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Barahona, Elba; Padrón, Yolanda N.; Waxman, Hersh C. – European Journal of Science and Mathematics Education, 2023
A growing body of research has shown the positive effects of peer tutoring on students' academic achievement, self-concept, attitude, social, and behavioral outcomes. There is, however, a paucity of research that focuses on peer-tutoring interventions for Hispanic students. The current study examined classroom practices, as well as program…
Descriptors: Observation, Peer Teaching, Tutoring, Mathematics Education
Hajar, Anas; Sagintayeva, Aida; Izekenova, Zhanna – European Education, 2023
This quantitative study examined the scale, nature and effectiveness of private supplementary tutoring (PT) at one of the transition points in Kazakhstan's education system during the COVID-19 pandemic. The data were collected from 366 secondary school students. The findings show that 73.8% of participants received PT, mainly to help them prepare…
Descriptors: Private Education, Tutoring, Secondary School Students, Student Characteristics
Liang, Jia-Cing; Hwang, Gwo-Jen; Chen, Mei-Rong Alice; Darmawansah, Darmawansah – Interactive Learning Environments, 2023
This study explores the roles and research foci of AILEd (Artificial Intelligence in Language Education). The AILEd studies published from 1990 to 2020 in the WOS (Web of Science) database were included in the present study. Based on the well-recognized Technology-based Learning Review model, several dimensions, such as research methods, research…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, Educational Trends
Gonulal, Talip – Interactive Learning Environments, 2023
Intelligent personal assistants (IPAs), which are voice-activated agents enabling human--computer interaction, have recently been reported to be pedagogically useful agents in language learning. IPAs use various forms of humor to better communicate with users and to compensate for any performance limitations. In order to understand the IPAs' sense…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Second Language Instruction, English (Second Language)
EdChoice, 2023
This poll was conducted between February 13-14, 2023 among a sample of 2,200 adults. The interviews were conducted online and the data were weighted to approximate a target sample of adults based on gender, educational attainment, age, race, and region. Among the key findings are: (1) Support for ESAs, school vouchers, charter schools, and open…
Descriptors: Adults, Parents, Public Opinion, Opinions
Minda Tan; Shuiyun Liu – SAGE Open, 2023
Shadow education helps students become academically competitive. Currently, little is known about whether shadow education can effectively fulfill either remedial or enrichment purposes in China. Using the nationally representative data from the China Education Panel Survey (CEPS) collected in 2013 and 2014, this paper explored the opportunity gap…
Descriptors: Human Capital, Private Education, Tutoring, Socioeconomic Status
Reem Khalid Abu-Shawish – SAGE Open, 2023
This paper unpacks the factors likely to influence students' use of supplementary private tutoring in Qatar. Drawing on insights from Ajzen's theory of planned behavior (TPB), the current study seeks to understand the main predictors of private tutoring usage in the context of Qatar. This study used survey questionnaire data to ascertain key…
Descriptors: Foreign Countries, Tutoring, Private Education, Influences
Silvia García-Méndez; Francisco de Arriba-Pérez; Francisco J. González-Castaño – International Association for Development of the Information Society, 2023
Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective high-quality and continuous learning. However, despite the advances in Natural Language Processing…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Usability
Debbie Kim – Society for Research on Educational Effectiveness, 2023
Study after study has demonstrated that postsecondary success involves a range of factors from neighborhood context to family history to individual aspiration (Kim & Rifelj, 2021). Kauffman Scholars Incorporated (KSI), a post-secondary scholarship program based in Kansas City, understands these factors and has tailored its programming…
Descriptors: Postsecondary Education, Scholarship Funds, Scholarships, Academic Achievement
Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
This study was a quasi-experimental design (QED) that examined the impact of Intervene K-12 tutoring on mathematics achievement for Grade 9 ELL students identified by HPS as having experienced considerable learning disruptions as a result of the COVID-19 pandemic and having recently arrived in the United States. Achievement gains for treatment…
Descriptors: Elementary Secondary Education, Intervention, Grade 9, Mathematics Achievement
Fancsali, Stephen E.; Yudelson, Michael V.; Berman, Susan R.; Ritter, Steven – International Educational Data Mining Society, 2018
Learners in various contemporary settings (e.g., K-12 classrooms, online courses, professional/vocational training) find themselves in situations in which they have access to multiple technology-based learning platforms and often one or more non-technological resources (e.g., human instructors or on-demand human tutors). Instructors, similarly,…
Descriptors: Intelligent Tutoring Systems, Tutors, Higher Education, Online Courses
Chaudhry, Ritwick; Singh, Harvineet; Dogga, Pradeep; Saini, Shiv Kumar – International Educational Data Mining Society, 2018
Interactive learning environments facilitate learning by providing hints to fill the gaps in the understanding of a concept. Studies suggest that hints are not used optimally by learners. Either they are used unnecessarily or not used at all. It has been shown that learning outcomes can be improved by providing hints when needed. An effective…
Descriptors: Student Behavior, Prediction, Models, Intelligent Tutoring Systems
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
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
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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