dental Laboratory, Daegu Health College)
  • 투고 : 2020.07.27
  • 심사 : 2020.08.18
  • 발행 : 2020.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Purpose: This study aimed to verify whether blended learning is worth alternating with traditional face-to-face learning for some dental technology students in practice teaching. Methods: A total of 68 students were included in this study. They were divided into two groups to compare blended learning and traditional face-to-face learning. The experiment had been carried out over 15 weeks. The following tests were performed: test of instructional quality, test of learning satisfaction, test of perceived usefulness, and test of learning flow. The IBM SPSS software was used to analyze the data. Results: The learning satisfaction and the perceived useful of blended learning by students appeared to be higher than that of traditional face-to-face learning. However, there was no significant difference in the variables of traditional face-to-face learning and those of blended learning (p<0.05). Conclusion: Blended learning is an alternative to traditional face-to-face learning for some dental technology students in practice teaching.

키워드

참고문헌

  1. Lim BN, Lim JH, Goh JK. A study on the current status and activation strategy of e-learning in higher education. J Korea Multimed Soc. 2004;8:16-30.
  2. Kim BN. A comparison study on the instruction effects of blended learning and traditional face-to-face learning in university [master's thesis]. Seoul: Sungshin Women's University, 2006.
  3. Dean PJ, Stahl MJ, Sylwester DL, Peat JA. Effectiveness of combined delivery modalities for distance learning and resident learning. Q Rev Distance Educ. 2001;2:247-254.
  4. Lee SK, Kwon SS. A study on the satisfaction of dental laboratory technology and curriculum demands. J Kor Aca Den Tec. 2019;41:337-345. https://doi.org/10.14347/KADT.2019.41.4.337
  5. Cho MH, Lee GY, Nam SE. A study on the need for improvement of digital education(CAD/CAM) in dental technology curriculum. J Learn Cent Curric Instr. 2019;19:1385-1397.
  6. Choi UJ, Yu SH. A research on the department satisfaction of department of dental technology students. J Kor Aca Den Tec. 2012;34:263-271. https://doi.org/10.14347/kadt.2012.34.3.263
  7. Kang W, Pak YK, Han MS, Kim WC, Kim JH. A study on the relationship between blended learning interesting and satisfaction on students majoring in dental technology. J Kor Aca Den Tec. 2016;38:237-245. https://doi.org/10.14347/kadt.2016.38.3.237
  8. Chei MJ. Analysis of structural relationship among instructional quality, academic emotions, perceived achievement and learning satisfaction in offline & online university lectures [doctoral dissertation]. Seoul: Konkuk University, 2016.
  9. Kim SH, Chung OB. A study on the perception and the satisfaction with learning on human development and family relations area of the 6th revision of middle school Home Economics Education curriculum. J Korean Home Econ Educ Assoc. 1997;9:47-67.
  10. Kim SY. An exploration of the student's learning motivation, attitude and self-efficacy in leisure sport leader training course through the problem-based learning [doctoral dissertation]. Seoul: Hanyang University, 2008.
  11. Noh J. Predictability of learning satisfaction and achievement by the m-learning-efficacy, ubiquity, perceived usefulness, and perceived ease of use in m-learning circumstance [master's thesis]. Seoul: Ewha Womans University, 2013.
  12. Ahn J, Yi SH. Factors associated with usage intention of smart technology in long-term care facilities: based on the Technology Acceptance Model(TAM & TAM2). Korean J Gerontol Soc Welf 2015;68:357-387.
  13. Lee E. The structural relationship among parental attitudes, liberal classroom climate, bicultural competence, academic resilience, and learning flow of middle school students from multicultural families in rural area [doctoral dissertation]. Seoul: Seoul National University, 2018.
  14. Lee JY, Lee EJ. Influence analysis of system, information and service qualities on learner satisfaction in university e-learning. Ewha J Educ Res. 2010;41:119-147.
  15. Chung J, Lim K. Effect analysis of factors related to the learner participation, achievement, and satisfaction in the web-based online discussion. J Educ Technol. 2000;16:107-135. https://doi.org/10.17232/KSET.16.2.107
  16. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13:319-340. https://doi.org/10.2307/249008
  17. Agarwal R, Karahanna E. Time flies when you're having fun: cognitive absorption and beliefs about information technology usage. MIS Q. 2000;24:665-694. https://doi.org/10.2307/3250951
  18. Lee JK, Kim JK. A study on use motives for and effects of e-learning among college students in the fields of science and engineering vs. humanities and social science. Speech Commun. 2014;24:76-111.
  19. Lee YE. Effects of the collective efficacy and self-directed learning ability on learning satisfaction among studygroup participating public officials [doctoral dissertation]. Seoul: Soongsil University, 2011.
  20. Lim MJ, Baek HG. Study on various factors associated with the effects of cyber home study in Korean language education based on Structural Equation Model. J Digit Converg. 2008;6:83-91.
  21. Lee W, Lee J. The influence of learning environment and learners' self-efficacy on the effectiveness in e-learning. J MIS Res. 2006;16:1-21.
  22. Henss SR. A comparison of traditional and web-based floral design courses [master's thesis]. College Station: Texas A&M University, 2003.
  23. Lim BR, Leem JH. E-learning status in higher education and its implications for policy-making. Seoul: Korea Education and Research Information Service; 2004 Dec. Report No.: KR2004-25.
  24. Kim JH. A structural analysis of factors affecting the participants' learning flow in adult learning programs [doctoral dissertation]. Seoul: Seoul National University, 2003.
  25. Hong W. The effects of segmenting time of the video lecture on learning outcomes [master's thesis]. Seoul: Seoul National University, 2013.
  26. Piccoli G, Ahmad R, Ives B. Web-based virtual learning environments: a research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Q. 2001;25:401-426. https://doi.org/10.2307/3250989

피인용 문헌

  1. 치기공과 및 치위생과 학생의 대면/비대면 강의 품질 인식 수준과 만족도 vol.42, pp.4, 2020, https://doi.org/10.14347/jtd.2020.42.4.379