scholarly journals ONLINE LEARNING IN EDUCATION SECTOR REVEALING THE BENEFITS AND CHALLENGES

2020 ◽  
pp. 20-23
Author(s):  
Prof. N. Venkata Rao ◽  
P. Divakara Rao
Keyword(s):  
Online Learning ◽  
Learning Style ◽  
Online Courses ◽  
Educational Opportunities ◽  
Online Course ◽  
Education Students ◽  
School Closures ◽  
Low Socioeconomic ◽  
Online Coursework ◽  
Constructive Criticism

COVID-19 pandemic has led to secure disruptions in normal life, including closure of schools. It has impacted over 240 million children of the country who are enrolled in schools. Extended school closures may cause loss of learning. Online courses have the potential to open the pathways for more opportunities for students in “small, rural, or low socioeconomic school districts”. Online courses offer an excellent way for students to expand their educational opportunities and keep on competitive in the ever challenging realm of education. Students embarking on the path of higher education through online coursework need to be self-motivated, independent, and responsible learners. Understanding one’s learning style and skills will allow students to more accurately determine if online learning is suitable for them. Instructors and course designers will also benefit from understanding the aspects of a course that increase students’ understanding and participation. Communication in terms of supportive comments, constructive criticism, and prompt feedback from instructors to students is a key component of online courses. There are a number of drawbacks and potential issues that students may face while participating in an online course.

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.

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 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.

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.

Flying SOLO for Student Success

2015 ◽  
pp. 244-265
Author(s):  
Regina L. Garza Mitchell ◽  
Gina L. Cano-Monreal
Keyword(s):  
Online Learning ◽  
Online Education ◽  
Student Success ◽  
Technical College ◽  
Online Courses ◽  
First Year Experience ◽  
First Year ◽  
Student Preparedness ◽  
Low Socioeconomic ◽  
Global Workforce

This chapter describes how one innovative practice evolved to become an integral part of the college's efforts to increase student preparedness and success in courses so that they will be employable and competitive in the global workforce. Texas State Technical College Harlingen aimed to enhance student success in online education through implementing a mandatory class, Student Online Learning Orientation, for new online students. The course was developed as the result of faculty research and recommendations regarding online learning at the college. The majority of students at the college are underprepared and from low socioeconomic backgrounds, putting them at a disadvantage in taking these courses. Rather than a barrier to taking online classes, the goal of this class is to provide students with the necessary tools and skills to be successful. Results of the program show an increase in persistence and completion of online courses, and the course has become an integral part of the college's training and first-year experience for all students.

Most courses are not born digital

2014 ◽  
Vol 31 (4) ◽  
pp. 217-229 ◽  
Author(s):  
Evangeline Marlos Varonis
Keyword(s):  
Online Learning ◽  
Peer Review ◽  
Review Process ◽  
Course Design ◽  
Online Courses ◽  
Peer Review Process ◽  
Online Course ◽  
Shared Services ◽  
Online Course Design ◽  
Content Type

Purpose – The purpose of this paper is to discuss benefits of and barriers to online learning and describe utilization of the Quality Matters (QM) peer review process as a method to assure the quality of online courses. It outlines the QM higher education rubric, explains how the collaborative QM peer review process facilitates online course design and certification, reports on the development of a statewide consortium in Ohio, and explores future directions in online courses. Design/methodology/approach – This paper offers a brief historical review of the incorporation of technology into teaching and learning. It describes attitudes toward online learning and the creation of the non-profit QM program as a vehicle for improving online course design. It summarizes the eight standards of the QM rubric, describes the QM peer review process, and discusses the implementation of the Ohio QM Consortium (OQMC) as a shared services model. Findings – Given existing barriers to online learning, the QM program can improve learning outcomes by offering best practices in online course design, validating the quality of online courses, encouraging faculty buy-in through a focus on design rather than content, and facilitating degree completion through recognition of quality courses. Practical implications – Institutions that seek to validate online course quality in a cost-effective manner can explore a shared services model such as that developed by the OQMC. Originality/value – This paper introduces to an international audience a program and process, widely implemented in the USA, which encourages inter-institutional cooperation and promotes a supportive culture among online educators.

scholarly journals Strategies for innovative teaching and learning Part 2: How to deliver a distance education online course

2021 ◽  
Vol 11 (9) ◽  
pp. 39
Author(s):  
Constance E. McIntosh ◽  
Diana Bantz ◽  
Cynthia M. Thomas
Keyword(s):  
Distance Education ◽  
Online Learning ◽  
Distance Learning ◽  
Teaching And Learning ◽  
Online Courses ◽  
Online Course ◽  
Innovative Teaching ◽  
Advantages And Disadvantages ◽  
Learning Platform ◽  
History Of

The second article in a three-part series discusses how to deliver a distance education online course by i) assuring understanding of the learning platform, ii) developing a course model, iii) creating individual assignment rubrics for courses, iv) requiring active participation from both instructor and students, and v) setting-up quality communication. This paper is a continuation of the first paper whereby the history of distance learning, the positives and negatives of online learning, advantages and disadvantages of online learning, and the initial considerations for establishing online courses.

scholarly journals Malaysian Learners’ Preferences-Based Profile Model Towards Adaptive Massive Open Online Courses

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Mohammed A. Gharawi ◽  
Azman Bidin ◽  
Koo Ah Choo
Keyword(s):  
Online Education ◽  
Learning Style ◽  
Quantitative Research ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Massive Open Online ◽  
Quantitative Research Methods ◽  
Non Profit ◽  
Massive Open Online Course

Massive open online courses’ technology is becoming the most recent innovations in online education and academia. Recently, it has been widely adopted in educational sectors and gained popularity among both students and instructors. Massive open online courses have rapidly become a trend in the field of higher education and received much recognition from scholars and non-profit educational organizations. Therefore, there has been a growing interest in investigating its limitations, challenges, and impact on education. Some issues and problems have been reported in the research and practice, such as problems related to massive open online course learners’ motivation and engagement during the courses, and course contents’ presentations have a significant impact on learner’s motivation. However, there have been few contributions to the literature in discerning the varying motivational drivers for choosing to consume the different presentation styles of massive open online courses. Therefore, the main goal of this work is to propose an innovative framework for adaptive massive open online course based on learners’ preferences. As such, the courses’ presentations are adapted to the preferred learning style of each learner. In this regard, this paper was conducted based on quantitative research methods.

scholarly journals Self-Regulation Students’ Online Learning Behavior in General Education Courses of University of Phayao

2021 ◽  
Vol 16 (14) ◽  
pp. 269
Author(s):  
Narin Nonthamand ◽  
Narissara Suaklay
Keyword(s):  
Decision Making ◽  
Online Learning ◽  
General Education ◽  
Online Courses ◽  
Self Regulation ◽  
Stepwise Multiple Regression ◽  
Online Course ◽  
Learning Behavior ◽  
General Education Courses ◽  
Education Courses

This research were aimed 1) to survey the self-regulation behavior among of University of Phayao students 2) to survey the online learning behavior among of University of Phayao students and 3) to study factors on self-regulation that has an influence on an online learning. Sample Group con-sisted of 450 students who enroll general education course of an online courses. The research tool was questionnaire forms about self-regulation in an online course and online learning behavior. The statistics were used to an-alyse the data as follows: mean (M), standard deviation (S.D.), and Stepwise Multiple Regression Analysis. The result found that 1) the students’ behavior on self-regulation was mainly on decision making (M = 3.89) 2) the students’ online learning be-havior was mainly on learner aspect (M = 3.88) and 3) the factors that sup-port students’ online learning behavior consisting of self-observation factor, decision making factor and self-regulation factor. The percentage was 39.90, and shown the raw score and standard score was found from this formula online learning behavior = 0.822 + 0.423 (self-reaction) + 0.183 (self-observation) + 0.141 (decision making) Z online learning behavior = 0.377 Z self-reaction + 0.169 Z self-observation + 0.137 Z decision making

scholarly journals Student Initiative Empowers Engagement for Learning Online

2021 ◽  
Vol 25 (3) ◽  
Author(s):  
Houston Heflin ◽  
Suzanne Macaluso
Keyword(s):  
Online Learning ◽  
Learning Environment ◽  
Student Perceptions ◽  
Online Courses ◽  
Online Course ◽  
Online Learning Environment ◽  
Self Assessment ◽  
Face To Face ◽  
Amount Of Information

Assessing the degree to which students engage and learn from their online courses will be important as online courses are becoming more ubiquitous. This study sought to capture student perceptions of their independence as learners, their level of engagement, their effort exerted, and the amount of information they learned in online courses. The study was conducted over three years with 455 students who completed a self-assessment at the end of an intensive summer online course. Results showed an equal number of students agreeing and disagreeing that online courses help students learn the same amount of information encountered in a face-to-face course. The majority of students reported they were more independent (84.4%), were more engaged (54.5%) and exerted more effort (57.4%), in their online course than a typical face-to-face class. Recommendations are made for faculty creating online courses who have the opportunity to coach students on how to succeed in the online learning environment.

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