Welcome to this issue of Computing and Information Technology Research and Education, New Zealand (CITRENZ) Journal of Applied Computing and Information Technology (JACIT), an amalgamation of two publications from the National Advisory Committee of Computing Qualifications (NACCQ): JACIT and the Bulletin (BACIT).
Are you interested in contributing a paper to JACIT? Please refer to the guidelines and templates available on the Authors tab, and then contact the editors:
Blain Harre Rakena, Donald Joyce
This paper reports on the results of an investigation into the experiences of academically successful adult Māori students undertaking the Bachelor of Information Technology (BIT) programme at the Waikato Institute of Technology (Wintec). This research looked at the participants' motivation for attending Wintec, the barriers (such as financial, social and family hardships) they encountered as they made the transition back to full time study, and their experiences at Wintec. The paper considers the reasons why the participants have achieved well, identifies the support systems they called on, and explores the challenges that they experienced while studying in a tertiary learning environment. Its significance lies in the focus on factors that affect Māori academic success, specifically in information technology, so that teaching approaches and support systems, particularly in the institute of technology and polytechnic (ITP) sector, can enhance the success of Māori in the field of IT.
Tim D. Hunt, Grant Ryan, Cameron Ryan-Pears
The purpose of this work was to test the effectiveness of using readily available speech recognition API services to determine if recordings of bird song had inadvertently recorded human voices. A mobile phone was used to record a human speaking at increasing distances from the phone in an outside setting with bird song occurring in the background. One of the services was trained with sample recordings and each service was compared for their ability to return recognized words. The services from Google and IBM performed similarly and the Microsoft service, that allowed training, performed slightly better. However, all three services failed to perform at a level that would enable recordings with recognizable human speech to be deleted in order to maintain full privacy protection.