Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course

As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI prediction models focus on the development and optimization of the accuracy of AI algorithms rather than applying AI models to provide student with in-time and continuous feedback and improve the students' learning quality. To fill this gap, this research integrated an AI performance prediction model with learning analytics approaches with a goal to improve student learning…

• NN
  National Natural Science Foundation of China

  Awards: 20210308, 62177041
• ZU
  Zhejiang University

  Award: 20220310
• UO
  Universitat Oberta de Catalunya
• DO
  Division of Graduate Education