Enabling Instructional Designers with AI-based Technology – Case Study

About the Client

The customer is a leading design and development company, specializing in custom eLearning development. They create training material for their clients and also provide content curation services.

Business situation

Since the client designs training and assessment content for L&D divisions of the other companies, they are needed to work on designing assessment questions as part of the training content, from time to time. This was a tedious and time-consuming task for their instructional designers as they had to manually curate questions from training content. At times, depending on the content, an SME would also be involved.

Now, framing questions manually is a big time sink for these instructional designers. A single good multiple-choice question may take up to 15 minutes to write. And you need a good number of such questions to each assessment. When you add expert reviews and client feedback to this, it implies a lot of added time and effort. That seemed to be a gap someone had to fill. The client started looking for a solution which could enable their instructional designers to create and curate questions faster, with no compromise on quality.

Our solution:

Solving the client’s challenge implied using an AI & ML-powered automatic question generation system, which could be fed with the content to produce assessment questions. The client then turned to Quillionz, – a leading AI-powered question generator, for help. Quillionz specializes in automated question generation from digital content. It uses proprietary AI and ML algorithms to generate and curate questions.

The client’s instructional designers started making use of Quillionz to generate questions based on the learning content. It drastically reduced their manual creation and curation efforts.

Benefits:

The client noticed several benefits, with the use of Quillionz, in their workflow. Some of the prominent ones were:

• Better Questions with human touch, generated by data-driven approach than structured questions
• Time and cost saving in terms of efforts spent by SMEs, Instructional designers and quality check teams
• Lesser dependency on domain experts for curation and quality validation of questions

Increased business potential capacity