Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2019
Abstract
In this paper we report experiences in implementing a new course ‘Understanding Drone & Robotics Technology – History, Usage, Ethics & Legal Issues’ at the Singapore Management University (SMU) framed as a strategic knowledge management initiative in an institution of higher learning aimed at capturing, sharing and creating new knowledge about disruptive technologies such as unmanned aerial vehicles (UAVs). We posit the new course as a knowledge innovation initiative (similar to a KM-enabled business case in a corporate setting) in support of the university’s mission and vision so as to deliver new value to students and to stay ahead of the latest technological developments. In line with a ‘normal’ KM initiative, we examine how the new learning and teaching initiative was conceived, pushed forward and eventually launched, creating a new multi-disciplinary learning experience for students, instructors and other stakeholders. We explain the knowledge strategy of the course and use the SECI framework to shed light on selected aspects of the pedagogical approach towards achieving the desired learning outcomes. Overall, the paper intends to make a case for more collaborative knowledge leadership as a strategic enabler of knowledge innovation in a rapidly changing higher education landscape.
Keywords
Drones, UAV technology, Higher education, Multi-Disciplinary Teaching and Learning, Knowledge Transfer
Discipline
Higher Education | Technology and Innovation
Research Areas
Organisational Behaviour and Human Resources
First Page
657
Last Page
666
ISBN
9781912764341
Identifier
10.34190/ECIE.19.077
Publisher
ACPIL
Embargo Period
1-6-2022
Citation
MENKHOFF, Thomas; KAN, Siew Ning; and TAN, Eugene K. B..
Future-proofing students in higher education with UAV technology: A KM case study. (2019). 657-666.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/6848
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.34190/ECIE.19.077