Boosting employee productivity
Boosting employee productivity with game-based learning solutions 
April 15, 2024
E-learning cover Image
The Essentiality of Employee Training 
May 14, 2024
Boosting employee productivity
Boosting employee productivity with game-based learning solutions 
April 15, 2024
E-learning cover Image
The Essentiality of Employee Training 
May 14, 2024

Tap into the Potential of Learning Analytics Insights

Brian Gold
Author: Brian Gold
Talent Solutions Advisor, Ozemio

In delivering mandatory compliance training, various compliance courses are uploaded to an LMS. Yet by what method can an organization ensure that their learners have: studied each course slide, completed the course, or fully understood all the course topics?

While all the above can be achieved through qualitative, subjective reports from managers and co-workers, learning analytics has proven a far more useful and reliable tool.

Learning analytics is the collection, analysis, and reporting of data to track learners and their interactions within an e-learning course. Learning analytics collects data that examines the learner’s behavior and engagement with a course with the goal of improving the quality of the course content and its instructional design strategy. Additionally, analytics can be used to improve learner retention and employee learning.

Thus, learning analytics can effectively track:
Completed Courses Number of employees who’ve successfully completed a course
Earned certificate, points, and course scores
Course participation statistics
Engagement Employee feedback and post-training surveys
Time spent on the course
Engagement level of assets, such as video, infographic, animation, and interactivity
Performance Metrics Sales conversion rates
Customer satisfaction ratings
Behavioral Metrics Content experience mapping employee expectation
Type of devices used to access the course
Most preferred time to learn

Through the use of learning analytics, an organization can track how much time learners have spent on a course, how many times they’ve accessed the course, and how many topics they’ve completed, all of which help determine whether or not the course is engaging, thus allowing the organization to make the necessary changes to improve course engagement and completion rates.

As a further step, an organization can use slide-level analytics to track how learners engage with the course slides, thus making it easier to identify which entities users choose on slides, how long they spend looking at the slide contents, and what text they type when answering open-ended questions.

In order to better understand what statistics learning analytics can track, let’s consider a few scenarios:

  • Meera completed the POSH Awareness course with a score of 90%. It took her five minutes to complete the quiz and 30 minutes to complete the course.
  • Joseph viewed the POSH incidents in a 2022 infographic for 45 seconds.
  • Sameer answered Question #1 in the POSH Awareness course by responding: "I should reach out to the HR representative in the case of a POSH incident."

Slide-level analytics utilize Experience API (xAPI) by which one can collect consistent, readable, and flexible data about employee experience with the course.

The xAPI statements are stored in a database called Learning Record Store (LRS), which will soon be the norm for companies because cmi5, an xAPI profile that defines content-to-LMS communication, is replacing SCORM.

Thus, an organization can track data on the assessment and quiz results, including the number of correct answers, completion times, and scores, information that can help identify the areas where learners are struggling, thereby enabling the organization to design additional resources, performance support, or activities to support learning.

In conclusion, an organization can use learning analytics, employee data, and other methods (like skills gap analysis) to create training programs that are comprehensive and help achieve the organizational goals.

Brian Gold is a versatile and innovative Talent Solutions Advisor with over 15 years of experience in L&D and Sales Enablement. He’s passionate about driving business outcomes by enhancing team performance and well-being. Brian specializes in building talent frameworks that strengthen internal dynamics and foster a purpose-driven culture.

Author: Brian Gold
Talent Solutions Advisor, Ozemio

Author

Laxmi Arun

In delivering mandatory compliance training, various compliance courses are uploaded to an LMS. Yet by what method can an organization ensure that their learners have: studied each course slide, completed the course, or fully understood all the course topics?

While all the above can be achieved through qualitative, subjective reports from managers and co-workers, learning analytics has proven a far more useful and reliable tool.

Learning analytics is the collection, analysis, and reporting of data to track learners and their interactions within an e-learning course. Learning analytics collects data that examines the learner’s behavior and engagement with a course with the goal of improving the quality of the course content and its instructional design strategy. Additionally, analytics can be used to improve learner retention and employee learning.

Thus, learning analytics can effectively track:

Completed Courses Number of employees who’ve successfully completed a course
Earned certificate, points, and course scores
Course participation statistics
Engagement Employee feedback and post-training surveys
Time spent on the course
Engagement level of assets, such as video, infographic, animation, and interactivity
Performance Metrics Sales conversion rates
Customer satisfaction ratings
Behavioral Metrics Content experience mapping employee expectation
Type of devices used to access the course
Most preferred time to learn

Through the use of learning analytics, an organization can track how much time learners have spent on a course, how many times they’ve accessed the course, and how many topics they’ve completed, all of which help determine whether or not the course is engaging, thus allowing the organization to make the necessary changes to improve course engagement and completion rates.

As a further step, an organization can use slide-level analytics to track how learners engage with the course slides, thus making it easier to identify which entities users choose on slides, how long they spend looking at the slide contents, and what text they type when answering open-ended questions.

In order to better understand what statistics learning analytics can track, let’s consider a few scenarios:

  • Meera completed the POSH Awareness course with a score of 90%. It took her five minutes to complete the quiz and 30 minutes to complete the course.
  • Joseph viewed the POSH incidents in a 2022 infographic for 45 seconds.
  • Sameer answered Question #1 in the POSH Awareness course by responding: "I should reach out to the HR representative in the case of a POSH incident."

Slide-level analytics utilize Experience API (xAPI) by which one can collect consistent, readable, and flexible data about employee experience with the course.

The xAPI statements are stored in a database called Learning Record Store (LRS), which will soon be the norm for companies because cmi5, an xAPI profile that defines content-to-LMS communication, is replacing SCORM.

Thus, an organization can track data on the assessment and quiz results, including the number of correct answers, completion times, and scores, information that can help identify the areas where learners are struggling, thereby enabling the organization to design additional resources, performance support, or activities to support learning.

In conclusion, an organization can use learning analytics, employee data, and other methods (like skills gap analysis) to create training programs that are comprehensive and help achieve the organizational goals.


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