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Mohammed Airaj – Education and Information Technologies, 2024
This paper proposes a human-centered approach to using Artificial Intelligence (AI) in higher education that promotes equitable access to knowledge while preserving privacy and ethics. Through the lens of third-generation Activity Theory we examine the interaction between three activity systems in higher education: AI teachers, human teachers, and…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Higher Education
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Yue Zhang; Guangxiang Liu – Computer Assisted Language Learning, 2024
Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
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Mariel Miller; Safoura Askari – OTESSA Journal, 2024
The ability to collaborate online is an essential skill that allows learners to bring together diverse perspectives to deepen understanding regardless of physical location. As online learning and hybrid workplaces have become more prevalent since the COVID-19 global pandemic, the critical nature of this skill has become particularly relevant for…
Descriptors: Test Construction, Undergraduate Students, Computer Mediated Communication, Cooperative Learning
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Muh. Fitrah; Anastasia Sofroniou; Ofianto; Loso Judijanto; Widihastuti – Journal of Education and e-Learning Research, 2024
This research uses Rasch model analysis to identify the reliability and separation index of an integrated mathematics test instrument with a cultural architecture structure in measuring students' mathematical thinking abilities. The study involved 357 students from six eighth-grade public junior high schools in Bima. The selection of schools was…
Descriptors: Mathematics Tests, Item Response Theory, Test Reliability, Indexes
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Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics
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Hannes Rall; Emma Harper – Pedagogies: An International Journal, 2024
Our paper seeks to investigate how mediation using emerging technologies can increase student engagement within the context of teaching English Literature in Singapore. Through a discussion of our ongoing project to create an adaptation of Shakespeare's "Pericles, Prince of Tyre" as an animated game in virtual reality, we focus upon the…
Descriptors: Teaching Methods, Game Based Learning, English Literature, Computer Games
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Rudy Brass; Ebunoluwa Braithwaite; Hope E. Edwards; Jasleen Kaur; Anna Kleanthous; Toby T. Madhlangobe; Anand D. Mistry; Ared Suma; Shane Lo Fan Hin; Dylan P. Williams – Journal of Chemical Education, 2024
The gamification of learning has increased in popularity in recent years as a tool for enhancing student engagement and attainment. In undergraduate chemistry courses, hybridization is a fundamental concept that students need to master in order to understand introductory organic and inorganic topics. This study focused on the development of a card…
Descriptors: Science Instruction, Teaching Methods, Introductory Courses, Organic Chemistry
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Yeojoo Yoon; Pool Ip Dong – Journal of Early Childhood Literacy, 2024
This study explores the captivating world of toy unboxing videos as a space for emergent bilingual children to engage in translanguaging practices. Through the lens of translanguaging, which encourages the unrestricted use of full linguistic repertoires, this research examines the experiences of two five-year-old immigrant and emergent bilingual…
Descriptors: Play, Bilingualism, Toys, Second Language Learning
Rupa Sinha-Dutta – ProQuest LLC, 2024
Purpose: The purpose of this phenomenological study was to explore freshmen community college students' lived experiences as 10th-grade students in the 2020-2021 school year during online math learning. Positive experiences in math learning increase math success. Negative experiences in math learning decrease math success, leading to avoidance of…
Descriptors: Mathematics Instruction, Grade 10, Community College Students, Online Courses
Ishita Pradhan – ProQuest LLC, 2024
Caste-based discrimination persists as a formidable barrier within Indian higher education, compelling Dalit students to employ university spaces not only for learning but as arenas for activism and social change. This dissertation explores the agency of Dalit students as they confront and dismantle systemic inequalities through strategic…
Descriptors: Foreign Countries, Social Class, Higher Education, Activism
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Zixi Li; Curtis J. Bonk; Meina Zhu – Online Learning, 2024
This exploratory qualitative study investigates the obstacles, local support, and learning outcomes for adolescent learners in Nepal taking massive open online courses (MOOCs). A convenience sampling method was employed, and a total of thirteen individual interviews were conducted with K-12 Nepali students. Utilizing thematic analysis, this study…
Descriptors: MOOCs, Adolescents, Foreign Countries, Outcomes of Education
Joseph T. Wong – ProQuest LLC, 2024
My dissertation examines undergraduates' online learning experiences during the COVID-19 pandemic through three distinct studies. The primary goal of my dissertation is to shed light on crucial aspects of social cognitive learning theories and learning experience design (LXD) applied in distance learning. These studies, using an LXD approach…
Descriptors: Undergraduate Study, Electronic Learning, Teaching Methods, Learning Processes
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Yanxia Yang – Education and Information Technologies, 2024
The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…
Descriptors: Translation, Computational Linguistics, Learning Processes, English (Second Language)
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Danhua Zhou – Interactive Learning Environments, 2024
Online scientific argumentation activities have significant value for students' cognitive ability. The purpose of this study was to solve the issues of online scientific argumentation. Firstly, the influences of online scientific argumentation were classified into "Learn to Argue" and "Argue to Learn" abilities. And then the…
Descriptors: Meta Analysis, Instructional Design, Instructional Effectiveness, Electronic Learning
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Fahad Saleem Al-Hafdi; Sameer Mosa AlNajdi – Education and Information Technologies, 2024
During the last few years, the popularity of chatbots has risen and grown exponentially with the increase in demand for smartphones and messaging applications. Chatbots can be utilized in education by providing information about educational content, communication, and assistance, enhancing classroom participation, and facilitating collaborative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Instructional Effectiveness, Learning Processes
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