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Journal article
Mental Health Mobile Apps' Instruction: Technology Adoption Theories Applied in a Mixed Methods Study of Counseling Faculty
Journal of technology in human services, Vol.34(4), pp.301-325
10/01/2016
Web of Science ID: WOS:000391045900001
Abstract
This objective of this research was to determine factors influencing counselor educators' behavioral intentions to teach counseling students about mental health mobile applications (MHMAs), factors influencing values of MHMAs as therapeutic tools, and to what extent counselor education programs are contributing to future counselors' technological competence with regard to evaluating and integrating MHMAs. The conceptual basis was a theory triangulation approach using theories of technology use and acceptance and diffusion of innovations. Nine quantitative, two qualitative, and two mixed methods research questions served to guide the study. Participants were 132 faculty members from 99 university counseling programs. Participants completed an initial survey, an evaluation of an evidence-based mental health mobile application (app), and a postmeasure. Hierarchical multiple regression, analysis of covariance (ANCOVA), independent samples t-tests, and paired samples t-tests were used to analyze quantitative data. Results indicated that unified theory of acceptance and use of technology (UTAUT) variables along with anxiety/apprehension and ethical concerns are related to behavioral intentions to teach students about MHMAs. Semistructured video interviews were conducted and analyzed in the qualitative phase to add depth and explain quantitative findings. This study has implications for graduate counselor education programs and related accrediting agencies.
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Details
- Title
- Mental Health Mobile Apps' Instruction
- Publication Details
- Journal of technology in human services, Vol.34(4), pp.301-325
- Resource Type
- Journal article
- Publisher
- Routledge
- Copyright
- © 2016 Taylor & Francis Group, LLC
- Identifiers
- WOS:000391045900001; 99380491496006600
- Academic Unit
- School of Education; Instructional Design and Technology
- Language
- English