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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
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
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
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
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
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
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
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
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
Moses Kumi Asamoah; Jessica Amarteifio – Discover Education, 2025
This systematic review explores the use of Intelligent Tutoring Systems (ITS) in fostering creativity, innovation, and personalized learning experiences among university students in Ghana. The review also examines the challenges associated with the implementation of ITS, along with the ethical considerations involved. Employing an interpretive…
Descriptors: Ethics, Barriers, Intelligent Tutoring Systems, Technology Integration
Chee-Kit Looi; Fenglin Jia – Education and Information Technologies, 2025
Since the advent of chatbots enabled by Generative AI such as ChatGPT, their application in the domain of education has been linked to promises of personalizing learning (PL). Through a study of conversational interactions of graduate students with such chatbots, this paper provides an empirical study of how current ChatGPT technologies can enable…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Educational Technology
Yusuf Kiziltas – Journal of Educational Computing Research, 2025
Rapid developments in artificial intelligence can impact numerous individuals, fields, and sectors in diverse ways. ChatGPT, developed by OpenAI, is one of the prominent models of artificial intelligence. The current study aims to examine the effect of ChatGPT on the creative writing skills and writing self-efficacy of fourth-grade primary school…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Artificial Intelligence

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