Big Data analytics – making sense of the large volumes of data created by Internet users. It is a revolutionary development in the world of information technology that has profound implications for the corporate world. Every day, companies across the world try to get insights into the interests and preferences of people, by analyzing the massive quantities of data generated over the Web. This data is enabling companies to come up with effective marketing campaigns and products that are better-suited to the needs of consumers.
Learning analytics is becoming increasingly popular in the learning space of organizations across the globe. The only problem though is that organizations are struggling to put a sustainable strategy in place to make use of learning analytics. Most companies are content with a snapshot analysis of e-learning courses, and this does not contribute toward improving online training programs.
The purpose of online training programs in the corporate world is to help employees perform better in their jobs, thereby improving organizational performance. Businesses demand learning that is rapid, customized, takes minimal time of learners, while at the same time adhering to a tight budget. As a result, functional and training managers are under constant pressure to do more, with less. Two questions that are posed to them by business stakeholders are:
Did you know that every time you use a digital device to access the Internet, you leave behind a digital footprint? The next time you surf the web, notice the targeted advertisements from your favorite online store or news feed. This is possible because your digital footprint has been used to gather information about the kind of content that you are interested in. Each online activity that you perform generates data, and the humongous amount of data that can be used to extract value is termed ‘big data’.
Learning analytics has become a vital strategy in various organizations to meet their training needs. With the advent of this data-driven analytics, it has become easy to determine the level of learner engagement and improve the effectiveness of online training programs.
Formative assessments play a key role in assessing the understanding of learners at the end of each unit or topic of an online course and reinforce learning.
Completion of an eLearning course does not guarantee its success; a high score in the assessment does not mean that learners have gained a thorough understanding of the subject. So, as a training manager, how do you judge if the online course that you’ve rolled out has an effective assessment?
Learning Analytics is quickly becoming a part of the training strategy in organizations around the world. There was a time when decision makers used to take crucial decisions on rolling out training programs in their organization based on their observations and perceptions. This scenario has changed as decisions have become data-driven, paving the way for learning analytics implementation.
Assessments are an integral part of training programs and determine whether the goals of the training program are met. Consider this scenario:
The sales team in your organization has completed an online training program on a new product. A majority of the reps has scored more than 80% in the online assessment. Does that mean that your eLearning course is a resounding success?
An increasing number of organizations across the globe are showing an interest in learning analytics. The reason behind this is that learning analytics can help an organization understand how best to train its employees, making the investment in training programs more worthwhile.