scholarly journals Length of online course and student satisfaction, perceived learning, and academic performance

2010 ◽  
Vol 11 (2) ◽  
pp. 73 ◽  
Author(s):  
Janet M. Ferguson ◽  
Amy E. DeFelice
Keyword(s):  
Academic Performance ◽  
Student Satisfaction ◽  
Online Courses ◽  
Course Evaluation ◽  
Online Course ◽  
Perceived Learning ◽  
Student Responses ◽  
Summer Sessions ◽  
Dependent Variables ◽  
Independent Variable

This research presents findings from a two-part study. In the first part, graduate students taking online courses were given a course evaluation form. Student responses from online abbreviated summer sessions were compared to student responses from online full-semester courses. Both the intensive and full-semester courses were taught by the same professor and both had identical requirements in terms of assignments and exams. The independent variable was the length of time taken to complete the requirements, with the dependent variables being satisfaction with the course, perceived learning, and academic performance. A statistical analysis of the data found significant differences in a number of areas.

scholarly journals How medical education survives and evolves during COVID-19: Our experience and future direction

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243958
Author(s):  
Ju Whi Kim ◽  
Sun Jung Myung ◽  
Hyun Bae Yoon ◽  
Sang Hui Moon ◽  
Hyunjin Ryu ◽  
...  
Keyword(s):  
Medical Education ◽  
Academic Performance ◽  
Medical School ◽  
Student Satisfaction ◽  
Online Courses ◽  
Clinical Skills ◽  
Skills Training ◽  
Online Course ◽  
Clinical Clerkship ◽  
Online Classes

Background Due to the outbreak of coronavirus disease 2019 (COVID-19), school openings were postponed worldwide as a way to stop its spread. Most classes are moving online, and this includes medical school classes. The authors present their experience of running such online classes with offline clinical clerkship under pandemic conditions, and also present data on student satisfaction, academic performance, and preference. Methods The medical school changed every first-year to fourth-year course to an online format except the clinical clerkship, clinical skills training, and basic laboratory classes such as anatomy lab sessions. Online courses were pre-recorded video lectures or live-streamed using video communication software. At the end of each course, students and professors were asked to report their satisfaction with the online course and comment on it. The authors also compared students’ academic performance before and after the introduction of online courses. Results A total of 69.7% (318/456) of students and 35.2% (44/125) of professors answered the questionnaire. Students were generally satisfied with the online course and 62.2% of them preferred the online course to the offline course. The majority (84.3%) of the students wanted to maintain the online course after the end of COVID-19. In contrast, just 13.6% of professors preferred online lectures and half (52.3%) wanted to go back to the offline course. With the introduction of online classes, students' academic achievement did not change significantly in four subjects, but decreased in two subjects. Conclusions The inevitable transformation of medical education caused by COVID-19 is still ongoing. As the safety of students and the training of competent physicians are the responsibilities of medical schools, further research into how future physicians will be educated is needed.

An Empirical Analysis Of Student Satisfaction Influential Factors In Online Learning

2011 ◽  
Vol 2 (1) ◽  
pp. 37
Author(s):  
Alina Payne ◽  
Reza G. Hamzaee
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Online Education ◽  
Student Satisfaction ◽  
Online Courses ◽  
Course Evaluation ◽  
Instructional Effectiveness ◽  
Influential Factors ◽  
Online Course ◽  
Course Effectiveness

There exists the need to better understand the effectiveness of online education.  In recent years, academic institutions (of higher education) have increased the number of online courses offered to students.  The purpose of this study is to identify the factors that are most influential in determining student satisfaction of overall course effectiveness and overall instructor effectiveness in online higher education.  The main research question is: What factors influence student satisfaction of overall course effectiveness and instructional effectiveness?  Through an application of step-wise regression procedure, hypotheses will be tested to determine any influential factors for students’ satisfaction with course and instructional effectiveness. The data source will be online course evaluation results at colleges in the state of Connecticut.  The results of the study will allow higher education administrators and instructors to make more effective decisions regarding online students, online course offerings, the distribution of funds within online education. Furthermore, the results will allow instructors to more effectively manage online courses, and allow students to increase personal effectiveness with respect to the online learning process.

scholarly journals ON THE NATURE AND DEVELOPMENT OF SOCIAL PRESENCE IN ONLINE COURSE DISCUSSIONS

2019 ◽  
Vol 9 (3) ◽  
Author(s):  
Karen Swan ◽  
Li Fang Shih
Keyword(s):  
Student Satisfaction ◽  
Social Presence ◽  
Course Design ◽  
Online Courses ◽  
Computer Mediated Communication ◽  
Online Discussions ◽  
Influential Factor ◽  
Online Course ◽  
Mediated Communication ◽  
Quantitative Results

“Social presence,” the degree to which participants in computer-mediated communication feel affectively connected one to another, has been shown to be an important factor in student satisfaction and success in online courses. This mixed methods study built on previous research to explore in greater depth the nature of social presence and how it develops in online course discussions. The study combined quantitative analyses of survey results from students enrolled in four online graduate courses, and qualitative comparisons of students with the highest and lowest perceptions of social presence. Quantitative results revealed significant correlations between perceived social presence and satisfaction with online discussions, and teased apart the respective influences of the perceived presence of instructors and peers. The findings indicate that the perceived presence of instructors may be a more influential factor in determining student satisfaction than the perceived presence of peers. Correlations with other course and learner characteristics suggest that course design may also significantly affect the development of social presence. Qualitative findings support the quantitative results. In addition, they provide evidence that students perceiving the highest social presence also projected themselves more into online discussions,and reveal meaningful differences in perceptions of the usefulness and purpose of online discussion between students perceiving high and low social presence.

Measuring the success of scaleable open online courses

2014 ◽  
Vol 15 (3) ◽  
pp. 145-162 ◽  
Author(s):  
Jane E. Klobas
Keyword(s):  
Course Design ◽  
Online Courses ◽  
Course Evaluation ◽  
Point Of View ◽  
Online Course ◽  
Design Development ◽  
Holistic View ◽  
Content Type ◽  
Team Members ◽  
Course Success

Purpose – The purpose of this paper is to propose measures of online open course success for non-commercial institutional providers of massive open online courses (MOOCs) and other scaleable open online courses (SOOCs). Design/methodology/approach – The measures are derived from the characteristics of open online courses, existing knowledge about open online course providers and users and their motivations, and current practice in MOOC evaluation and data analytics. Findings – Current practices for evaluation of open online courses are dominated by MOOC analytics which provide insights into user demographics and behaviour with some implications for evaluation of reach and course design but leaving many unknowns. Measures for evaluation of success at the institutional level can be derived from institutional goals for open online courses. Success from the point of view of teachers and technical teams involved in design, development and delivery of open online courses can be derived from team members’ expectations, resources and satisfaction as well as measures of cost and effort compared to budget and benchmarks. Users are classified as registrants (information seekers, window shoppers, samplers), downloaders and participants (starters, partial participants and full participants who are further divided into auditing, active and certificate takers); different measures are appropriate for each group. Practical implications – Practitioners and researchers must consider a variety of levels and indicators of success to adequately evaluate open online courses. Tables in the text propose measures, methods, timing and roles. Originality/value – This is the first published paper to take a holistic view of open online course evaluation and propose detailed measures.

Predicting Student Satisfaction and Outcomes in Online Courses Using Learning Activity Indicators

2017 ◽  
Vol 12 (1) ◽  
pp. 32-50 ◽  
Author(s):  
Kenneth David Strang
Keyword(s):  
Academic Performance ◽  
Student Satisfaction ◽  
Online Courses ◽  
Learning Activity ◽  
Online Activity ◽  
Web Based ◽  
Student Academic Performance ◽  
Learner Interaction ◽  
E Learning ◽  
Online Web

The premise for this study was that learner interaction in an online web-based course could be assessed in relation to academic performance, or in other words, e-learning. Although some studies reveal that learner interaction with online content is related to student academic performance, it remains unproven whether this is casual, or even if there may be a significant correlation. Thus, this study seeks to measure if there is a directional and then a casual relationship between student online academic performance, engagement analytics and other online activity factors. A unique aspect of this study is that data is collected from Moodle engagement analytics as well as from the activity logs. Student academic performance is measured based on the grade achieved from an assessment designed to map to the course learning objectives.

The Power of the Human Face in Online Education

2019 ◽  
Vol 10 (1) ◽  
pp. 13-26 ◽  
Author(s):  
Dale Patterson
Keyword(s):  
Online Education ◽  
Student Satisfaction ◽  
Online Courses ◽  
Learning Opportunities ◽  
Online Course ◽  
Human Face ◽  
Online Delivery ◽  
Course Materials ◽  
Personal Level ◽  
Education Courses

The modern student exists in a highly technical and digitally driven educational world. Online delivery of courses and interactions, with the primary purpose of enhancing learning, and access to learning opportunities is becoming almost mainstream. Yet, despite the broad availability of online education courses and systems, the completion rates and levels of student satisfaction with online courses remains comparatively low. Studies have indicated that online students are seeking personal engagement to drive their learning. This project looked at the importance of having a human face at the heart of the online course materials to help develop a more personal level of engagement. The project, carried out between 2016 and 2018, involved a randomized control trial of 84 students, and compared two sets of course materials, for a common course topic, one with human face-based resources, and one without. The results clearly showed a significant increase in student engagement with the human face-based resources, but the learning outcomes, for those who completed, were not significantly different between the two groups.

Assuring Quality in Online Course Delivery

2011 ◽  
Vol 2 (1) ◽  
pp. 36-49 ◽  
Author(s):  
Julia M. Matuga ◽  
Deborah Wooldridge ◽  
Sandra Poirier
Keyword(s):  
Student Learning ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Online Courses ◽  
Critical Issue ◽  
Course Evaluation ◽  
Essential Elements ◽  
Course Delivery ◽  
Online Course ◽  
Cultural Issue

This paper examines the critical issue of assuring quality online course delivery by examining four key components of online teaching and learning. The topic of course delivery is viewed as a cultural issue that permeates processes from the design of an online course to its evaluation. First, the authors examine and review key components of and tools for designing high impact online courses that support student learning. Second, in this paper, the authors provide suggestions for faculty teaching online courses to assist in creating high quality online courses that supports teaching and, consequently, facilitates opportunities for student learning. Quality online course delivery is also contingent on the support of faculty by administration. Lastly, this paper provides suggestions for conducting course evaluation and feedback loops for the continual improvement of online learning and teaching. These four components are essential elements in assuring quality online courses.

Assuring Quality in Online Course Delivery

2012 ◽  
pp. 28-41
Author(s):  
Julia M. Matuga ◽  
Deborah Wooldridge ◽  
Sandra Poirier
Keyword(s):  
Student Learning ◽  
Teaching And Learning ◽  
Online Courses ◽  
Critical Issue ◽  
Course Evaluation ◽  
Essential Elements ◽  
Course Delivery ◽  
Online Course ◽  
Cultural Issue ◽  
Learning And Teaching

This paper examines the critical issue of assuring quality online course delivery by examining four key components of online teaching and learning. The topic of course delivery is viewed as a cultural issue that permeates processes from the design of an online course to its evaluation. First, the authors examine and review key components of and tools for designing high impact online courses that support student learning. Second, in this paper, the authors provide suggestions for faculty teaching online courses to assist in creating high quality online courses that supports teaching and, consequently, facilitates opportunities for student learning. Quality online course delivery is also contingent on the support of faculty by administration. Lastly, this paper provides suggestions for conducting course evaluation and feedback loops for the continual improvement of online learning and teaching. These four components are essential elements in assuring quality online courses.

scholarly journals Sentiment Analysis of Online Course Evaluation Based on a New Ensemble Deep Learning Mode: Evidence from Chinese

2021 ◽  
Vol 11 (23) ◽  
pp. 11313
Author(s):  
Xiaomin Pu ◽  
Guangxi Yan ◽  
Chengqing Yu ◽  
Xiwei Mi ◽  
Chengming Yu
Keyword(s):  
Sentiment Analysis ◽  
Online Courses ◽  
Course Evaluation ◽  
Online Course ◽  
Gray Wolf ◽  
Ensemble Model ◽  
The Stability ◽  
Deep Feature Extraction ◽  
Short Time

In recent years, online course learning has gradually become the mainstream of learning. As the key data reflecting the quality of online courses, users’ comments are very important for improving the quality of online courses. The sentiment information contained in comments is the guide of course improvement. A new ensemble model is proposed for sentiment analysis. The model takes full advantage of Word2Vec and Glove in word vector representation, and utilizes the bidirectional long and short time network and convolutional neural network to achieve deep feature extraction. Moreover, the multi-objective gray wolf optimization (MOGWO) ensemble method is adopted to integrate the models mentioned above. The experimental results show that the sentiment recognition accuracy of the proposed model is higher than that of the other seven comparison models, with an F1score over 91%, and the recognition results of different emotion levels indicate the stability of the proposed ensemble model.

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