MAPPING LEARNING OBJECTIVES AND STUDENT PERFORMANCE THROUGH DATA INTEGRATION AND LEARNING ANALYTICS

It is a well-established fact throughout the education literature that there exists a gap in students' knowledge on concepts in mathematics. Most of the discussion about this gap is surrounded around the lack of students' knowledge in the area of developmental mathematics. The goal of this paper is to present three things: - A unique way of integrating data on student performance and mapping it to the concepts that are being tested on the assessment of student performance at the university level. Present a new data integration and concept mapping system to understand the students' shortcomings in the basic areas of mathematics. To showcase the ways in which professors, instructors and teaching assistants can use the topic level data to enhance their instruction to address the knowledge gap. A map of future work that involves predictive analytics for retention of students in the STEM disciplines is presented.