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George G. Toman – ProQuest LLC, 2024
The Conservative Dual Criteria (CDC) method is known to improve decision-making accuracy in users when interpreting graphed data. The effectiveness of this method with in-service special education teachers, however, has not been investigated. The present study examined the effects of a virtual training package designed to improve the data-based…
Descriptors: Skill Development, Special Education Teachers, Inspection, Decision Making Skills
Karen Dan Wang – ProQuest LLC, 2023
Digital learning environments are becoming increasingly ubiquitous as a wide range of EdTech products and services enter classrooms and households across the globe. One salient attribute of these environments is their capacity to generate large amounts of data as students interact with the technology. These data logs can help construct a detailed…
Descriptors: Educational Technology, Electronic Learning, Data Collection, Problem Solving
Marco D'Alessio – ProQuest LLC, 2024
Learning designers face challenges integrating learning analytics (LA) when designing learner-content interactions in corporate online education. The quality of the learning design directly affects learners' engagement and impacts the transfer of learning at work. This qualitative study aimed to explore the perspectives of experienced learning…
Descriptors: Curriculum Design, Attitudes, Learning Analytics, Data Use
Asmita Thakore – ProQuest LLC, 2021
The problem addressed in this study is that the potential roles of an artificial intelligence-enhanced chatbot using big data in e-learning in higher education were not widely documented in the research community. The purpose of this qualitative case study was to explore the potential roles of an artificial intelligence-enhanced chatbot using big…
Descriptors: Artificial Intelligence, Data, Synchronous Communication, Computer Software
Daniel J. Berger – ProQuest LLC, 2022
This dissertation consists of three papers. Online Learning, Offline Outcomes: Online Course Taking and High School Student Performance. This paper uses fixed effects models to estimate differences in contemporaneous and downstream academic outcomes for students who take courses virtually and face-to-face, both for initial attempts and for…
Descriptors: Instructional Improvement, Teaching Methods, Electronic Learning, Outcomes of Education
Varun Mandalapu – ProQuest LLC, 2021
Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…
Descriptors: Models, Student Behavior, Learning Management Systems, Data Use
Danielle Christine Wysenski – ProQuest LLC, 2021
English learners (ELs) make up a significant portion of the nation's K-12 student population who come from culturally and linguistically diverse backgrounds. ELs bring a wealth of diversity to the United States' education system; however, teachers' limited knowledge and practices that integrate ELs' cultural, linguistic, and prior educational…
Descriptors: Electronic Learning, Faculty Development, Reading Instruction, English Learners
Na Sun – ProQuest LLC, 2019
With the advancement of technology, more and more degree programs are available in the form of online education. Despite its top ranking in online bachelor's degree programs, Pennsylvania State University's World Campus presents a variety of challenges and opportunities related to students' experiences, feelings, and operation as a…
Descriptors: Distance Education, Electronic Learning, Online Courses, Educational Environment