Artificial Intelligence is a fast-evolving technology with enormous potential for education, higher education, and learning. AI can also negatively impact how societies and their citizens engage ethically with these generated, still-unexplored tools. These technological breakthroughs present both opportunity and potential peril. The problem of any…

Objectives: The purpose of the study was to investigate how tutors approached second language (L2) errors when working with advanced graduate students in structured one-on-one feedback sessions. Method: The longitudinal, qualitative case study used data from immediate, retrospective tutor reflections and in-session interactions to follow two…

Recent decades have brought significant worldwide expansion of private supplementary tutoring. Demand is especially driven by social competition, which has intensified in the context of globalization. The main suppliers of tutoring are serving teachers, commercial enterprises, and informal providers such as university students. Private tutoring…

Large Language Models (LLMs) have prompted widespread application across diverse domains. In some applications, human-like quality in output is essential for optimal user experience and credibility. This is particularly evident in applications such as Chatbots. Conversely, concerns arise regarding LLM use in contexts where human authenticity is…

For middle-school math students, interactive question-answering (QA) with tutors is an effective way to learn. The flexibility and emergent capabilities of generative large language models (LLMs) has led to a surge of interest in automating portions of the tutoring process--including interactive QA to support conceptual discussion of mathematical…

The pandemic has exacerbated existing learning gaps and created new challenges for students. This Spotlight explores effective strategies to address these gaps, accelerate learning, and support students' overall well-being. From identifying which students have been disproportionately affected to implementing in-school tutoring, these articles…

Artificial intelligence (AI) is increasingly exploited to promote student engagement. This study combined topic modelling, keyword analysis, trend test and systematic analysis methodologies to analyse AI-supported student engagement (AIsE) studies regarding research keywords and topics, AI roles, AI systems and algorithms, methods and domains,…

Considering the pivotal role of creativity across various eras and the rapid integration of Artificial Intelligence (AI) in both creative processes and education, this study introduces and provides validity evidence for the AI-assisted Creativity Questionnaire (AICQ). This new 16-item instrument aims to quantify human creative potential in…

The New Generation School (NGS) initiative, launched by the government of Cambodia in 2015, aims to improve the quality of education including raising teaching standards; improving student performance; innovating curriculum; and introducing accountability measures. Similar to charter schools in the USA, the NGSs operate as autonomous schools and…

This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…

This 4-year longitudinal study identified the impact of a multifaceted mentoring and tutoring program on the retention and graduation rates of a diverse body of undergraduate college students enrolled in high-risk science courses. Findings revealed that the program was successful in increasing the retention and graduation rates of students who…

Given the differences in trajectory for under-represented minorities in biomedical careers, we sought to explore how a virtual mentoring program, the National Research Mentoring Network (NRMN), and its platform (MyNRMN), may facilitate transitions in the science, technology, engineering, mathematics, and medicine (STEMM) pipeline. The purpose of…

Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…

Like other countries, higher education in Chile still has important socio-economic gaps to be addressed. As part of the strategies to attend this challenge, peer tutoring programmes have developed considerably in recent years. Much of the research on peer tutoring in higher education has focused primarily on the impact on the students being…

The purpose of this study was to examine the academic impact of two distinct tutoring approaches implemented in a public elementary school in Virginia. The study focused on two tutoring models: a collaboratively designed university-based program that leverages pre-service teachers for in-school tutoring and a state-funded after-school initiative,…