The ICEM graduate student panel discussion in emerging technology is an AECT panel session designed to give graduate students an opportunity to share research and teaching practices related to emerging technologies. 4-6 graduate students are usually selected to present. Previous years the focus has been emerging technologies like game-based learning and gamification, mobile learning, etc. This year, the focus is on learning analytics and wearable technologies. This year, ITLS doctoral student, Jeffrey Thayne's been accepted.
The title of Jeff's accepted paper is "Self-data and wearable technologies: Do students care?" He will be sharing insights from both his dissertation research and from grant-funded research headed by Dr. Victor Lee about whether or not the use of wearable technologies -- in this case, physical activity trackers such as the Fitbit -- connects learning activities with the ongoing interests and concerns of learners. Some have proposed that the use of data about the self in statistics instruction might bring learners to care more about learning activities, and in my dissertation study I attempt to explore that possibility in a qualitative research study involving several undergraduate statistics learners.