Problem-based learning (PBL) can take many different shapes but has as a common denominator that it builds on the principles of collaborative, constructive, contextual, and self-directed learning. Systematic review approaches that aim to provide insight in what features make PBL work generally fall short, as they tend to disregard the influential…

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…

Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

This qualitative meta-analysis explored the nature of successful collaboration between teachers and school librarians. Three action research studies of school librarians who integrated instruction or curriculum through collaboration with teachers are examined to understand more about what strategies made the collaboration successful. Strategies…

More aggregate data on school performance is available than ever before, opening up new possibilities for applied researchers interested in assessing the effectiveness of school-level interventions quickly and at a relatively low cost by implementing comparative interrupted times series (CITS) designs. We examine the extent to which effect…

Instructional technologists and faculty in post-secondary institutions have increasingly adopted learning analytics interventions such as dashboards that provide real-time feedback to students to support student' ability to regulate their learning. But analyses of the effectiveness of such interventions can be confounded by measures of students'…

Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…

This panel examines research on early education from two research practice partnerships, the Baltimore Education Research Consortium (BERC) with Baltimore City Schools and Johns Hopkins University in Baltimore, Maryland, and the Stanford-SFUSD Partnership with San Francisco Unified School District (SFUSD) and Stanford University in San Francisco,…

The phenomenon of low fertility has been negatively impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it…

Within the context of the telecom industry, this teaching case is an active learning analytics exercise to help students build hands-on expertise on how to utilize Big Data to solve a business problem. Particularly, the case utilizes an analytics method to help develop a customer retention strategy to mitigate against an increasing customer churn…

Special educators are required to use evidence-based academic and behavioral interventions in their classrooms (U.S. Department of Education, 2010). No rigorous and comprehensive database currently exists to support educators. Within the field of special education, single-subject research is the primary research methodology (Horner, Carr, Halle,…

This guide for district and school leaders shows how to recognize opportunities to embed randomized controlled trials (RCTs) into planned policies or programs. Opportunistic RCTs can generate strong evidence for informing education decisions--with minimal added cost and disruption. The guide also outlines the key steps to conduct RCTs and responds…

Shortly after we published "Addressing Flawed Research in Developmental Education" (2012) in the "Journal of Developmental Education," Thomas Bailey, Shanna Smith Jaggars, and Judith Scott- Clayton from the Community College Research Center (CCRC) wrote a response rebutting several of our claims. Though their response corrects…

Morningside Academy is a third-level scientifically driven service organization (Johnston, 1996) consisting of a laboratory school and outreach to schools and agencies throughout the United States and Canada through its partnership with Morningside Teachers' Academy. The approach blends together a number of empirically validated practices to…

Using data strategically to guide decisions and actions can have a positive effect on education practices and processes. This facilitation guide shows education data teams how to move beyond simply reporting data to applying data to direct strategic action. Using guiding questions, suggested activities, and activity forms, this guide provides…