The emergence of AI writing assistants has raised concerns about their potential impact on language diversity, preservation, and education. This paper examines the capabilities and limitations of AI writing assistants in generating dialectic text in response to academic and professional writing prompts. The study uses a concordance tool to conduct…

In recent years, Intelligent Computer-Assisted Language Assessment (ICALA) has emerged as a transformative approach in language education, leveraging technology to enhance student assessment and learning processes. Despite its growing importance, there is a scarcity of research investigating the connections among needs satisfaction, teacher…

Multilingual college students often struggle with writing and revising for academic purposes. This dissertation explored the effectiveness of a Concept-Based Language Instruction (C-BLI) approach to teaching revision processes to college-level multilingual writers. Although a significant body of research exists on effective feedback on…

With the recent rapid technological advance, second language (L2) educators have increasingly incorporated technologies into writing pedagogy. Two of the major technologies to promote L2 writing are e-portfolios and automated written corrective feedback (AWCF). Notably, feedback-rich portfolios facilitate L2 learners' self-regulation and writing…

For over four decades, textbooks have been enhanced with digital components, and today, it is almost impossible to find a textbook that does not contain any. Does this mean that textbooks have been fully digitalized and that we have reached a point where the integration of digital media into textbooks is the norm? Since there is no clear consensus…

Female, Black, Latinx, Native American, low-income, and rural students remain underrepresented among computer science undergraduate degree recipients. Along with student, family, and secondary school characteristics, college organizational climate, curricula, and instructional practices shape undergraduates' experiences that foster persistence…

Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…

The COVID-19 pandemic forced universities to quickly move instruction online. Faced with a remote-only mandate, this case study describes a virtual literacy tutoring field placement completed by teacher candidates (TCs) in an elementary education program. While in-person teaching remained their preferences, TCs felt the virtual tutoring experience…

This study describes the process of forming a school-university partnership to support the professional growth of our pre-service teachers and the in-service teachers at one partner school district and improving middle school students' science learning amid the pandemic.

Since the implementation of the federal government initiative called No Child Left Behind schools have become faced with the problem of meeting the demands of the state assessments. To overcome some of the problems that the schools are facing in mathematics, this Action Research Program utilized a schedule of both teacher and student directed…

What works to help community college students progress academically? This brief synthesizes 20 years of rigorous research by MDRC, presenting new evidence about key attributes of community college interventions that are positively related to larger impacts on students' academic progress. Findings: Findings are based on a synthesis of evidence from…

Community colleges provide postsecondary education to millions of students in the United States each year, but their graduation rates are low. Many community colleges have implemented interventions to help students persist in college and earn degrees. MDRC has studied many such interventions; several of them improved students' academic outcomes,…

This study presents a novel video recommendation system for an algebra virtual learning environment (VLE) that leverages ideas and methods from engagement measurement, item response theory, and reinforcement learning. Following Vygotsky's Zone of Proximal Development (ZPD) theory, but considering low affect and high affect students separately, we…