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,…

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…

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…

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…

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'…

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…

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.,…

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…

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.…

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…

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…

Problem-based learning (PBL) is an instructional method that can show erosions and failures throughout its implementation. Faculty development programs reinforcing PBL principles are essential to keep tutorial groups functioning properly. Quasi-experimental study carried out in a medical school, with a PBL curriculum. The institution has launched…

Intelligent tutoring systems (ITSs) are a promising integrated educational tool for customizing formal education using intelligent instruction or feedback. In recent decades, ITSs have transformed teaching and learning and associated research. This study examined the evolution and future trends of ITS research with scientometric methods. First, a…

Machine learning-based modeling technology has recently become a powerful technique and tool for developing models for explaining, predicting, and describing system/human behaviors. In developing intelligent education systems or technologies, some research has focused on applying unique machine learning algorithms to build the ad-hoc student…

Purpose: This article focuses on the development of supplementary education, evolving under the label "homework support," in Sweden between 2006 and 2018. Particular attention is paid to the significance of the private market for national policy. Design/Approach/Methods: Through a theoretical model on policy enactment, the interaction…