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온라인 교육에서 성실한 학습 태도가 학업 성취도에 미치는 영향 분석

Analysis of the Effect of Sincere Learning Attitudes on Academic Achievement in On-line Education

  • 이은주 (한국교육개발원 디지털교육연구센터) ;
  • 정영식 (전주교육대학교 컴퓨터교육과)
  • 투고 : 2019.10.14
  • 심사 : 2019.10.27
  • 발행 : 2019.10.31

초록

방송고 학습자의 배경 변인별 학습 현황과 학습 태도에 따라 형성평가 결과가 차이가 있는지를 탐색하고자 2018년 1학기동안 방송고 사이버교육시스템을 통해 영어, 수학, 통합사회, 통합과학을 학습한 1학년 2,965명의 로그데이터를 분석하였다. 학습자의 성별, 연령, 소속 학교의 지역에 따라 학습 현황을 살펴보았으며 차시당 학습 횟수, 진도율, 학습 기간, 학습 시작 월, 차시별 형성평가 성적 등을 분석하였다. 또한 학습 성실도를 파악하기 위해 차시별 학습 빈도를 포함하여 왜도와 첨도를 구하여 성실한 학습 태도가 학업 성취에 미치는 영향을 검증하였다. 그 결과, 차시당 평균 학습 횟수, 학습 기간, 진도율, 성적 등 거의 모든 분야에서 여성이 남성보다 높게 나타났고 연령별로는 대체로 나이가 많은 수록 높게 나타났다. 지역별로는 서울 지역이 다른 지역보다 높게 나타났다. 방송고 학습자들의 평균 학습 기간은 2~3개월인 것으로 나타났고 학습 기간이 길수록 형성평가 성적도 높은 것으로 나타났다. 마지막으로 특정 시기에 집중하여 학습하는 학습자보다 학습 횟수가 짧더라도 꾸준히 학습하는 학습자들의 형성평가 점수가 높은 것으로 나타났다.

In order to explore the learning attitude of the learners and the effects of conscious learning attitudes on academic achievement in On-line education system of open high school, we analyze the log data of 2,965 first graders who studied English, Math, Integrated Society and Integrated Science during the first semester of 2018. This study examines the learning status according to the learner's background variables, and analyzes the number of lessons per hour, learning progress rate, learning period, learning start month, and formative evaluation results for each class. In addition, to verify the effects of conscious learning attitude on academic achievement, skewness and kurtosis are calculated by using learning frequency values for each class. As a result, in almost all fields, the average number of lessons per class, study duration, progress rate, and grades, women are higher than men. In addition, the older ones are, the higher they are and the Seoul area is higher than the other area. The average learning period is 2~3 months, and the longer the learning period, the higher the formative evaluation score. Lastly, even though the number of learning is lower than that of learners who concentrate on a certain period of time, the formation scores of learners who learn consciously are higher.

키워드

참고문헌

  1. Costa, P. T., & McCrae, R. R. (1992). NEO-PI-R professional manual. Odessa, FL: Psychological Assessment Resources.
  2. Donghee Han, Byungjune Chun(2015). Analysis of Learning Type Factors that Affect e-learning Performance : Centering on the Comparison Analysis of Whole Learners Log and Excellent Learners. Journal of the Korean Data Analysis Society, 17(2), 897-912.
  3. Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007). Grit: Perseverance and passion for long-term goals. Journal of Personality and Social Psychology, 92(6), 1087-1101. https://doi.org/10.1037/0022-3514.92.6.1087
  4. Eunhwa Chon, Jaehoon Han(2015). The Effect of Student Characteristics and Online Behaviors on Student Learning Achievement in Blended-learning Environments Using Learning Analytics Approaches. Journal of Educational Technology, 31(3), 431-457. https://doi.org/10.17232/KSET.31.3.431
  5. Haedeum Lee, Minwoo Nam(2018). The Analysis of Academic Achievement based on Spatio-Temporal Data Relate to e-Learning Patterns of University e-Learning Learners. Journal of Convergence for Information Technology, 8(4), 247-253. https://doi.org/10.22156/CS4SMB.2018.8.4.247
  6. Heeju Yang(2016). Influence of study regularity on online learning achievement during the concentrated study period : A Learning analytics approach.
  7. Hyojin Lim, Hyesuk Ha, Maehyang Hwang(2017). The Role of Grit, Goal Perception, Conscientiousness and Resilience in Academic Adjustment. Korea Journal of Counseling, 18(1), 371-388. https://doi.org/10.15703/KJC.18.1.201702.371
  8. Hyoungjun Park(2016). Analyzing the e-Learning trend and achievement by attendance source of students.
  9. Ilhyun Jo, Yunmi Kim(2013). Impact of Learner's Time Management Strategies on Achievement in an e-learning Environment: A Learning Analytics Approach. Journal of Korean Association for Educational Infomation and media, 19(1), 83-107.
  10. Jeonghyun Kim(2013). Impact of learner's time management strategies on achievement: A learning analytics approach.
  11. KEDI(2019). 2019 1st semester Current Status of Open high school.
  12. Minseok Kang, Jinil Kim, Innwoo Park(2009). The Examination of the Variables related to the Students' e-learning Participation that Have an Effect on Learning Achievement in e-learning Environment of Cyber University. Journal of Korean Society for Internet Information, 10(5), 135-143.
  13. Saerom Hwang(2016). Impact of learner's learning behavior on achievement: The moderating effect of learning motivation.
  14. Soungyoun Kwon(2009). Impact of Learner's Time Management Strategies on Achievement in an e-learning Environment: A Learning Analytics Approach. Impact of Learner's Time Management Strategies on Achievement in an e-learning Environment: A Learning Analytics Approach, 9, 61-86.
  15. Sungmi Kim, Eunchul Lee, Chanhee Son, Silhee Kim, Hyekyoeng Yang, Sunga Lee, Won Cho(2018). Development of Online Tutoring Operation Model for Open Secondary School, Korean Educational Development Institute.
  16. Suran Lee, Youngwoo Sohn(2013). What are the strong predictors of academic achievement? - Deliberate practice and Grit. The Korean Journal of School Psychology, 10(3), 2013.12, 349-366. https://doi.org/10.16983/KJSP.2013.10.3.349
  17. Yujin Gwon(2018). An analysis of the students' learning behaviors and perceptions on the e-Learning for college students on duty of military service: A learning analytics approach.
  18. Yunmi Kim(2011). Impact of regularity of learning interval, total learning hours and number of access to E-learning in a corporate E-learning environment on academic achievement.

피인용 문헌

  1. 중등 온라인 교육에서의 민원에 관한 연구 - 누가 무엇을 왜 묻는가? vol.24, pp.4, 2019, https://doi.org/10.14352/jkaie.2020.24.4.369