A study of learners' perceived value and satisfaction for implied effectiveness of online learning systems

Online learning systems (OLS) have become center stage for corporations and educational institutions as a competitive tool in the knowledge economy. The satisfaction construct has received extensive coverage in information systems literature as an indicator of effectiveness but has been criticized for lack of validity; yet, the value construct has been largely ignored, although it has a long history in psychology, sociology, and behavioral science. The purpose of this dissertation is to investigate the value and satisfaction constructs in the context of OLS, and their perceived by learners relationship for implied effectiveness of OLS. ^ First, a qualitative phase is employed to gather OLS values from learners' focus groups, followed by a pilot phase to refine a proposed instrument, and a main phase to validate the survey. Responses were received from 75 students in four focus groups, 141 in the pilot, and 207 the main survey. Extensive data cleaning and exploratory factor analysis were done to identify factors of learners' perceived value and satisfaction of OLS. Then, Value-Satisfaction grids and the Learners' Value Index of Satisfaction (LeVIS) were developed as benchmarking tools of OLS. Moreover, Multicriteria Decision Analysis (MCDA) techniques were employed to impute value from satisfaction scores in order to reduce survey response time. ^ The results provided four satisfaction and four value factors with high reliability (Cronbach's α). Moreover, value and satisfaction were found to have low linear and nonlinear correlations, indicating that they are two distinct uncorrelated constructs. This is consistent with the literature. Value-Satisfaction grids and the LeVIS index indicated relatively high effectiveness for technology and support characteristics, relatively low effectiveness for professor's characteristics, while course and learner characteristics indicated average effectiveness. ^ The main contributions of this study include identifying, defining, and articulating the relationship between value and satisfaction constructs as assessment of users' implied IS effectiveness, as well as assessing the accuracy of MCDA procedures to predict value scores, thus reducing by half the survey questionnaire size. ^

A generalized multidimensional index structure for multimedia data to support content-based similarity searches in a collaborative search environment

Since multimedia data, such as images and videos, are way more expressive and informative than ordinary text-based data, people find it more attractive to communicate and express with them. Additionally, with the rising popularity of social networking tools such as Facebook and Twitter, multimedia information retrieval can no longer be considered a solitary task. Rather, people constantly collaborate with one another while searching and retrieving information. But the very cause of the popularity of multimedia data, the huge and different types of information a single data object can carry, makes their management a challenging task. Multimedia data is commonly represented as multidimensional feature vectors and carry high-level semantic information. These two characteristics make them very different from traditional alpha-numeric data. Thus, to try to manage them with frameworks and rationales designed for primitive alpha-numeric data, will be inefficient. An index structure is the backbone of any database management system. It has been seen that index structures present in existing relational database management frameworks cannot handle multimedia data effectively. Thus, in this dissertation, a generalized multidimensional index structure is proposed which accommodates the atypical multidimensional representation and the semantic information carried by different multimedia data seamlessly from within one single framework. Additionally, the dissertation investigates the evolving relationships among multimedia data in a collaborative environment and how such information can help to customize the design of the proposed index structure, when it is used to manage multimedia data in a shared environment. Extensive experiments were conducted to present the usability and better performance of the proposed framework over current state-of-art approaches.

Adults Learning Math Online: A Surprising Harmony

Adults returning to school face challenges including overcoming math anxiety. Many choose online courses as they balance life and work schedules. Online math courses therefore can be restructured to prevent math anxiety by catering to individual learning styles, providing tools that aid concept attainment, and using problem-based learning strategies.

From the Grassroot to the Tree Tops: How One Library has become Embedded in Online Learning

This presentation will show how a grassroots initiative has budded into the Florida International University (FIU) Libraries being an instrumental part of online learning. It will describe some of the marketing and outreach efforts that have been successful and share ideas on how to build alliances and networks with online faculty and students. Along with outreach efforts, the presentation will demonstrate some of the successful tools used to meet the needs of online students. Some of the these tools include becoming embedded in courses, building course and program specific Libguides, using Adobe Connect to reach students, creating simple YouTube videos, and creating more professional videos with FIU Online. The presentation will conclude with sharing some tips on how to keep the workload manageable when distance-learning programs are growing at the same time as library budgets and resources are shrinking.

A Basic Interpretive Study of the Experiences of University Students Who Have Dropped or Failed an Online Course

Online courses have increased in enrollments over the past few decades. As the number of students taking online courses have increased, so has the number of students who have dropped or failed an online course. According to the literature, online courses may have higher drop rates than traditional, face-to-face courses. The number of students who fail an online course is, also, of concern. As online courses may continue to grow over the next few decades, studies on persistence in online courses may benefit students, administrators, instructional designers, educators, and researchers. Although previous research studies have addressed persistence in online courses, very few examine it from the perspectives of students who were unsuccessful in their courses. These students may have unique insights about the online experience that may have related to their lack of success. The purpose of this study was to understand the experiences of university students who have failed or dropped an online course through the lenses of transactional distance theory and Kember’s model of dropout in distance education. Transactional distance theory discusses the dialog, structure, and learner autonomy involved in an online course, while, Kember’s model presents categories that may relate to dropping an online course. Together, the theory and model may help in understanding the experiences of students who have dropped or failed an online course. In this study, semi-structured interviews were conducted with 20 participants from a large Southeastern university in the United States. Based on the participants’ responses, the data was sorted and ranked according to the amount of transactional distance in their courses, as well as the categories of Kember’s model. Many of the participants who experienced low or high transactional distance have, also, expressed an issue with the goal commitment category of Kember’s model. Additionally, there were important differences in the student characteristics of those who dropped or failed an online course. Furthermore, suggestions for improving online courses were given by the participants. Some of these suggestions included more student-instructor interactions, the use of more technology tools in their online course, and for orientations to the online environment to be offered.

A basic interpretive study of the experiences of university students who have dropped or failed an online course

Online courses have increased in enrollments over the past few decades. As the number of students taking online courses have increased, so has the number of students who have dropped or failed an online course. According to the literature, online courses may have higher drop rates than traditional, face-to-face courses. The number of students who fail an online course is, also, of concern. As online courses may continue to grow over the next few decades, studies on persistence in online courses may benefit students, administrators, instructional designers, educators, and researchers. Although previous research studies have addressed persistence in online courses, very few examine it from the perspectives of students who were unsuccessful in their courses. These students may have unique insights about the online experience that may have related to their lack of success. The purpose of this study was to understand the experiences of university students who have failed or dropped an online course through the lenses of transactional distance theory and Kember’s model of dropout in distance education. Transactional distance theory discusses the dialog, structure, and learner autonomy involved in an online course, while, Kember’s model presents categories that may relate to dropping an online course. Together, the theory and model may help in understanding the experiences of students who have dropped or failed an online course. In this study, semi-structured interviews were conducted with 20 participants from a large Southeastern university in the United States. Based on the participants’ responses, the data was sorted and ranked according to the amount of transactional distance in their courses, as well as the categories of Kember’s model. Many of the participants who experienced low or high transactional distance have, also, expressed an issue with the goal commitment category of Kember’s model. Additionally, there were important differences in the student characteristics of those who dropped or failed an online course. Furthermore, suggestions for improving online courses were given by the participants. Some of these suggestions included more student-instructor interactions, the use of more technology tools in their online course, and for orientations to the online environment to be offered.^