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Heri Mudra – Journal of Learning for Development, 2025
This study investigated English-as-a-Foreign-Language (EFL) learners' preferences, activities, rationales, and barriers in utilising mobile technologies within pre-class sessions in a flipped learning context. A total of 279 university EFL learners participated in a closed and open-ended survey study. The findings revealed that learners preferred…
Descriptors: English (Second Language), Second Language Learning, College Students, Electronic Learning
Chung, HeeJae; Chaney, Lauren E.; Fong, Carlton J. – Journal of College Academic Support Programs, 2020
The mission of most writing centers is to cultivate effective and independent writers. However, in sessions with students from culturally and linguistically diverse backgrounds, tutors tend to make direct edits on their writing products despite writing center policies that discourage such practices and encourage process-oriented writing…
Descriptors: Personal Autonomy, Tutoring, Bilingual Students, Writing (Composition)
VanLehn, Kurt; Banerjee, Chandrani; Milner, Fabio; Wetzel, Jon – International Journal of Artificial Intelligence in Education, 2020
An algebraic model uses a set of algebra equations to precisely describe a situation. Constructing such models is a fundamental skill required by US standards for both math and science. It is usually taught with algebra word problems. However, many students still lack the skill, even after taking several algebra courses in high school and college.…
Descriptors: Mathematics Instruction, Algebra, Mathematical Models, Equations (Mathematics)
Di Rienzo, Paolo – Education Sciences, 2020
The third sector represents a vast and heterogeneous universe that has a key role in society from both the social and civil points of view. It also represents an informal learning context where competence and knowledge are acquired, often in a tacit and indirect way. This research focuses on the key competences of the third sector professionals…
Descriptors: Informal Education, Adult Learning, Competence, Professional Development
Sheehan, Kathleen M.; Napolitano, Diane – Journal of Educational Computing Research, 2020
Personalized learning technologies such as automated reading tutors have been proposed as a way to help struggling readers acquire needed skills while simultaneously encouraging engaged, sustained reading of entire books. This article investigates a key step in the development of such technologies: translating an entire novel into a sequence of…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Reading Instruction, Reliability
Exley, Sonia – Comparative Education, 2020
The notion of selecting students based on academic achievement into different schools at certain points in their educational careers is one that has long been contested in education. In this paper I consider the role selective schooling may play in driving families' demand for private tutoring -- a phenomenon currently growing in many regions of…
Descriptors: Foreign Countries, Selective Admission, Private Education, Tutoring
Foundation for Excellence in Education (ExcelinEd), 2020
At the height of the COVID-19 pandemic, more than 1.5 billion children around the world were displaced from their brick and mortar classrooms. In response, some school districts were able to seamlessly transition to remote learning, while others were hindered by a lack of digital devices and broadband Internet access for their students. Resulting…
Descriptors: Tutors, Tutoring, COVID-19, Pandemics
Efremov, Aleksandr; Ghosh, Ahana; Singla, Adish – International Educational Data Mining Society, 2020
Intelligent tutoring systems for programming education can support students by providing personalized feedback when a student is stuck in a coding task. We study the problem of designing a hint policy to provide a next-step hint to students from their current partial solution, e.g., which line of code should be edited next. The state of the art…
Descriptors: Intelligent Tutoring Systems, Feedback (Response), Computer Science Education, Artificial Intelligence
Chatterjee, Chirantan; Hanushek, Eric A.; Mahendiran, Shreekanth – National Bureau of Economic Research, 2020
India took a decisive step towards universal basic education by proclaiming a constitutionally-guaranteed Right to Education (RTE) Act in 2009 that called for full access of children aged 6-14 to free schooling. This paper considers the offsetting effects to RTE from induced expansion of private tutoring in the educationally competitive districts…
Descriptors: Foreign Countries, Access to Education, Civil Rights, Private Education
Barwasser, Anne; Urton, Karolina; Grünke, Matthias; Sperling, Marko; Coker, David L. – Reading and Writing: An Interdisciplinary Journal, 2022
Automation of frequently used words is a key component in the development of reading fluency. However, acquiring fast word recognition skills is a serious challenge for many children in their early years of formal education. Lagging word recognition leads to general reading problems, as fluency is a vital prerequisite for text comprehension.…
Descriptors: Grade 3, Elementary School Students, Peer Teaching, Tutoring
Guillén-Gámez, Francisco D.; Linde-Valenzuela, Teresa; Ramos, Marta; Mayorga-Fernandez, María J. – Research and Practice in Technology Enhanced Learning, 2022
In the current socio-health situation, new educational challenges have emerged, such as the need to implement a virtual tutorial action. Therefore, this study has three objectives: (1) to investigate the level of digital competence that early childhood and primary school teachers possess to carry out quality online tutorial actions; (2) to analyse…
Descriptors: Predictor Variables, Technological Literacy, Early Childhood Teachers, Elementary School Teachers
Türkan, Azmi – International Journal of Progressive Education, 2022
Getting insufficient efficiency from the educational system can lead individuals to supplementary tutoring such as private tutoring. Due to the fact that private tutoring is taking more part in our lives day by day and that the COVID-19 pandemic can lead individuals to private tutoring, the purpose of this study is to; longitudinally identify how…
Descriptors: COVID-19, Pandemics, Tutoring, High School Students
Cody, Christa; Maniktala, Mehak; Lytle, Nicholas; Chi, Min; Barnes, Tiffany – International Journal of Artificial Intelligence in Education, 2022
Research has shown assistance can provide many benefits to novices lacking the mental models needed for problem solving in a new domain. However, varying approaches to assistance, such as subgoals and next-step hints, have been implemented with mixed results. Next-Step hints are common in data-driven tutors due to their straightforward generation…
Descriptors: Comparative Analysis, Prior Learning, Intelligent Tutoring Systems, Problem Solving
Manasse, Mark; Rostworowski, Carolina – Journal of College Academic Support Programs, 2022
COVID-19 created unplanned, fully remote educational spaces. One California community college tutor training program augmented their tutor training practices to pivot to meet the needs of students now confronted with fully online learning. Using a mixed-methodology approach (e.g., survey and focus groups/individual interviews) over the course of…
Descriptors: COVID-19, Pandemics, Online Courses, Two Year College Students
Hord, Casey; DeJarnette, Anna F. – Learning Disabilities: A Contemporary Journal, 2022
The authors describe how professors can work with schools (teachers and/ or administrators) to create and implement a tutoring program designed to promote the learning of Algebra 1 by students with learning disabilities as well as provide a learning experience for undergraduates majoring in special education. From the professors' perspective, we…
Descriptors: College Faculty, Faculty College Relationship, Tutoring, Academic Support Services

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