Engage Me Through BigBlueButton

2021 ◽  
pp. 1-15
Author(s):  
Lejla Turulja ◽  
Amra Kapo ◽  
Merima Činjarević
Keyword(s):  
Student Engagement ◽  
Undergraduate Students ◽  
Online Teaching ◽  
Student Perception ◽  
Value Theory ◽  
Learning System ◽  
Expectancy Value ◽  
Course Content ◽  
Course Rigor ◽  
E Learning

This study examines student engagement in an online environment concerning the perception regarding the course and the technology used. A research model was developed from the principal tenets of the expectancy-value theory to which values and expectations are assumed to influence how students build engagement. The model conjoins student perception related to course factors (content and rigor), technology factor (technology convenience), and student engagement (psychological, cognitive, emotional, and behavioral). The model was tested using a sample composed of 328 business undergraduate students taking the courses online using the BigBlueButton e-learning system due to the global emergency caused by the COVID-19 pandemic. Hence, respondents did not voluntarily choose the online teaching delivery method. The results imply that both course content and perceived technology convenience predict overall student engagement, while course rigor influences student cognitive, emotional, and behavioral commitment, but not psychological engagement.

scholarly journals Quarantined-at-Home Teaching Experience: My E-Learning Plan and Implementation

2020 ◽  
Vol 14 (1) ◽  
pp. 120-132 ◽  
Author(s):  
Azher Hameed Qamar
Keyword(s):  
Undergraduate Students ◽  
Online Teaching ◽  
Teaching Experience ◽  
Course Content ◽  
Implementation Model ◽  
Learning Plan ◽  
Teacher Student ◽  
E Learning ◽  
Study Context ◽  
At Home

Using my own teaching experience in quarantined-at-home settings, I describe and reflect on my e-learning plan and its implementation. I am teaching two groups of undergraduate students consisting of 80 students. I have taught half of the course content during the first half of the semester in a formal university setting. However, after the novel corona breakout, we are engaged in online teaching. In line with university guidelines and available support, I initiated my e-learning plan based on blended learning and led by the core objectives to maintain accessibility and quality. Using asynchronous and synchronous modes I used common and easily available options to enhance two-way teacher-student communication. The feedback that I received after three weeks of implementation of my e-learning plan proved my understanding of the study context as workable and realistic. My conceptual models about the objectives leading the e-learning plan and the implementation model presented in this article can be helpful for the teachers teaching social sciences for the first time in ‘quarantined’ settings. 

Higher education student engagement in times of pandemic: the role of e-learning system usability and teacher behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khalid Abed Dahleez ◽  
Ayman A. El-Saleh ◽  
Abrar Mohammed Al Alawi ◽  
Fadi Abdelmuniem Abdelfattah
Keyword(s):  
Higher Education ◽  
Student Engagement ◽  
Cognitive Engagement ◽  
Teacher Behavior ◽  
Learning System ◽  
Emotional Engagement ◽  
Education Student ◽  
Content Type ◽  
System Usability ◽  
E Learning

PurposeThis research examined the factors affecting several types of student engagement, namely agentic, behavioral, emotional and cognitive engagement. Specifically, it examined the effect of e-learning system usability on student engagement and explored teacher behavior's possible intervening impact on this relationship.Design/methodology/approachData were collected from 418 students studying at different specializations at Omani private academic institutions. This study employed a quantitative methodology and utilized the Smart-PLS for data analyses.FindingsThe findings showed that e-learning system usability influenced significantly and positively agentic, behavioral and cognitive engagement. However, the link between e-learning system usability and emotional engagement was not significant. Moreover, teacher behavior mediated the relationship between e-learning system usability and the four types of engagement.Originality/valueThis study improves one’s understanding of how the interaction of e-learning system usability and teacher behavior affects several aspects of student engagement. It also helps higher education administrators and policymakers by exploring the influential effects of e-learning systems usability and teacher behavior on facilitating students' engagement.

Factors Associated with students’ Intention to use E-Learning System: A Study from Public Universities of Lahore

2021 ◽  
Vol 9 (2) ◽  
pp. 167-173
Author(s):  
Shagufta Shaheen ◽  
Mubasher Muhammad Kamran ◽  
Saira Naeem ◽  
Tahir Mahmood
Keyword(s):  
Undergraduate Students ◽  
Public Universities ◽  
Positive Impact ◽  
Cross Sectional Study ◽  
Learning Systems ◽  
Learning System ◽  
Policy Implications ◽  
Intention To Use ◽  
Cross Sectional ◽  
E Learning

The study's primary purpose is to explore the factors affecting the students' intention to use e-learning systems in the COVID pandemic. The model of the “Unified theory of acceptance and use of technology” (UTAUT) was used as a theoretical underpinning. The Independent variables include “performance expectancy, effort expectancy, social influence, facilitating condition,” and the dependent variable is the intention to use e-learning systems. The quantitative data were collected from the postgraduate and undergraduate students of the public universities of Lahore. A total of n=411 students were approached, out of which the responses of only 399 were considered valid and were used for Multiple linear regression through SPSS 25. It was a cross-sectional study. It was found that almost all constructs of the model have a significant positive impact on intention to use e-learning systems.  The study's main contribution is exposing the factors that affect the acceptance and use of e-learning systems. This study has several policy implications for policy experts of higher education”.

scholarly journals Early year undergraduate researchers’ reflections on the values and perceived costs of their research experience

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Gaye D. Ceyhan ◽  
John W. Tillotson
Keyword(s):  
Achievement Motivation ◽  
Undergraduate Students ◽  
Undergraduate Research ◽  
Intrinsic Value ◽  
Value Theory ◽  
Research Experience ◽  
Expectancy Value ◽  
Research Experiences ◽  
Research Findings ◽  
Future Work

Abstract Background Prior research reported that motivational beliefs that individuals attach to specific tasks predict continuing interest and persistence in the task. A motivational approach may be particularly useful for understanding undergraduate students’ engagement with research in their first and second years in college. The current study utilizes the expectancy-value theory of achievement motivation to qualitatively explore how much and in what ways early year undergraduate researchers value their research experience and what kinds of costs they associate with it. Results The results revealed that intrinsic value had the highest expression in participants’ motivation to engage in research. The second most expressed value type was the utility value of undergraduate research with regards to obtaining the desired outcomes, and attainment value played the least important role in participants’ motivation to engage in research. Findings also indicated that some of the participants associated a cost(s) to their research experience. The highest mentioned perceived cost was opportunity cost, where participants commented on losing other valued alternatives when engaging in research. Participants commented on the time, effort, or amount of work needed to engage in research, and a few participants commented on the emotional cost associated with their research experience in terms of the fear of failure. Conclusion As perceived cost is the least studied in the expectancy-value framework, this study contributes to cost values within college students, particularly about early year undergraduate researchers. The findings of this study can form the basis for future work on exploring ways to increase the values and decrease the costs students experience in their undergraduate research experiences.

E-Pod: E-learning System for Improving Student Engagement in Asynchronous Mode

2021 ◽  
Author(s):  
Sachini Tennakoon ◽  
Thathsarani Wickramaarachchi ◽  
Ridmi Weerakotuwa ◽  
Piumi Sulochana ◽  
Anuradha Karunasena ◽  
...  
Keyword(s):  
Student Engagement ◽  
Learning System ◽  
Asynchronous Mode ◽  
E Learning

Aspects of e-Learning in a University

2010 ◽  
Vol 2 (4) ◽  
pp. 43-52 ◽  
Author(s):  
Karen Manning ◽  
Lily Wong ◽  
Arthur Tatnall
Keyword(s):  
Online Teaching ◽  
Strategic Decisions ◽  
Teaching Resources ◽  
Course Content ◽  
Face To Face ◽  
E Learning ◽  
On Line ◽  
Adoption Decisions ◽  
The University ◽  
On Line Learning

Most universities make use of e-learning facilities to manage and deliver on-line learning. Many universities have adopted an approach to teaching and the delivery of course content that combines traditional face-to-face delivery with online teaching resources: a blended learning approach. Many factors act to determine how online learning is adopted, accepted, and the balance between online and face-to-face delivery is formed. In this paper, the authors suggest that educational technology adoption decisions are made at three levels: strategic decisions are made by the university to implement a particular package, and then individual academics made adoption decisions regarding those aspects of the package they will use in their teaching and how they will use them. They also make a decision on the balance they will have between on-line and face-to-face teaching. This article questions how decisions are made to adopt one e-learning package rather than another. The authors then examine how individual academics relate to this technology once it is adopted and make use of it to deliver some or all of their teaching and determine the appropriate blend.

scholarly journals “When I saw my peers annotating”

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jeremiah Holden Kalir ◽  
Esteban Morales ◽  
Alice Fleerackers ◽  
Juan Pablo Alperin
Keyword(s):  
Undergraduate Students ◽  
Student Perception ◽  
Perceived Value ◽  
Learning Technology ◽  
Digital Resources ◽  
Content Type ◽  
Course Content ◽  
Social Annotation ◽  
Upper Level ◽  
Practical Implications

Purpose Social annotation (SA) is a genre of learning technology that enables the annotation of digital resources for information sharing, social interaction and knowledge production. This study aims to examine the perceived value of SA as contributing to learning in multiple undergraduate courses. Design/methodology/approach In total, 59 students in 3 upper-level undergraduate courses at a Canadian university participated in SA-enabled learning activities during the winter 2019 semester. A survey was administered to measure how SA contributed to students’ perceptions of learning and sense of community. Findings A majority of students reported that SA supported their learning despite differences in course subject, how SA was incorporated and encouraged and how widely SA was used during course activities. While findings of the perceived value of SA as contributing to the course community were mixed, students reported that peer annotations aided comprehension of course content, confirmation of ideas and engagement with diverse perspectives. Research limitations/implications Studies about the relationships among SA, learning and student perception should continue to engage learners from multiple courses and from multiple disciplines, with indicators of perception measured using reliable instrumentation. Practical implications Researchers and faculty should carefully consider how the technical, instructional and social aspects of SA may be used to enable course-specific, personal and peer-supported learning. Originality/value This study found a greater variance in how undergraduate students perceived SA as contributing to the course community. Most students also perceived their own and peer annotations as productively contributing to learning. This study offers a more complete view of social factors that affect how SA is perceived by undergraduate students.

scholarly journals Is it still worth it? Applying expectancy-value theory to investigate the intraindividual motivational process of forming intentions to drop out from university

2020 ◽  
Vol 44 (4) ◽  
pp. 491-507 ◽  
Author(s):  
Theresa Schnettler ◽  
Julia Bobe ◽  
Anne Scheunemann ◽  
Stefan Fries ◽  
Carola Grunschel
Keyword(s):  
Undergraduate Students ◽  
Intrinsic Value ◽  
Value Theory ◽  
Drop Out ◽  
Multilevel Regression ◽  
Expectancy Value Theory ◽  
Final Exam ◽  
Expectancy Value ◽  
Motivational Process ◽  
And Mathematics

Abstract The intraindividual process of study dropout, from forming dropout intention to deregistration, is of motivational nature. Yet typical studies investigate interindividual differences, which do not inform about intraindividual processes. Our study focused on the intraindividual process of forming dropout intention, and applied expectancy-value theory to analyze its motivational underpinnings. To expand research, we considered associations of intraindividual deviations in expectancy, intrinsic value, attainment value, utility value, and cost to intraindividual deviations in dropout intention. A total of 326 undergraduate students of law and mathematics rated motivational variables and dropout intention three times from semester start to the final exam period. Multilevel regression analyses revealed that intraindividual changes in intrinsic value, attainment, and cost, but not in expectancy and utility, related to intraindividual changes in dropout intention. Further, we considered students’ demographics as moderators. Only age moderated the association between intrinsic value and dropout intention. Our results stress the crucial role of certain value components, including cost, for emerging dropout intention.

Implementation and Evaluation of Online Courses

2009 ◽  
pp. 305-329
Author(s):  
Chao Lee
Keyword(s):  
Online Teaching ◽  
Online Courses ◽  
Technical Support ◽  
Learning System ◽  
Online Course ◽  
Course Content ◽  
Course Materials ◽  
Support Team ◽  
Addie Model ◽  
Teaching Learning

As stated in the discussion of the ADDIE model in the last chapter, implementation and evaluation are part of the development process. Once online course materials are developed, the next task is to deploy the course materials to students. The first topic of this chapter will deal with the issues related to the deployment of online course materials. In this chapter, we will discuss the tasks such as planning and training involved in the deployment process. Once the online course materials have been deployed, there will be a large number of requests from the students for help on technology and course content related issues. To keep the online teaching/learning system running successfully, we need a strong technical support team including experienced computer service personnel, instructors, and fellow students. This chapter will deal with the issues related to technical support. We will discuss various ways to provide technical support services.

Optimizing Student Engagement in Online Learning Environments

2018 ◽  
pp. 671-702
Author(s):  
Mukta Goyal ◽  
Rajalakshmi Krishnamurthy
Keyword(s):  
Information And Communication Technologies ◽  
Teaching And Learning ◽  
Communication Technologies ◽  
Learning System ◽  
Learning Material ◽  
Learning Materials ◽  
Efficient Manner ◽  
Course Content ◽  
Information And Communication ◽  
E Learning

In today's scenario, e-learning has become a significant part of the academic environment as well as of the corporate training sectors. Advancement in Information and Communication Technologies (ICTS) has brought new intersection of education, teaching, and learning that defines e-learning. E-learning systems deliver information for education at any time and at any place in an efficient manner. E-learning system consists of course content or learning materials in the form of nodes. These nodes are linked such that users can traverse the other nodes in the hypermedia environment. These learning concepts are available synchronously and asynchronously in different ways of representation. This presents learning materials in a disorganized manner to the learners. Due to this, learners may decline to adapt the learning material or may deviate from their goals. This requires a user model to respond to different needs of a learner. To handle the uncertainty of learner's mind while learning the concepts an intuitionistic fuzzy approach is used.

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