블렌디드 러닝을 활용한 컴퓨터 실습수업에서의 학습자 만족 연구: 콘텐츠 요인과 교수자 상호작용을 중심으로
A Study on the Learner’s Satisfaction of Computer Practice Classes by applying BL: Focusing on contents and instructor interactions
2
조회
0
다운로드
13
인용
0
참고문헌
키워드
초록
BL(Blended Learning) has been presented as a promising alternative learning approach. BL is defined as a learning approach that combines e-learning and face-to-face classroom learning. The adoption of BL in computer practice class is necessary due to the characteristics of computer practice class itself. This study proposes a research model that examines the determinants of learner’s satisfaction of computer practice classes in BL environment. Considering the characteristics of computer practices classes contents and instructor interaction were identified as the determinants. The research model is tested using a questionnaire survey of 141 participants. Confirmatory factor analysis (CFA) was performed to test the reliability and validity of the measurements. The partial least squares (PLS) method was used to validate the measurement and hypotheses. The empirical findings shows that contents easiness and contents constructs are the primary determinants of instructor interaction in BL. Instructor interaction was also found to be related to the learner’s satisfaction resulting in re-using. The findings provide insight into the planning and utilizing BL in computer practice classes to enhance learner’s satisfaction.
Abstract
BL(Blended Learning) has been presented as a promising alternative learning approach. BL is defined as a learning approach that combines e-learning and face-to-face classroom learning. The adoption of BL in computer practice class is necessary due to the characteristics of computer practice class itself. This study proposes a research model that examines the determinants of learner’s satisfaction of computer practice classes in BL environment. Considering the characteristics of computer practices classes contents and instructor interaction were identified as the determinants. The research model is tested using a questionnaire survey of 141 participants. Confirmatory factor analysis (CFA) was performed to test the reliability and validity of the measurements. The partial least squares (PLS) method was used to validate the measurement and hypotheses. The empirical findings shows that contents easiness and contents constructs are the primary determinants of instructor interaction in BL. Instructor interaction was also found to be related to the learner’s satisfaction resulting in re-using. The findings provide insight into the planning and utilizing BL in computer practice classes to enhance learner’s satisfaction.
참고문헌 (33)
- 김경미, "디지털시대에 플립드 러닝을 활용한 학습자 맞춤형 소프트웨어 교육 방안 연구", 디지털융복합연구, 15(7), pp.55~64 (2017), 한국디지털정책학회[DOI]
- 서용준, "블렌디드 러닝 환경에서 학습몰입 및 성과의 영향요인에 관한 연구 -경영학 교과목을 중심으로-", 경영연구, 32(2), pp.315~337 (2017), 한국산업경영학회
- 김완섭, "컴퓨터 실습 수업에의 블렌디드 러닝 적용과 학생만족도 분석", 정보교육학회논문지, 19(3), pp.373~384 (2015), 한국정보교육학회[DOI]
- 심선경, "온라인 수업에서 학습도구와 자기조절학습, 학업성취 간의 관계 연구", 한국콘텐츠학회 논문지, 13(3), pp.456~467 (2013), 한국콘텐츠학회[DOI]
- 김완섭, "대학 컴퓨터 실습 교양과목에서의 학업성취 요인에 대한 연구", 정보교육학회논문지, 17(4), pp.433~447 (2013), 한국정보교육학회[DOI]
- 최병수, "대학 강의실 수업의 효과성 향상을 위한 H형 블렌디드 이러닝 적용 효과 분석", 컴퓨터교육학회 논문지, 16(3), pp.49~60 (2013), 한국컴퓨터교육학회
- 윤성자, "간호학과의 컴퓨터 활용 교과목 수업을 위한 브랜디드 러닝을 적용한 교과과정 설계", 한국전자통신학회 논문지, 12(02), pp.375~384 (2017), 한국전자통신학회
- 허서정, "플립드 러닝 기반 컴퓨터 활용 수업의 학습 효과 분석", 한국융합학회논문지, 8(1), pp.155~162 (2017), 한국융합학회[DOI]
- 전병호, "대학 수업에서의 블렌디드 러닝 만족에 영향을 미치는 학습자 변인 연구", (사)디지털산업정보학회 논문지, 13(3), pp.105~113 (2017), (사)디지털산업정보학회[DOI]
- 박찬욱, "사례연구를 통한 블렌디드 러닝 기반의 중국어 회화수업 설계", 중국어교육과 연구, (14), pp.15~31 (2011), 한국중국어교육학회
- 전영미, "대학 이러닝에서 상호작용 유형에 따른 수업만족도 및 인지된 학업성취도 분석", 인터넷정보학회논문지, 18(1), pp.131~141 (2017), 한국인터넷정보학회[DOI]
- K. Harry, "Distance Education: New perspectives", pp.19~24 (1993), Routledge
- Hirumi, A., "Student-Centered, Technology-Rich Learning Environments: Operationalizing Constructivist Approaches to Teaching and Learning", Journal of Technology and Teacher Education, 10(4), pp.497~538 (2002)
- 김한주, "일반대학 이러닝에서 학습자요인, 교수실재감, 콘텐츠품질이 학습만족도 및 학습지속의향에 미치는 영향: 학습몰입의 매개효과를 중심으로", 교육종합연구, 13(2), pp.173~196 (2015), 교육종합연구소
- Nikolaos Tselios, "Assessing the Acceptance of a Blended Learning University Course", Educational Technology & Society, 14(2), pp.224~235 (2011)
- Wu, J. H, "A study of student satisfaction in a blended e-learning system environment", Computers & Education, 55, pp.155~164 (2010)
- 손달호, "블렌디드 러닝을 통한 이러닝이 학습자의 학습효과에 미치는 영향", 계명대학교 산업경영연구소 경영경제, 42(2), pp.1~26 (2009)
- Hassan M. Selim, "Critical success factors for e-learning acceptance: Confirmatory factor models", Computers & Education, 49, pp.396~413 (2007)
- Min Ling Hung, "Students'perceptions of instructors' roles in blended and online learning environments: A comparative study", Computers & Education, 81, pp.315~325 (2015)
- 홍효정, "블렌디드 러닝(Blended Learning)을 위한 대학 교수자의 교수역량 도출", 교육공학연구, 32(2), pp.391~425 (2016), 한국교육공학회[DOI]
- Liu, X., "Exploring four dimensions of online instructor roles: a program level case study", Journal of Asynchronous Learning Networks, 9(4), pp.29~48 (2005)
- Shin, N., "Transactional presence as a critical predictor of success in distance learning", Distance Education, 24(1), pp.69~86 (2003)
- 하영자, "학습동기, 학습만족도 및 학업성취의 관계에서 학습몰입의 매개효과 -이러닝 환경의 학습자 중심으로-", 교육정보미디어연구, 17(2), pp.197~217 (2011), 한국교육정보미디어학회
- 정원식, "소셜커머스(Social Commerce) 구매의향에 대한 TPB (계획된 행위이론)와 TRI(기술준비도)의 적용에 관한 연구", 서비스경영학회지, 14(2), pp.1~24 (2013), 한국서비스경영학회
- M. Limayem, "Understanding information systems continuance: The case of Internet-based learning technologies", Information &Management, 45(4), pp.227~232 (2008)
- K. S. Sujeet, "A Multi-analytical approach to predict the Facebook usage in higher education", Computers in Human Behavior, 55, pp.340~353 (2016)
- 전병호, "대학 수업에서의 SNS 활용에 대한 연구: 경험자와 비경험자 학습자의 비교", (사)디지털산업정보학회 논문지, 12(3), pp.205~214 (2016), (사)디지털산업정보학회[DOI]
- Howell, J. M., "Champion of Technological Innovation", Administrative Science Quarterly, 35(2), pp.317~341 (1990)
- 김계수, "SmartPLS 이용 쉬운 구조방정식모델" (2013), 청람
- Hair, J. A., "Multivariate data analysis" (1998), Prentice Hall
- Nunnally, J. C., "Psychometric Theory" (1994), Mc-Graw-Hill
- Fornell, C., "Structural Equation Models with Unobservable Variables and Measurement Errors", Journal of Marketing Research, 18(2), pp.39~50 (1981)
- "Blended Learning Report" (2013)[URL]
