We are living in a data-driven world. Our ability to collect data and then analyze that data in order to generate useful insights has grown exponentially. More and more organizations across a variety of industries are leveraging the power of data to help them understand their users better and determine the most appropriate ways to meet their needs. And the education field is no exception.

Nowadays, technology plays an integral role in teaching and learning, with Learning Management Systems (LMSs) already garnering information about student interactions with course material and ancillary content. Faculty and administration can analyze this information to better understand gaps in students’ learning, and with the use of specific learning tools, to define educational pathways that will help close those gaps.

These tools are known as “adaptive e-learning systems” and are related to three main areas:

  • Adaptive Content: Consists of offering additional specific content based on quantified student progress determined by information collected through their experience digesting course materials. Feedback, hints or extra exercises fall within this category.
  • Adaptive Assessment: Consists of selecting the questions to be presented to a given student based on previous answers and on the perceived level of his/her understanding of a set of target topics.
  • Adaptive Sequence: Content and sequencing are decided on a student-by-student basis, making use of machine learning algorithms and predictive analytics.

Field research reveals that adaptive e-learning has a meaningful impact on student success. For example, a white paper published by Education Growth Advisors at Arizona State University reports an 18 percent increase in pass rates and a 47 percent decrease in withdrawals in adaptive math courses. Another interesting case is from the University of New South Wales, where the introduction of adaptive tutorials in a foundational first-year Engineering Mechanics course led to a decline in the course drop-out rate from 31 percent to 14 percent.

Interestingly, controlled studies carried out by six public universities on an Introductory Statistics Course found that online adaptive students completed the course 25 percent faster than students in a face-to-face version while achieving similar performance levels.


ADLearning uses existing course content and is accessible through the Partner Cloud or ‘Content Market’ within the Blackboard Learn and Moodlerooms ecosystem.

IADLearning uses existing course content and is accessible through the Partner Cloud
or ‘Content Market’ within the Blackboard Learn and Moodlerooms ecosystem.

As part of our commitment to helping institutions enable student success, we recently entered into a Signature Partnership with IADLearning, a software that offers students a personalized e-learning experience based on their profile and educational needs. This innovative software is now accessible to all Blackboard LMS users worldwide.

Owned by iTop Training, a specialist provider of e-learning software, analytics and services, IADLearning helps institutions positively impact student performance by:

  • Providing students with personal content recommendations based on their profile and the analysis of all learning experiences taken place using the same course content.
  • Providing teachers and institutions with invaluable insights on the efficacy of their learning processes and course content.
  • Offering comprehensive e-learning analytics allowing instructors to track student progress and development.

IADLearning uses existing course content and is accessible through the Partner Cloud or ‘Content Market’ within the Blackboard Learn and Moodlerooms ecosystem.

Do you want to learn more about IADLearning and help you achieve your e-learning goals? Click here to request a demo.

Interested in becoming a Blackboard partner? Click here.

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