This study investigates the development and evaluation of a Retrieval-Augmented Generation (RAG)-based statistics tutor designed to assist students with quantitative analysis methods. The RAG approach was employed to address the well-documented issue of hallucination in Large Language Models (LLMs). A computer tutor was developed that utilizes…

This ethnographic case study offers a description of an alternative teacher certification program within an HBCU-based teacher preparation program within Xavier University of Louisiana. The program is named the Norman C. Francis Teacher Residency Program (NCFTR). Data from the study offers insights from six in-service, alternative teaching…

Many educators struggle to deliver effective early literacy instruction that is both research-based and responsive to diverse learning needs. IMSE's Orton-Gillingham Plus (OG+) addresses this gap by providing a Structured Literacy program grounded in explicit, systematic, and cumulative instruction. Designed for K-2 foundational literacy and…

Differentiated instruction stands as a cornerstone in modern pedagogical practices, aiming to cater to students' diverse needs and learning preferences. This systematic review delves into the vast landscape of differentiated instruction, aiming to illuminate its affordances and effectiveness across various educational settings. By synthesizing…

Educators are faced with many decisions regarding supporting students' writing. While writing achievement and curriculum-based measure scores provide numbers that are important for high-stakes decisions like determining special education eligibility, they do not provide educators with information on a student's explicit instruction needs. Written…

The ever-evolving landscape of education is constantly intersecting with rapid advances in technology. Digital personalized learning (DPL)--learning which occurs in a digital learning environment that adapts to the individual learner--is believed to benefit both students and teachers. While DPL is believed to benefit students and teachers, there…

This qualitative study examines the experiences of student leaders working in partnership with teacher leaders to implement Vermont's Act 77, a state mandated personalized learning policy. Drawing on a theoretical framework that connects the zones of mediation and knowledge brokering research, this study explores the question: How do youth and…

National Center on Education and the Economy (NCEE) studies education systems with strong student performance across the globe to understand what they do, how they do it, and the context and challenges that they face. This brief shares what has been learned about how global leaders think about high school and how they organize time in school…

Global challenges require the government to organize learning in schools that are more up-to-date following episodes in the times. The independent curriculum learning promises flexibility for teachers and students and replaces the relatively new curriculum-13. In implementing the independent curriculum, differentiated learning is a concept that…

To promote inclusive practices in science, technology, engineering, and mathematics (STEM) classrooms, this research explores teacher candidates' (TCs') views and understandings of differentiated instruction (DI). The article addresses the following research questions: (1) What are intermediate-senior STEM TCs' initial views and understandings of…

The breakthrough in generative artificial intelligence (AI) has unlocked new possibilities for higher education. There are many studies on educational chatbots in the fields of science, technology, engineering, and mathematics; however, studies on designing and leveraging chatbots in a multidisciplinary field like project management have been…

This study looked at the effectiveness of differentiated learning in enhancing students' mathematical outcomes by incorporating varied content, processes, and products. Employing a mixed-methods experimental design, the research hypothesized that differentiated instruction significantly influences students' performance in mathematics exams. The…

The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…

Academically talented students with autism, also known as twice-exceptional students with autism (2eASD), are increasingly identified in school. These students present challenges to educators who attempt to plan and implement successful instructional opportunities, as teachers' knowledge and use of evidence-based practices (EBPs) for students…

Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that…