Technology Overview

Learning analytics systems collect, measure and report data about learners to support instructors to understand students’ learning and make informed interventions to optimize learning. Existing technologies mainly make use of log data collected from the learning environment and aggregate statistics such as no. of access to learning resources, learning activity attempts and performances. Those statistics will be used as features of students’ learning to derive learning patterns or train predictive models. While the features related to resource accesses and performances are insightful, the data that captures the process of how students solve the problems in learning activities could provide teachers more insight on students’ mastery of the knowledge and problem-solving strategies. In our learning analytics system for step-based learning activities, we collect, analyze and visualize students’ problem-solving steps and patterns. By correlating the analysis result with resource accesses and performance, teachers, as well as students themselves, can have a more informed intervention/reaction on how to improve learning and achieve learning outcome.

Potential Applications

The technology could be used for analytics and business intelligence on sequence-based tasks and processes. Adopting the technology, features in the sequences could be extracted, analysed and presented.

Market Trends and Opportunities

Currently, for setting up analytics functions, companies could either making use of basic data processing and visualization libraries to build the whole analytics system from scratch, enabling the total customization of the tools; or, making use of existing systems such as Tableau and QlikView to realize the required functions on the system, lacking of the ability for free customization. Our technology tried to provide a solution in between the two approaches if the company would like to analyze sequential processes.

Customer Benefits

The technology provides a generic analytics framework. Adopting the framework, customers could setup analytics and business intelligence functions easily on top of their existing technology infrastructure.