Keynotes and Speakers for ITx 2018
Lecturer, School of Computing, Eastern Institute of Technology
Samuel Ekundayo is a lecturer at the School of Computing, Eastern Institute of Technology (EIT), New Zealand. He holds a Ph.D. in Business Information Systems from Auckland University of Technology (AUT), New Zealand; a Master of Science in Knowledge Management from Nanyang Technological University (NTU), Singapore and a Bachelors degree from Coventry University (CU), the United Kingdom in Engineering Business Management.
His research interests include Educational Technology, Activity theory, Human Computer Interaction, Educational Development, Mobile Learning, and Agile Development.
Mobile learning (m-learning) has gained increasing popularity with the advent of internet technology and ubiquity of mobile devices - these new technologies have enriched mobility in terms of students' engagement with learning seamlessly.
Recently, the use of mobile devices for educationally related purposes has been on the increase among the tertiary students; due to the advancement recorded in the compatibility and interactive components of these mobile devices.
The use of mobile devices among students for learning are commonplace on the campus and in the off-campus. It has been observed that students are usually so much engaged and immersed in their learning activities when using mobile devices.
Therefore, it is increasingly important to evaluate how students' flow experience is enhanced and reinforced, from a combined perspective of the flow theory and technology acceptance model.
This study proposes to understand the impact of perceived usefulness, perceived ease of use and attitude on students' flow experience and mobile learning acceptance. Insights from this study would enhance our understanding of the role of flow experiences on mobile learning attitude and usage behavior among tertiary students.
Information Technology industry employers consistently stress the need for graduates to have the ability to work effectively in teams.
However, most computing curricula places emphasis on a student’s own work. Graduate attributes stress the need for students to have good teamwork and communication skills.
Group work/teamwork is one way that academic programmes aim to develop these capabilities. However choosing, mentoring and assessing groups poses challenges in an often artificial academic setting.
This panel presents options and strategies for choosing groups, monitoring their progress to achieve successful outcomes and the complex issue of assessment of not only the group process and outcomes but also the individual student performance.
In industry IT professionals don’t always get the opportunity to choose who is in their team for any given project, the panel will present different options for choosing student teams to achieve the desired results. It is important to keep the groups focussed and cohesive in working towards their outcomes, approaches to conducting mid-project process reviews.
Individual and group assessment will be identified to ensure groups are assessed fairly while also recognising individual achievement.