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Jansen, Daury; Elffers, Louise; Volman, Monique – Cambridge Journal of Education, 2022
Over the past two decades, as in many countries, the use of private tutoring ('shadow education') has increased substantially in the Netherlands. Educators and policy makers are raising questions regarding the role that shadow education may play in relation to the traditional configuration of the home and school being assigned the responsibility…
Descriptors: Tutoring, Private Education, Foreign Countries, Educational Responsibility
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Yu, Jiangran; Zhang, Rui – Science Insights Education Frontiers, 2022
At the moment, shadow education is undergoing a rapid global expansion and has garnered widespread attention from a variety of sectors of society. After reviewing a substantial body of literature on after-school tutoring, this paper will attempt to summarize the findings of existing research on the evolution, current landscape, operating patterns,…
Descriptors: Tutoring, Private Education, Academic Achievement, Educational Change
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Crabtree, John; Zhang, Xihui; Ray, Daniel – International Journal of Teaching and Learning in Higher Education, 2022
Learning how to solve problems using computer programming is very challenging for beginners. Supplemental instructors (SIs), who lead tutoring sessions outside of normally scheduled class time and are usually peers of the students they tutor, can be of great assistance. However, since these tutors are also taking classes themselves, it can be…
Descriptors: Peer Teaching, Tutoring, Programming, Mentors
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Matthew Nelson; Kathleen Weaver; Sam Deges; Pornchanok Ruengvirayudh; Savannah Garcia; Sarah Gunn – Writing Center Journal, 2022
Writing center literature often notes the stress and anxiety of students as a special concern for peer writing tutors, and tutor training manuals offer advice for tutors on how to manage student writers' anxiety and stress in sessions. Few writing center sources, however, examine the stress/anxiety tutors may experience as a result of their work…
Descriptors: Peer Teaching, Writing Instruction, Tutoring, Stress Variables
John Hollander; John Sabatini; Art Graesser – Grantee Submission, 2022
AutoTutor-ARC (adult reading comprehension) is an intelligent tutoring system that uses conversational agents to help adult learners improve their comprehension skills. However, in such a system, not all lessons and items optimally serve the same purposes. In this paper, we describe a method for classifying items that are "instructive,…
Descriptors: Intelligent Tutoring Systems, Reading Skills, Psychometrics, Reading Comprehension
Todd Pugatch; Elizabeth Schroeder; Nicholas Wilson – Annenberg Institute for School Reform at Brown University, 2022
We design a commitment contract for college students, "Study More Tomorrow," and conduct a randomized control trial testing a model of its demand. The contract commits students to attend peer tutoring if their midterm grade falls below a pre-specified threshold. The contract carries a financial penalty for noncompliance, in contrast to…
Descriptors: College Students, Contracts, Peer Teaching, Tutoring
Ernst, Daniel – ProQuest LLC, 2020
In an era of widespread automation--from grocery store self-checkout machines to selfdriving cars--it is not outrageous to wonder: can teachers be automated? And more specifically, can automated computer teachers instruct students how to write? Automated computer programs have long been used in summative writing evaluation efforts, such as scoring…
Descriptors: Essays, Writing Evaluation, Writing Instruction, Web Sites
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Da Re, Lorenza; Bonelli, Roberta; Gerosa, Andrea – IEEE Transactions on Education, 2023
Contribution: A model of tutoring program for the empowerment of engineering students in the information and communication technologies (ICT) area is proposed, as a mean to improve academic performance. Background: ICT students failing to proceed smoothly along their study path, and possibly abandoning university before graduating, is becoming a…
Descriptors: Tutoring, Engineering Education, Student Empowerment, Information Technology
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Štastný, Vít; Chvál, Martin; Walterová, Eliška – Leadership and Policy in Schools, 2023
The paper describes various forms and modes of partnerships and cooperation between mainstream schools and private tutoring providers, and their risks and benefits as perceived by Czech school leaders. Its main findings are drawn from interviews with management representatives of 43 lower-secondary schools. Schools displayed tutors'…
Descriptors: Foreign Countries, Partnerships in Education, Private Education, Tutorial Programs
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Wang, Qiang; Song, Xin; Hong, Jon-Chao; Li, Shuang; Zhang, Mengmeng; Yang, Xiantong – Education and Information Technologies, 2023
In response to the wide-ranging concern of online academic futility, the current study aimed to explore the independent variables and mediating variable from a novel perspective of parents during COVID-19. Based on the social comparison theory and the control-value theory of achievement emotions, social comparison and tutoring anxiety were…
Descriptors: Self Concept, Tutoring, Anxiety, Parent Attitudes
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Wang, Tingting; Lajoie, Susanne P. – Educational Psychology Review, 2023
Although cognitive load (CL) and self-regulated learning (SRL) have been widely recognized as two determinant factors of students' performance, the integration of these two factors is still in its infancy. To further specify why and how CL links with SRL, we first conducted an overview to describe the multiple dimensions of cognitive load (i.e.,…
Descriptors: Cognitive Ability, Metacognition, Cognitive Processes, Correlation
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Dai, Jing; Gu, Xiaoqing; Zhu, Jiawen – Journal of Educational Computing Research, 2023
Personalized recommendation plays an important role on content selection during the adaptive learning process. It is always a challenge on how to recommend effective items to improve learning performance. The aim of this study was to examine the feasibility of applying adaptive testing technology for personalized recommendation. We proposed the…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Evaluation Methods, Tests
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Alberto Giretti; Dilan Durmus; Massimo Vaccarini; Matteo Zambelli; Andrea Guidi; Franco Ripa di Meana – International Association for Development of the Information Society, 2023
This paper provides a possible strategy for integrating large language artificial intelligence models (LLMs) in supporting students' education in artistic or design activities. We outline the methodological foundations concerning the integration of CHATGPT LLM in the educational approach aimed at enhancing artistic conception and design ideation.…
Descriptors: Art Education, Design, Artificial Intelligence, Computer Software
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Matzavela, Vasiliki; Alepis, Efthimios – Education and Information Technologies, 2023
During the last decade an eruptive increase in the demand for intelligent m-learning environments has been observed since instructors in the online academic procedures need to ensure reliability. The research for decision systems seemed inevitable for flexible and effective learning in all levels of education. The prediction of the performance of…
Descriptors: Self Evaluation (Individuals), Mathematics Education, Intelligent Tutoring Systems, Electronic Learning
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Elyse Wakelin – Educational Action Research, 2023
In highlighting the changes in demands on personal tutors as part of university support networks, this paper identifies how to improve the personal tutor experience for both the personal tutor and the student. Drawing upon the experiences at Nottingham Law School, Nottingham Trent University, England, this paper explores the importance of the…
Descriptors: Tutoring, Barriers, Universities, College Students
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