Climate change is one of the socio-environmental problems with the greatest complexity and media impact in the world. However, difficulties have been observed in its understanding. In this study, we worked on this social problem in the classroom through argumentation, from the evaluation of different statements made about the causes and…

Medical schools are required to assess and evaluate their curricula and to develop exam questions with strong reliability and validity evidence, often based on data derived from statistically small samples of medical students. Achieving a large enough sample to reliably and validly evaluate courses, assessments, and exam questions would require…

Objective: Campus sexual misconduct causes adverse physical, mental, behavioral, reproductive, and financial consequences. Informing prevention efforts at federal, state, and institution levels requires valid data. We assessed the appropriateness of Clery Act Campus Crime Statistics data for evaluating campus sexual misconduct. Participants: We…

This article examines contemporary educational practices within the rapidly evolving landscape of Artificial Intelligence. We do so by analysing the relationship between artificiality and naturalness in education. Education, often characterized as a human and thus natural-historical phenomenon, now appears increasingly shaped by artificial…

Many students in the upper elementary grades and beyond uniquely struggle with reading comprehension, necessitating explicit instruction and remediation in this area. This U.S. study used data-based decision-making (DBDM), a research-based systematic approach to student data collection and analysis, to intensify the evidence-based Strategies for…

This article explores the nexus among research methodology, classroom data and instructional policy enactment through content analysis of lesson transcripts. It is a multiple-case research of four Zimbabwean secondary school geography teachers' classroom practices. Coded lesson-transcripts and post-lesson teacher-interview transcripts subjected to…

Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…

This cross-sectional study examines participants' comprehension of line graphs at different career stages, comparing first-year and third-year pre-service teachers (PSTs) with in-service teachers (ISTs). A 23-item line graph task aligned with Curcio's framework--"Reading the data, Reading between the data, and Reading beyond the…

Artificial intelligence (AI) and its subfield, machine learning, have become indispensable across various industries. With the aid of low-code/no-code development platform like KNIME, understanding and applying machine learning algorithms has been simplified for various fields, including business and information systems, as these platforms reduce…

This case study examines how one school district in California scaled a structured, data-driven approach to teacher collaboration to improve instruction and student outcomes districtwide. Over the last 8 years, Chino Valley Unified School District (CVUSD) has implemented the Professional Learning Community (PLC) at Work model across all schools in…

The purpose of this report, which was commissioned by the Department for Education (DfE) in September 2023, is to set out options for making use of graduate earnings data to support the Office for Students' (OfS's) regulation of the higher education sector. Our aim is a measure of graduates' earnings outcomes that would be as informative as…

Within higher education, there is campus-wide discourse increasingly calling for preparing graduates for a globalized world, internationalizing the curriculum, and building international partnerships. Yet, some of the departments -- notably language programs -- are absent in the discussion regarding solutions and allocated funds (Tardy, 2015;…

Introducing kindergarten children to the engineering design process (EDP) is an important objective of early STEM education. Studies indicate that children often miss the crucial steps of testing and optimising during the EDP and do not persist in making solutions better. The present study explores how children's goal awareness, self-evaluation…

Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university's large-scale institutional data set and undecided student's retention and graduation rate predictors to demonstrate how to couple student and institutional data…

Racial bias in research impacts a study's relevancy, validity and reliability, though presently this aspect is not addressed in critical appraisal tools, and consequently appraisers may not take racial bias into account when assessing a paper's quality. Drawing on critical race theory (CRT) tenets that racism is ubiquitous and race a social…