Analisis Constructivist Multimedia Learning Environment dengan Pendekatan Bayesian Structural Equation Model
Abstract
Constructivist Multimedia Learning Environment (CMLE) is a learning model where the teacher gives the student an experience that can help them to develop high order thinking skills such as critical thinking, developing solutions, and be creative around their environment. CMLE uses multimedia as their main source of information and as a tool to deliver learning materials. For that purpose, evaluation is needed to assess the effectiveness of the learning model. This evaluation is known as CMLE Survey (CMLES). Data obtained from CMLES needs to be analysed using analytical methods that can show the relationship between each variable and the indicator. Bayesian Structural Equation Model (SEM) is considered as the right approach because of many advantages of Bayesian Approach, such as using prior information to get posterior result and not affected by the number of samples. The seven existing hypotheses are accepted with the following results. RTH has a positive influence on CHL while CHL has a positive effect on COM. RLV has a positive influence on COM. RTH has a positive influence on INQ while INQ has a positive influence on NEG. Nevertheless, CHL gives a negative influence on INQ and RLV gives a negative influence on CHL.
References
M. Neo dan T.-K. Neo, “Engaging Students in Multimedia-Mediated Constructivist Learning; Students’ Perceptions,” J. Educ. Technol. Soc., Vol. 12, No. 2, hal. 254–266, 2009.
M.S. Mahoney, “The History of Computing in the History of Technology,” IEEE Ann. Hist. Comput., Vol. 10, No. 2, hal. 113–125, Apr. 1988.
C. Samat, P. Vongtathum, S. Chaijaroen, dan I. Kanjug, "Design and Development of Constructivist Multimedia Learning Environment Enhancing Skills in Computer Programming", 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), 2017, hal. 1023-1026.
M.C. O’Connor, “Chapter 2: Can We Trace the ‘Efficacy of Social Constructivism’?,” Rev. Res. Educ., Vol. 23, No. 1, hal. 25–71, Jan. 1998.
T.-K. Ken Neo, "Using Multimedia in a Constructivist Learning Environment in the Malaysian Classroom," Australasian Journal of Educational Technology, Vol. 19, No. 3, hal. 293-310, 2003.
M. Dorit dan B.J. Fraser, “An Online Questionnaire for Evaluating Students’ and Teachers’ Perceptions of Constructivist Multimedia Learning Environments,” Res. Sci. Educ., Vol. 35, No. 2–3, hal. 221–244, 2005.
W. Widiharso, “Pelatihan Analisis SEM melalui AMOS,” Universitas Gadjah Mada, Modul Pelatihan, 2009.
M. Webster, “Bayesian Statistics,” J. Appl. Stat., Vol. 40, No. 12, hal. 2773–2774, Dec. 2013.
S. Landau dan B. Everitt, A Handbook of Statistical Analyses using SPSS, Boca Raton, Florida, USA: Chapman & Hall/CRC, 2004.
J.L. Arbuckle, “IBM SPSS AmosTM 22 User’s Guide,” Amos Development Corporation, 2013.
A.Y. Nawangsari, "Structural Equation Modeling pada Perhitungan Indeks Kepuasan Pelanggan dengan menggunakan Software AMOS (Studi Kasus: Perhitungan Indeks Kepuasan Mahasiswa FMIPA UNY Terhadap Operator IM3), Skripsi, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia, Juni, 2011.
D.B. Dunson, J. Palomo, dan K. Bollen, “Bayesian Structural Equation Modeling,” Appl. Math. Sci., Vol. 98, hal. 163–188, 2005.
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