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…

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…

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…

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…

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…

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…

ITSs have the requirement to be adaptive to the student with AI. The classical ITS architecture defines three components to split the data and to keep it flexible and thus adaptive. However, there is a lack of abstract descriptions how to put adaptive behavior into practice. This paper defines how you can structure your data for case based systems…

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…