Summary of M-Learning Research Table B
M- Learning Research
Country Research Model
Research Purpose Research Method Data Collection Method Context Author(s) Australia Computer Science faculty attitudes towards the use of mobile technology during programming lectures. Two factors: willingness to integrate and those that influence successful integration
Qualitative study Semi- structured interviews
Ten faculties were invited; 7 accepted from a School of Computer Science and Technology. Thirty-minute interviews; xix interviews were audio-recorded. Alsaggaf, Hamilton, & Harland (2012) Oman and UAE
UTAUT Attitudes towards the use of m- learning
Quantitative Surveys 383 students and 54 instructors from five universities
Al-Emran, Elsherif, & Shaalan (2016)
Country Research Model
Research Purpose Research Method Data Collection Method Context Author(s) Saudi Arabia
None Attitudes towards m- learning
Quantitative Survey with 37 items 362 faculty at King Saud University in 2012-2013. Alwraikat & Tokhaim (2014)
USA TAM Factors that
determine faculty adoption of student in-class use of mobile computing technologies
Mixed Methods Survey and interviews.
Survey completed during the
interview. 29 faculty participated. All were from a Business College.
Benham & Carvalho (2016)
Korea and USA
None Faculty use and perception of mobile ICT for teaching.
Mixed methods Survey and interviews. 59 participants with 44 respondents (13 US and 31 Korean) at three different institutions (2 large 4-year research universities in Korea and one large public research university in the northeast U.S.).
Biddix, Chung, & Park (2016)
Country Research Model
Research Purpose Research Method
Data Collection Method
Context Author(s)
USA None Students and
Faculty
Quantitative Survey 263 graduate and undergraduate students enrolled in 24 online courses; 74 full- and part- time faculty.
Corbeil & Corbeil (2011)
USA None Faculty Qualitative Semi-
structured interviews Three participants from a mid-size public university. Crow et al. (2010)
France None Understand use
and adoption of mobile
technologies by faculty
Mixed methods Survey and interviews
Fourteen faculties in a French Business School.
Cruz, Assar, & Boughzala (2012a)
China None Factors
influencing the use of modern instructional technology
Mixed methods Survey and interviews.
320 full-time faculty at a mid- sized North China University of Technology
Country Research Model
Research Purpose Research Method
Data Collection Method
Context Author(s)
Cyprus None Evaluate faculty readiness and feasibility of mobile technology integration
Mixed methods Survey and interviews
Three private universities. 200 faculty members were sent the survey. Twenty were interviewed.
Eteokleous & Ktoridou (2009)
USA Not available Faculty
perceptions about the role of new learning
technologies in graduate management education and how to bridge the gap.
Quantitative Survey Not available Hall (2012)
Australia None Explore academic’s perceptions about the use of mobile devices for teaching and learning
Mixed methods A survey with three open- ended questions.
177 participants. Handal, MacNish, & Petocz (2013)
Country Research Model
Research Purpose Research Method
Data Collection Method
Context Author(s)
USA None Faculty
perceptions of the use of mobile devices, student use, and perceived barriers.
Mixed methods Survey and interviews
1152 faculty from Midwestern Land- grant university were sent the survey. 594 surveys were completed. 28 faculty were
interviewed.
Hauptman (2015)
USA None Perceptions of
business educators
regarding mobile device use in the classroom. Quantitative, descriptive. Survey 642 Business educators belonging to Delta Pi Epsilon were contacted, and 195 completed the survey.
Henderson & Chapman (2012)
Country Research Model
Research Purpose Research Method
Data Collection Method
Context Author(s)
UAE None Faculty
perceptions about integration, affordances, and challenges of m- learning were investigated. Qualitative Semi- structured interviews Thirteen full-time faculty members from the colleges of Business
Administration, Education, Humanities and Social Science, Pharmacy, and Law at Al Ain
University of Science and Technology.
Ishtaiwa, Khaled, & Dukmak (2015)
India None Faculty
perception towards m- learning adoption and usage.
Quantitative Survey Three institutions, 150 were sent a survey, 120 were analyzed.
Kalyani, Pandeya, & Singh (2012)
Country Research Model
Research Purpose Research Method
Data Collection Method
Context Author(s)
India None Faculty attitude towards m- learning, motivators, and barriers towards m-learning use.
Quantitative Survey One hundred
management faculty at various
institutions, 80 questionnaires were analyzed.
Kalyani, Singh, & Pandey (2012)
Unknown TAM with three additional variables: digital literacy, ICT anxiety, and ICT teaching self- efficacy Faculty acceptance of m- learning.
Quantitative Survey 196 respondents with 175 valid responses.
Mac Callum, Jeffrey, & Kinshuk (2014) USA M-Learning Acceptance Model (extension of TAM) Faculty and Student
Quantitative Survey Online
undergraduate and graduate faculty and students at one university.
Country Research Model
Research Purpose Research Method
Data Collection Method
Context Author(s)
USA None Faculty and
Students’ attitudes, ownership, and classroom use of mobile devices
Quantitative Survey Campus-wide survey at East Tennessee State University.
Melton & Kendall (2012)
USA None Faculty
perceptions of benefits and barriers to mobile computing in higher education
Quantitative Survey 98 full-time faculty on one of two campuses at a large private university in the northeast
received the survey. Responses received from 39 faculty members.
Shim & Shim (2000-2001) Turkey Diffusion of Innovation ICT usage as an indicator of diffusion.
Quantitative Survey 814 faculty
members across 22 universities.
Usluel, Askar & Bas (2008)
Malaysia Educator
perceptions
Qualitative Lecture and tutorial sessions; interviews 12 Multimedia faculty at a private university over seven months in 2010 Zulkafly Koo, Shariman, & Zaimuddin (2011)