Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Convergent Factors Related to TOEIC Learning Flow of Some College Students in Health Care

보건계열 일부 대학생의 토익 학습몰입과 관련된 융복합적 요인

  • Hong, Soomi (Dept. of Health Administration, Vision University of Jeonju) ;
  • Bae, Sang-Yun (Dept. of Health Administration, Vision University of Jeonju)
  • 홍수미 (전주비전대학교 보건행정학과) ;
  • 배상윤 (전주비전대학교 보건행정학과)
  • Received : 2018.08.30
  • Accepted : 2018.11.20
  • Published : 2018.11.28
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Abstract

This study investigates convergent factors to TOEIC learning flow among some health college students in TOEIC class. The questionnaire was performed on 255 health college students in TOEIC class from college located in J area from May 1st, 2018 to May. 25th, 2018 by using an unregistered self-administered questionnaire. The hierarchical multiple regression analysis shows the following results. The TOEIC learning flow of respondents turned out to be significantly higher in following groups: a group in which self efficacy is higher, a group in which academic control is higher, a group in which school resilience is higher. The results show explanatory power of 43.4%. As the results of the study, it is necessary to make an effort to increase self efficacy, academic control and school resilience to improve the TOEIC learning flow among health college students. These results can be used in development and operation of TOEIC learning program to higher TOEIC learning flow in health college students. Further studies need the analysis of structural equation model effecting TOEIC learning flow of health college students.

본 연구는 보건계열 일부 대학생의 토익 학습몰입과 관련된 융복합적 요인들을 조사하였다. 설문조사는 2018년 5월 1일부터 2018년 5월 25일까지 J지역에 소재한 대학의 보건계열 토익학습반에서 임의로 선정된 대학생 255명에 대하여 무기명 자기기입식 설문지를 사용하였다. 위계적 다중회귀분석 결과, 자기효능감이 높을수록, 학업통제감이 높을수록, 학교적응유연성이 높을수록 토익 학습몰입이 높았으며 이들의 설명력은 43.4%이었다. 연구결과를 볼 때, 보건계열 대학생의 토익 학습몰입을 높이기 위해서는 자기효능감, 학업통제감 및 학교적응유연성을 높이는 노력이 필요하다. 이러한 결과는 보건계열 대학생의 토익 학습몰입을 높이는 토익학습 프로그램 개발 및 운영에 활용될 수 있다. 추후연구에서는 보건계열 대학생의 토익 학습몰입에 영향을 미치는 구조방정식 모형의 분석이 필요하다.

Keywords

Table 1. TOEIC learning flow according to general characteristics

DJTJBT_2018_v16n11_383_t0001.png 이미지

Table 2. TOEIC learning flow according to self efficacy, academic control and School resilience

DJTJBT_2018_v16n11_383_t0002.png 이미지

Table 3. Hierarchial multiple regression of selected variables on TOEIC learning flow

DJTJBT_2018_v16n11_383_t0003.png 이미지

References

  1. S. H. Kim & S. Y. Bae. (2018). Analysis of convergent factors related to occupational stress among general hospital administrative staff. Journal of Digital Convergence, 16(4), 259-265. DOI : 10.14400/JDC.2018.16.4.259
  2. S. Y. Bae & S. H. Kim. (2018). Analysis of convergent influence of organizational justice, self esteem and self efficacy on occupational stress among some regional general hospital administrative staff. Journal of Digital Convergence, 16(5), 309-315. DOI : 10.14400/JDC.2018.16.5.309
  3. S. Y. Bae & S. H. Kim. (2018). Analysis of convergent influence of organizational commitment questionnaire, type A behavior pattern and depression on job burnout among hospital administrative staff. Journal of Digital Convergence, 16(3), 345-351. DOI : 10.14400/JDC.2018.16.3.345
  4. S. H. Kim & S. Y. Bae. (2018). A study on the convergent factors related to depression among some administrative staff in general hospital. Journal of Digital Convergence, 16(6), 251-258. DOI : 10.14400/JDC.2018.16.6.251
  5. S. M. Hong, S. H. Kim & S. Y. Bae. (2017). A study on convergence factors related with academic burnout of students in health majors in studying for TOEIC. Journal of Digital Convergence, 15(6), 315-327. DOI : 10.14400/JDC.2017.15.6.315
  6. S. M. Hong, S. H. Kim & S. Y. Bae. (2017). An analysis on structure equation model of convergent influence on academic burnout of health major students in studying for TOEIC. Journal of Digital Convergence, 15(7), 329-342. DOI : 10.14400/JDC.2017.15.7.329
  7. S. M. Hong & S. Y. Bae. (2018). Convergent influence of job seeking stress, self efficacy and academic burnout on TOEIC test anxiety at TOEIC study among health college students. Journal of Digital Convergence, 16(7), 289-298. DOI : 10.14400/JDC.2018.16.7.289
  8. M. Csikszentmihalyi, Creativity: Flow and the psychology of discovery and invention(1st ed.), NY: Harper Collins Publishers, 1996. DOI : 10.1177/001698629704100309
  9. S. I. Han & S. Y. Lee. (2012). Influence of undergraduate students' English proficiency and active class participation on academic self-efficacy, class satisfaction, and academic achievement. The Journal of Yeolin Education, 20(2), 103-125. UCI : G704-001282.2012.20.2.004
  10. Y. S. Lee. (2017). Analysis on the effects of English mediated instruction at universities: Focusing on students' academic self-efficacy and self-concept of English communication. Journal of Research in Curriculum & Instruction, 21(2), 84-99. DOI : 10.24231/rici.2017.21.2.84
  11. H. Y. Eun. (2018). A study of learning strategies and self-efficacy of university learners in Korea in English reading course. LAK Journal, 26(1), 199-218. DOI : 10.24303/lakdoi.2018.26.1.199
  12. H. J. Oh. (2012). The relationship between self-efficacy and TOEIC achievement. English Language Teaching, 24(3), 299-319. DOI : 10.17936/pkelt.2012.24.3.014
  13. C. K. Park. (2017). Analysis on the difference of motivation and self-efficacy depending on academic achievement in TOEIC. Journal of The English Language and Literature, 59(3), 319-339. DOI : 10.18853/jjell.2017.59.3.016
  14. M. Y. Shin. (2013). Aspects of motivation and self-efficacy depending on academic performances in TOEIC. Journal of The English Language and Literature, 55(4), 303-330. DOI : 10.18853/jjell.2013.55.4.014
  15. K. S. Park & I. S. Oh. (2016). The effect of self-determination motivation and self-efficacy on student engagement: Focusing on the mediating effect of English subjects interest. Journal of Research in Curriculum & Instruction, 20(4), 295-305. DOI : 10.24231/rici.2016.20.4.295
  16. J. W. You. (2012). The relationship among academic procrastination, self-regulated learning, fear, academic self-efficacy and perceived academic control in e-learning. The Journal of Educational Information and Media, 18(3), 249-271. UCI : G704-000750.2012.18.3.006
  17. F. Faul, E. Erdfelder, A. Lang & A. Buchner. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175-191. DOI : 10.3758/BF03193146
  18. R. M. Tipton & E. L. Worthington. (1984). The measurement of generalized self-efficacy: A study of construct validity. J Pers Assess, 48(5), 545-548. DOI : 10.1207/s15327752jpa4805_14
  19. S. M. Yang. (2000). The development and effectiveness of group program on empowerment for the parents with mentally retarded adults, Doctoral Dissertation. Seoul National University, Seoul. UCI : G901:A-0004899932
  20. R. Karasek, C. Brisson, N. Kawakami, I. Houtman, P. Bongers & B. Amick. (1998). The job content questionnaire(JCQ): An instrument for internationally comparative assessments of psychosocial job characteristics. Journal of Occupational Health Psychology, 3(4), 322-355. DOI : 10.1037/1076-8998.3.4.322
  21. Y. B. Lee, S. M. Lee & J. Y. Lee. (2009). Development of korean academic burnout scale. The Korea Educational Review, 15(3), 59-78. UCI : G901:A-0003064058
  22. A. S. Masten & J. D. Coastworth. (1998). The development of competence in favorable and unfavorable environment: Lessons from research on successful children. American Psychologist, 53, 205-221. DOI : 10.1037/0003-066X.53.2.205
  23. H. S. Park. (1998). The school resilience of Korean adolescents in poverty, Doctoral dissertation, Seoul National University, Seoul. UCI : G901:A-0004796457
  24. A. Y. Kim, H. Y. Tack & C. H. Lee. (2010). The development and validation of a learning flow scale for adults. KJEP, 24(1), 33-39. UCI : G901:A-0002788237
  25. Y. S. Hwang & Y. M. Seo. (2017). A study on the effect of pro-environmental consumers on environmental education utilizing value-attitude-behavior model. Journal of the Korea Convergence Society, 8(7), 273-282. DOI : 10.15207/JKCS.2017.8.7.273
  26. J. H. Kim & M. K. Park. (2018). Effects of self-determination motivation to learning flow on in self-regulated learning : Mediating effect of metacognition. Journal of the Korea Convergence Society, 9(2), 349-357. DOI : 10.15207/JKCS.2018.9.2.349
  27. J. W. Kim, S. J. Park, G. Y. Min & K. M. Lee. (2017). Virtual reality based situation immersive English dialogue learning system. Journal of Convergence for Information Technology, 7(6), 245-251. DOI : 10.22156/CS4SMB.2017.7.6.245
  28. H. K. Lee, L. A. Kim, J. E. Kim, Y. R. Lee, J. M. Lee, H. S. Han & H. K. Hwang. (2017). Converged factors affecting learning flow in nursing college students. Journal of Convergence for Information Technology, 7(5), 15-23. DOI : 10.22156/CS4SMB.2017.7.5.015