• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.199-206
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• 2017

The experience sampling method (ESM) is an innovative research method to study the immediate real emotional experience experienced in real life through the immediate reaction of research participants. ESM, which has received significant attention in recent, is considered as the research method particularly for child care teachers' emotions and happiness. This method has been shown to be able to overcome the limitations in current research methods, based on teachers' recall or surveys, in assessing child care teachers' emotional states or stress levels. Despite the expectation that the need for further research on the increased stress and negative emotional experiences of child care teachers and its appropriateness as the alternative research method to study child care teachers' immediate emotional experience, ESM has deficiencies in that research participants need to have their pencil-and-paper survey packages on hand whenever their electronic beepers randomly beep. Furthermore, ESM demands much more researcher energy and efforts to handle the voluminous data collected from each participant in effectively creating a database. In this paper, in order to apply ESM successfully to the study of child care teachers' emotional experience, we aim to develop a software program that uses mobile communication technology. Given that traditional types of data collection methods in social science research can prove too burdensome to encourage participation in surveys in the first place or ensure the return of completed surveys, the present study adopts a convergent research approach to develop a software program that is able to obtain ESM participants' answers immediately on their personal smart phones. This study deals with system construction and prototyping for software development as a basic research and evaluates the research results through indepth interview with experts.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.509-520
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• 2014

This study investigated the structural relationships among factors on intention to use mobile learning and suggests practical strategies to enhance learners' behavior intention in secondary school. In this study, we hypothesized that mobile computing self-efficacy, personal innovativeness, and social influence had positive effects on perceived usefulness and perceived ease of use, which ultimately had positive effects on intention to use mobile learning. In order to examine structural relationship among variables, we surveyed 289 high school students in spring semester of 2014. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, mobile computing self-efficacy and personal innovativeness significantly affected perceived ease of use. Second, mobile computing self-efficacy, social influence, and perceived ease of use significantly affected perceived usefulness. Lastly, perceived usefulness and perceived ease of use significantly affected intention to use mobile learning of high school students.