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Luiz Rodrigues; Filipe Dwan Pereira; Marcelo Marinho; Valmir Macario; Ig Ibert Bittencourt; Seiji Isotani; Diego Dermeval; Rafael Mello – Education and Information Technologies, 2024
Intelligent Tutoring Systems (ITS) have been widely used to enhance math learning, wherein teacher's involvement is prominent to achieve their full potential. Usually, ITSs depend on direct interaction between the students and a computer. Recently, researchers started exploring handwritten input (e.g., from paper sheets) aiming to provide…
Descriptors: Intelligent Tutoring Systems, Handwriting, Equal Education, Access to Education
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Andres Neyem; Luis A. Gonzalez; Marcelo Mendoza; Juan Pablo Sandoval Alcocer; Leonardo Centellas; Carlos Paredes – IEEE Transactions on Learning Technologies, 2024
Software assistants have significantly impacted software development for both practitioners and students, particularly in capstone projects. The effectiveness of these tools varies based on their knowledge sources; assistants with localized domain-specific knowledge may have limitations, while tools, such as ChatGPT, using broad datasets, might…
Descriptors: Computer Software, Artificial Intelligence, Intelligent Tutoring Systems, Capstone Experiences
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John Elwood Romig; Ashley Jetton – Journal of Special Education Technology, 2024
Repeated reading is an intervention with strong evidence for improving students' oral reading fluency. However, little research has examined the use of this intervention outside of traditional school contexts. School closures due to COVID-19 forced schools and teacher preparation programs to create new approaches to evidence-based reading…
Descriptors: Reading Instruction, Repetition, Intervention, COVID-19
Tonya Stewart-Magee – ProQuest LLC, 2024
This quantitative, causal-comparative study aims to examine the academic performance of all third-grade students who participated in after-school tutoring from English Language Arts (ELA) in comparison to those who did not, using the results from the 2022-2023 Mississippi Academic Assessment Program English Language Arts (MAAP ELA) assessment. The…
Descriptors: Grade 3, Elementary School Students, Tutoring, Language Arts
Mark Duffy; Kri Burkander – Annenberg Institute for School Reform at Brown University, 2024
Drawing on qualitative data collected in a sample of colleges as part of a larger study on the implementation and impact of Assembly Bill 705 in California, this paper explores the rollout of corequisite reforms, focusing on the use of embedded tutors in introductory math and English courses as a strategy to meet to the needs of students. This…
Descriptors: Community Colleges, Community College Students, Tutoring, Mathematics Instruction
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Robin S. Codding; Amanda VanDerHeyden; Reina Chehayeb – Remedial and Special Education, 2024
This study extends prior research by manipulating both intervention and skill difficulty using a multiple baseline across participants design with changing phases in a virtual tutoring environment. Participants were four U.S. students from third and fifth grades for whom appropriate and challenging instructional targets were selected following…
Descriptors: Mathematics Instruction, Data Use, Teaching Methods, Intervention
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Prerna Sihag; Vibha – Digital Education Review, 2024
India's growing economy and population proves its significant stake in the Artificial Intelligence (AI) revolution. India's education and technology sector has grown exponentially over the last few years, particularly in times of COVID-19 pandemic but owing to various reasons, it is accessible to only one in four students in India. AI has proven…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Giavrimis Panagiotis – International Journal of Educational Reform, 2025
The main purpose of this research was to investigate the phenomenon of shadow education in Greece. In this research, the quantitative research method is combined with the qualitative method. The results showed that the liberalization of education during the recent decades was accurately implemented in the institution of shadow education. Knowledge…
Descriptors: Foreign Countries, Tutoring, Private Education, Public Education
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Garret J. Hall; Peter M. Nelson; David C. Parker – Journal of Learning Disabilities, 2025
School context can shape relative intervention response in myriad ways due to factors, such as instructional quality, resource allocation, peer effects, and correlations between the school context and characteristics of enrolled students (e.g., higher-poverty students attending higher-poverty schools). In the current study, we used data from…
Descriptors: Educational Environment, Reading Achievement, Intervention, Reading Instruction
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Anne Barwasser; Janine Bracht; Bastian Lenz; Isabel Gürçay; Susanne Hoff; Matthias Grünke – Reading and Writing: An Interdisciplinary Journal, 2025
Reading and writing are enormously valuable, influencing every area of life beyond school. However, reading and writing difficulties are on the rise, especially among second-language students. The primary objective of this study is to design a classroom intervention that simultaneously promotes reading and writing and is easy to implement. In a…
Descriptors: Peer Teaching, Tutoring, Intervention, Reading Instruction
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Anas Hajar; Mehmet Karakus – British Journal of Sociology of Education, 2025
This mixed-methods study is the first to examine schoolteachers' perceptions and experiences of fee-based private tutoring in Kazakhstan. Data from 952 teachers using a close-ended questionnaire and 60 semi-structured interviews revealed that 39.6% of participants eng­aged in tutoring, primarily driven by financial necessity and professional…
Descriptors: Foreign Countries, Educational Change, Teacher Attitudes, Tutoring
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Sirinda Palahan – IEEE Transactions on Learning Technologies, 2025
The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…
Descriptors: Programming, Computer Science Education, Artificial Intelligence, Computer Mediated Communication
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Liang Zhang; Jionghao Lin; John Sabatini; Conrad Borchers; Daniel Weitekamp; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser – IEEE Transactions on Learning Technologies, 2025
Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be highly sparse (80%90% missing observations) in most real-world applications. This data…
Descriptors: Artificial Intelligence, Academic Achievement, Data, Evaluation Methods
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Yung-Chuan Lee – Asia-Pacific Education Researcher, 2025
The aim of this study was to explore how first-time problem-based learning (PBL) participants can improve their learning outcomes. Empirical results showed that students with higher academic performance and attendance rates significantly enhanced their critical thinking and problem-solving skills through PBL compared to traditional lecture-based…
Descriptors: Undergraduate Students, Money Management, Financial Education, Problem Based Learning
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Anna Hawrot; Lena Nusser – Scandinavian Journal of Educational Research, 2025
This study investigated whether various aspects of the home learning environment -- that is, learning-related processes, parental perceptions of their child, and structural characteristics -- predicted private tutoring attendance in Grade 8. We used the data of 7393 students from the German National Educational Panel Study. Seventeen percent of…
Descriptors: Family Environment, Educational Environment, Tutoring, Private Education
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