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Kromminga, Kourtney R.; Codding, Robin S. – Psychology in the Schools, 2024
While an abundance of evidence-based mathematics interventions are available to support students' mathematics fluency, research suggests that they are not often implemented within schools. Moreover, national data suggests that most students in the United States are not meeting grade level expectations in mathematics. This underperformance coupled…
Descriptors: Intervention, Instructional Effectiveness, Teaching Methods, Multiplication
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
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
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
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
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
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
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
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
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
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
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
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
Ling Zhang; Zijun Yao; Arya Hadizadeh Moghaddam – Journal of Teacher Education, 2025
Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Faculty Development