International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056
Volume: 11 Issue: 09 | Sep 2024 www.irjet.net p-ISSN:2395-0072
Assessing the Impact of Online Education in Higher Learning Environments
Dr. Yogendra Deora
S B P Government College,
Dungarpur-(Rajasthan), INDIA
Abstract- Online learning has seen a dramatic rise in popularity and adoption over the past few decades, becoming a crucial tool for supplementing traditional faceto-face education. This shift was significantly accelerated by the COVID-19 pandemic, which forced educational institutions worldwide to pivot to online platforms due to necessary containment measures. The pandemic's disruption highlighted the need for flexible, digital learning solutions to ensure the continuity of education. As a result, institutions have increasingly relied on online classes to deliver curriculum content and keep students engaged. This paper utilizes a survey to evaluate the perceptions of Indian higher education students regarding the effectiveness of online learning across several key attributes. The survey aims to uncover students' views on critical success factors and challenges associated with online education. By examining these aspects, theresearch seeks to identify areas for improvement and potential opportunities for further investigation. The insights gained from this study will contribute to understanding the effectiveness of online learning and inform strategies for enhancing digital education, ensuring that it meets students' needs and expectationsintheevolvingeducational landscape.
Keywords: Onlinelearning, Higher EducationalInstitutions, Mobile Devices, Communication Platforms, Educational Flexibility
1. INTRODUCTION
E-learning has experienced remarkable growth over the pastfewdecades,transformingthelandscapeofeducation by leveraging the Internet and related technologies to deliver knowledge across the globe. This technological advancement has effectively eliminated traditional barriers to education, making learning materials accessible to a diverse audience irrespective of geographical location. The success of online learning hinges on several critical factors, including device accessibility, software and hardware compatibility, and reliable internet connectivity and speed [1]. These elements are essential for creating an effective and engagingonlinelearningenvironment.
As online learning continues to captivate the interest of students, educators, and researchers, there is a growing body of research focused on optimizing its effectiveness. The evolution toward blended learning models combining online and traditional methods reflects a broadertrendofseekingtoenhanceeducationaloutcomes by integrating the best aspects of both worlds. This
approach is particularly significant in higher education, where the demand for flexible and effective learning solutionsishigh[2]
Scholars have explored various teaching methodologies, including traditional lectures, online courses, and hybrid models, to determine their relative effectiveness. Key metrics for evaluating these methods include the achievementofcourseobjectives,studentsatisfaction,and completion rates. However, the effectiveness of any given approach is also influenced by additional factors such as the role of the instructor and the dynamics of online communities. These aspects can significantly impact the overalllearningexperienceandoutcomes.
Overthepastcoupleofdecades,theproliferationofonline course providers, such as Udemy, Coursera, and edX, has further underscored the importance of assessing online learning efficacy. These platforms offer a wide range of high-quality educational materials, contributing to the growing popularity and acceptance of e-learning. In this context, evaluating the effectiveness of online learning is crucial for ensuring that these digital platforms and methods meet educational goals and provide value to learners[3].
The current research study aims to assess the effectiveness of online learning by examining various factors that influence its success. By analyzing these elements, the study seeks to provide insights into optimizing online education, enhancing student engagement, and improving learning outcomes. This evaluationisessentialforadvancingthefieldofe-learning and ensuring that it continues to serve as a valuable and effectiveeducationaltool.
2. REVIEW OF LITERATURE
Online learning is a transformative form of education enabled by technology that allows individuals to access educational materials regardless of their location or time constraints [4]. As a modern iteration of distance education,ithasrevolutionizedtheeducationallandscape byprovidinghigh-qualityresourcesatminimalcosts,thus facilitating the achievement of academic and professional goals. This shift has democratized access to education, making it feasible for learners to pursue their studies without being bound by traditional geographic and temporallimitations[5]
International Research Journal of Engineering and Technology (IRJET)
Volume: 11 Issue: 09 | Sep 2024 www.irjet.net
The appeal of online learning is largely attributed to its accessibility and the convenience of 24/7 availability, which has attracted significant interest from colleges and universities globally [6]. These institutions have increasingly integrated online courses to supplement conventional face-to-face interactions, aiming to enhance the overall learning experience for students [7]. The increased reliance on Information and Communication Technology (ICT) tools in education reflects this trend, demonstrating a commitment to leveraging technology to maximizestudentbenefits.
However,onlinelearningisnotwithoutitschallenges.One notable disadvantage is the high potential for distraction duringonlinelecturesorwhileaccessingonlineresources. To mitigate this, educators must strive to make their lessonsengagingandinteractivetomaintainstudentfocus [8]. Additionally, the effectiveness of online learning is hamperedbyissuessuchaspoorinternetaccessibilityand slow speeds, particularly in rural areas of developing countries. These barriers can significantly affect the qualityofthelearningexperience[9]
Moreover, online learning can lead to a sense of isolation due to the lack of face-to-face interaction, which can impact student motivation and engagement [10]. Health risks associated with prolonged use of digital devices and other similar concerns further compound these issues. Traditional face-to-face learning, with its direct instructor presence, offers advantages such as reduced distractions, immediateclarificationofdoubts,highercompletionrates, and opportunities for peer discussion, highlighting the enduringvalueofconventionaleducationalmethods[11]
In sum, while online learning has greatly expanded educational opportunities and convenience, it also presents challenges that need to be addressed to fully realize it’s potential. Balancing the benefits of technological advancements with the need for personal interactionandeffectivelearningenvironmentsremainsa keyfocusforeducatorsandinstitutions.
3. RESEARCH GAP AND STUDY OBJECTIVES
A comprehensive review of existing literature reveals extensive research on various aspects of online learning, includingitsbenefitsandchallenges,outcomesofblended learning approaches, and comparisons with traditional learning methods. However, there is a notable lack of studies directly examining students' perceptions regarding the effectiveness of different instructional modes. Specifically, there is limited research on students' viewsaboutthecomparativeeffectivenessofonlineversus face-to-face components in blended learning models, as well asthefactorsthatcontributeto thesuccessofonline courses. Addressing this gap, the current study aims to explore and identify students' perceptions of online learning within higher education institutions, focusing on
several key parameters. The primary objective is to gain insights into how students evaluate the effectiveness of online learning and to understand the factors influencing theirexperiencesandoutcomes.
4. RESEARCH METHODOLOGY
This study employs a descriptive research design to examine students' perceptions and challenges related to online learning, which is widely implemented across educational institutions. The study focuses on students who regularly participate in online classes at colleges, universities, and other higher education institutions. A random sampling method was used to select participants for the research. Data analysis was conducted using SPSS, encompassing various aspects such as demographic information, learning preferences, and perceptions of online versus in-person interactions. To ensure the accuracy and relevance of the data collection, the questionnaire was developed based on a thorough literaturereview,aimedatminimizingresearcherbiasand capturing comprehensive insights into students' experienceswithonlinelearning.
5. RESULTS AND DISCUSSION
The following section presents the results of the study, which provides a comprehensive analysis of various aspects related to online learning as experienced by the respondents. The initial focus is on the demographic profileoftheparticipants,detailingtheireducationallevel, genderdistribution,andgeographiclocation.
Demographic profile of the respondents
Age, academic program (undergraduate and postgraduate), and locality (urban, or rural) were among the demographic factors in the questionnaire used to collect data from the respondents. The average age of the respondents was 24. The majority of the participants are undergraduates (69.3% of the total sample), making up overtwo-thirdsofthetotalsample.Thesamplecomprises about 60% of the male respondents. The urban participants slightly outnumber those from rural areas, withurbandwellersaccountingfor55.2%ofthesample.
Respondent’s indicators towards online learning
1. Respondent’s preferred mode of communication relatedto informationaboutclassesoranyupdates
Only 7% of respondents use the official institute website for communication or information access. The low percentage suggests that the official institute website is notaprimaryorpreferredsourceofinformationformost participants. It could indicate that the website may be underutilized, less accessible, or less engaging compared to other platforms. 11% of respondents rely on text messages for communication. Text messages appear to play a relatively minor role in information dissemination, possibly due to the widespread use of more modern and versatile communication tools, such as messaging apps. 18% of participants use e-mail for communication purposes. While e-mail remains relevant, it is not the dominant form of communication. This could reflect the preferenceforfaster,moredirectformsofcommunication like messaging apps, especially among younger or more tech-savvy populations. A significant 64% of respondents useWhatsAppforcommunication.WhatsAppisclearlythe most popular and dominant communication tool among respondents. Its high adoption rate could be due to its convenience, ease of use, real-time updates, and widespreadavailabilityonmobiledevices.Thepreference for WhatsApp highlights the trend towards instant messaging platforms that offer direct, group, and multimediacommunication.
2. Respondent’s preferred deviceforattendingonlineclasses
preferred, likely due to their lack of mobility. Overall, the data highlights the growing reliance on mobile devices, particularlysmartphones,foreducationalpurposes.
3.Internetavailabilityforonlineclasses
Smart phones are the most preferred (57%) device for attending online classes, used by the majority of respondents. This suggests that portability and accessibility are key factors influencing device choice. Tablets (19%) are the second most popular, indicating somepreferenceforlargerscreenswithoutcompromising mobility. Laptops (16%), traditionally associated with online learning, are less favored, possibly due to cost or convenience factors. Desktop PCs (8%) are the least
Mobile Data Pack is the dominant method of internet access (73%) for online classes, indicating that most respondentsrelyonmobilenetworksforconnectivity.WiFi (27%) is used by a smaller portion, suggesting either limited access to Wi-Fi infrastructure or a preference for mobiledata due toflexibility.Thehigh relianceonmobile data may point to affordability, widespread mobile coverage,orlack ofreliable fixedbroadbandservices. WiFi’s lower usage could reflect the urban-rural divide, where rural areas may have less access to broadband networks.Overall,thedataunderscoresthecriticalroleof mobiledatainsupportingonlineeducation.
4. Respondent’s preferredformatforonlineclasses Attribute
onlineclassesasperroutine
classesuploadedonthewebsite
Recorded classes uploaded on the website (56%) are the most preferred format, suggesting that flexibility and the abilitytoaccessmaterialsatanytimearehighlyvaluedby respondents.Liveonlineclasses(25%) arelesspreferred, indicating that structured, real-time learning is less favored, likely due to scheduling conflicts or unreliable internetconnections.RecordedclassesonYouTube(11%) areasmallerpreference,possiblyduetoeaseofaccessor familiarity with the platform. Study material via e-mail (8%) istheleastfavored, reflectinga preferenceformore interactive or multimedia learning formats. Overall, the data highlights a strong inclination toward recorded content, allowing students to engage with learning materialattheirownpace.
5. Respondent’s Viewsoncoursematerial
International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056
Volume: 11 Issue: 09 | Sep 2024 www.irjet.net p-ISSN:2395-0072
Video contents in addition to reading material (76%) are overwhelmingly preferred, indicating that respondents value a blended approach to learning that combines both visual and textual resources for a more comprehensive understanding. Only video contents (15%) show some preference, but most respondents still seek complementaryreadingmaterial,highlightingtheneedfor varied content formats. Only reading material (9%) is the least favored, suggesting that solely text-based resources are insufficient for most learners. The preference for mixed media reflects a desire for engaging, multimodal learning experiences. Overall, the data suggests that a combination of video and reading materials enhances learning, making it the most effective format for course contentdelivery.
6. Respondent’s Preferredfrequencyofonlineclasses
Threedaysaweek(46%)isthemostpreferredfrequency for online classes, indicating that respondents favor a balancedschedulethatallowsforregularlearningwithout daily commitment. Daily classes (31%) are also popular, suggesting that nearly one-third of respondents prefer more frequent engagement and continuous learning. Two days a week (18%) indicates a smaller preference for lighter schedules, likely for those seeking flexibility. Weekly classes (5%) are the least favored, reflecting that infrequent sessions may not provide enough engagement or continuity. Overall, the data shows a preference for moderate frequency, with most respondents valuing consistent but not overwhelming schedules for online learning.
7. Respondent’s preferreddurationperclass
The majority of respondents (76%) prefer class duration of45minutesto1hour,suggestingthatthistimeframeis viewed as optimal for maintaining focus and engagement without causing fatigue. A smaller portion (19%) favors shorter classes of 30-45 minutes, which may appeal to those who prefer concise, fast-paced sessions. Only 5% of respondents prefer classes lasting more than 1 hour, indicating that extended durations may lead to
diminishing returns in terms of attention and effectiveness.Overall,thedatareflectsastrongpreference for moderate-length classes that balance content depth with attention span, supporting an efficient yet engaging learningexperience.
8. Respondent’s preferred time duration per day for online classes
The data reveals that the majority of respondents (72%) prefer online classes to be conducted for 2-4 hours per day, indicating a strong inclination toward manageable and focused learning sessions that allow for sufficient engagement without overwhelming students. A smaller portion (28%) is open to 4-6 hours of online classes, suggesting that while some students can tolerate longer durations, they are still in the minority. Notably, no respondents prefer classes lasting more than 6 hours, highlighting that extended online learning sessions are likely seen as too demanding and counterproductive. Overall, the data reflects a preference for balanced and moderate dailyclassschedules,aligning with the need for sustainedconcentrationandretention.
9. Respondent’s preferred break duration between two classes
Themajorityofrespondents(77%)preferashortbreakof 5-10 minutes between two online classes, indicating a preferenceforminimalinterruptionsthatallowforaquick refresh without losing focus or momentum. A smaller group (14%) favors slightly longer breaks of 10-20 minutes,whichmayreflectaneedformoretimetorestor prepare for the next session. Only 9% prefer breaks of more than 20 minutes, suggesting that extended pauses between classes are generally not favored, as they might disrupt the learning flow. Overall, the data highlights a clear preference for brief, efficient breaks that maintain engagementandcontinuityinthelearningprocess.
6. CONCLUSION
Theoverallanalysisofrespondents'preferencesforonline learning reveals a strong inclination toward flexibility, efficiency, and convenience. WhatsApp (64%) is the most
International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056
Volume: 11 Issue: 09 | Sep 2024 www.irjet.net p-ISSN:2395-0072
popular communication platform, highlighting the shift toward instant messaging for updates. Most respondents (57%) prefer using smartphones for attending classes, underscoring the need for mobile-friendly platforms. Mobile data packs (73%) dominate internet access, indicating a reliance on mobile connectivity over Wi-Fi. Recorded classes, especially uploaded on the institute website (56%), are favored for their flexibility, while a blended learning format combining videos and reading materials (76%) is preferred for course content. A moderate frequency of three classes per week (46%) is most favored, with classes ideally lasting 45 minutes to 1 hour (76%). The preferred daily duration for online classes is 2-4 hours (72%), reflecting a desire for manageable learning sessions. Short breaks of 5-10 minutes (77%) are favored to maintain focus and momentum between classes. Overall, respondents value a balanced, mobile-friendly, and flexible online learning environment that allows them to engage with content at their own pace whileavoidingoverwhelming or extended sessions.
7. SUGGESTIONS
1. Enhance Mobile-Friendly Platforms:Giventhehigh preferenceforsmartphones(57%)andmobiledata packs (73%), educational institutions should prioritize mobile-optimized platforms and content to ensure seamless learning experiences across devices.
2. Improve Access to Wi-Fi: With only 27% of respondents using Wi-Fi, expanding affordable and reliableWi-Fiaccess,especiallyinruralareas,could enhance the quality of online learning and reduce dependencyonmobiledata.
3. Offer Flexible Learning Formats: Since recorded classes (56%) are highly preferred, institutions should continue providing both live and recorded sessions, enabling students to learn at their own pace while ensuring engagement through multimedia formats like video content combined withreadingmaterial(76%).
4. Optimize Class Duration and Breaks: The majority ofrespondentspreferclassestobe45minutesto1 hourlong(76%)withshortbreaksof5-10minutes (77%). This suggests that institutions should avoid long classes and implement shorter, more focused sessionswithadequatebutbriefbreakstomaintain studentattentionandpreventfatigue.
5. Personalize Schedules: Institutions could offer customizableonlineclassschedules,cateringtothe varied preferences for daily (31%) or three-daysper-week (46%) formats, allowing students to
choose based on their individual needs and availability.
8. SCOPE FOR FURTHER RESEARCH
1. Digital Divide:Investigatetheimpactofthedigital divide, particularly between urban and rural students, on access to online education, internet infrastructure,anddeviceavailability.
2. Learning Outcomes: Future studies could explore how different online class formats (live vs. recorded) and content delivery methods (video vs. text) influence learning outcomes and student retention.
3. Mental Health and Well-being: Research the effects of prolonged online learning on students’ mentalhealthincludingtheimpactofclassduration andbreaklengthonstressandconcentrationlevels.
4. Technological Adaptation: Analyze the effectiveness of emerging technologies like AIdriven platforms in enhancing online learning experiencesandpersonalizingeducation.
5. Teacher-Student Interaction: Further research could assess the quality of interaction between studentsandinstructorsinvariousonlineformats.
REFERENCES
[1] Sabila, A. M., Pradana, M., & Idris, M. (2022). AnalyzingtheEffectivenessofOnlineLearningfrom Students’ Perspective.Educational Administration: TheoryandPractice,61-73.
[2] Mohzana, M., Murcahyanto, H., & Haritani, H. (2024).TheEffectivenessofOnlineLearningonthe Level of Understanding of International Course Material.IJE: Interdisciplinary Journal of Education,2(1),1-11.
[3] Orhan, A. (2023). Comparing the Effectiveness of Online, Flipped, and In-Class Critical Thinking Instruction on Critical Thinking Skills and Dispositions in Higher Education: Flipped Classroom Produces the Greatest Gains.International Journal of Technology in Education,6(2),238-259.
[4] Al-Maroof, R. S., Alnazzawi, N., Akour, I. A., Ayoubi, K., Alhumaid, K., AlAhbabi, N. M., ... & Salloum, S. (2021). The effectiveness of online platforms after the pandemic: will face-to-face classes affect students’ perception of their Behavioural Intention (BIU)touseonlineplatforms?.InInformatics,8(4), 83.
International Research Journal of Engineering and Technology (IRJET)
Volume: 11 Issue: 09 | Sep 2024 www.irjet.net
[5] Mahendra,J.,Sivapathasundharam,B.,Mahendra,L., Chandrasekaran, S., Srinivasan, S., Muralidharan, J., ...&Patil,S.(2022).Effectivenessofonlinelearning vs traditional learning during COVID-19 pandemic in Chennai: A questionnaire study.The Journal of ContemporaryDentalPractice,23(3),295-302.
[6] Darius, P. S. H., Gundabattini, E., & Solomon, D. G. (2021). A survey on the effectiveness of online teaching–learning methods for university and college students.Journal of The Institution of Engineers(India):SeriesB,102(6),1325-1334.
[7] Topping, K. J., Douglas, W., Robertson, D., & Ferguson, N. (2022). Effectiveness of online and blended learning from schools: A systematic review.ReviewofEducation,10(2),e3353.
[8] Jhawar,N.,&Nandedkar,T.(2022).Effectivenessof Online Teaching Learning Process.IIMS Journal of ManagementScience,13(2).
[9] Kedia, P., & Mishra, L. (2023). Exploring the factors influencing the effectiveness of online learning: A study on college students.Social Sciences & HumanitiesOpen,8(1),100559.
[10] Watson, C., Templet, T., Leigh, G., Broussard, L., & Gillis, L. (2023). Student and faculty perceptions of effectiveness of online teaching modalities.Nurse EducationToday,120,105651.
[11] Shen, J., Qi, H., Mei, R., & Sun, C. (2024). A comparative study on the effectiveness of online and in-class team-based learning on student performance and perceptions in virtual simulation experiments.BMCMedicalEducation,24(1),135.