This study examined the effectiveness of 3 online courses compared with the same 3 courses in a face‐to‐face (F2F) format, which had the same characteristics (e.g., the same instructor and final exam content and place). Effectiveness was examined by utilizing a wide range of variables, including 2 objective measures (N = 968): grades and completion rate; and 9 subjective measures (N = 360): 7 measures include instructional aspects (course structure, learning content, lessons watched, assignments, communication), engagement, and satisfaction. Findings indicate significant differences between online and F2F courses in most of the examined variables. Students in the online courses reported better understanding of the course structure, better communication with the course staff, watching the videos lessens more, and higher engagement and satisfaction. Students in the F2F courses reported better contribution of the learning content. Students' final grades were higher in the online courses, and no differences were found in the completion rate. The findings suggest that in many of the examined effectiveness aspects, online courses are as effective as, or more effective than, F2F courses. Interpretations of the findings are discussed.
This study examined students' engagement characteristics in online courses and their impact on academic achievements, trying to distinguish between course completers and noncompleters. Moreover, this research is intended to differentiate between those who pass the final exam and those who do not. Four online courses were examined with a similar pedagogical model (Nstudents = 646) using learning analytics methods. The results revealed significant differences between students who completed the courses and students who did not, in all 13 variables. Completers' learning activities were more than twice as high, except for writing in the forums. Course subject and ongoing task and assignment submissions predicted course completion, whereas, in addition to these variables, engagement with course materials and reading the forums predicted final exam success, as well. Thus, the prediction of success in final exam emphasized the significant importance of engagement in various activities in the online course.
In recent years there has been a proliferation of massive open online courses (MOOCs), which provide unprecedented opportunities for lifelong learning. Registrants approach these courses with a variety of motivations for participation. Characterizing the different types of participation in MOOCs is fundamental
This study explores and characterizes learners' participation patterns in MOOC forums, as well as the factors that correlate with learners' participation. Educational data mining and learning analytics methods were used to retrieve and analyze the learners' interpersonal interaction data, which had accumulated in the Coursera log files. The content in the forums was categorized based on Henri's criteria and converted into quantitative values that could be compared and visualized. It was found that only 20% of the learners were collaborating in the forums throughout the entire course and were responsible for 50% of the total posts. A portion of them earned the name "Super Active." The analyses not only demonstrated the volume of activity and its pattern but also revealed the content of the discussions, which helped to highlight the needs and reasons for students' usage of the forums. The content analysis showed intensity in the "Cognitive" and "Discipline" categories. Thus, forum participants benefit from discussions not only socially but disciplinarily and cognitively as well. Furthermore, even though a strong significant correlation was found between the learners' completion status and their activity in the forums, a group of learners, who did not complete the course, was highly active.
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