What is the role of Learning Analtycs in Educational pedagogy design?

While searching I got few resources:

https://onlinelearningconsortium.org/wp-content/uploads/2016/02/Wise_LAK14_PedagogicalLearningAnalyticsInterventions.pdf

https://www.surf.nl/binaries/content/assets/surf/en/knowledgebase/2016/learning-analytics-in-education-design-a-guide-en.pdf

https://elearningindustry.com/learning-analytics-in-instructional-design-importance

I am finding difficult in summarizing it

Barbara Miller Hall

There can be many roles for learning analytics in curriculum and instructional design.

Obvious roles include assessment of student performance at an individual, cohort, institutional, national, and even international levels; results could indicate where revisions are needed in curricula or even individual lessons, depending on the level of analysis.

Learning analytics could also be predictive and identify individual students who are at-risk and may need additional supports. For example, there is software available that analyzes characteristics of online discussion posts and can predict which students may benefit from additional writing support - before jthe student has been unsuccessful in grading assignments.

While there are many ways that learning analytics can support curriculum design, we must remember that the first question is not how can we use learning analytic tools; rather, our first question is what do we want to know, followed by how might the tools help us respond to our first and primary question.

Questions first; data second.

Vinayak Hegde

Thank you Barbara Miller Hall for your excellent guidance. What you told at the end is true. Everyone concentrate on Learning Analytics tools rather than concentrating on questions and data .

Harry Barton Essel

Helps to predict learners’ performance One of the most significant benefits of analytics is that they can provide insight into not only how a learner is performing today, but also about his/her future performance throughout the duration of the eLearning course. For example, online facilitators may foresee if a particular learner is likely not to pass the eLearning course, or if the learner is likely to pass the eLearning course if additional support is provided (such as further readings or tutoring sessions). Therefore, analytics can help to determine if learners may benefit from supplementary eLearning materials and/or peer/instructor aid throughout the eLearning course. This leads to higher grades and a more meaningful and complete eLearning experience.

Provides learners with a personalized eLearning experience Through learning analytics, eLearning professionals and online instructors gain the ability to custom tailor eLearning experiences for each and every individual learner. If the data shows that a learner is taking a great deal of time to finish a particular eLearning module, then appropriate measures can be taken to offer learner more customized educational tools and eLearning course resources. For example, learners can be provided with links to sites that may help them to effectively comprehend the topic, or videos that allow them to learn through a more auditory/visual approach. No two learners are alike, and learning analytics gives eLearning professionals the power to ensure that no two eLearning experiences are alike either.

Increased learners’ retention rates Given that more learners have the opportunity to enhance their performance thanks to learning analytics data and intervention; fewer learners will drop out or fail the eLearning course. If a learner isn't faring well throughout the eLearning course, then he/she is less likely to be motivated to remain enrolled. As a result, a learner will simply stop participating, which means that institutions and/or organizations may see a steep decrease dropout rate and/or profits and learners simply won't benefit from the informative eLearning courses that are being provided.

Helps to improve future eLearning courses Not only can learning analytics help current learners, but can also help future learners as well. For instance, if the data shows that a vast majority of learners are finding one particular aspect of the eLearning course too challenging, then the developers can change the difficulty level of that specific eLearning module. This will lead to more powerful and impactful eLearning environments tomorrow, thanks to the data that has been collected today.

Boost in cost efficiency If you can gain an in depth understanding of how the eLearning courses and their respective resources are being utilized, and how learners are actually acquiring information, and which aspects of the deliverable are successful (and which are falling short, for that matter), then you have the power to achieve higher quality eLearning at a lower cost. For example, if you determine, through analytics, that a particular section of the eLearning course simply isn't helping learners to achieve their learning goals, then you can devote your resources to either improving it or focus on another area that may be a more worthwhile investment.

Airat Khasianov Popular answer

Learning analytics among other valuable insights can let you know what you are doing wrong in terms of curriculum design, cohort structuring, etc. It gives you the feedback you need to fine tune the processes, the content and the delivery.

Airat Khasianov

Hello Jack Son.

Material is helpful.

I am unable to connect to the resources. I am getting

403 Forbidden error. But I tried to access through https://onlinelearningconsortium.org/ later I searched LAK14 Pedagogical Learning Analytic I am able to get pdf file. PDF file is shared here for all .

Thank you Jack Son

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