Implementing a learning system for any organisation is not an easy task. It requires deep analysis of the organisation’s requirements, resources and estimation of the future needs as well.
The key to a proper implementation of any learning system is identifying the constraints and defining the specifications for the system. This study, known as the ‘Detailed Constraint Analysis’, helps in identifying the constraints which might create a roadblock during the actual implementation. (Download this INCITE Micro-learning Framework to find out more about Detailed Constraint Analysis)
Here are the 7 recommended parameters one must check to ensure that the implementation specifications are comprehensive:
1. Device Constraints – These constraints pertain to whether the micro-learning is being built for the mobile or the desktop or both. Based on the answer to this question, constraints with respect to operating systems, screen orientation and sizing, app vs. web, etc. need to be further analyzed.
2. Security Constraints – These constraints pertain to the data and access security concerns of the organization. These can range from basic questions like whether the learning is to be accessible only inside the office to more complex issues like remote wiping of learning data on exits, etc.
3. Bandwidth Constraints – These constraints pertain to the network bandwidth available for the learning system. These constraints are typically derived from surrogate analysis of geographical dispersion and network capabilities of the devices on which the learning is to be deployed.
4. Org Structure Constraints – These pertain to the team structures within the company and non-hierarchical structures (like Leadership Group, Committees, etc.) that might be present. The main aspect to analyze is the likelihood and extent of overlap between multiple micro-learning systems for a learner who might belong to multiple cohorts.
5. Engagement Level Constraints – A lot of organizations seek to tread cautiously on the extent of engagement they would like to implement. The interaction level of the micro-learning has to be kept on the fine line which creates motivation without creating obsession which hampers work.
6. Learner Psychology Constraints – Depending on the organizational DNA and employee profiles, it is critical to understand the needs and attitudes of the learner groups and design the system accordingly. In this section, it is also critical to assess how learners might try to “game the system”.
7. Learning Objective Constraints – Ultimately, it all comes down to the learning objectives that you want to drive through the system. Depending on the objectives you want to achieve, you will need to make trade-offs on engagement, length, seriousness, etc.
Document the above constraints and your Learning System Specifications are ready! Now you can move on to the next stage – Designing the micro-learning system. (How to design a micro-learning system for your organisation in 6 easy steps)
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