"Hits" (not "Discussion Posts") predict student success in online courses: A double cross-validation study

نویسندگان

  • Cheryl Ramos
  • Errol Yudko
چکیده

The eYcacy of individual components of an online course on positive course outcome was examined via stepwise multiple regression analysis. Outcome was measured as the student’s total score on all exams given during the course. The predictors were page hits, discussion posts, and discussion reads. The vast majority of the variance of outcome was accounted for by total page hits. Participation in discussion had little to no eVect on performance as measured by outcome on exams. The results were double cross-validated with a sample chosen from another class. There was no shrinkage, indicating that the equations derived from the two samples were very reliable. © 2006 Elsevier Ltd. All rights reserved.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

From Posts to Patterns: a Metric to Characterize Discussion Board Activity in Online Courses

Asynchronous text based discussion boards are included in many online courses, however strategies to compare their use within and between courses, from a disciplinary standpoint, have not been well documented in the literature. The goal of this project was to develop a multi-factor metric which could be used to characterize discussion board use in a large data set (n=11,596 message posts) and t...

متن کامل

Is the Whole Greater than the Sum of Its Parts? a Comparison of Small Group and Whole Class Discussion Board Activity in Online Courses

Methods for characterizing asynchronous text-based discussions have received significant attention in the literature. In this study, we examine student and instructor posts made in seventeen undergraduate mathematics courses over the duration of a fifteen-week semester (n=6964 posts). We apply our previously developed multifactor discussion board metric to compare differences in student partici...

متن کامل

Good Time Management and Motivation Level Predict Student Academic Success in College On-Line Courses

Student academic success in college on-line courses was examined in relation to motivation, time-management and organzation. Participants included 40 students enrolled in college on-line courses. The Motivated Strategies for Learning Questionnaire was utilized to identify participants motivation level, time-management skills and organizational skills. A multiple regression analysis was used in ...

متن کامل

Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums

Massive open online courses (MOOCs) are redefining the education system and transcending boundaries posed by traditional courses. With the increase in popularity of online courses, there is a corresponding increase in the need to understand and interpret the communications of the course participants. Identifying topics or aspects of conversation and inferring sentiment in online course forum po...

متن کامل

Predicting Success in Massive Open Online Courses (MOOCs) Using Cohesion Network Analysis

This study uses Cohesion Network Analysis (CNA) indices to identify student patterns related to course completion in a massive open online course (MOOC). This analysis examines a subsample of 320 students who completed at least one graded assignment and produced at least 50 words in discussion forums in a MOOC on educational data mining. The findings indicate that CNA indices predict with subst...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Computers & Education

دوره 50  شماره 

صفحات  -

تاریخ انتشار 2008