Collaborating Authors

Machine Learning Applications in E-Learning: Bias, Risks and Mitigation


In recent years, there has been a lot of focus on adaptive e-learning, fueled by the advances of machine learning and artificial intelligence. As the one-size-fits-all approach of e-learning loses its appeal and online course attrition rates continue to rise, there is a move toward more personalized and adaptive learning to engage learners and achieve better learning outcomes. Personalized and adaptive learning has the ability to change learning content or the mode of delivery on the fly and to provide real-time feedback to learners. The origin of adaptive learning came from the research of intelligent tutoring systems, recommender systems and adaptive hypermedia. The advent of machine learning and artificial intelligence techniques have helped the plethora of platforms and tools that support adaptive learning flourish.

2018 Learning Trends in Cloud Computing Industry


Democratization of content: In 2018, we will see more professionals outside of the training team contributing in creation of content. The concept of crowd sourcing will evolve in a big way with solution architects, professional services, and support organizations creating the content. Customers and partners will also contribute content as they implement the cloud computing solutions and identify new use cases and design and implementation best practices. This trend will see the role of training organizations evolving. Training teams will act more as a strategy and content curation arm providing tools and templates to the subject matter experts to develop the content and then curating the content.

How AI, ML Are Transforming the Corporate E-Learning Landscape


In today's digital age, artificial intelligence (AI) has found its applications in almost all spheres of life and business. In a time when organizations find it increasingly challenging to upskill and reskill their workforce, they are adopting AI to deliver effective corporate e-learning solutions. These solutions offer a personalized way for employees to learn and grow as per their needs. There are many ways AI helps to facilitate the overall corporate training and development experience. These days, the one-size-fits-all strategy doesn't work in regards to training the millennial work force.

eLearning Trends In 2020 To Look Out For - eLearning Industry


In December 2019, I began work on my eBook and this article on eLearning trends in 2020. This is the ninth in a series of articles and eBooks on eLearning trends since 2017. Here is my list of eLearning trends in 2020. I believe all of these will be an integral part of workplace learning in the near future. Given the large number of trends, I have logically grouped them into 3 sections.

AI Remote Learning for Professionals


The way we work has changed and it's continuing to change. People are working remotely while being part of their team irrespective of the location. With this change, traditional training methods being restrictive and costly have become less relevant. One of the challenges faced by teachers is to provide customized learning catering to the needs of every student. As different students have different requirements, even teaching one student is an arduous task as the teacher is challenged to find the right curriculum to meet their requirements.