TY - GEN
T1 - Analysis of Factors Affecting User Intention in Using New Mobile Learning Platform
AU - Aristio, Andre Parvian
AU - Mudjahidin,
AU - Hendrawan, Rully Agus
AU - Putri, Shalma Rachmayani
AU - Bagus, Destya
AU - Supardi, S.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/17
Y1 - 2020/11/17
N2 - The era of pandemic COVID-19 has succeeded in making educational technology must develop an innovative and interactive learning technique. The example of technologies used in education is mobile learning. Currently, there are various new m-learning service provider platforms In Indonesia. One of them is Pahamify. This platform is provided online by utilizing portable technology. However, the using rate of m-learning is still relatively low. In this regard, further research needs to be done on factors influencing the user's intention to use a new m-learning platform, considering the factors that influence is still unclear. Thus, these service providers can focus on improving their services according to what factors influencing user intentions in using new m-learning. The method used is the Structural Equation Modeling analysis. The results in this study are the analysis of factors that influence user intentions in m-learning services.
AB - The era of pandemic COVID-19 has succeeded in making educational technology must develop an innovative and interactive learning technique. The example of technologies used in education is mobile learning. Currently, there are various new m-learning service provider platforms In Indonesia. One of them is Pahamify. This platform is provided online by utilizing portable technology. However, the using rate of m-learning is still relatively low. In this regard, further research needs to be done on factors influencing the user's intention to use a new m-learning platform, considering the factors that influence is still unclear. Thus, these service providers can focus on improving their services according to what factors influencing user intentions in using new m-learning. The method used is the Structural Equation Modeling analysis. The results in this study are the analysis of factors that influence user intentions in m-learning services.
KW - New m-learning
KW - Structural Equation Modeling
KW - User Intention
UR - http://www.scopus.com/inward/record.url?scp=85099658810&partnerID=8YFLogxK
U2 - 10.1109/CENIM51130.2020.9297957
DO - 10.1109/CENIM51130.2020.9297957
M3 - Conference contribution
AN - SCOPUS:85099658810
T3 - CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
SP - 245
EP - 250
BT - CENIM 2020 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Y2 - 17 November 2020 through 18 November 2020
ER -