In this article, we analyze the potential of conversational frameworks to support the adaptation of existing tutoring systems to a natural language form of interaction. We have based our research on a pilot study, in which the open-source machine learning framework Rasa has been used to build a conversational agent that interacts with an existing…

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…

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…

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…

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…

We design a commitment device for college students, "Study More Tomorrow," conduct a randomized controlled trial testing a model of its takeup, and measure its effect on tutoring attendance and grades. The device commits students to attend tutoring if their midterm grade falls below a prespecified threshold. Unlike other commitment…

The present study connects broad educational conceptualizations of teaching method challenges with a detailed and innovative approach to students and teacher collaboration seen in cognitive stress measurements from wearable devices. The approach encompasses variances of collaborative performance in schools through uniquely correlated variables of…

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,…

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…

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.…

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…

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)…

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…

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…

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).…