There is a longstanding debate on whether the analysis of covariance (ANCOVA) or the change score approach is more appropriate when analyzing non-experimental longitudinal data. In this article, we use a structural modeling perspective to clarify that the ANCOVA approach is based on the assumption that all relevant covariates are measured (i.e.,…

This study aims to explore longitudinal associations among homework expectancy, mastery-approach, homework effort, and mathematics achievement involving middle school students over one school year. Results indicated that there was support for a positive reciprocal influence of mastery-approach and effort; greater initial mastery-approach resulted…

This study uses the Swedish Science Studies course to examine teaching approaches in sustainability education. Science Studies is an interdisciplinary course that aims to educate scientifically literate and active citizens, who are committed to environmental care and sustainability. Based on a survey of 155 teachers, the study explores the…

Information design is the theory and practice of presenting information through the pairing of graphic and verbal content. It is important in the sciences because of the centrality of data visualization in research and teaching. This paper seeks to build the case for the inclusion of information design within both the Geography and university- or…

Introduction: Artificial intelligence (AI) presents challenges and opportunities for higher education. The challenge is to incorporate the benefits of AI while minimizing its potential for misuse and undermining of learning. The opportunity is that AI allows instructors to assess learning authentically by fostering creative, engaging, realistic,…

Most randomized field experiments experience some attrition. Moreover, the extent of attrition may differ by treatment condition in systematic, non-random ways, biasing estimates of treatment effects and contributing to invalid inferences. We address concerns about non-random attrition by quantifying the conditions necessary in the attritted data…

This paper explores the complex landscape of alternative provision across the UK and its implications for school exclusion. Drawing on interviews with over 400 professionals, parents, and pupils in ten selected local authorities in England, Northern Ireland, Scotland and Wales, we find marked differences in the scale and nature of provision. These…

In-depth interviews exploring academics' teaching practices and views on undergraduate education at one English university reveal concerning examples of educational trade-offs in delivering on national and institutional quality expectations. Evidence reveals the negative impacts on teaching and students' learning and achievements. Quality…

The study explored innovative instructional strategy: effect of computer-aided instruction on social studies students' achievement and retention outcome. The study was an experimental study. The sample of the study was 180 students. The instrument used for the study was the scholarly achievement test (SAT). Descriptive statistics were utilized to…

This study investigates managerial logic and academic logic by analysing the impact of institutional strategy on undergraduate teaching at a Chinese research university. By reviewing the university strategy and education strategy and interviewing academics from the Engineering faculty, this research provides empirical evidence supporting the…

Background/purpose: This study aimed to investigate the degree to which social studies teachers in Jordan possess digital teaching skills and to examine whether there are statistically significant differences based on professional experience. The study highlights the increasing importance of digital competencies in education, particularly in the…

The potential of data analytics in higher education is well acknowledged. Yet, there is a notable gap in the literature regarding the practical application of theoretical frameworks for its implementation and evaluation. While research has investigated data analytics for personalised learning, student success prediction, and programme assessment,…

One of the identified points of confusion and a barrier to students using generative artificial intelligence (GenAI) is knowing what their professor would consider appropriate use of GenAI in a classroom setting or course framework. This creates points of friction for instructors and students as they try to navigate an ever-changing landscape,…

Self-directed learning (SDL) has become essential in promoting autonomy and critical thinking within mathematics education. Given the increasing emphasis on SDL, a bibliometric analysis is necessary to map the field's development, key themes, and influential contributions. This study utilizes Scopus data from 1981 to 2024, encompassing 32…

Supported by the University of New Mexico (UNM) Transdisciplinary Research, Equity and Engagement (TREE) Center, and grounded in a need to advance health equity with tribal communities, a Navajo (Diné) early stage researcher mentored by an experienced Diné mid-career researcher conducted a pilot study with a Diné community advisory research team…