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Showing 1 to 15 of 92 results Save | Export
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Danielle Kearns-Sixsmith – Mentoring & Tutoring: Partnership in Learning, 2024
Tutoring promotes student achievement, academic independence, and the reduction of anxiety. While ample studies support tutoring for enhancing student success, few address how to evaluate tutoring. This quandary led to research in building and testing a meta-model that identified the hallmarks of one-on-one high-quality online tutoring.…
Descriptors: Electronic Learning, Tutoring, Higher Education, Educational Quality
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Sha, Lele; Rakovic, Mladen; Lin, Jionghao; Guan, Quanlong; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Chen, Guanliang – IEEE Transactions on Learning Technologies, 2023
In online courses, discussion forums play a key role in enhancing student interaction with peers and instructors. Due to large enrolment sizes, instructors often struggle to respond to students in a timely manner. To address this problem, both traditional machine learning (ML) (e.g., Random Forest) and deep learning (DL) approaches have been…
Descriptors: Computer Mediated Communication, Discussion Groups, Artificial Intelligence, Intelligent Tutoring Systems
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Olalekan T. Adepoju – Writing Center Journal, 2024
This study explores the discursive practices the researcher utilizes during recurring asynchronous writing consultations to engender mutually adjusted and context-driven interactions meaningful to writers' development during virtual tutoring. While earlier studies have critiqued asynchronous tutoring for its inability to efficiently promote the…
Descriptors: Laboratories, Writing (Composition), Writing Instruction, Discourse Analysis
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Tsung-Ying Chen – Journal of Psycholinguistic Research, 2024
Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA (https://enigma-lang.org) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is…
Descriptors: Artificial Intelligence, Grammar, Computer Software, Handheld Devices
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Sirinda Palahan – IEEE Transactions on Learning Technologies, 2025
The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…
Descriptors: Programming, Computer Science Education, Artificial Intelligence, Computer Mediated Communication
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Chee-Kit Looi; Fenglin Jia – Education and Information Technologies, 2025
Since the advent of chatbots enabled by Generative AI such as ChatGPT, their application in the domain of education has been linked to promises of personalizing learning (PL). Through a study of conversational interactions of graduate students with such chatbots, this paper provides an empirical study of how current ChatGPT technologies can enable…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Educational Technology
Michael Ion – ProQuest LLC, 2024
In an era where digital platforms increasingly shape the educational experiences of learners, this dissertation examines activity in the Mathematics Discord Server (MDS), an expansive online learning community used by hundreds of thousands of mathematics learners worldwide. Daily interactions, numbering in the tens of thousands, focused on…
Descriptors: Mathematics Education, Artificial Intelligence, Natural Language Processing, Communities of Practice
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Fan Yang; Xigui Yang; Meimei Xu; Jill Stefaniak – TechTrends: Linking Research and Practice to Improve Learning, 2024
The aim of this study is to analyze how undergraduate learners seek academic help online at a public university in the United States with Q methodology. Upon completion of the study, we identified three groups of help-seekers. The first group, informal and personal help-seekers, sought help from close friends or classmates to solve problems. The…
Descriptors: Undergraduate Students, Help Seeking, Peer Influence, Instructional Materials
Qingyang Zhang; Rose E. Wang; Ana T. Ribeiro; Dorottya Demszky; Susanna Loeb – Annenberg Institute for School Reform at Brown University, 2025
Educator attention is critical for student success, yet how educators distribute their attention across students remains poorly understood due to data and methodological constraints. This study presents the first large-scale computational analysis of educator attention patterns, leveraging over 1 million educator utterances from virtual group…
Descriptors: Attention, Teacher Behavior, Equal Education, Gender Differences
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Rebecca Broadbent; Gillian Knight – NACADA Review: Academic Advising Praxis and Perspectives, 2024
In 2020, Science, Technology, Engineering and Math (STEM) faculty within a United Kingdom university implemented an online personal tutoring model. This model aimed to deliver a consistent experience to ~1000 students, supporting learning and fostering a sense of belonging during a global pandemic. Here we describe and evaluate a Curriculum…
Descriptors: STEM Education, College Faculty, Tutoring, Models
Parker, Alison – ProQuest LLC, 2022
Little was known about the experiences of K-5 online tutors. The purpose of this phenomenological study was to explore the lived experiences of online tutors regarding their pedagogical practices and digital tools used when tutoring students in Grades K-5. The community of inquiry model served as the conceptual framework. Data included online…
Descriptors: Elementary School Students, Tutoring, Educational Technology, Technology Uses in Education
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Stefan Hrastinski; Stefan Stenbom; Mohammed Saqr; Malin Jansson; Olga Viberg – Online Learning, 2023
In this article, we focus on the cognitive presence element of the Community of Inquiry (CoI) framework. Cognitive presence consists of four categories: Triggering Event, Exploration, Integration, and Resolution. These categories have been described as phases following an idealized logical sequence, although the phases should not be seen as…
Descriptors: Elementary School Students, Secondary School Students, Elementary Secondary Education, Cognitive Processes
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Huey-Min Wu; Tianjiao Yin; Yu-Jung Chan – Educational Technology Research and Development, 2025
Argumentation is fundamental and essential in mathematics education. It promotes deep mathematical understanding and helps students connect abstract ideas logically. However, teachers and students in the traditional teacher-centered classroom face difficulties teaching and learning math argumentation. In this article, a cooperative…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Computer Uses in Education, Mathematics Education
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Christina Areizaga Barbieri; Brianna L. Devlin – Journal of Computer Assisted Learning, 2024
Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…
Descriptors: STEM Education, Misconceptions, Fractions, Error Patterns
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Mary L. Hoch; Michelle Fry – i.e.: inquiry in education, 2024
During the global pandemic, teachers and students were forced to quickly adjust teaching and learning to fit in the new socially distanced world. Along with the challenge of establishing effective online teaching tools came the need to create social spaces for connecting with students through teacher-student interactions. This study followed the…
Descriptors: Computer Mediated Communication, Online Courses, Kindergarten, Literacy Education
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