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Hoffman, James V.; Svrcek, Natalie; Lammert, Catherine; Daly-Lesch, Annie; Steinitz, Erica; Greeter, Erin; DeJulio, Samuel – Journal of Literacy Research, 2019
Our goal through this literature review is to report and synthesize the findings from research into literacy tutoring and literacy mentoring in initial teacher preparation. We identified a total of 62 published articles that met our selection criteria. We identified four conceptual areas of focus to organize and represent our findings: (a) the…
Descriptors: Literacy, Tutoring, Mentors, Preservice Teachers
Ding, Xinyi; Larson, Eric C. – International Educational Data Mining Society, 2019
Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Knowledge Tracing (DKT) uses recurrent neural networks (RNNs) for knowledge tracing and has achieved significant improvements compared with models like Bayesian Knowledge Tracing (BKT) and…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Skills
Einas Bashir Albadawi; Bedrettin Yazan – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2024
In this study, we analyze interview data from 17 mothers of Arabic-English multilingual families to examine their experiences of maintaining their children's Arabic language development during the COVID-19 pandemic. We were interested in exploring the challenges they faced during the pandemic and their responses to those challenges with the…
Descriptors: Family Environment, Language Planning, Educational Policy, COVID-19
Sokunrith Pov – International Journal of Science Education, 2024
The decline of females in Science, Technology, Engineering, and Mathematics (STEM) fields has drawn global discourse among researchers and policymakers, including Cambodia. At Cambodian upper secondary schools, female students' enrolment rates in science classes dramatically decreased from 97% in 2014--42% in 2019. In contrast, female students'…
Descriptors: Foreign Countries, Females, Womens Education, STEM Education
Seongyune Choi; Yeonju Jang; Hyeoncheol Kim – Interactive Learning Environments, 2024
Intelligent Personal Assistants (IPAs) are becoming more prevalent in daily and educational contexts, increasing the possibility of using them as learning partners that can provide more personalized and learner-centric learning opportunities. However, research has primarily focused on educational advantages that IPAs may provide, overlooking…
Descriptors: Intelligent Tutoring Systems, Foreign Countries, Technology Uses in Education, Independent Study
Elif Polat; Yunus Emre Bastug; Sinan Hopcan; Simge Cepdibi Sibiç; Nazli Ceren Isikligil – Journal of Learning and Teaching in Digital Age, 2024
This study investigates the primary school teachers' perceptions towards the Intelligent Material System (IMS), which was developed to enhance the quality of inclusive environments and support the academic skills of students with Special Educational Needs (SEN). Within this scope, IMS training was conducted with 84 classroom teachers who worked at…
Descriptors: Teacher Attitudes, Elementary School Teachers, Inclusion, Special Education
Carly Robinson; Katharine Meyer; Chastity Bailey-Fakhoury; Susanna Loeb; Amirpasha Zandieh – Society for Research on Educational Effectiveness, 2024
Background/Purpose: Students enroll in college at least in part to prepare for a career after graduation. At the same time, for many students, attending college requires working to earn money (Perna, 2020). Optimally, these work positions concurrently provide students the opportunity to develop skills that have labor market returns, explore career…
Descriptors: Undergraduate Students, Tutoring, Recruitment, Employment Opportunities
Shreya Singhal; Andres Felipe Zambrano; Maciej Pankiewicz; Xiner Liu; Chelsea Porter; Ryan S. Baker – International Educational Data Mining Society, 2024
Education is increasingly taking place in learning environments mediated by technology. This transition has made it easier to collect student-generated data including comments in discussion forums and chats. Although this data is extremely valuable to researchers, it often contains sensitive information like names, locations, social media links,…
Descriptors: MOOCs, Privacy, Confidential Records, Student Records
Bowen, Bradley; Duffield, Stacy – Mentoring & Tutoring: Partnership in Learning, 2020
There is extensive research demonstrating the benefit tutoring has on the tutee. However, minimal research exists about the impact tutoring has on the tutor, and particularly, how being a tutor influences pre-service teacher development during teacher preparation. Using qualitative measures, we documented the influence participating in the…
Descriptors: Professional Identity, Tutoring, Preservice Teachers, Tutors
Hajar, Anas – British Educational Research Journal, 2020
England has experienced recent growth in the prevalence of private tutoring (PT). The qualitative study reported in this article aims to explore the perceptions of 14 Year 6 pupils and their teachers from three state-maintained primary schools in East Kent on PT participation and its impact on grammar school admissions. Data were collected through…
Descriptors: Foreign Countries, Private Education, Tutoring, Tutors
Dang, Steven C.; Koedinger, Kenneth R. – International Educational Data Mining Society, 2020
Effective teachers recognize the importance of transitioning students into learning activities for the day and accounting for the natural drift of student attention while creating lesson plans. In this work, we analyze temporal patterns of gaming behaviors during work on an intelligent tutoring system with a broader goal of detecting temporal…
Descriptors: Learner Engagement, Intelligent Tutoring Systems, Student Behavior, Student Motivation
Susin, Catherine; Gallagher, Tiffany L. – Mentoring & Tutoring: Partnership in Learning, 2023
This survey-design study examined how 228 middle school preservice teachers perceived the implementation of digital and digital multimodal texts during course-required, mentored, tutoring sessions delivered in face-to-face and online settings prior to, during and toward the end of the COVID-19 pandemic. Tutors were able to recognize that texts…
Descriptors: Tutoring, Pandemics, COVID-19, Mentors
Mangera, Elisabet; Supratno, Haris; Suyatno – Pegem Journal of Education and Instruction, 2023
This studied focus on the relationship between transhumanist and artificial intelligence in the Education Context; Particularly Teaching and Learning Process at private university in Makassar, South Sulawesi, Indonesia. Anchored by a qualitative analysis and participated by five teachers, the data were analyzed in-depth interview. It was designed…
Descriptors: Humanism, Artificial Intelligence, Learning Processes, Postsecondary Education
Wan, Haipeng; Yu, Shengquan – Interactive Learning Environments, 2023
Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Mapping
Nevill, Thomas; Savage, Glenn C.; Forsey, Martin – British Journal of Sociology of Education, 2023
A considerable body of sociological literature has examined the role that education plays in the ongoing reproduction of class-based inequalities. However, there is a relative lack of research that has focused on the reproduction of inequalities linked to the combined influences of disability and social class. Based on a qualitative study of 19…
Descriptors: Disabilities, Advocacy, Dyslexia, Role of Education

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