Journal Article

Applying Learning Analytics for the Early Prediction of Students' Academic Performance in Blended Learning

Owen H. T. Lu, Albert J. Q. Lin, Hiroaki Ogata, Jeff C. H. Huang, Anna Y. Q. Huang, Stephen J. H. Yang

2018

Overview

Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and as a part of our Precision education used to analyze and predict students' performance and provide timely interventions based on student learning profiles. This study applied learning analytics and educational big data approaches for the early prediction of students' final academic performance in a blended Calculus course. Real data with 21 variables were collected from the proposed course, consisting of video-viewing behaviors, out-of-class practice behaviors, homework and quiz scores, and after-school tutoring. This study applied principal component regression to predict students' final academic performance. The experimental results show that students' final academic performance could be predicted when only one-third of the semester had elapsed. In addition, we identified seven critical factors that affect students' academic performance, consisting of four online factors and three traditional factors. The results showed that the blended data set combining online and traditional critical factors had the highest predictive performance.

• Publisher: International Forum of Educational Technology ＆ Society,National Taiwan Normal University,International Forum of Educational Technology & Society
• Subject: Academic achievement / Academic learning / Analysis / Analytics / At Risk Students / Big data / Blended Learning / Calculus / College Mathematics / College Students / Data Analysis / Data Collection / Data management / Datasets / Distance learning / Educational aspects / Educational environment / Educational Technology / Factor Analysis / Foreign Countries / Homework / Internet resources / Large Group Instruction / Learning / Learning Activities / Learning Analytics / Massive open online courses / Mathematical analysis / Mathematics Achievement / Mathematics Instruction / Mathematics Tests / Methods / Online learning / Performance prediction / Predictor Variables / Real variables / Regression (Statistics) / Regression analysis / Scores / Special Issue Articles / Statistical Analysis / Students / Technology Uses in Education / Tutoring / Video Technology