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.
Years ago, I remember attending a classroom-based training program where written feedback was provided at the end of the session. Back then, this was the only way to measure the impact of a training program. But, with an increasing number of organizations opting for e-learning and blended learning as a part of their training strategy, new methods to measure training effectiveness have evolved.
Does the online training program meet learners’ expectations? Or are you spending your training budget on training programs that are totally unnecessary? All these questions can be answered by applying learning analytics. Every time a learner accesses an eLearning course through your organization’s LMS, there is some data that is captured. For example, data on the learners’ progress in a particular course, or the time taken to complete an online training program can be tracked through the LMS. This data can be analyzed to establish training patterns, and improve the efficiency of online training programs.
The incorporation of e-Learning solutions into corporate training has opened up exciting avenues for development in employee learning. With e-learning programs, training departments can rest assured that the challenges of time and space have been addressed, as training can be effectively dispersed to employees across diverse geographical locations. This is all well and good, but how do you know if your employees are completing courses as expected, engaging with the content, and whether the training is proving effective? For all you know, learners may be busy texting or making calls while simply skimming through the online course content. This lack of engagement in the training program, is more difficult to track in online courses.