Learning Outcomes

Upon successful completion of this course, you should be able to

• define learning and knowledge analytics and detail how these differ from educational data mining.
• map the developments of technologies and practices that influence learning and knowledge analytics as well as developments and trends peripheral to the field.
• evaluate prominent analytics methods and tools and determine appropriate contexts where the methods would be most effective.
• describe how “big data” and data-driven decision making differ from traditional decision making and the potential implications of this transition in education, training, and general organizational functioning.
• evaluate “intelligent curriculum” as a basis for future content development and its connection to analytics.
• design and implement a model deploying learning analytics relating to a course or specific area of study.
• evaluate the potential impact of the semantic web and linked data on the development of learning resources and curriculum.
• detail various principles that organizational leaders need to consider in order to roll out an integrated knowledge and learning analytics model in an organizational setting.
• describe and evaluate developing trends in learning and knowledge analytics and determine their potential impact on teaching, learning, and organizational knowledge.