Predicting student performance in a blended MOOC
نویسندگان
چکیده
منابع مشابه
Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study
With the success and proliferation of Massive Open Online Courses (MOOCs) for college curricula, there is demand for adapting this modern mode of education for high school courses. Online and open courses have the potential to fill a much needed gap in high school curricula, especially in fields such as computer science, where there is shortage of trained teachers nationwide. In this paper, we ...
متن کاملPredicting MOOC performance with Week 1 Behavior
Prior studies on Massive Open Online Courses (MOOCs) suggest that there is a significant decrease in student participation after one week of instruction [8]. This paper uses a combination of students’ Week 1 assignment performance and social interaction within the MOOC to predict their final performance in the course. The study also examines the role external incentives in final MOOC performanc...
متن کاملPredicting Student Academic Performance in Blended Learning Using Artificial Neural Networks
Along with the spreading of online education, the importance of active support of students involved in online learning processes has grown. The application of artificial intelligence in education allows instructors to analyze data extracted from university servers, identify patterns of student behavior and develop interventions for struggling students. This study used student data stored in a M...
متن کاملThe Effect of Peer Assessment Rubrics on Learners' Satisfaction and Performance Within a Blended MOOC Environment
Massive Open Online Courses (MOOCs) have a remarkable ability to expand access to a large scale of participants worldwide, beyond the formality of the higher education systems. MOOCs support participants to be actively involved in collaborative learning and construct their own learning experience in a variety of domains. However, one of the biggest challenges facing MOOCs is how to assess the l...
متن کاملPredicting Performance on MOOC Assessments using Multi-Regression Models
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior activity in the course. We develop a personalized li...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computer Assisted Learning
سال: 2018
ISSN: 0266-4909
DOI: 10.1111/jcal.12270