Simulation Australia Provides Course on Improving Simulations Through Data Analysis
Recently I have been spending a great deal of time studying Kaizen and the Lean manufacturing process.
Definition of LEAN and connection to Data Analysis:
Lean manufacturing, lean enterprise, or lean production, often simply, “lean”, is a production practice that considers the expenditure of resources for any goal other than the creation of value for the end customer to be wasteful, and thus a target for elimination. Working from the perspective of the customer who consumes a product or service, “value” is defined as any action or process that a customer would be willing to pay for. Essentially, lean is centered on preserving value with less work.
Lean manufacturing is a management philosophy derived mostly from the Toyota Production System and identified as “lean” only in the 1990s. TPS is renowned for its focus on reduction of the original Toyota seven wastes to improve overall customer value, but there are varying perspectives on how this is best achieved. The steady growth of Toyota, from a small company to the world’s largest automaker, has focused attention on how it has achieved this success.
Our simulations and the operation of those simulations can continue to improve over time with the adoption of the core principles of Lean and data analysis! That’s why I was so excited to see this Simulation Australia course:
Power of Analytics: Using Data to Improve Interactions with Simulations
The adoption of analytic approaches to better inform and assess the impact on learning design is growing at the same time as the volume, variety and velocity of data is increasing. Big data is here and how it is analysed leads to increases in productivity and revenue.
The openness and accessibility of online learning has led to masses of digital data that through the application of learning analytics has the potential to identify which
model(s) of learning optimises participant success and leads to improved engagement and outcomes.
Many organisations and vendors spend large amounts of time and effort in attempting to design learning resources including simulations, to maximise the value of interactions amongst learners, between learners and instructors and with content. Regardless of the approach taken a series of questions consistently arise: How effective are the resources? How are participants using them? How can the needs of participants be better supported? What interactions are effective? How can they be further improved?
Traditionally these questions have been answered via participant evaluations, analysis of grade and attrition rates, and instructor perceptions gathered at the end of the course. The emergence of learning analytics has been the ability to address these questions in real time.
Date: Tuesday 13 May 2014
Time: 10.00am to 4.00pm
Venue: Melbourne, Victoria
Simulation Australia Member Registration Fee: $405.00
Non-Member Registration Fee: $505.00
Simulation Australia Student Member Registration Fee: $250.00
Who Should Attend?
This Master Class provides an introduction to learning analytics and the variety of data that can be collected, analysed and visualised. Anyone involved in the development of training using a variety of resources and formats would be interested in learning what are the key metrics to assist participants in completing a unit/module and how best to present this data.
Highlighted Modules of the Master Class:
Section 1: Introduction to Learning Analytics
Section 2: Discussion of types of datasets and possible visualisations
Section 3: Industry example of simulation analytics
Section 4: Discussio
n on moving from data accessible to data informed
Dr Grace Lynch, Managing Director, Lynch & Associates
Dr Grace Lynch is an Executive Member and the Executive Manager of the Society for Learning Analytics Research. As the Managing Director of Lynch & Associates she is a highly regarded consultant and most recently was a keynote speaker for the [email protected] Conference on Learning Analytics: Separating the Hype from the Hope.
In addition she was a speaker at the Learning Analytics Summer Institute at Stanford University and the Australian Learning Analytics Summer Institute.
Dr Lynch has been an invited speaker at conferences in Australia, Europe, Asia and North America and has published over 75 proceedings, articles, book chapters and books.