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148 Online Learning Essay Topic Ideas & Examples

🏆 best online learning topic ideas & essay examples, 💡 most interesting online learning topics to write about, 📚 good research topics about online learning, 🌐 interesting topics to write about online learning, 💻 research title about online classes, ❓ research questions about online learning, 💯 free online learning essay topic generator.

  • Contrasting an Online Class to a Traditional Class In most cases, the traditional class syllabus is usually a bit wider hence offering the trainee much more as opposed to online classes where there is lack of provisions for diversification of the subject.
  • Comparison of Stress Level Among Traditional Learning and Online Learning College Students The distance learners have been perceived to be enjoying a suitable environment of learning as opposed to the traditional classroom learners who experience high levels of stress.
  • Administrative Progressivism in Relation to Online Learning The main idea of the discussion is to consider online learning from the perspective of administrative progressivism with identifying the advantages and disadvantages of using the mentioned approach along with the chosen method of study.
  • Online Learning Is a Superior Form of Education This paper will argue that online learning is a superior form of education since it helps students and learning institutes to overcome limitations imposed by the traditional learning environment.
  • Impact of Online Classes on Students Essay The thesis statement for this study is: “online learning has positive impact on the learners, teachers and the institution offering these courses” Online learning or E learning is a term used to describe various learning […]
  • Creating Student Engagement in Online Learning Environment To contribute to creating and stimulating student engagement in online learning environments, it is important to focus on such factors as the increase of students’ motivation, focus on independent and inquiry-based learning, the active role […]
  • Changes in Learning and Motivation With the Advent of Online Learning Institutions of learning have introduced online learning through improvement of infrastructure, incorporation of new technologies in learning, recruitment of professionals who are conversant with new technologies, and revision of curriculums in order to accommodate new […]
  • Concept of Distance Learning in Modern Education System The accessibility of the distance learning courses mainly depend on the awareness of the instructor to the accessibility issues and how the instructor can best handle the course with consideration of accessibility.
  • Online Learning and Classroom Learning Combining the two concepts then, we can define e-learning “as a learning environment that exists solely in the form of digital content that is stored, accessed and exchanged through networked computer and information systems” The […]
  • Convenience and Flexibility of the Online Classes The advantage of online courses for full or part-time employed individuals is that you can plan how you take your courses. Online classes also introduce students to a variety of web-based tools and techniques that […]
  • Online Classes Vs. Traditional Classes Essay The essay shall endeavor to examine the differences between online classes and the traditional classes, with a preference for the later.
  • Distance Learning Foundational Concepts Another problem that arises as a result of distance learning is the lack of face to face or one on one contact between teachers or instructors and their students.
  • Distance Learning OL and Interactive Video in Higher Education The two-way communication systems as well as the need to interact ‘physically’ between and among the participants are what propelled the adoption of this mode of learning.
  • Transition From Traditional Education to Online Learning The speed of information transfer at any time and anywhere through the internet makes online learning relatively cheap compared to the traditional education system.
  • High School of Virtual Learning Environment The aim will be to see incorporation of the system, the opportunities, and the challenges faced while using Virtual Learning Environment.
  • Virtual Learning Environment: Concord Consortium The problem is that this capitalization can be perceived as sign of rudeness, and it can make reluctant to take part in the discussion. Provided that a teacher can promote the involvement of students, they […]
  • Ethical Issues in Online Learning The online assessment methods should consider the ethical issues arising from the learning process. The assessment methods should be able to prevent all forms of dishonesty during the learning process.
  • Tone Impact in Distance Education Thus, in this paper, the tone will refer to the tone the instructor implies in the text material and the tone of conversations between the instructors and the students.
  • Formulating an Online Learning Course Reviewing is done from the student side where a person analyzes the content and readability of the information contained in the online learning program.
  • Traditional v. Distance Learning Systems On the other hand, in online learning, the students partake learning individually, and in some cases, students doing the same course in the same college do not even get to know each other.
  • Technology Acceptance Model of Online Learning The findings of the study demonstrate the effectiveness of external variables related to online learning environments in predicting the ability of users to adopt online learning community.
  • Using Wikis to Encourage Online Classes Collaborative Work The problem is that the entire process seems to ignore the relevance of enabling students to interact and share their ideas in the learning environment.
  • Virtual Learning Environments: Effective Use Tutors often face the challenge of effective delivery of lessons in the classroom given the diverse categories of students. Learning objects basically refer to blocks of content that can be interlinked to produce a course.
  • Efficient Interaction in Distance Learning Classroom The problem is that the number of enrolments in the online form of education is augmenting, even as the knowledge regarding the factors that influence the effectiveness of distance education continues to be scarce.
  • Online Learning and Innovations in Pedagogy On the other hand, computer-based learning can be understood as a learning environment in which computers are used to mediate between learners and content without necessarily being online.
  • Distance Learning and Its Evolution Definitions of distance education are varied and diverse, but the main concept of distance learning can be summarized from the situation wherein the student and the educator are separated by distance and time and the […]
  • The Importance of Virtual Learning Communities The learning communities enable the instructors and the students to volunteer their questions. The virtual learning communities enable online degree programs to give students autonomy over the learning process.
  • Learning Objectives Implementation With the advent of the internet, online courses have sprouted resulting in the debate on the two options, traditional class setting, and the online class.
  • Distance Education: Best Practices and Approaches The study with the use of a case-based learning system undertaken by Cifuentes, Mercer, Alverez, and Bettati in 2010 demonstrated that students could remotely participate in the learning process without the need to be physically […]
  • Distance Learning and Virtual High School This implies that district schools in lines with virtual High school are of much importance to both the educators and students.
  • Online Learning Space Creating Process On the other hand, a community of practice has been known to mean a crowd of people who are in the same career or share the same interest.
  • Online Learning Principles and Objectives In this way, the students will not only argue the purposes and significance of the course to their life, but also create an interactive session among the students and their instructor. As the instructor, I […]
  • Evaluating Online Learning Tools The learners can be referred to reliable wikis and blogs to integrate the ideas learnt from the class. In this manner, the desires of people to learn are not limited by distance and time.
  • Online Learning Environments The questions will be posted to the group by the instructor. The learners are likely to face a number of challenges in the course of the module.
  • Online Classes for High School Students I wish to submit to you that the need for extra input in terms of study has caused many parents to enroll their children in online study classes to supplement the knowledge they get from […]
  • Online Class and Its Outcome Measurement The focus of the paper will be on the aspect of public evaluation while considering what was involved while evaluating the impact on the class. Therefore, these are some of the outcome measures that can […]
  • Innovative Social Networking in Online High School The preparedness of the school is also critical towards the success of this innovative technology. The school should also examine the benefits and bottlenecks of the new technology.
  • Online Learning Design Specifications The rapid rise of technologies and the evolution of communication means resulted in the appearance of new approaches to the learning process.
  • Personal Reflections for the MBA Distance Learning I was able to concentrate on various subjects, complete assignments, and liaise with different instructors throughout the learning process. The approach made the learning process desirable and capable of supporting my aims.
  • Nurses and Virtual Learning Environments: Understanding Limits in Nursing Education Despite the expected benefits and improvements in nursing education due to the use of virtual learning environments, this practice may create a number of challenges for students and teachers.
  • Online Learning and Learning Behaviours In such a way, the main reason for the creation of this project is the increased popularity of online learning and the need for the in-depth investigation of this phenomenon because of its increased demand.
  • Social Constructivism in Cooperative and Distance Learning As opposed to the behaviorist view of learning which gives more importance to the imitation aspects of the learner in the learning process, this constructivist theory gives greater room for the active interaction of the […]
  • Distributed and Distance Learning Systems It is a system that can be of great impact to the researchers this is because one is able to get information that will help him or her get a cue for that group that […]
  • Distance Learning Fulfilling Education Purpose Distance learning mode of education, which is a kind of education that takes place when the teachers and the students are separated by space and time, does not entirely serve the purpose of education. The […]
  • Online Learning in Vocational Education and Training There are different variations in the process of learning on the basis of the types of combination and integration with the other technologies used for the teaching and learning process.
  • Virtual Learning: Yes and No Argumentation The argument stems from the quality of the education that can be received via the internet and what the drawbacks are once there is no physical contact between students and the professors.
  • How to Succeed in Online Classes The time you attend the class has to coincide with the time of day when your brain is also most receptive to the information it receives.
  • Earning a Degree Through Distance Education Though both foreign and traditional education institutions provide knowledge and skills to students in order to enable them become competent in their profession, the institutions vary in the quality of degree courses they provide to […]
  • Why Distance Education Can Fulfill the Purpose of a True Education? The only reason I can see for professors to frown upon distance education is that it has removed their infallibility in the eyes of the students.
  • Benefits of Online Learning This knowledge and skill one gains from online help the person to intermingle with others in a better way, progress their profession, or develop their business successfully.
  • Professional Development Methods: Distance Education Technologies Professional development at universities has included methods to assist faculty in improving course design and educational methods, as well as in becoming familiar with and applying educational technologies, such as distance education tools. These centers […]
  • Online Learning Institutions and Courses This account allows you to access the online learning institutions library. Which are the most reliable online learning institutions?
  • Online Learning in Jordan Universities: Effectiveness and Obstruction For the quality learning process, e-learning has been developed to use different approaches to ease the process of learning. E-learning is a novel idea in most of the Arab world and it has come with […]
  • Negotiation: Distance Learning and Social Change The conflict that arises, in this case, is that the Pirates are demanding ransom money from the owners of the tanker in order to release it and its crew. The essay has given a detailed […]
  • Distance Education Problem Overview Generally, distance education can be evaluated as a binary prospect: on one hand, it presents a row of advantages for the people who are busy with their work and family duties, and on the other […]
  • Software Engineering Online Learning Center However, it is not easy to tell what the website is promoting just by the look of the homepage and thus, visitors with less time might not be interested to click to the sub-sections and […]
  • New Online Learning Platform: Market Analysis The goal of online education is to enhance the knowledge of people who want to pursue a particular career for a fee that is lesser when compared to offline studies in Universities.
  • Maximizing the Effectiveness of Online Learning Flipped learning allows the teacher to provide the greatest amount of time for direct interaction with students, which is especially important in the framework of online learning.
  • Design Thinking for Online Learning Project In this paper, attention will be paid to the problem of a lack of engagement with online learning and a reflection on design thinking as its solution.
  • Distance Learning Experiences of In-Service Music Teachers From Puerto Rico The study explores the experiences of in-service music teachers in distance learning. This paper examines the motivations of in-service teachers in distance learning.
  • Rhetorical Analysis of the Distance Education The essay can be addressed both to the children and parents for whom the issues of health and psychology are important.
  • Pros and Cons of Distance Education On the one hand, modernization of education allows it to expand the usual boundaries of transmitting and receiving information in the educational process while retaining all the integral components.
  • Comparison of Online Learning and Traditional Learning
  • Historical and Socio Cultural Analysis of Online Learning
  • Analysis of Using Online Video Lecture on Learning Outcome: The Mediating Role of Student Interaction and Student Engagement
  • Advantages and Disadvantages of Synchronous and Asynchronous Learning in an Online Class
  • Analysis of the Cyber School as an Institution With Online Methods of Learning
  • Benefits & Issues of Online Learning
  • Swot Analyis for Online Learning
  • Comparing the Effectiveness of Classroom and Online Learning
  • How Does Prior Knowledge Impact Students Online Learning Behaviors?
  • How Learning Online Works?
  • How Technology Can Improve Online Learning?
  • Is Face For Face Learning Better Then Online Learning?
  • Online Classes : A Successful Learning Environment
  • Online Learning For Students With Disabilities
  • Pros And Disadvantages Of Online Education
  • Should Online Learning Be Encouraged?
  • Knowledge Gradient Algorithm for a General Class of Online Learning Problems
  • Three Online Learning Strategies
  • Virtual Learning Environment and Online Education
  • What Factors Promote Sustained Online Discussions and Collaborative Learning in a Web-Based Course?
  • Adult Learning In An Online Environment
  • Analysis on Early Design for Online Learning
  • Assessment of Conflict Resolution Strategies Within an Online Learning Team
  • Compare and Contrast Online Learning vs Traditional Classroom Learning
  • Examining the Factors that Influence how Instructors Provide Feedback in Online Learning Environments
  • False Concepts Surrounding The Online Learning Environment
  • Generalized Feature Embedding for Supervised, Unsupervised, and Online Learning Tasks
  • Implementing Comprehensive Interventions to Support Student Success in Online Learning
  • Learning Management Systems (LMS) and Online Education
  • Managing Online Learning In Collabrative Group
  • Managing the Online Learning Revolution in an MBA course: Quality Assurance through Strategic Development
  • Online Education Is A Type Of Distance Learning
  • Online Learning : High School Students For College
  • Online Learning : Stochastic Approximation
  • Planning Strategies And Time Management Essential In Online Learning
  • Development of Online Technology and the Advantages of E-Learning
  • Effectiveness Of Online Learning
  • Reasons Why Older Students Have a Difficult Time Adjusting to Online Classes
  • How Does Online Classes Work
  • Why Online Learning Is Not Common Among Primary School Students
  • Reasons for Taking Online Classes
  • Online Classes Are More Flexible Than Conventional Education
  • Online Classes Are Less Effective Than Regular Classroom Classes
  • The Four Coursera Online Classes
  • The Pros and Cons of Online Classes
  • The Advocacy for Online Classes According to Todd Gilman
  • Online Classes And Face With Face Classes
  • Are Online Classes Beneficial To Students
  • The Benefits and Drawbacks of Traditional and Online Classes
  • Online Classes Are Becoming A Trend For College Campuses
  • Online Classes Should Not Reduce Students’ Options And Opportunities
  • Why Are More Students Taking Online Classes
  • Online Classes vs. Traditional Classroom Learning
  • The Demand For Online Classes
  • Online Courses and the Impact of Weaker Interpersonal Connections in Online Classes
  • The Similarities between Online Classes and Traditional Classes
  • Comparision Between Traditional Classes and Online Classes
  • Online Classes Are Becoming More And More Relevant Now
  • Online Classes and Oral Presentation Challenges
  • The Primary Difference Between Classroom And Online Classes
  • What Is the Newest Innovation in Online Learning?
  • What Are Some Good Websites for Online Learning?
  • Will Online Learning Will Replace Face to Face Teaching?
  • Do Students Appreciate Online Learning?
  • What Are the Benefits and Drawbacks of Online Learning?
  • Which Is the Best Online Learning Platform?
  • Which Machine Learning Algorithms for Classification Support Online Learning?
  • How Much Does It Cost to Set up an Online Learning Management System?
  • How Is Online Learning More Convenient Over the Traditional Classroom?
  • Is Online Learning Becoming More Interactive With the Passage of Time?
  • What Is the Relation Between Reinforcement Learning and Online Learning?
  • What Are the Issues Related to Online Learning and Teaching?
  • Why Do Students Struggle With Online Learning?
  • What Problems and Issues Are Seen in Online Learning Communities?
  • What Are the Disadvantages of Online Learning?
  • What Opportunities Does Online Learning Give?
  • What Are the Benefits and Challenges of Online Learning?
  • What Is the Difference Between Distance Learning and Online Learning?
  • Where Do Online Learning Sites Keep Videos?
  • Why Do Many People Find Online Learning Really Hard?
  • Is It Possible to Do Online Learning With LSTM?
  • Why Do Online Learning Sites Use So Much Handwriting?
  • How Effective Is Online Learning in Higher Education?
  • Is SMC University a Credible Online Learning Institution?
  • What Is Online Learning and Its Types?
  • Chicago (N-B)
  • Chicago (A-D)

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91 Online Learning Essay Topics

🏆 best essay topics on online learning, 🎓 most interesting online learning research titles, 💡 simple online learning essay ideas, ❓ research questions for online learning.

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75 Online Education Research Topics & Essay Examples

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Impact of online classes on the satisfaction and performance of students during the pandemic period of COVID 19

Education and Information Technologies volume  26 ,  pages 6923–6947 ( 2021 ) Cite this article

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The aim of the study is to identify the factors affecting students’ satisfaction and performance regarding online classes during the pandemic period of COVID–19 and to establish the relationship between these variables. The study is quantitative in nature, and the data were collected from 544 respondents through online survey who were studying the business management (B.B.A or M.B.A) or hotel management courses in Indian universities. Structural equation modeling was used to analyze the proposed hypotheses. The results show that four independent factors used in the study viz. quality of instructor, course design, prompt feedback, and expectation of students positively impact students’ satisfaction and further student’s satisfaction positively impact students’ performance. For educational management, these four factors are essential to have a high level of satisfaction and performance for online courses. This study is being conducted during the epidemic period of COVID- 19 to check the effect of online teaching on students’ performance.

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1 Introduction

Coronavirus is a group of viruses that is the main root of diseases like cough, cold, sneezing, fever, and some respiratory symptoms (WHO, 2019 ). Coronavirus is a contagious disease, which is spreading very fast amongst the human beings. COVID-19 is a new sprain which was originated in Wuhan, China, in December 2019. Coronavirus circulates in animals, but some of these viruses can transmit between animals and humans (Perlman & Mclntosh, 2020 ). As of March 282,020, according to the MoHFW, a total of 909 confirmed COVID-19 cases (862 Indians and 47 foreign nationals) had been reported in India (Centers for Disease Control and Prevention, 2020 ). Officially, no vaccine or medicine is evaluated to cure the spread of COVID-19 (Yu et al., 2020 ). The influence of the COVID-19 pandemic on the education system leads to schools and colleges’ widespread closures worldwide. On March 24, India declared a country-wide lockdown of schools and colleges (NDTV, 2020 ) for preventing the transmission of the coronavirus amongst the students (Bayham & Fenichel, 2020 ). School closures in response to the COVID-19 pandemic have shed light on several issues affecting access to education. COVID-19 is soaring due to which the huge number of children, adults, and youths cannot attend schools and colleges (UNESCO, 2020 ). Lah and Botelho ( 2012 ) contended that the effect of school closing on students’ performance is hazy.

Similarly, school closing may also affect students because of disruption of teacher and students’ networks, leading to poor performance. Bridge ( 2020 ) reported that schools and colleges are moving towards educational technologies for student learning to avoid a strain during the pandemic season. Hence, the present study’s objective is to develop and test a conceptual model of student’s satisfaction pertaining to online teaching during COVID-19, where both students and teachers have no other option than to use the online platform uninterrupted learning and teaching.

UNESCO recommends distance learning programs and open educational applications during school closure caused by COVID-19 so that schools and teachers use to teach their pupils and bound the interruption of education. Therefore, many institutes go for the online classes (Shehzadi et al., 2020 ).

As a versatile platform for learning and teaching processes, the E-learning framework has been increasingly used (Salloum & Shaalan, 2018 ). E-learning is defined as a new paradigm of online learning based on information technology (Moore et al., 2011 ). In contrast to traditional learning academics, educators, and other practitioners are eager to know how e-learning can produce better outcomes and academic achievements. Only by analyzing student satisfaction and their performance can the answer be sought.

Many comparative studies have been carried out to prove the point to explore whether face-to-face or traditional teaching methods are more productive or whether online or hybrid learning is better (Lockman & Schirmer, 2020 ; Pei & Wu, 2019 ; González-Gómez et al., 2016 ; González-Gómez et al., 2016 ). Results of the studies show that the students perform much better in online learning than in traditional learning. Henriksen et al. ( 2020 ) highlighted the problems faced by educators while shifting from offline to online mode of teaching. In the past, several research studies had been carried out on online learning to explore student satisfaction, acceptance of e-learning, distance learning success factors, and learning efficiency (Sher, 2009 ; Lee, 2014 ; Yen et al., 2018 ). However, scant amount of literature is available on the factors that affect the students’ satisfaction and performance in online classes during the pandemic of Covid-19 (Rajabalee & Santally, 2020 ). In the present study, the authors proposed that course design, quality of the instructor, prompt feedback, and students’ expectations are the four prominent determinants of learning outcome and satisfaction of the students during online classes (Lee, 2014 ).

The Course Design refers to curriculum knowledge, program organization, instructional goals, and course structure (Wright, 2003 ). If well planned, course design increasing the satisfaction of pupils with the system (Almaiah & Alyoussef, 2019 ). Mtebe and Raisamo ( 2014 ) proposed that effective course design will help in improving the performance through learners knowledge and skills (Khan & Yildiz, 2020 ; Mohammed et al., 2020 ). However, if the course is not designed effectively then it might lead to low usage of e-learning platforms by the teachers and students (Almaiah & Almulhem, 2018 ). On the other hand, if the course is designed effectively then it will lead to higher acceptance of e-learning system by the students and their performance also increases (Mtebe & Raisamo, 2014 ). Hence, to prepare these courses for online learning, many instructors who are teaching blended courses for the first time are likely to require a complete overhaul of their courses (Bersin, 2004 ; Ho et al., 2006 ).

The second-factor, Instructor Quality, plays an essential role in affecting the students’ satisfaction in online classes. Instructor quality refers to a professional who understands the students’ educational needs, has unique teaching skills, and understands how to meet the students’ learning needs (Luekens et al., 2004 ). Marsh ( 1987 ) developed five instruments for measuring the instructor’s quality, in which the main method was Students’ Evaluation of Educational Quality (SEEQ), which delineated the instructor’s quality. SEEQ is considered one of the methods most commonly used and embraced unanimously (Grammatikopoulos et al., 2014 ). SEEQ was a very useful method of feedback by students to measure the instructor’s quality (Marsh, 1987 ).

The third factor that improves the student’s satisfaction level is prompt feedback (Kinicki et al., 2004 ). Feedback is defined as information given by lecturers and tutors about the performance of students. Within this context, feedback is a “consequence of performance” (Hattie & Timperley, 2007 , p. 81). In education, “prompt feedback can be described as knowing what you know and what you do not related to learning” (Simsek et al., 2017 , p.334). Christensen ( 2014 ) studied linking feedback to performance and introduced the positivity ratio concept, which is a mechanism that plays an important role in finding out the performance through feedback. It has been found that prompt feedback helps in developing a strong linkage between faculty and students which ultimately leads to better learning outcomes (Simsek et al., 2017 ; Chang, 2011 ).

The fourth factor is students’ expectation . Appleton-Knapp and Krentler ( 2006 ) measured the impact of student’s expectations on their performance. They pin pointed that the student expectation is important. When the expectations of the students are achieved then it lead to the higher satisfaction level of the student (Bates & Kaye, 2014 ). These findings were backed by previous research model “Student Satisfaction Index Model” (Zhang et al., 2008 ). However, when the expectations are students is not fulfilled then it might lead to lower leaning and satisfaction with the course. Student satisfaction is defined as students’ ability to compare the desired benefit with the observed effect of a particular product or service (Budur et al., 2019 ). Students’ whose grade expectation is high will show high satisfaction instead of those facing lower grade expectations.

The scrutiny of the literature show that although different researchers have examined the factors affecting student satisfaction but none of the study has examined the effect of course design, quality of the instructor, prompt feedback, and students’ expectations on students’ satisfaction with online classes during the pandemic period of Covid-19. Therefore, this study tries to explore the factors that affect students’ satisfaction and performance regarding online classes during the pandemic period of COVID–19. As the pandemic compelled educational institutions to move online with which they were not acquainted, including teachers and learners. The students were not mentally prepared for such a shift. Therefore, this research will be examined to understand what factors affect students and how students perceived these changes which are reflected through their satisfaction level.

This paper is structured as follows: The second section provides a description of theoretical framework and the linkage among different research variables and accordingly different research hypotheses were framed. The third section deals with the research methodology of the paper as per APA guideline. The outcomes and corresponding results of the empirical analysis are then discussed. Lastly, the paper concludes with a discussion and proposes implications for future studies.

2 Theoretical framework

Achievement goal theory (AGT) is commonly used to understand the student’s performance, and it is proposed by four scholars Carole Ames, Carol Dweck, Martin Maehr, and John Nicholls in the late 1970s (Elliot, 2005 ). Elliott & Dweck ( 1988 , p11) define that “an achievement goal involves a program of cognitive processes that have cognitive, affective and behavioral consequence”. This theory suggests that students’ motivation and achievement-related behaviors can be easily understood by the purpose and the reasons they adopted while they are engaged in the learning activities (Dweck & Leggett, 1988 ; Ames, 1992 ; Urdan, 1997 ). Some of the studies believe that there are four approaches to achieve a goal, i.e., mastery-approach, mastery avoidance, performance approach, and performance-avoidance (Pintrich, 1999 ; Elliot & McGregor, 2001 ; Schwinger & Stiensmeier-Pelster, 2011 , Hansen & Ringdal, 2018 ; Mouratidis et al., 2018 ). The environment also affects the performance of students (Ames & Archer, 1988 ). Traditionally, classroom teaching is an effective method to achieve the goal (Ames & Archer, 1988 ; Ames, 1992 ; Clayton et al., 2010 ) however in the modern era, the internet-based teaching is also one of the effective tools to deliver lectures, and web-based applications are becoming modern classrooms (Azlan et al., 2020 ). Hence, following section discuss about the relationship between different independent variables and dependent variables (Fig. 1 ).

figure 1

Proposed Model

3 Hypotheses development

3.1 quality of the instructor and satisfaction of the students.

Quality of instructor with high fanaticism on student’s learning has a positive impact on their satisfaction. Quality of instructor is one of the most critical measures for student satisfaction, leading to the education process’s outcome (Munteanu et al., 2010 ; Arambewela & Hall, 2009 ; Ramsden, 1991 ). Suppose the teacher delivers the course effectively and influence the students to do better in their studies. In that case, this process leads to student satisfaction and enhances the learning process (Ladyshewsky, 2013 ). Furthermore, understanding the need of learner by the instructor also ensures student satisfaction (Kauffman, 2015 ). Hence the hypothesis that the quality of instructor significantly affects the satisfaction of the students was included in this study.

H1: The quality of the instructor positively affects the satisfaction of the students.

3.2 Course design and satisfaction of students

The course’s technological design is highly persuading the students’ learning and satisfaction through their course expectations (Liaw, 2008 ; Lin et al., 2008 ). Active course design indicates the students’ effective outcomes compared to the traditional design (Black & Kassaye, 2014 ). Learning style is essential for effective course design (Wooldridge, 1995 ). While creating an online course design, it is essential to keep in mind that we generate an experience for students with different learning styles. Similarly, (Jenkins, 2015 ) highlighted that the course design attributes could be developed and employed to enhance student success. Hence the hypothesis that the course design significantly affects students’ satisfaction was included in this study.

H2: Course design positively affects the satisfaction of students.

3.3 Prompt feedback and satisfaction of students

The emphasis in this study is to understand the influence of prompt feedback on satisfaction. Feedback gives the information about the students’ effective performance (Chang, 2011 ; Grebennikov & Shah, 2013 ; Simsek et al., 2017 ). Prompt feedback enhances student learning experience (Brownlee et al., 2009 ) and boosts satisfaction (O'donovan, 2017 ). Prompt feedback is the self-evaluation tool for the students (Rogers, 1992 ) by which they can improve their performance. Eraut ( 2006 ) highlighted the impact of feedback on future practice and student learning development. Good feedback practice is beneficial for student learning and teachers to improve students’ learning experience (Yorke, 2003 ). Hence the hypothesis that prompt feedback significantly affects satisfaction was included in this study.

H3: Prompt feedback of the students positively affects the satisfaction.

3.4 Expectations and satisfaction of students

Expectation is a crucial factor that directly influences the satisfaction of the student. Expectation Disconfirmation Theory (EDT) (Oliver, 1980 ) was utilized to determine the level of satisfaction based on their expectations (Schwarz & Zhu, 2015 ). Student’s expectation is the best way to improve their satisfaction (Brown et al., 2014 ). It is possible to recognize student expectations to progress satisfaction level (ICSB, 2015 ). Finally, the positive approach used in many online learning classes has been shown to place a high expectation on learners (Gold, 2011 ) and has led to successful outcomes. Hence the hypothesis that expectations of the student significantly affect the satisfaction was included in this study.

H4: Expectations of the students positively affects the satisfaction.

3.5 Satisfaction and performance of the students

Zeithaml ( 1988 ) describes that satisfaction is the outcome result of the performance of any educational institute. According to Kotler and Clarke ( 1986 ), satisfaction is the desired outcome of any aim that amuses any individual’s admiration. Quality interactions between instructor and students lead to student satisfaction (Malik et al., 2010 ; Martínez-Argüelles et al., 2016 ). Teaching quality and course material enhances the student satisfaction by successful outcomes (Sanderson, 1995 ). Satisfaction relates to the student performance in terms of motivation, learning, assurance, and retention (Biner et al., 1996 ). Mensink and King ( 2020 ) described that performance is the conclusion of student-teacher efforts, and it shows the interest of students in the studies. The critical element in education is students’ academic performance (Rono, 2013 ). Therefore, it is considered as center pole, and the entire education system rotates around the student’s performance. Narad and Abdullah ( 2016 ) concluded that the students’ academic performance determines academic institutions’ success and failure.

Singh et al. ( 2016 ) asserted that the student academic performance directly influences the country’s socio-economic development. Farooq et al. ( 2011 ) highlights the students’ academic performance is the primary concern of all faculties. Additionally, the main foundation of knowledge gaining and improvement of skills is student’s academic performance. According to Narad and Abdullah ( 2016 ), regular evaluation or examinations is essential over a specific period of time in assessing students’ academic performance for better outcomes. Hence the hypothesis that satisfaction significantly affects the performance of the students was included in this study.

H5: Students’ satisfaction positively affects the performance of the students.

3.6 Satisfaction as mediator

Sibanda et al. ( 2015 ) applied the goal theory to examine the factors persuading students’ academic performance that enlightens students’ significance connected to their satisfaction and academic achievement. According to this theory, students perform well if they know about factors that impact on their performance. Regarding the above variables, institutional factors that influence student satisfaction through performance include course design and quality of the instructor (DeBourgh, 2003 ; Lado et al., 2003 ), prompt feedback, and expectation (Fredericksen et al., 2000 ). Hence the hypothesis that quality of the instructor, course design, prompts feedback, and student expectations significantly affect the students’ performance through satisfaction was included in this study.

H6: Quality of the instructor, course design, prompt feedback, and student’ expectations affect the students’ performance through satisfaction.

H6a: Students’ satisfaction mediates the relationship between quality of the instructor and student’s performance.

H6b: Students’ satisfaction mediates the relationship between course design and student’s performance.

H6c: Students’ satisfaction mediates the relationship between prompt feedback and student’s performance.

H6d: Students’ satisfaction mediates the relationship between student’ expectations and student’s performance.

4.1 Participants

In this cross-sectional study, the data were collected from 544 respondents who were studying the management (B.B.A or M.B.A) and hotel management courses. The purposive sampling technique was used to collect the data. Descriptive statistics shows that 48.35% of the respondents were either MBA or BBA and rests of the respondents were hotel management students. The percentages of male students were (71%) and female students were (29%). The percentage of male students is almost double in comparison to females. The ages of the students varied from 18 to 35. The dominant group was those aged from 18 to 22, and which was the under graduation student group and their ratio was (94%), and another set of students were from the post-graduation course, which was (6%) only.

4.2 Materials

The research instrument consists of two sections. The first section is related to demographical variables such as discipline, gender, age group, and education level (under-graduate or post-graduate). The second section measures the six factors viz. instructor’s quality, course design, prompt feedback, student expectations, satisfaction, and performance. These attributes were taken from previous studies (Yin & Wang, 2015 ; Bangert, 2004 ; Chickering & Gamson, 1987 ; Wilson et al., 1997 ). The “instructor quality” was measured through the scale developed by Bangert ( 2004 ). The scale consists of seven items. The “course design” and “prompt feedback” items were adapted from the research work of Bangert ( 2004 ). The “course design” scale consists of six items. The “prompt feedback” scale consists of five items. The “students’ expectation” scale consists of five items. Four items were adapted from Bangert, 2004 and one item was taken from Wilson et al. ( 1997 ). Students’ satisfaction was measure with six items taken from Bangert ( 2004 ); Wilson et al. ( 1997 ); Yin and Wang ( 2015 ). The “students’ performance” was measured through the scale developed by Wilson et al. ( 1997 ). The scale consists of six items. These variables were accessed on a five-point likert scale, ranging from 1(strongly disagree) to 5(strongly agree). Only the students from India have taken part in the survey. A total of thirty-four questions were asked in the study to check the effect of the first four variables on students’ satisfaction and performance. For full details of the questionnaire, kindly refer Appendix Tables 6 .

The study used a descriptive research design. The factors “instructor quality, course design, prompt feedback and students’ expectation” were independent variables. The students’ satisfaction was mediator and students’ performance was the dependent variable in the current study.

4.4 Procedure

In this cross-sectional research the respondents were selected through judgment sampling. They were informed about the objective of the study and information gathering process. They were assured about the confidentiality of the data and no incentive was given to then for participating in this study. The information utilizes for this study was gathered through an online survey. The questionnaire was built through Google forms, and then it was circulated through the mails. Students’ were also asked to write the name of their college, and fifteen colleges across India have taken part to fill the data. The data were collected in the pandemic period of COVID-19 during the total lockdown in India. This was the best time to collect the data related to the current research topic because all the colleges across India were involved in online classes. Therefore, students have enough time to understand the instrument and respondent to the questionnaire in an effective manner. A total of 615 questionnaires were circulated, out of which the students returned 574. Thirty responses were not included due to the unengaged responses. Finally, 544 questionnaires were utilized in the present investigation. Male and female students both have taken part to fill the survey, different age groups, and various courses, i.e., under graduation and post-graduation students of management and hotel management students were the part of the sample.

5.1 Exploratory factor analysis (EFA)

To analyze the data, SPSS and AMOS software were used. First, to extract the distinct factors, an exploratory factor analysis (EFA) was performed using VARIMAX rotation on a sample of 544. Results of the exploratory analysis rendered six distinct factors. Factor one was named as the quality of instructor, and some of the items were “The instructor communicated effectively”, “The instructor was enthusiastic about online teaching” and “The instructor was concerned about student learning” etc. Factor two was labeled as course design, and the items were “The course was well organized”, “The course was designed to allow assignments to be completed across different learning environments.” and “The instructor facilitated the course effectively” etc. Factor three was labeled as prompt feedback of students, and some of the items were “The instructor responded promptly to my questions about the use of Webinar”, “The instructor responded promptly to my questions about general course requirements” etc. The fourth factor was Student’s Expectations, and the items were “The instructor provided models that clearly communicated expectations for weekly group assignments”, “The instructor used good examples to explain statistical concepts” etc. The fifth factor was students’ satisfaction, and the items were “The online classes were valuable”, “Overall, I am satisfied with the quality of this course” etc. The sixth factor was performance of the student, and the items were “The online classes has sharpened my analytic skills”, “Online classes really tries to get the best out of all its students” etc. These six factors explained 67.784% of the total variance. To validate the factors extracted through EFA, the researcher performed confirmatory factor analysis (CFA) through AMOS. Finally, structural equation modeling (SEM) was used to test the hypothesized relationships.

5.2 Measurement model

The results of Table 1 summarize the findings of EFA and CFA. Results of the table showed that EFA renders six distinct factors, and CFA validated these factors. Table 2 shows that the proposed measurement model achieved good convergent validity (Aggarwal et al., 2018a , b ). Results of the confirmatory factor analysis showed that the values of standardized factor loadings were statistically significant at the 0.05 level. Further, the results of the measurement model also showed acceptable model fit indices such that CMIN = 710.709; df = 480; CMIN/df = 1.481 p  < .000; Incremental Fit Index (IFI) = 0.979; Tucker-Lewis Index (TLI) = 0.976; Goodness of Fit index (GFI) = 0.928; Adjusted Goodness of Fit Index (AGFI) = 0.916; Comparative Fit Index (CFI) = 0.978; Root Mean Square Residual (RMR) = 0.042; Root Mean Squared Error of Approximation (RMSEA) = 0.030 is satisfactory.

The Average Variance Explained (AVE) according to the acceptable index should be higher than the value of squared correlations between the latent variables and all other variables. The discriminant validity is confirmed (Table 2 ) as the value of AVE’s square root is greater than the inter-construct correlations coefficient (Hair et al., 2006 ). Additionally, the discriminant validity existed when there was a low correlation between each variable measurement indicator with all other variables except with the one with which it must be theoretically associated (Aggarwal et al., 2018a , b ; Aggarwal et al., 2020 ). The results of Table 2 show that the measurement model achieved good discriminate validity.

5.3 Structural model

To test the proposed hypothesis, the researcher used the structural equation modeling technique. This is a multivariate statistical analysis technique, and it includes the amalgamation of factor analysis and multiple regression analysis. It is used to analyze the structural relationship between measured variables and latent constructs.

Table  3 represents the structural model’s model fitness indices where all variables put together when CMIN/DF is 2.479, and all the model fit values are within the particular range. That means the model has attained a good model fit. Furthermore, other fit indices as GFI = .982 and AGFI = 0.956 be all so supportive (Schumacker & Lomax, 1996 ; Marsh & Grayson, 1995 ; Kline, 2005 ).

Hence, the model fitted the data successfully. All co-variances among the variables and regression weights were statistically significant ( p  < 0.001).

Table 4 represents the relationship between exogenous, mediator and endogenous variables viz—quality of instructor, prompt feedback, course design, students’ expectation, students’ satisfaction and students’ performance. The first four factors have a positive relationship with satisfaction, which further leads to students’ performance positively. Results show that the instructor’s quality has a positive relationship with the satisfaction of students for online classes (SE = 0.706, t-value = 24.196; p  < 0.05). Hence, H1 was supported. The second factor is course design, which has a positive relationship with students’ satisfaction of students (SE = 0.064, t-value = 2.395; p < 0.05). Hence, H2 was supported. The third factor is Prompt feedback, and results show that feedback has a positive relationship with the satisfaction of the students (SE = 0.067, t-value = 2.520; p < 0.05). Hence, H3 was supported. The fourth factor is students’ expectations. The results show a positive relationship between students’ expectation and students’ satisfaction with online classes (SE = 0.149, t-value = 5.127; p < 0.05). Hence, H4 was supported. The results of SEM show that out of quality of instructor, prompt feedback, course design, and students’ expectation, the most influencing factor that affect the students’ satisfaction was instructor’s quality (SE = 0.706) followed by students’ expectation (SE =5.127), prompt feedback (SE = 2.520). The factor that least affects the students’ satisfaction was course design (2.395). The results of Table 4 finally depicts that students’ satisfaction has positive effect on students’ performance ((SE = 0.186, t-value = 2.800; p < 0.05). Hence H5 was supported.

Table 5 shows that students’ satisfaction partially mediates the positive relationship between the instructor’s quality and student performance. Hence, H6(a) was supported. Further, the mediation analysis results showed that satisfaction again partially mediates the positive relationship between course design and student’s performance. Hence, H6(b) was supported However, the mediation analysis results showed that satisfaction fully mediates the positive relationship between prompt feedback and student performance. Hence, H6(c) was supported. Finally, the results of the Table 5 showed that satisfaction partially mediates the positive relationship between expectations of the students and student’s performance. Hence, H6(d) was supported.

6 Discussion

In the present study, the authors evaluated the different factors directly linked with students’ satisfaction and performance with online classes during Covid-19. Due to the pandemic situation globally, all the colleges and universities were shifted to online mode by their respective governments. No one has the information that how long this pandemic will remain, and hence the teaching method was shifted to online mode. Even though some of the educators were not tech-savvy, they updated themselves to battle the unexpected circumstance (Pillai et al., 2021 ). The present study results will help the educators increase the student’s satisfaction and performance in online classes. The current research assists educators in understanding the different factors that are required for online teaching.

Comparing the current research with past studies, the past studies have examined the factors affecting the student’s satisfaction in the conventional schooling framework. However, the present study was conducted during India’s lockdown period to identify the prominent factors that derive the student’s satisfaction with online classes. The study also explored the direct linkage between student’s satisfaction and their performance. The present study’s findings indicated that instructor’s quality is the most prominent factor that affects the student’s satisfaction during online classes. This means that the instructor needs to be very efficient during the lectures. He needs to understand students’ psychology to deliver the course content prominently. If the teacher can deliver the course content properly, it affects the student’s satisfaction and performance. The teachers’ perspective is critical because their enthusiasm leads to a better online learning process quality.

The present study highlighted that the second most prominent factor affecting students’ satisfaction during online classes is the student’s expectations. Students might have some expectations during the classes. If the instructor understands that expectation and customizes his/her course design following the student’s expectations, then it is expected that the students will perform better in the examinations. The third factor that affects the student’s satisfaction is feedback. After delivering the course, appropriate feedback should be taken by the instructors to plan future courses. It also helps to make the future strategies (Tawafak et al., 2019 ). There must be a proper feedback system for improvement because feedback is the course content’s real image. The last factor that affects the student’s satisfaction is design. The course content needs to be designed in an effective manner so that students should easily understand it. If the instructor plans the course, so the students understand the content without any problems it effectively leads to satisfaction, and the student can perform better in the exams. In some situations, the course content is difficult to deliver in online teaching like the practical part i.e. recipes of dishes or practical demonstration in the lab. In such a situation, the instructor needs to be more creative in designing and delivering the course content so that it positively impacts the students’ overall satisfaction with online classes.

Overall, the students agreed that online teaching was valuable for them even though the online mode of classes was the first experience during the pandemic period of Covid-19 (Agarwal & Kaushik, 2020 ; Rajabalee & Santally, 2020 ). Some of the previous studies suggest that the technology-supported courses have a positive relationship with students’ performance (Cho & Schelzer, 2000 ; Harasim, 2000 ; Sigala, 2002 ). On the other hand, the demographic characteristic also plays a vital role in understanding the online course performance. According to APA Work Group of the Board of Educational Affairs ( 1997 ), the learner-centered principles suggest that students must be willing to invest the time required to complete individual course assignments. Online instructors must be enthusiastic about developing genuine instructional resources that actively connect learners and encourage them toward proficient performances. For better performance in studies, both teachers and students have equal responsibility. When the learner faces any problem to understand the concepts, he needs to make inquiries for the instructor’s solutions (Bangert, 2004 ). Thus, we can conclude that “instructor quality, student’s expectation, prompt feedback, and effective course design” significantly impact students’ online learning process.

7 Implications of the study

The results of this study have numerous significant practical implications for educators, students and researchers. It also contributes to the literature by demonstrating that multiple factors are responsible for student satisfaction and performance in the context of online classes during the period of the COVID-19 pandemic. This study was different from the previous studies (Baber, 2020 ; Ikhsan et al., 2019 ; Eom & Ashill, 2016 ). None of the studies had examined the effect of students’ satisfaction on their perceived academic performance. The previous empirical findings have highlighted the importance of examining the factors affecting student satisfaction (Maqableh & Jaradat, 2021 ; Yunusa & Umar, 2021 ). Still, none of the studies has examined the effect of course design, quality of instructor, prompt feedback, and students’ expectations on students’ satisfaction all together with online classes during the pandemic period. The present study tries to fill this research gap.

The first essential contribution of this study was the instructor’s facilitating role, and the competence he/she possesses affects the level of satisfaction of the students (Gray & DiLoreto, 2016 ). There was an extra obligation for instructors who taught online courses during the pandemic. They would have to adapt to a changing climate, polish their technical skills throughout the process, and foster new students’ technical knowledge in this environment. The present study’s findings indicate that instructor quality is a significant determinant of student satisfaction during online classes amid a pandemic. In higher education, the teacher’s standard referred to the instructor’s specific individual characteristics before entering the class (Darling-Hammond, 2010 ). These attributes include factors such as instructor content knowledge, pedagogical knowledge, inclination, and experience. More significantly, at that level, the amount of understanding could be given by those who have a significant amount of technical expertise in the areas they are teaching (Martin, 2021 ). Secondly, the present study results contribute to the profession of education by illustrating a realistic approach that can be used to recognize students’ expectations in their class effectively. The primary expectation of most students before joining a university is employment. Instructors have agreed that they should do more to fulfill students’ employment expectations (Gorgodze et al., 2020 ). The instructor can then use that to balance expectations to improve student satisfaction. Study results can be used to continually improve and build courses, as well as to make policy decisions to improve education programs. Thirdly, from result outcomes, online course design and instructors will delve deeper into how to structure online courses more efficiently, including design features that minimize adversely and maximize optimistic emotion, contributing to greater student satisfaction (Martin et al., 2018 ). The findings suggest that the course design has a substantial positive influence on the online class’s student performance. The findings indicate that the course design of online classes need to provide essential details like course content, educational goals, course structure, and course output in a consistent manner so that students would find the e-learning system beneficial for them; this situation will enable students to use the system and that leads to student performance (Almaiah & Alyoussef, 2019 ). Lastly, the results indicate that instructors respond to questions promptly and provide timely feedback on assignments to facilitate techniques that help students in online courses improve instructor participation, instructor interaction, understanding, and participation (Martin et al., 2018 ). Feedback can be beneficial for students to focus on the performance that enhances their learning.

8 Limitations and future scope of the study

The data collected in this study was cross-sectional in nature due to which it is difficult to establish the causal relationship between the variables. The future research can use a longitudinal study to handle this limitation. Further, the data was collected from one type of respondents only, that is, the students. Therefore, the results of the study cannot be generalized to other samples. The future research can also include the perspectives of teachers and policy makers to have more generalization of the results. The current research is only limited to theory classes; therefore, it can be implemented to check students’ performance in practical classes. The study is done on the Indian students only; thus, if the data is collected from various countries, it can give better comparative results to understand the student’s perspective. This study is limited to check the performance of students, so in the future, the performance of teachers can be checked with similar kinds of conditions. There may be some issues and problems faced by the students, like the limited access to the internet or disturbance due to low signals. Some of the students may face the home environment issues such as disturbance due to family members, which may lead to negative performance. The above-mentioned points can be inculcated in the future research.

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Gopal, R., Singh, V. & Aggarwal, A. Impact of online classes on the satisfaction and performance of students during the pandemic period of COVID 19. Educ Inf Technol 26 , 6923–6947 (2021). https://doi.org/10.1007/s10639-021-10523-1

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