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Nurassyl Kerimbayev; Karlygash Adamova; Rustam Shadiev; Zehra Altinay – Smart Learning Environments, 2025
This review was conducted in order to determine the specific role of intelligent technologies in the individual learning experience. The research work included consider articles published between 2014 and 2024, found in Web of Science, Scopus, and ERIC databases, and selected among 933 ?articles on the topic. Materials were checked for compliance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Computer Software, Databases
Liqing Qiu; Lulu Wang – IEEE Transactions on Education, 2025
In recent years, knowledge tracing (KT) within intelligent tutoring systems (ITSs) has seen rapid development. KT aims to assess a student's knowledge state based on past performance and predict the correctness of the next question. Traditional KT often treats questions with different difficulty levels of the same concept as identical…
Descriptors: Intelligent Tutoring Systems, Technology Uses in Education, Questioning Techniques, Student Evaluation
Mark Duffy; Kri Burkander; Molly Pileggi – Annenberg Institute for School Reform at Brown University, 2025
As community colleges and systems move away from developmental education and encourage students to enroll in introductory, college-level coursework to complete their math and English requirements, it is critical to provide students with additional academic supports to help them succeed. One such model is the corequisite course, a model that offers…
Descriptors: Community Colleges, Prerequisites, Required Courses, Academic Support Services
Kevin Wai Ho Yung – Modern Language Journal, 2025
The recent dynamic turn in second language acquisition research has called for an investigation in learner agency by taking its complex dynamic nature into account. Informed by complex dynamic systems theory (CDST), this study investigated the agency of learners in a complex educational context where mainstream schooling and private tutoring…
Descriptors: Systems Approach, Electronic Learning, Online Courses, Tutoring
Jionghao Lin; Mladen Rakovic; Yuheng Li; Haoran Xie; David Lang; Dragan Gaševic; Guanliang Chen – British Journal of Educational Technology, 2024
Researchers have demonstrated that dialogue-based intelligent tutoring systems (ITS) can be effective in assisting students in learning. However, little research has attempted to explore the necessity of equipping dialogue-based ITS with one of the most important capabilities of human tutors, that is, maintaining polite interactions with students,…
Descriptors: Prosocial Behavior, Tutoring, Interpersonal Communication, Pragmatics
Sang Hoon Bae; Kee Ho Choi – ECNU Review of Education, 2024
Purpose: In Korea, private tutoring is considered a social evil that damages the capacity of public schooling and undermines social justice. Although the government has implemented various policies to reduce private tutoring, ranging from improving the quality of education to providing "quasi-private tutoring" programs and regulating the…
Descriptors: Tutoring, Private Education, Foreign Countries, Educational Policy
Shalini Bhorkar – ECNU Review of Education, 2024
The relationship between private tutoring (PT) and mainstream education is among the complex themes characterizing PT discourses in the literature. This study examined the complications of practices and processes in tutoring and schooling to elucidate different roles played by PT and its relationship with mainstream education.…
Descriptors: Foreign Countries, Private Education, Tutoring, Role
Fu-Yun Yu; Chih-Wei Kuo – Journal of Research on Technology in Education, 2024
There has been an increasing interest in the development of student question-generation (SQG) systems since 2000. To offer a holistic and detailed view of extant SQG systems, a two-dimensional classification scheme was derived to identify commonly embedded ancillary functionalities and design features in the 54 SQG learning systems located through…
Descriptors: Intelligent Tutoring Systems, Holistic Approach, Questioning Techniques, Instructional Design
Yufeng Wang; Dehua Ma; Jianhua Ma; Qun Jin – IEEE Transactions on Learning Technologies, 2024
As one of the fundamental tasks in the online learning platform, interactive course recommendation (ICR) aims to maximize the long-term learning efficiency of each student, through actively exploring and exploiting the student's feedbacks, and accordingly conducting personalized course recommendation. Recently, deep reinforcement learning (DRL)…
Descriptors: Electronic Learning, Student Interests, Artificial Intelligence, Intelligent Tutoring Systems
Yoo-Jean Lee – ELT Journal, 2024
Recent attention on ChatGPT, a prominent AI language model, highlights its potential in assisting EFL writing. Although ChatGPT's capabilities involve grammar correction, vocabulary enrichment and sentence structuring, its full potential alongside human scaffolding in EFL writing classrooms remains unexplored. This study aims to fill this gap by…
Descriptors: Artificial Intelligence, English (Second Language), Writing Instruction, Collaborative Writing
Carolyn Johns – International Journal of Mathematical Education in Science and Technology, 2024
Undergraduate peer drop-in mathematics tutoring is a common form of support at the university level, yet research regarding how to train this specific group of tutors is underspecified. This paper aims to describe a training program for this population that is grounded in mathematics education research. It serves as a first step in conducting a…
Descriptors: Mathematics Teachers, Mathematics Instruction, Tutors, Undergraduate Students
Kalena Cortes; Karen Kortecamp; Susanna Loeb; Carly Robinson – National Bureau of Economic Research, 2024
This paper presents the results from a randomized controlled trial of Chapter One, an early elementary reading tutoring program that embeds part-time tutors into the classroom to provide short bursts of 1:1 instruction. Eligible kindergarten students were randomly assigned to receive supplementary tutoring during the 2021-22 school year (N=818).…
Descriptors: Kindergarten, Tutoring, Individualized Instruction, African American Students
Salman Khan; Monica Bhatt; Jonathan Guryan; Jimmy Kim – Society for Research on Educational Effectiveness, 2024
Early literacy is a key developmental milestone for succeeding in school, yet far too many children in America, particularly the most socially vulnerable, are not meeting this key milestone. For example, NAEP data from 2013 shows that over 80% of Black and Latinx students are below proficient in reading by the end of fourth grade, as compared to…
Descriptors: Grade 1, Achievement Tests, Emergent Literacy, Reading Achievement
Andrew Chang; Emily Mauer – Reading Teacher, 2024
Teaching elementary students how to read is undeniably crucial, yet a substantial number of children encounter difficulties despite early interventions. Cross-age tutoring, a pedagogical approach that pairs older students with younger peers, emerges as a cost-effective solution that brings academic and social benefits to both the tutor and the…
Descriptors: Cross Age Teaching, Tutoring, Reading Instruction, Elementary School Teachers
MacLellan, Christopher J.; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2022
Intelligent tutoring systems are effective for improving students' learning outcomes (Pane et al. 2013; Koedinger and Anderson, "International Journal of Artificial Intelligence in Education," 8, 1-14, 1997; Bowen et al. "Journal of Policy Analysis and Management," 1, 94-111 2013). However, constructing tutoring systems that…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Instructional Design