The Journal of the Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회논문지)

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Analysis of Multiple Intelligences and Academic Adjustment Level for Undergraduate Students of IT Major -Focused on C Programming-

IT 학부생의 다중지능과 학문적 적응도 분석 -C 프로그래밍을 중심으로-

  • 유상미 (한성대학교 공과대학) ;
  • 최병수 (한성대학교 멀티미디어공학과)
  • Received : 2014.08.29
  • Accepted : 2014.12.12
  • Published : 2014.12.31
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Abstract

This study analyzed the characteristics of multiple intelligence and the levels of academic adjustment for the department and the major among undergraduate students majoring in IT. Seventy freshmen majoring in IT at the department of M, H University participated in this study and the basic major subject required for the department was Computer Language: I-C Language. Eight intelligence areas less controversial in Gardner's multiple intelligence theory were used; academic adjustment was manipulatively defined as the degree of adjustment for the department and the major among undergraduate students; and pleasure, flow, familiarity and relevance to the major, academic achievement, and major satisfaction were selected as variables through literature review. The undergraduate students majoring in IT showed high levels of interpersonal intelligence and intrapersonal intelligence, with insignificant gender differences. Significant correlations were found between multiple intelligence and academic adjustment. In particular, while pleasure and flow in C programming were found to be at low levels in academic adjustment, the significant correlation between linguistic intelligence in multiple intelligence and flow in C language was a very interesting finding. While significant correlation was not found between multiple intelligence and academic achievement, students who were more highly aware of the relevance to the major and who were more familiar with C language showed higher academic achievement. Lastly, limitations of this study were discussed; on the basis of the results, suggestions were made about prescriptive strategies to improve academic achievement for undergraduate students majoring in IT.

본 연구는 IT 학부생의 다중지능에서의 특성과 학과 및 전공학문에 대한 학문적 적응도를 분석하였다. 연구대상은 H대학 M과의 IT 학부생 1학년 신입생 70명이었고 전공학문은 학과의 기초전공필수인 "컴퓨터언어I-C언어" 과목이었다. 연구는 가드너(Gardner)의 다중지능이론에서 논란의 소지가 적은 8개 지능 영역을 사용하였고, 학문적 적응도는 대학생의 학과와 전공학문에 대한 적응력의 정도라고 조작적으로 정의하고, 변인으로는 선행연구를 통해 흥미, 몰입, 학과전공에 대한 친숙성과 관련성의 정도, 학업성취도 그리고 학과만족도를 선정하였다. 연구결과는 IT 학부생은 다중지능 중 대인지능과 자기이해지능이 강점으로 나타났고 남녀 간의 차이는 유의하지 않았다. 또한, 다중지능과 학문적 적응도 요인 간에 유의미한 상관들이 발견되었다. 특히, 학문적 적응도에서 C프로그래밍 학문에 대해 흥미와 몰입이 낮았지만 다중지능의 언어지능과 C언어에 대한 몰입과의 유의미한 상관은 매우 흥미로운 결과였다. 다중지능과 학업성취도와의 유의미한 상관은 나타나지 않았으나, 전공학문에 대한 관련성을 높게 인식할수록 C언어에 친숙함을 많이 느낄수록 학업성취도가 높은 것으로 조사되었다. 마지막으로 본 연구에서의 제한점을 논의하고, 연구 결과를 토대로 IT학부생의 학문적 적응도를 높이기 위한 처방적 전략에 대해 제언하였다.

Keywords

References

  1. H. Gardner, "Frames of mind: The theory of multiple intelligences". NY: Basic Books, 1983.
  2. H. O. Kim, "A Critical Review of Multiple Intelligences Theory", The Korean journal of the Human Development, Vol. 16, No. 4, pp.1-19, Dec. 2009.
  3. J. U. Kim, & M. S. Kim, "The Effects of Career Group Counseling Based upon Multiple Intelligence Theory on Career Decision-Making, Career Self-Efficacy, and Career Maturity for College Students", The Journal of Carre Education Research, Vol. 25, No. 3, pp. 201-227, Sep. 2012.
  4. J. H. Kim, & Y. L. Moon, "A Study on the Development and Validation of Career Education Program for Adolescents Based on Multiple Intelligences Theory", The Korean Journal of Education Psychology, Vol. 19, No. 2, pp. 393-412, Jun. 2009.
  5. H. Gardner, "Intelligence reframed: Multiple intelligences for the 21st century", NY: Basic Books, 1999.
  6. H. J. Kim, "Validation study of multiple intelligence measurement", Seoul National University, Feb. 1999.
  7. H. K. Shin, & J. S. Lee, "A Longitudinal Study on the Impact of Career Decision Level of High School Students on their College and Major Satisfaction and Academic Adjustment Level with Intrinsic Motivation as mediating variable", Korean Journal of Educational Research, Vol. 45, No. 1, pp. 71-100, Mar. 2007.
  8. B. S. Choi, & S. M. Yoo, "Analysis for SEM of ARCS Factor and Persistent Learning-Intension in Educational Mobile App", The Journal of The Institute of Internet, Broadcasting and Communication(JIIBC), Vol. 13. No. 4, Aug. 2013. https://doi.org/10.7236/JIIBC.2013.13.4.239
  9. W. K. Lee, "An Longitudinal Analysis of Intrinsic Motivation's Effects on the Acceptance of Programming Language", Information Systems Review, Vol. 12, No. 3, Dec. 2010.
  10. K. M. Yun, & S. H. Yoo, "Relationship between Multiple Intelligence and Career Maturity of the Gifted in Science and the Average Middle School Students", Korea Journal of Counseling, Vol. 9, No. 2, pp. 517-536, Jun. 2008. https://doi.org/10.15703/kjc.9.2.200806.517
  11. Y. B. Lee, "Effects of Multiple Intelligence and Environmental Variables on Ego-identity and Career Decision Levels of College Students", Published doctoral dissertation, Konkuk University, 2004.
  12. K. M. Kim, S. G. Yun, H. J. Jeong, & K. H. Lee, "The Relations among the Brain Dominance Thinking Types, Multiple Intelligences and Academic Achievement", The Thinking Development, Vol. 7, No. 2, Jun. 2011.
  13. K. H. Park, " An Analysis on the Relationship of the Linguistic Intelligence and Multiple Intelligence according to the Touth Academic Achievements and Their's Brain Waves", Published doctoral dissertation, Myongji University, 2008.
  14. H. J. Kim, "Validation Study of Multiple Intelligence Measurement", Published master's thesis, Seoul National University, 1999.