Abstract

As the mobile technology evolves, the possibilities for Mobile Learning (ML) are becoming increasingly attractive. However, the lack of perceived learning value and institutional infrastructure are hindering the possibilities for ML attempts. The purpose of our study is to understand the use and adoption of mobile technologies by teachers in a business school. We developed a questionnaire based on current research about the use of technology on higher education and it was used to interview 14 teachers. Participants provided insights about ML opportunities, such as availability, interactive environments, enhanced communication and inclusion on daily activities. Participants also realized that current teaching practices should change in mobile environments to include relevant information, to organize mobile materials, to encourage reflection and to create interactive activities with timely feedback. Further, they identified technological, institutional, pedagogical and individual obstacles that are threaten ML practices.

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Exploring Teacher’s Perception and Potential Use of Mobile Learning in a Business School

As the mobile technology evolves, the possibilities for Mobile Learning (ML) are becoming increasingly attractive. However, the lack of perceived learning value and institutional infrastructure are hindering the possibilities for ML attempts. The purpose of our study is to understand the use and adoption of mobile technologies by teachers in a business school. We developed a questionnaire based on current research about the use of technology on higher education and it was used to interview 14 teachers. Participants provided insights about ML opportunities, such as availability, interactive environments, enhanced communication and inclusion on daily activities. Participants also realized that current teaching practices should change in mobile environments to include relevant information, to organize mobile materials, to encourage reflection and to create interactive activities with timely feedback. Further, they identified technological, institutional, pedagogical and individual obstacles that are threaten ML practices.