Author(s)

Josephine Chinying Lang

Nanyang Business School, Nanyang Technological University, Singapore.

Given the challenges which the Covid-19 pandemic has brought about, many organizations are reconfiguring their operations to lower costs and raise productivity. One increasingly viable approach is to use artificial intelligence (AI) which, as it gets deployed more widely, will see the post-pandemic workplace transformed accordingly. If new graduates are to be ready for work in these new organisational contexts, it behooves educationists to transform teaching from an instructor-centric model that focuses on “teaching excellence” to a learner-centric one that focuses on developing the kind of expertise that will be particularly needed in the AI-enabled workplace. This paper proposes a pedagogical framework for expertise development, one built upon two concepts, viz., metacognitive development, and deliberate practice. This framework has been put to actual use by the author over four semesters in a university in Singapore to teach an introductory course in organizational behavior (OB). Instructors can use this framework to develop learners who will have a sound understanding of AI through a business lens. Such learners can become workers with skill sets and the requisite expertise to excel in AI-enabled organizations in the future.

Expertise, Deliberate Practice, Metacognitive Development, Assessment Rubrics, Assessment Methods, Teaching Excellence, Organizational Behavior

Lang, J. (2021) From Teaching Excellence to Expertise Development: A Pedagogical Framework for Developing Expertise. Creative Education, 12, 907-933. doi: 10.4236/ce.2021.124066.