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Remote Workplace Learning Shift to Remote Learning during the COVID-19 Pandemic

The need for online remote working from home significantly increased due to the COVID-19 pandemic. This unexpected crisis forced individuals and organizations to rapidly transition from face-to-face training to remote learning at home. This switch happened overnight and was not optional but necessary. Employees had to adapt to new online learning techniques, seeking to preserve the same level of learning as working from the office. The study participants were male and female remote workers in the United States aged 18 and over. A questionnaire focused on evaluating online training in the workplace and a survey measuring two types of attitudes related to the transfer of training and technology integration while taking online training courses that were distributed online. The study collected a total of 50 responses from participants for analysis. According to the study results, employees noted some positive features of remote learning, such as flexibility, self-paced learning opportunities, and faster content absorption. Areas employees identified for improvement were closely related to the causes of complaints, such as network and technology issues, using a learning management system (LMS), instructions for using an LMS or course management system (CMS), face-to-face tech support, distractions, and suitable workspace at home. The study's results …
Date: July 2023
Creator: Jackson, Kimberly Nicole
System: The UNT Digital Library
Examining the Educational Depth of Medical Case Reports and Radiology with Text Mining (open access)

Examining the Educational Depth of Medical Case Reports and Radiology with Text Mining

The purpose of this dissertation was to use the technology of text mining and topic modeling to explore unobserved themes of medical case reports that involve medical imaging. Case reports have a valuable place in medical research because they provide educational benefits, offer evidence, and encourage discussions. Their form has evolved throughout the years, but they have remained a key staple in providing important information to the medical communities around the world with educational context and illuminating visuals. Examining medical case reports that have been published throughout the years on multiple medical subjects can be challenging, therefore text mining and topic modeling methods were used to analyze a large set of abstracts from medical case reports involving radiology. The total number of abstracts used for the data analysis was 68,845 that were published between the years 1975 to 2022. The findings indicate that text mining and topic modeling can offer a unique and reproducible approach to examine a large quantity of abstracts for theme analysis.
Date: December 2023
Creator: Collinsworth, Amy L.
System: The UNT Digital Library
Instructors and Underrepresented Students in Microbiology: Educational Digital Tool Use, Trends, Perceptions, and Success (open access)

Instructors and Underrepresented Students in Microbiology: Educational Digital Tool Use, Trends, Perceptions, and Success

The purpose of this three-article dissertation was to expand knowledge and theory regarding digital tool use in biology laboratory courses, such as microbiology, which requires specific laboratory skill development through the perception of instructors and students. Article 1 establishes the broad digital literacy and fluency problem in education by providing definitions and the context behind digital literacy fluency and its impact on acquisition of knowledge in digital learning environments. The study provided a picture of the lack of knowledge about the use of digital tools in education and practical problems around appropriate implementation, infrastructure, and preparedness. Article 2 presents results of a literature research study about the foundational, pandemic-induced, and current digital tool use in biology and microbiology lab courses. Recommendations for improvement in digital tool implementation, pedagogical approach, and appropriate selection to meet learning outcomes were provided. Article 3 describes a 3-layered study to build a new instrument to understand minority-student perceptions of identity and digital literacy and technology barriers on student success in STEM courses. The study identified challenges and benefits of digital tool use in virtual microbiology lab courses, unique challenges of underrepresented populations, and the need to develop an instrument to capture the context of this …
Date: December 2023
Creator: Bradshaw-Ward, Danita M.
System: The UNT Digital Library
Testing the Perceived Efficacy and Value of a Solar-Powered MoodleBox to Provide Sustainable Educational Support to Underdeveloped Areas (open access)

Testing the Perceived Efficacy and Value of a Solar-Powered MoodleBox to Provide Sustainable Educational Support to Underdeveloped Areas

The dissertation aims to expand access through a low-cost technological innovation system S-MLS to learners in underdeveloped areas with difficulties in accessing education. Technology is advancing rapidly. However, many parts of the world need access to educational advances, which are hindered due to war, political situations, and low literacy and income. A qualitative phenomenological approach explores the lived experience using the solar-powered computing and learning management system (LMS) to support the development of educational access in underrepresented societies, developing countries, and rural areas where access to proper classroom education is non-existent. Proof of concept is used with a group of students in a rural area, a developing country, and within an underrepresented population to check the feasibility of using the equipment in a real-world setting. A technology acceptance model would be used to identify the user's perceived interest and user acceptance. The community of inquiry theory would find the first-hand experience and point of view of the learner. The student group interviews would be through semi-structured interviews. Observations, surveys, video/audio recordings, and artifacts would be gathered for further analysis. The data collected would be analyzed using interpretative phenomenology analysis (IPA), close examination, and management of development themes through thoughts, observations, …
Date: December 2023
Creator: Samaranayake, Pradeepika Nelumdini
System: The UNT Digital Library
Needs Analysis for the Implementation of Supplemental Educational Videos in the Training of Surgical Residents (open access)

Needs Analysis for the Implementation of Supplemental Educational Videos in the Training of Surgical Residents

This dissertation aimed to research the possibility of integrating a supplemental video system in a surgical residency for educational use. A needs analysis was to be conducted in order to find if current stakeholders would accept such a system within a surgical residency: (a) surgical residents, (b) teaching physicians, and (c) administrators. The study aimed to research factors that complicate the current educational setting for surgical residents, such as time allotted for learning, fatigue during learning opportunities, teaching physicians time and effort into teaching responsibilities, and the cost of such systems and their perceived value to administrators. Also investigated was the type of learning theories best suited to creating a supplemental video system in a hospital setting. After this, a set of interviews was conducted amongst the stakeholders to evaluate the needs of the residency and the willingness of all parties to accept the system into their educational structure. What was found was a high level of interest in a more centralized learning management system, which is the central depository for all educational materials to be used by the residents. Most agreed that the learning environment lacked structure and optimally required something more substantial than adding supplemental videos to the …
Date: December 2023
Creator: Serfin, Michael
System: The UNT Digital Library
Novice Programmers' Unproductive Persistence: Using Learning Analytics to Interrogate Learning Theories (open access)

Novice Programmers' Unproductive Persistence: Using Learning Analytics to Interrogate Learning Theories

The purpose of this study is to analyze which behaviors are or are not helpful for debugging when a novice is in a state of unproductive persistence. Further, this project will exploratorily use a variety of analytical techniques -- including association rule mining, process mining, frequent sequence mining, and machine learning-- in order to determine which approaches are useful for data analysis. For the study, programming process data from hundreds of novice programmers were analyzed to determine which behaviors were more or less likely to be correlated with escaping a state of unproductive persistence. Of these events, only three had a statistically significant difference in their rates of occurrence and large effect sizes: file, edit, and compile events. While the data set cannot reveal a user's motivation for a file event, the most logical explanation of these events is that the user is tracing the code. Thus, a higher rate of file events suggests that code tracing (with the goal of code comprehension) is a key behavior correlated with a student's ability to escape a state of unproductive persistence. On the other hand, editing events are far more common in unproductive states that are not escaped. A content analysis suggests …
Date: July 2023
Creator: Smith, Julie Marie
System: The UNT Digital Library
A Meta-Analysis on Effective Multimodality Teaching: 4MAT Model (open access)

A Meta-Analysis on Effective Multimodality Teaching: 4MAT Model

The study explores the effectiveness of multimodality teaching using the 4MAT Model. A meta-analysis was conducted with empirical studies on instruction via multimodality teaching in preschool, K-12, and higher education. The studies in the meta-analysis involved an experimental and control group. The control group received traditional teaching lessons, and the experimental group received multimodality teaching. A text analysis was conducted to examine the trends in the advantages of the 4MAT model versus traditional methods. The literature review analyzed the cognitive theory of multimedia learning, advances in multimedia teaching effectiveness assessment, transforming traditional teaching through the 4MAT model, 4MAT model and learning, the importance of multimodality teaching, the origin of multimodality teaching, the 4MAT model, and multimodality teaching and student achievement. This research aimed to determine a better understanding and increase learning achievement by using the 4MAT model versus traditional teaching methods.
Date: July 2023
Creator: Kairu, Caroline Wambui
System: The UNT Digital Library
Exploring the ROI of 1:1 Computing Programs at the High School Level (open access)

Exploring the ROI of 1:1 Computing Programs at the High School Level

This dissertation explored the cost and value of 1:1 computing programs in high schools in Texas. The study examines whether the total cost of ownership of these programs can be justified by the student testing gains and graduation rates. It investigates whether student learning outcomes show a definable correlation between positive gains and the implementation of 1:1 computing programs. The study also explores whether there is a measurable return on investment of 1:1 programs based on testing gains and graduation rates. The research used the State of Texas Assessment of Academic Readiness exam scores to validate assumptions and test the hypothesis. The study found no clear link between the addition of 1:1 computing programs and the realms of student success. While there is marginal improvement in student outcomes, there is only circumstantial evidence that laptops and devices are the catalysts for the change. The dissertation also found that the total cost of ownership (TCO) is a significant portion of the district's spending, costing millions of dollars, and that the financial disclosure and budget information data was either missing, incomplete, or over-generalized, causing an issue for assessing program effectiveness or ROI. Despite this lack of transparency, there is a slight positive …
Date: December 2023
Creator: Kissel, Tara Michelle
System: The UNT Digital Library