scholarly journals Anxiety & Performance in Online Learning

10.28945/3736 ◽  
2017 ◽  
Author(s):  
Raafat George Saadé ◽  
Dennis Kira ◽  
Tak Mak ◽  
Fassil Nebebe
Keyword(s):  
Online Learning ◽  
Survey Methodology ◽  
Online Courses ◽  
Online Course ◽  
Future Research ◽  
Undergraduate Level ◽  
Psychological States ◽  
First Semester ◽  
Expected Performance

Aim/Purpose: To investigate the state of anxiety and associated expected performance in online courses at the undergraduate level. Background: Online courses continue to increase dramatically. Computer related anxieties remain an important issue, and, in this context, it has evolved to online learning anxieties with deeper psychological states involved. Consequently, performance is compromised. Methodology: A first semester online course in information technology was used for the study. A survey methodology approach was used for the anxiety scale measurements. A sample of 1377 participants was obtained. Contribution: Although there are many technology and internet related anxieties studies, they are relatively scarce. Characteristics of educational performance as they relate to anxiety have not matured and are still controversial. We contribute to this body of literature. Findings: 30% of students seem to experience some sort of anxiety with online courses. Female students are more anxious about taking online courses than male. Recommendations for Practitioners: Through successive iterations between design and measuring the experience of anxiety, it is important to identify and mitigate sources of anxieties and to design course with greater distribution of marks on more tasks. Recommendation for Researchers: Anxiety in online learning should take front stage as it represents an underlying stream of influence on all research in the field. Impact on Society: It has been shown that the progress of nations depends on the academic performance of its students. As such, studies have also shown that anxiety in learning affects performance. Ultimately this impacts the nation’s progress and quality of life. Future Research: Pedagogy for efficient and effective online courses to reduce anxieties and enhance performance.

scholarly journals The Persistence of Anxiety Experienced by New Generation in Online Learning

10.28945/4040 ◽  
2018 ◽  
Keyword(s):  
Online Learning ◽  
Survey Methodology ◽  
Online Courses ◽  
Online Course ◽  
Future Research ◽  
Face To Face ◽  
The World ◽  
Course Experience ◽  
New Generation ◽  
The Impact

Aim/Purpose: To investigate anxiety in online courses and its relationship with overall online courses satisfaction as it may vary with online courses experience. Background: Delivering online courses in higher education institutions continue to increase. Anxieties seem to be persistent. Although there are many technology and internet related anxieties studies, online courses anxieties are relatively scarce. The cause for this anxiety has not been resolved or addressed sufficiently. This study takes part in this quest. Methodology: A fully online course with not face to face interaction was used for the study. A survey methodology approach was used for the anxiety scale measurements. Over 1400 students participated in the survey. Contribution: Students taking online courses continue to be challenged with anxieties. Their experiences (number of courses taken) with online courses may influence their anxieties and satisfaction levels, but that has not been studies. We contribute to this body of literature. Findings: One third of students reported to continue to experience anxiety while taking their online courses. The effect of their anxieties on their satisfaction does not seem to be influenced by their online course experience. Recommendations for Practitioners: Focus on the various elements that may influence anxieties and satisfaction of students while taking courses. For IT designers, interface and point of interactions may be the aspect to pay attention to, while professors would need to consider course pedagogy and its interaction within the IT learning environment. Recommendation for Researchers: Anxiety in online learning should take front stage as it represents an underlying stream of influence on all research in the field. Further study of the effect of online course experience on satisfaction and anxiety is necessary. Impact on Society: Anxiety in learning has many detrimental effects that last a student’s career and personality over their entire life. The impact of reducing anxieties while online learning is significant and tangible especially that online learning is at its initial stages of an exponential growth and will change the world sooner than later. Future Research: Pedagogy for efficient and effective online courses to reduce anxieties and in-crease satisfaction.

scholarly journals Understanding Learner Behaviour in Online Courses through Learning Analytics

2021 ◽  
pp. 381-390
Author(s):  
D. Thammi Raju ◽  
G. R. K. Murthy ◽  
S. B. Khade ◽  
B. Padmaja ◽  
B. S. Yashavanth ◽  
...  
Keyword(s):  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Learning Experience ◽  
Training Needs ◽  
Online Course ◽  
Quality Of Education ◽  
Time Data

Building an effective online course requires an understanding of learning analytics. The study assumes significance in the COVID 19 pandemic situation as there is a sudden surge in online courses. Analysis of the online course using the data generated from the Moodle Learning Management System (LMS), Google Forms and Google Analytics was carried out to understand the tenants of an effective online course. About 515 learners participated in the initial pre-training needs & expectations’ survey and 472 learners gave feedback at the end, apart from the real-time data generated from LMS and Google Analytics during the course period. This case study analysed online learning behaviour and the supporting learning environment and suggest critical factors to be at the centre stage in the design and development of online courses; leads to the improved online learning experience and thus the quality of education. User needs, quality of resources and effectiveness of online courses are equally important in taking further online courses.

A Practical Guide to Evaluate Quality of Online Courses

2010 ◽  
pp. 228-248
Author(s):  
Yungwei Hao ◽  
Gary Borich
Keyword(s):  
Online Learning ◽  
Online Courses ◽  
Online Course ◽  
Course Structure ◽  
Decomposition Model ◽  
Practical Guide ◽  
Architectural Framework

This chapter introduces a graphic approach to define quality inonline courses. The Decomposition Model (Borich & Jemelka, 1982) is used to illustrate course structure and the salient characteristics of an effective online course. The constraints that influence the success of online courses are discussed. Salient transactions (activities) that occur in online coursesare described. And the means-end continuum in the process of online learning is illustrated graphically. The chapter is expected to provide readers with a whole picture of a qualityonline course through an architectural framework.

A Practical Guide to Evaluate Quality of Online Courses

2010 ◽  
pp. 324-343
Author(s):  
Yungwei Hao ◽  
Gary Borich
Keyword(s):  
Online Learning ◽  
Online Courses ◽  
Online Course ◽  
Course Structure ◽  
Decomposition Model ◽  
Practical Guide ◽  
Architectural Framework

This chapter introduces a graphic approach to define quality in online courses. The Decomposition Model (Borich & Jemelka, 1982) is used to illustrate course structure and the salient characteristics of an effective online course. The constraints that influence the success of online courses are discussed. Salient transactions (activities) that occur in online courses are described. And the means-end continuum in the process of online learning is illustrated graphically. The chapter is expected to provide readers with a whole picture of a quality online course through an architectural framework.

Using Course Maps for Easy Classroom to Computer Transition

2011 ◽  
pp. 2226-2230
Author(s):  
Stephanie J. Etter ◽  
Lisa T. Byrnes
Keyword(s):  
Online Learning ◽  
Online Courses ◽  
Online Course ◽  
History Of Higher Education ◽  
Web Based ◽  
Course Content ◽  
Face To Face ◽  
Learning Programs ◽  
History Of

Online learning is the fastest growing segment in the educational marketplace (Conhaim, 2003). As the number of online courses increases and distance learning programs grow in popularity, questions of quality and comparability of online courses with traditional methods naturally arise (Schulman & Sims, 1999). While online learning is the fastest growing educational segment, partly in thanks to on-campus students who choose to take courses online, there are still debates about not only the quality of the course content, but the quality of the technology used as well. According to Bowman (2003), in “the history of higher education, online classes are relatively new, and it is yet to be determined how to take full advantage of the technology” (p. 73). Traditional face-to-face courses, which may have been proven successful in terms of evaluations and outcomes assessments, are increasingly being converted to online courses. A study by Smith, Ferguson, and Caris (2000) concluded: “Contrary to intuition, current Web-based online college courses are not an alienating, mass-produced product. They are a laborintensive, highly text-based, intellectually challenging forum which elicits deeper thinking on the part of the students” (p. 67). Converting a traditional classroom course that is intellectually challenging and that elicits deeper thinking into an online course that can do the same can be a harrowing task. The process of converting a face-to-face course into an online course without compromising the course’s integrity and quality is a difficult burden to overcome. The burden of the conversion process can be eased, however, through the use of course maps.

Learning Analytics Considered Harmful

2012 ◽  
Vol 16 (3) ◽  
Author(s):  
Laurie P Dringus
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Research Community ◽  
Current Status ◽  
Online Course ◽  
Full Potential

This essay is written to present a prospective stance on how learning analytics, as a core evaluative approach, must help instructors uncover the important trends and evidence of quality learner data in the online course. A critique is presented of strategic and tactical issues of learning analytics. The approach to the critique is taken through the lens of questioning the current status of applying learning analytics to online courses. The goal of the discussion is twofold: (1) to inform online learning practitioners (e.g., instructors and administrators) of the potential of learning analytics in online courses and (2) to broaden discussion in the research community about the advancement of learning analytics in online learning. In recognizing the full potential of formalizing big data in online coures, the community must address this issue also in the context of the potentially "harmful" application of learning analytics.

Quality of learning experience, student satisfaction and perceived overall experience in the COVID-19 context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Venugopal Prabhakar Gantasala ◽  
Swapna Bhargavi Gantasala ◽  
Tareq Na'el Al Tawil ◽  
Prerana Prasad
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Online Courses ◽  
Learning Experience ◽  
Decision Makers ◽  
Undergraduate Level ◽  
Content Type ◽  
The Relationship ◽  
Medical Programs

PurposeThe intention for this study was to explore any relationship that might exist between quality of learning experience (QLE), the second construct student satisfaction (SS) and the third construct perceived overall experience (POE) among undergraduate students within the higher education context. This study also attempts to explain the path direction between QLE, SS and POE.Design/methodology/approachThe researchers utilized structural equation modeling to analyze the variables considered for this study – QLE, SS and POE and for hypotheses testing. Respondents for this study were medical students' coordinators of the undergraduate level of medical colleges in the 28 states of India. Data collected for the study were possible by utilizing a questionnaire that was emailed to these student coordinators. The emailing effort returned 198 (n) filled questionnaires (complete) representing 198 institutions offering undergraduate-level medical programs out of a total of 542 institutions that offer undergraduate medical programs.FindingsFindings from this study confirm the relationship between QLE with SS, and PLE. Interestingly, the findings established a significant relationship between SS and POE.Practical implicationsDecision-makers and administrators of higher education institutions (HEIs) can utilize the findings from this study to focus on strengthening important elements of QLE in ways that positively impact SS and POE of students taking online courses and program offerings. The study reiterates the importance of course content, course structure, lecture-delivery quality, instructor mentoring and student-instructor interactions on SS and POE. The role of SS in reinforcing confirmation, perceived usefulness, perceived openness of the online courses and the perceived reputation was established. This relationship is key to administrators while they focus on improving SS and building on the institutions' reputation in addition to their efforts to support marketing and enrollments during the pandemic.Originality/valueResearchers in the past have examined the relationships between QLE and another construct of this study – SS. Past research has also examined the relationship between QLE and POE. However, there is not enough research exploring the relationship between SS and POE. This study establishes the relationship between SS and POE that benefits decision-makers in higher education.

scholarly journals Applying the Matrix Model in an English for Presentation Online Class during COVID-19 Pandemic: A Case Study of an Undergraduate Class in Thailand

2021 ◽  
Vol 14 (9) ◽  
pp. 12
Author(s):  
Prapaporn Sompakdee ◽  
Wichuta Chompurach ◽  
Werachai Thanamaimas ◽  
Siraprapa Kotmungkun
Keyword(s):  
Online Learning ◽  
Matrix Model ◽  
Online Courses ◽  
Private University ◽  
Online Course ◽  
The Matrix ◽  
Online Course Development ◽  
Data Collections ◽  
Class Presentation ◽  
Academic Year

During the COVID-19 pandemic, online learning was an important topic for scholars. A private university in Khon Kaen Province, Thailand followed a policy to create online courses for every subject to ensure that education could proceed effectively. To correspond with the policy, the Matrix Model was integrated with the online course development of an English for Presentation class at this private university. The Matrix Model is also known as SAMR which refers to Substitution, Augmentation, Modification, and Redefinition. The online course was presented in the third semester of the academic year of 2019 with 77 participants who volunteered to participate in this course. The research instruments used in this study were observation, surveying, and interview. The data collections were done at the beginning, during, and after the course to provide a comprehensive study of online learning. The data revealed both positive opinions and obstacles associated with this online learning. The results of using the SAMR model in this study do provide benefits to students and educators and show that 84% of the participants prefer online presentation over in-class presentation.

scholarly journals Online Student Use of a Proximate Community of Engagement at an Independent Study Program

2018 ◽  
Vol 22 (1) ◽  
Author(s):  
Darin R Oviatt ◽  
Charles R. Graham ◽  
Jered Borup ◽  
Randall S Davies
Keyword(s):  
Online Community ◽  
Online Courses ◽  
Independent Study ◽  
Online Course ◽  
Future Research ◽  
Study Program ◽  
Online Student ◽  
Effective Interactions ◽  
To Receive

Research has suggested that independent study students may benefit from engaging with a proximate community of engagement (PCE) while completing an online course and that they perceive that such engagement will help them succeed. Independent Study students were surveyed at the completion of their course to assess the level at which they actually interacted with a PCE. Survey findings were confirmed with follow-up interviews with students and their parents to triangulate survey data. Findings revealed that students in the study interacted with a PCE when completing the course. The percentage of students actually engaging with a PCE was lower than the percentages of students from a previous study who perceived that such engagement would be helpful. The research suggests that students made aware of the benefits of a PCE at the beginning of the course, and who receive coaching to curate that community as an assignment in the course, will be more likely to receive the learning benefits of community engagement. Future research to confirm the value of engaging with a proximate community, identifying most helpful and effective interactions, and helping students curate such a community were proposed. Keywords: Independent study, adolescent, online courses, online community, adolescent community of engagement, proximate community of engagement

Using Learning Analytics to Enhance Student Learning in Online Courses Based on Quality Matters Standards

2016 ◽  
Vol 45 (2) ◽  
pp. 165-187 ◽  
Author(s):  
Florence Martin ◽  
Abdou Ndoye ◽  
Patricia Wilkins
Keyword(s):  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Online Course ◽  
Design Quality ◽  
Descriptive Data ◽  
Quality Matters ◽  
Frequency Of Use ◽  
And Performance ◽  
Enhance Student Learning

Quality Matters is recognized as a rigorous set of standards that guide the designer or instructor to design quality online courses. We explore how Quality Matters standards guide the identification and analysis of learning analytics data to monitor and improve online learning. Descriptive data were collected for frequency of use, time spent, and performance and analyzed to identify patterns and trends on how students interact with online course components based on the Quality Matters standards. Major findings of this article provide a framework and guidance for instructors on how data might be collected and analyzed to improve online learning effectiveness.

Sign in / Sign up

Export Citation Format

Share Document