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# online education system

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Examining the Effectiveness of Online Learning Within a Community College System: An Instrumental Variable Approach » The authors estimate the impact of online versus face-to-face course delivery on student course performance, as indicated by course persistence and final grade.

Employing the TAM in predicting the use of online learning during and beyond the COVID-19 pandemic » Online learning systems have become an applied solution for delivering educational content, especially in developing countries, since the start of the COVID-19 pandemic. The present study is designed to identify the factors influencing the behavioral…

An Interactive Online Educational Applet for Multiple Frequencies of Radar Observations » Abstract Radar is an important tool for investigating and forecasting processes in Earth’s atmosphere. More specifically, multiple frequencies of radar with sensitivities to cloud and precipitation regimes are important for process-level weather and climate studies. An online educational applet ( has been developed to provide a learning experience about this topic with an intended audience of undergraduate and graduate university–level students. Cloud-resolving model data coupled with a radar instrument simulator provide a three-dimensional view of a midlatitude winter cyclone that is explorable through the applet. This synthetic laboratory environment provides direct comparisons between modeled hydrometeors and simulated instrument observations allowing students to visualize the concepts of attenuation, non-Rayleigh scattering, insensitivity of instruments, and viewing perspective. Variations in the minimum detectable signal of instruments also expose students t

Role Ambiguity in Online Courses: An Analysis of Student and Instructor Expectations » Using data on two community colleges, this paper examines how expectations about the roles of online student and instructor differ between the two groups.

Student Engagement Predictions in an e-Learning System and Their Impact on Student Course Assessment Scores » Several challenges are associated with e-learning systems, the most significant of which is the lack of student motivation in various course activities and for various course materials. In this study, we used machine learning (ML) algorithms to identify low-engagement students in a social science course at the Open University (OU) to assess the effect of engagement on student performance. The input variables of the study included <i>highest education level</i>, <i>final results</i>, <i>score on the assessment</i>, and the number of clicks on virtual learning environment (VLE) activities, which included <i>dataplus</i>, <i>forumng</i>, <i>glossary</i>, <i>oucollaborate</i>, <i>oucontent</i>, <i>resources</i>, <i>subpages</i>, <i>homepage</i>, <i>and URL</i> during the first course assessment. The output variable was the student level of engagement in the various activities. To predict low-engagement students, we applied several ML algorithms to the dataset. Using these algorithms, trained models were first obt

Online B.A., Ph.D. & M.A. Programs - The Chicago School » Pursue a career in psychology with The Chicago School's online degree program. We offer flexible, part-time online courses meant to fit your schedule.


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