A Qualitative Study of Student Expectations of Online Faculty Engagement

Author(s):  
Christoper W. Berg ◽  
Melanie Shaw ◽  
Anthony L. Contento ◽  
Scott W. M. Burrus

Institutions offering online courses and degrees often develop requirements for faculty-to-student interactions; yet, these requirements may not align student preferences for faculty engagement. This chapter expanded the work on an earlier study by Shaw, Clowes, and Burrus, “A Comparative Typology of Student and Institutional Expectations of Online Faculty.” The current study included a new sampling of 57 students across two institutions focused on their experiences in online courses. Using the original typology as a lens, results were grouped into themes including substantive feedback, timeliness, and course expectations. Recommendations for further study include conducting a quantitative study of the relationship between faculty outcomes and student satisfaction after implementing student performance expectations.

Author(s):  
Christoper W. Berg ◽  
Melanie Shaw ◽  
Anthony L. Contento ◽  
Scott W. M. Burrus

Institutions offering online courses and degrees often develop requirements for faculty-to-student interactions; yet, these requirements may not align student preferences for faculty engagement. This chapter expanded the work on an earlier study by Shaw, Clowes, and Burrus, “A Comparative Typology of Student and Institutional Expectations of Online Faculty.” The current study included a new sampling of 57 students across two institutions focused on their experiences in online courses. Using the original typology as a lens, results were grouped into themes including substantive feedback, timeliness, and course expectations. Recommendations for further study include conducting a quantitative study of the relationship between faculty outcomes and student satisfaction after implementing student performance expectations.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Venugopal Prabhakar Gantasala ◽  
Swapna Bhargavi Gantasala ◽  
Tareq Na'el Al Tawil ◽  
Prerana Prasad

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


Author(s):  
Thomas A. Stokes ◽  
Douglas J. Gillan ◽  
Jeffery P. Braden

Online courses present a new element to learners in college courses. Interfaces (web pages) take the place of an instructor as the primary information delivery system. In other words, a student’s learning experience is now tied to the quality of a course’s human- computer interaction. One emerging method of online course delivery is an adaptive course that tailors to individual students needs, abilities, or preferences. There has been much work done on the algorithms that allow the course to adapt to individual students, but there seems to be a lack of research into the usability of these interfaces and how their quality affects student performance and satisfaction. This paper presents some of the data that was collected in a larger, grant-supported project and establishes relationships between usability metrics (ease of use and perceived usefulness) and student satisfaction and outcome measures in adaptive-online courses.


Author(s):  
Conrad S. Tucker ◽  
Bryan Dickens ◽  
Anna Divinsky

The objective of this research is to mine textual data (e.g., online discussion forums) generated by students enrolled in Massive Open Online Courses (MOOCs) in order to quantify students’ sentiment, in relation to their course performance. Massive Open Online Courses (MOOCs) are free to anyone with a computing device and a means of connecting to the internet and serve as a new paradigm for distance based education. While student interactions in traditional based brick and mortar classes are readily observable by students and instructors, quantifying the sentiments expressed by students in MOOCs remains challenging. This is in part due to the quantity of textual data being generated by students enrolled in MOOCs, in addition to a lack of quantitative methodologies that discover latent, previously unknown knowledge pertaining to student interactions and sentiments in the digital world. The authors of this work introduce a data mining driven methodology that employs natural language processing techniques and text mining algorithms to quantify students’ sentiments, based on their textual data provided during course assignment discussions. The researchers of this work aim to help educators understand the factors that may impact student performance, team interactions and overall learning outcomes in digital environments such as MOOCs.


2022 ◽  
Vol 4 (3) ◽  
pp. 94-110
Author(s):  
Eric Litton

Many instructors use videos to support their teaching in online courses to convey course content that would normally be taught in a traditional setting. Prior studies have shown some connection between utilizing online videos and student performance but do not always support their finding statistically or consider the nuance of the online videos, such as if the videos are required and how long the videos are. This article uses various quantitative analysis techniques to investigate the relationship between video length, student video viewing patterns, and grades. The findings indicate that videos should stay within a certain length to encourage student engagement with the videos and course assignments. Also, watching online videos is only positively related to grades when students are not required to watch, a result that is consistent across course-level and student-level models. Student viewing patterns also differ for courses that require watching videos versus those that do not. The article concludes by discussing the relevance of these results and how instructors can best utilize online videos in their courses.


2018 ◽  
Vol 22 (1) ◽  
Author(s):  
Florence Martin ◽  
Doris U Bolliger

Student engagement increases student satisfaction, enhances student motivation to learn, reduces the sense of isolation, and improves student performance in online courses. This survey-based research study examines student perception on various engagement strategies used in online courses based on Moore’s interaction framework. One hundred and fifty five students completed a 38-item survey on learner-to-learner, learner-to-instructor, and learner-to-content engagement strategies. Learner-to-instructor engagement strategies seemed to be most valued among the three categories. Icebreaker/introduction discussions and working collaboratively using online communication tools was rated the most beneficial engagement strategy in the learner-to-learner category, whereas sending regular announcements or e-mail reminders and providing grading rubrics for all assignments was rated the most beneficial in learner to instructor category. In the student-content category, students mentioned working on real world projects and having discussions with structured or guiding questions were the most beneficial. This study also analyzed age, gender, and online learning years of experience differences on their perception of engagement strategies. The results of the study have implications for online instructors, instructional designers, and administrators who wish to enhance engagement in the online courses.


2021 ◽  
Author(s):  
Barbara Means ◽  
Vanessa Peters ◽  
Julie Neisler ◽  
Korah Wiley ◽  
Rebecca Griffiths

The abrupt transition to remote instruction in response to COVID-19 posed significant challenges for both students and instructors. This report provides data on the prevalence of the different kinds of challenges college students faced during the shift to remote instruction and the nature of spring 2020 courses from the perspectives of both students and instructors. These descriptions are complemented by survey data on the prevalence of online instructional practices that are generally recommended in the online learning literature and analyses of the relationship of these practices to student satisfaction with their course. This report describes findings from two research activities conducted concurrently: a survey of a nationally representative sample of over 1,000 undergraduates who were taking online courses that included in-person meetings when they began and had to switch to entirely remote instruction; and qualitative descriptions of 29 courses offered by 10 institutions, based on interviews and focus groups with students and instructors.


2011 ◽  
Vol 18 (2) ◽  
Author(s):  
Michael C. Campbell ◽  
Joe Floyd ◽  
Joanne B. Sheridan

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="mso-bidi-font-style: italic;"><span style="font-size: x-small;"><span style="font-family: Batang;">This paper assesses the differences in performance and attitudes of students taught online versus onsite.<span style="mso-spacerun: yes;">&nbsp; </span>Students completed a course evaluation designed to determine student satisfaction in specific areas.<span style="mso-spacerun: yes;">&nbsp; </span>Student performance was measured by means of a comprehensive exam that tested all material covered in the course.<span style="mso-spacerun: yes;">&nbsp; </span>Results support the contention that students in online courses learn as much or more than students in traditional onsite courses and are as satisfied with the course and the instruction as their onsite counterparts.</span></span></span></p>


10.28945/4122 ◽  
2018 ◽  
Vol 17 ◽  
pp. 399-422 ◽  
Author(s):  
Yasemin Afacan

Aim/Purpose: This study investigates, through structural equation modeling, the direct and indirect effects of blended learning on overall course satisfaction and student performance in interior architecture. Background: For critical education contexts, it is important to analyze student satisfaction with blended learning as well as its effects on student performance. In the context of teaching design, there is a need for in-depth research to understand what factors determine satisfaction with blended learning and how these factors affect performance in design courses both directly and indirectly. Methodology: To explore the student experiences of blended learning and its effects on the relationship between overall course satisfaction and student performance, data was collected through a survey instrument from a randomly selected 306 undergraduate students, 220 female and 86 male, each enrolled in four daytime blended learning sections of a design course. Contribution: Different than other studies, this study contributes to the literature by investigating the direct and indirect effects of a blended learning environment on the relationship between overall course satisfaction and student performance in the interior architecture context, rather than solely focusing on satisfaction or performance. Findings: The findings show that satisfaction with blended learning has a significant and direct influence on performance. Different than the studies in blended learning satisfaction literature, the study found blended interpretation and experience as significant contributors to impact blended learning satisfaction in design courses. Recommendations for Practitioners: The findings in the study are intended to assist design instructors in improving student satisfaction of a blended design course in order to enjoy the possibilities of new information and communication technologies (ICTs) as well as to serve as a basis for developing an effective course mechanism in a blended design curriculum. Recommendation for Researchers: The study focused on the mediating effect of only one variable, which was performance, but researchers could investigate more variables, such as experience, learning strategies, and retention as having mediating effects on student satisfaction in different blended learning models in design courses. Impact on Society: This study emphasizes that students’ satisfaction with blended learning in challenging learning environments like interior architecture provides learners with choices to develop more student-centered instruction and increased performance and engagement. Future Research: It is advisable to (i) explore the blended learning behavior of international design students compared with national students and (ii) investigate potential implications of computer-mediated feedbacks on student creativity.


2021 ◽  
Vol 17 (4) ◽  
pp. 538
Author(s):  
Nurul Nadia Abd Aziz ◽  
Mohd Aidil Riduan Awang Kader ◽  
Roslilee Ab Halim

Abstract: Technostress can be seen as a relevant factor that may affect student satisfaction and student performance. However, a lack of research has been carried out to analyse the simultaneous effect of the four technostress dimensions, namely techno-overload, techno-complexity, techno-insecurity, and techno-uncertainty on student satisfaction and performance expectancy. Performance expectancy is appropriate to use as an endogenous construct since this research was carried out during open and distance learning (ODL) implementation and before the final examination. Hence, this study aims to investigate the association between the four technostress dimensions towards student satisfaction. This research also seeks to examine the relationship between student satisfaction and performance expectancy among undergraduates. A total of 500 self-administered questionnaires were distributed but 458 valid questionnaires were found. All of the respondents were at the diploma level from UiTM Pahang Branch Campus. An online survey questionnaire was used since all respondents were in their hometowns due to the Malaysian government's Movement Control Order (MCO). In this study, SEM-AMOS was conducted to evaluate the measurement model and to test the hypotheses. This study found that techno-complexity displays a more significant contribution to student satisfaction and performance expectancy than techno-uncertainty. However, the results explicitly imply that the influence of techno-overload and techno-insecurity on students' satisfaction and performance expectancy is not significant.  Keywords: Performance expectancy; student satisfaction; technostress; university students


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