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NTIS 바로가기Journal of technologic dentistry : JTD, v.42 no.3, 2020년, pp.248 - 253
강월 (대구보건대학교 치기공과) , 김임선 (대구보건대학교 치기공과)
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 learnin...
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핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
수업의 질이란 무엇인가? | 수업의 질이란 학습자의 학습능력 및 성취를 높이기 위한 교수자의 모든 활동이 학습자에게 미치는 영향을 의미한다. 수업의 질에 영향을 미치는 요소로는 수업목표와 활동에 대한 인식 및 학습 내용의 적절성, 명료성 및 구조화 등이 있다[8]. | |
수업의 질에 영향을 미치는 요소에는 어떤것이 있는가? | 수업의 질이란 학습자의 학습능력 및 성취를 높이기 위한 교수자의 모든 활동이 학습자에게 미치는 영향을 의미한다. 수업의 질에 영향을 미치는 요소로는 수업목표와 활동에 대한 인식 및 학습 내용의 적절성, 명료성 및 구조화 등이 있다[8]. | |
정보통신 기술을 활용한 e-러닝 수업이 갖는 장단점은 무엇인가? | 최근 교육 분야는 코로나바이러스감염증-19 (coronavirus disease 2019, COVID-19)로 인해 정보통신 기술을 활용한 e-러닝 수업이 활발히 이루어지고 있다. 이러한 수업은 인터넷이나 전자매체를 기반으로 시ㆍ공간의 제약을 받지 않고 원활한 상호작용이 가능하고 학습자의 자기 주도적 학습활동 및 다양한 형태의 학습을 경험할 수 있다는 장점을 가지고 있다[1]. 그러나 교수자와 학습자 모두 인프라와 정보통신기술 활용능력이 갖추어져 있어야 한다는 단점이 있다. 특히 교수자에게는 테크놀로지 기반의 수업 운영과 온라인 콘텐츠 개발 및 신속한 피드백(feedback)과 같은 역량이 요구된다. 그리고 학습자는 학습에 소홀해질 수 있다는 단점이 있다[2]. |
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13:319-340.
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.
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.
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.
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.
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.
Henss SR. A comparison of traditional and web-based floral design courses [master's thesis]. College Station: Texas A&M University, 2003.
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.
Kim JH. A structural analysis of factors affecting the participants' learning flow in adult learning programs [doctoral dissertation]. Seoul: Seoul National University, 2003.
Hong W. The effects of segmenting time of the video lecture on learning outcomes [master's thesis]. Seoul: Seoul National University, 2013.
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