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Michela Carlana; Eliana La Ferrara – National Bureau of Economic Research, 2024
We study the Tutoring Online Program (TOP), where: (i) tutoring is entirely online; (ii) tutors are volunteer university students, matched with underprivileged middle school students. We leverage random assignment to estimate effects during and after the pandemic (2020 and 2022), investigating channels of impact. Three hours of individual tutoring…
Descriptors: Tutoring, Computer Mediated Communication, College Students, Middle School Students
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Cheng Ching Ho – Online Learning, 2024
Artificial intelligence (AI) tools have become a popular topic in the education field. Most of the schools in Hong Kong focus on how to properly use AI software to help students' learning experience. As this is still a relatively new technology, the stance for most of the schools in Hong Kong is skeptical. This study aims to find out whether…
Descriptors: Artificial Intelligence, Writing Ability, Technology Uses in Education, Foreign Countries
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Claudia De Barros Camargo; Antonio Hernández Fernández – Educational Process: International Journal, 2024
Background/Purpose: This study investigates the integration of neuropedagogy, neuroimaging, artificial intelligence (AI), and deep learning in educational systems. The research aims to elucidate how these technologies can be synergistically applied to optimize learning processes based on individual neurocognitive profiles, thereby enhancing…
Descriptors: Artificial Intelligence, Educational Practices, Intelligent Tutoring Systems, Neurosciences
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Kevin Wai Ho Yung; Shu Fai Philip Wong – Language Learning Journal, 2024
With a focus on the neglected 'L2 learning experience' component in Dörnyei's L2 Motivational Self System (L2MSS), this study investigated secondary students' L2 motivation in the context of online English private tutoring (EPT). Through narrative inquiry, students narrated their EPT experience online and reflected on it in comparison with that in…
Descriptors: Second Language Learning, Student Motivation, Student Experience, Electronic Learning
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Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
Intelligent Personal Assistant (IPA) has emerged as a valuable tool for EFL learning by offering interactive authentic contexts. Although IPA is believed to be motivational and useful, empirical evidence is limited and contradictory, especially the efficacy of listening comprehension. Therefore, the study investigated the impact of IPA on…
Descriptors: English (Second Language), English Language Learners, Adolescents, Listening Comprehension
Maria V. Carbonari; Anna McDonald; Michael DeArmond; Andrew McEachin; Daniel Dewey; Emily Morton; Elise Dizon-Ross; Atsuko Muroga; Dan Goldhaber; Alejandra Salazar; Thomas J. Kane; Douglas O. Staiger – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
The COVID-19 pandemic devastated student achievement, with declines rivaling those after Hurricane Katrina. These losses widened achievement gaps between historically marginalized students and their peers. Three years later, achievement remains behind pre-pandemic levels for many students. This paper examines 2022-23 academic recovery efforts…
Descriptors: Elementary Secondary Education, Federal Aid, Grants, Emergency Programs
Drametrice T. Smith – ProQuest LLC, 2024
Student athletes often enter college unprepared for academic rigor, making them particularly vulnerable in terms of academic success. At a faith-based university in the southeast United States, low retention of student athletes results from poor class attendance, course failures, and low grade point averages. The purpose of this basic qualitative…
Descriptors: Males, Student Athletes, At Risk Students, School Holding Power
Matthew A. Kraft; Danielle Sanderson Edwards; Marisa Cannata – Annenberg Institute for School Reform at Brown University, 2024
Public school systems across the U.S. have made major investments in tutoring to support students' academic recovery in the wake of the COVID-19 pandemic. We evaluate a large urban district's efforts to design, implement, and scale a district-operated, standards-based tutoring program across three years. We draw on extensive interviews and survey…
Descriptors: Public Schools, COVID-19, Pandemics, Tutorial Programs
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Yang An; Yushi Duan; Yuchen Zhang – International Journal of Information and Communication Technology Education, 2024
Higher education informatization (HEI) is an interdisciplinary field that examines the use and integration of information and communication technologies (ICTs) in higher education. This paper provides a bibliometric and visual analysis of the research trends, patterns, and topics in this field. Using the Web of Science database, the authors…
Descriptors: Bibliometrics, Educational Research, Higher Education, Information Technology
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Schwartzman, Roy; Ferraro, Brianna – Education, 2020
With an estimated 11 percent of all undergraduate students (at least two million) having a disability and the numbers of such students increasing (National Council on Disability, 2015), oral communication tutoring centers face an escalating imperative to account for this population in their instructional practices. The Multidimensional Attitudes…
Descriptors: Undergraduate Students, Students with Disabilities, Speech Communication, Academic Support Services
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Maniktala, Mehak; Cody, Christa; Isvik, Amy; Lytle, Nicholas; Chi, Min; Barnes, Tiffany – Journal of Educational Data Mining, 2020
Determining "when" and "whether" to provide personalized support is a well-known challenge called the assistance dilemma. A core problem in solving the assistance dilemma is the need to discover when students are unproductive so that the tutor can intervene. Such a task is particularly challenging for open-ended domains, even…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Helping Relationship, Prediction
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Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
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Kobakhidze, Magda Nutsa – Globalisation, Societies and Education, 2020
This study focuses on the changed roles and symbolic identities of Myanmar teachers under the forces of marketisation and the privatisation of education. Private tutoring by school teachers is used as an example of what society perceives to be the incursion into education of market-oriented values that are incompatible with traditional morals. The…
Descriptors: Teacher Role, Professional Identity, Privatization, Tutoring
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Briant, Elizabeth; Doherty, Catherine; Dooley, Karen; English, Rebecca – Pedagogy, Culture and Society, 2020
Australia's private tutoring market is expanding in a context where parents' trust in school personnel as educational experts is vulnerable. Simultaneously, a parentocratic logic is nudging parents to infuse the resources at their disposal into their pedagogic work in order to achieve the educational outcomes that they wish for their children.…
Descriptors: Parent Attitudes, Advertising, Tutoring, Private Education
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Dooley, Karen; Liu, Liwei Livia; Yin, Yue Melody – Discourse: Studies in the Cultural Politics of Education, 2020
This article reports a study of the supply of private supplementary tuition in literacy for primary school students. The data set consisted of websites and advertisements of 46 suppliers active in an area of suburban Australia with a substantial population of migrants from East Asia. To conceptualise the supply of private tuition as edu-business,…
Descriptors: Foreign Countries, Private Education, Tutoring, Supplementary Education
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