Exploring preservice teachers’ acceptance of smart learning

Jeongmin Lee; Hyunmin Chung; Jiyoon Moon; Young Ran Yoo

doi:10.1007/978-3-662-44188-6_25

Exploring preservice teachers’ acceptance of smart learning

Jeongmin Lee, Hyunmin Chung, Jiyoon Moon, Young Ran Yoo

Department of Educational Technology

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The purpose of this study was to investigate the structural relationships among smart learning acceptance factors for preservice teachers in South Korea. The research model based on the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model. The model suggested the determinants of smart learning acceptance including Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Hedonic Motivation and Attitude. For this research, 206 preservice teachers answered the off-line survey in Seoul, Korea. During 2 weeks of data collection, descriptive and correlation analysis were done as well as the structural equation modeling analysis to validate the model and analyze the causal relationship among variables. The implications of this study and suggestions for the future research will be discussed in the conference.

Original language	English
Pages (from-to)	175-181
Number of pages	7
Journal	Lecture Notes in Educational Technology
Issue number	9783662441879
DOIs	https://doi.org/10.1007/978-3-662-44188-6_25
State	Published - 2015

Bibliographical note

Publisher Copyright:
© 2015, Springer-Verlag Berlin Heidelberg.

Keywords

Behavioral intention
Pre-service teacher
Smart learning
UTAUT

Access to Document

10.1007/978-3-662-44188-6_25

Cite this

@article{2cf68fda412a4c0f9d62ae588881ece3,

title = "Exploring preservice teachers{\textquoteright} acceptance of smart learning",

abstract = "The purpose of this study was to investigate the structural relationships among smart learning acceptance factors for preservice teachers in South Korea. The research model based on the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model. The model suggested the determinants of smart learning acceptance including Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Hedonic Motivation and Attitude. For this research, 206 preservice teachers answered the off-line survey in Seoul, Korea. During 2 weeks of data collection, descriptive and correlation analysis were done as well as the structural equation modeling analysis to validate the model and analyze the causal relationship among variables. The implications of this study and suggestions for the future research will be discussed in the conference.",

keywords = "Behavioral intention, Pre-service teacher, Smart learning, UTAUT",

author = "Jeongmin Lee and Hyunmin Chung and Jiyoon Moon and Yoo, {Young Ran}",

note = "Publisher Copyright: {\textcopyright} 2015, Springer-Verlag Berlin Heidelberg.",

year = "2015",

doi = "10.1007/978-3-662-44188-6_25",

language = "English",

pages = "175--181",

journal = "Lecture Notes in Educational Technology",

issn = "2196-4963",

publisher = "Springer International Publishing AG",

number = "9783662441879",

}

TY - JOUR

T1 - Exploring preservice teachers’ acceptance of smart learning

AU - Lee, Jeongmin

AU - Chung, Hyunmin

AU - Moon, Jiyoon

AU - Yoo, Young Ran

PY - 2015

Y1 - 2015

N2 - The purpose of this study was to investigate the structural relationships among smart learning acceptance factors for preservice teachers in South Korea. The research model based on the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model. The model suggested the determinants of smart learning acceptance including Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Hedonic Motivation and Attitude. For this research, 206 preservice teachers answered the off-line survey in Seoul, Korea. During 2 weeks of data collection, descriptive and correlation analysis were done as well as the structural equation modeling analysis to validate the model and analyze the causal relationship among variables. The implications of this study and suggestions for the future research will be discussed in the conference.

AB - The purpose of this study was to investigate the structural relationships among smart learning acceptance factors for preservice teachers in South Korea. The research model based on the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model. The model suggested the determinants of smart learning acceptance including Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Hedonic Motivation and Attitude. For this research, 206 preservice teachers answered the off-line survey in Seoul, Korea. During 2 weeks of data collection, descriptive and correlation analysis were done as well as the structural equation modeling analysis to validate the model and analyze the causal relationship among variables. The implications of this study and suggestions for the future research will be discussed in the conference.

KW - Behavioral intention

KW - Pre-service teacher

KW - Smart learning

KW - UTAUT

UR - http://www.scopus.com/inward/record.url?scp=85032381206&partnerID=8YFLogxK

U2 - 10.1007/978-3-662-44188-6_25

DO - 10.1007/978-3-662-44188-6_25

M3 - Article

AN - SCOPUS:85032381206

SN - 2196-4963

SP - 175

EP - 181

JO - Lecture Notes in Educational Technology

JF - Lecture Notes in Educational Technology

IS - 9783662441879

ER -

Exploring preservice teachers’ acceptance of smart learning

Abstract

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this