Effective feedback is essential for refining instructional practices in mathematics education, and researchers often turn to advanced natural language processing (NLP) models to analyze classroom dialogues from multiple perspectives. However, utterance-level discourse analysis encounters two primary challenges: (1) multifunctionality, where a…

Learning to derive subgoals reduces the gap between experts and students and makes students prepared for future problem solving. Researchers have explored subgoal-labeled instructional materials in traditional problem solving and within tutoring systems to help novices learn to subgoal. However, only a little research is found on problem-solving…

Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems. Deep learning is an advanced method to deal with recognizing textual entailment tasks in an end-to-end manner. However, deep learning methods for ASAG still remain challenging mainly because of the following two major reasons: (1) high-precision scoring…

Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to…

Cross-age tutoring is an educational model where an older tutor is paired with a younger tutee, valued for its economic advantages and capacity to engage participants. This model leads to improvements in both academic performance and behavior, as evidenced by Shenderovich et al. ("International Journal of Educational Research, 76,"…

As ChatGPT continues to reshape student engagement and instructional design, it is crucial to examine its practical implications. This study aims to evaluate the effectiveness of ChatGPT3.5 and ChatGPT4 as potential automated essay scoring (AES) systems. Fifty authentic, student-written annotated bibliographies were evaluated by three human raters…

This paper investigates using multi-label deep learning approach to extending the understanding of cognitive presence in MOOC discussions. Previous studies demonstrate the challenges of subjectivity in manual categorisation methods. Training automatic single-label classifiers may preserve this subjectivity. Using a triangulation approach, we…

Recent years have seen increased interests in applying the latest technological innovations, including artificial intelligence (AI) and machine learning (ML), to the field of education. One of the main areas of interest to researchers is the use of ML to assist teachers in assessing students' work on the one hand and to promote effective…

In the academic literature, private supplementary tutoring is widely called shadow education because much of its content mimics that of schooling. The author of this paper wrote the first global study of the phenomenon, which was published in 1999 and set the agenda for much subsequent research. The present paper considers research emphases over…

Tutoring promotes student achievement, academic independence, and the reduction of anxiety. While ample studies support tutoring for enhancing student success, few address how to evaluate tutoring. This quandary led to research in building and testing a meta-model that identified the hallmarks of one-on-one high-quality online tutoring.…

This study individually estimates and analyzes the contribution of public schools and fee-paid private tutoring classes to academic performance of students in Sri Lanka. Econometric models and measures of descriptive statistics were estimated and instructional time was graphically compared to test whether the private tutoring classes significantly…

Tutoring ranks among the most versatile and potentially transformative educational tools available. Dozens of randomized experiments have evaluated preK-12 tutoring programs, varying widely in approaches, contexts, and costs. This article presents results from a systematic review and meta-analysis of tutoring field experiments. We develop a…

Artificial intelligence (AI) and natural language processing technologies have fuelled the growth of Pedagogical Conversational Agents (PCAs) with empathic conversational capabilities. However, no systematic literature review has explored the intersection between conversational agents, education and emotion. Therefore, this study aimed to outline…

This mixed-methods study explored the nature, effectiveness, and policy implications of the fee-charging private supplementary tutoring (PT)--including online--that first-year Kazakhstani university students attended over the last 12 months. The data were collected from 952 participants using a close-ended questionnaire followed by semi-structured…

Progress in understanding students' development of psychological literacy is critical. However, generative AI represents an emerging threat to higher education which may dramatically impact on student learning and how this learning transfers to their practice. This research investigated whether ChatGPT responded in ways that demonstrated…