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Susan L. Nacy – ProQuest LLC, 2024
Rapidly increasing demand for online graduate education in our globalized, post-pandemic, "flat" (Freidman 2007), digital age has coalesced globally dispersed and culturally diverse learners into virtual classrooms, amplifying a multiplicity of voices. Social learning theory (Bandura 1977) emphasizes that knowledge is constructed between…
Descriptors: Teacher Attitudes, Culturally Relevant Education, Online Courses, Graduate Study
Melinda Conley – ProQuest LLC, 2024
Along with the growing popularity of online studies, colleges and universities have seen an increasing number of multicultural students. The intersectionality of these two phenomena, online learning, and multicultural higher education students, was the focus of this study. This study was a descriptive research design using a case study approach.…
Descriptors: Cultural Pluralism, Higher Education, Online Courses, Electronic Learning
Waqas Khan; Saira Sohail; Muhammad Azam Roomi; Qasim Ali Nisar; Muhammad Rafiq – Education and Information Technologies, 2024
This study highlighted the role played by digitalization elements, such as information and communication technology (ICT) adoption, the social internet of things (IoT), and artificial intelligence (AI), in e-learning systems. It also examined the mediating role of digital literacy (DL) and pedagogical digital competence (PDC) and the potential…
Descriptors: Foreign Countries, Educational Technology, Artificial Intelligence, Technology Integration
Hunter Michael Craig – ProQuest LLC, 2024
The threat of climate change makes it increasingly important for biologists and the public to understand how organisms respond to temperature. The Metabolic Theory of Ecology (MTE) predicts that temperature should affect organism performance, with implications for species interactions and ecosystems that span disciplines including mathematics,…
Descriptors: Climate, Metabolism, Animals, Science Laboratories
Yihe Zhang – ProQuest LLC, 2024
Machine learning (ML) techniques have been successfully applied to a wide array of applications. This dissertation aims to take application data handling into account when developing ML-based solutions for real-world problems through a holistic framework. To demonstrate the generality of our framework, we consider two real-world applications: spam…
Descriptors: Artificial Intelligence, Problem Solving, Social Media, Computer Mediated Communication
Shan Li; Xiaoshan Huang; Lijia Lin; Fu Chen – British Journal of Educational Technology, 2024
Upvotes serve important purposes in online social annotation environments. However, limited studies have explored the influential factors affecting peer upvoting in online collaborative learning. In this study, we analysed the factors influencing students' upvotes received from their peers as 91 participants utilized Perusall, an online social…
Descriptors: Documentation, Internet, Computer Mediated Communication, Peer Relationship
Milos Ilic; Goran Kekovic; Vladimir Mikic; Katerina Mangaroska; Lazar Kopanja; Boban Vesin – IEEE Transactions on Learning Technologies, 2024
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…
Descriptors: Artificial Intelligence, Academic Achievement, Prediction, Programming
Miso Kwak – AERA Online Paper Repository, 2024
The field of education research has often neglected the expertise and voices of disabled students (Connor, 2008; Mueller, 2019). This paper outlines the potential of podcasting as a research methodology that challenges the status quo and facilitates inclusion of disabled students in conducting education research. The ways in which podcasting…
Descriptors: Students with Disabilities, Handheld Devices, Audio Equipment, Information Dissemination
Kathy A. Mills; Katherine Doyle; Lesley Friend – Journal of Language, Identity, and Education, 2025
Indigenous language rights and identity practices are marginalised in education, bringing a need for mainstream educators to understand and respect Indigenous ways of knowing, being, and sharing knowledge. Engaging elementary students (ages 4.5 to 12 years), the cross-cultural participatory research was conducted for three years to understand…
Descriptors: Indigenous Knowledge, Elementary School Students, Learner Engagement, Power Structure
Catherine M. Gayman; Stephanie T. Jimenez; Jennifer Herron – Teaching of Psychology, 2026
Background: Although substantial empirical evidence supports interteaching, few studies have investigated the clarifying lecture component, and none have evaluated it in an online course format. Objective: This study evaluated the necessity of a clarifying lecture in an asynchronous online course and compared a clarifying lecture (based on student…
Descriptors: Discussion Groups, Undergraduate Students, Asynchronous Communication, Computer Mediated Communication
Hall, Naomi M.; Jones, Jason M. – American Journal of Distance Education, 2023
The use of student-generated podcasts in undergraduate education is a way to promote engagement, cognition, learning, and creativity in experiential learning opportunities. Studies often focus on students using podcasts created by others as learning tools to augment textbook information. However, this study focuses on student-generated podcasts as…
Descriptors: Nontraditional Students, College Students, Teaching Methods, Audio Equipment
Hector Serrato Giron – ProQuest LLC, 2023
The COVID-19 pandemic has caused diverse social, economic, and political challenges. The particular challenge that was the focus of this study is the upsurge in electronic use and consequent upsurge in electronic waste. This was caused by the implementation of online instructional delivery processes during COVID-19 (Ermakova, 2021), the switch to…
Descriptors: School Districts, COVID-19, Pandemics, Electronics
Yao, Shu-Nung; Liang, Chaoyun – IEEE Transactions on Learning Technologies, 2023
Image processing-based augmented reality (AR) is widely used in several fields. However, audio content is also crucial in certain cases, for example, focusing on appreciating artwork in a museum, rather than a virtually synthesized image. In this study, an attempt was made to provide ubiquitous learning (u-learning) services by using audio AR for…
Descriptors: Computer Simulation, Electronic Learning, Audio Equipment, Educational Technology
Bellarhmouch, Youssra; Jeghal, Adil; Tairi, Hamid; Benjelloun, Nadia – Education and Information Technologies, 2023
Nowadays, the need for e-learning is amplified, especially after the COVID-19 pandemic. E-learning platforms present a solution for the continuity of the learning process. Learners are using different platforms and tools for learning. For this, it is necessary to model the learner for the personalization of the learning environment according to…
Descriptors: Electronic Learning, Educational Environment, Models, Individualized Instruction
Özbey, Muhammed; Kayri, Murat – Education and Information Technologies, 2023
In this study, the factors affecting the transactional distance levels of university students who continue their courses with distance education in the 2020-2021 academic years due to the COVID pandemic process were examined. Factors that affect transactional distance are modeled with Artificial Neural Networks, one of the data mining methods.…
Descriptors: College Students, Distance Education, Electronic Learning, Anxiety

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