A model that maps the requisite skills, or knowledge components, to the contents of an online course is necessary to implement many adaptive learning technologies. However, developing a skill model and tagging courseware contents with individual skills can be expensive and error prone. We propose a technology to automatically identify latent…

Integrating the use of large datasets into our teaching provides critical and unique opportunities to build students' skills and conceptual knowledge. Here, we discuss the core components needed to develop effective activities based on large datasets, which align with the 5E learning cycle. Data-based activities should be structured around a…

This study aims to use the bibliometric analysis method to examine the scientific articles published between 2000-2022 in the field of Arabic Language Teaching (ALT) and to visualize the obtained data with visual mapping technique. The dataset consists of 861 educational research articles indexed in the "Web of Science" database and…

There are marked racial and ethnic disparities in diagnosis and services for individuals on the autism spectrum, yet race and ethnicity are underreported and underexamined in autism research. The current study examines the reporting of race and ethnicity and the inclusion of participants across racial and ethnic groups in studies included in a…

Background: Online crowdsourcing platforms, such as Amazon Mechanical Turk (MTurk), have become popular alternatives to the ubiquitous student samples used in psychology research. r/SampleSize, an alternative pool on the website Reddit, allows for online participant recruitment without compulsory or immediate payment, making it potentially useful…

There is an increasing demand to introduce Introductory Business Analytics (IBA) courses into undergraduate business education. Many real-world business contexts require predictive analytics to understand the determinants of a dichotomous outcome; hence, IBA courses should include binary logistic regression analysis. This article provides our…

This article is written with the recognition that, as higher education studies evolve as a multidisciplinary area of inquiry, there is a need to reflect on the theoretical and practical concerns emerging from conducting higher education research. This is especially the case for early-career researchers who enter this relatively new field of study.…

This research aims at providing an overview of the research field of digital literacy into learning and education. Using text mining, it reviews 1037 research articles published on the topic between 2000 and 2020. This review reveals that there is a plurality of terms associated with digital literacy. Moreover, our research identifies six key…

Joint efforts by the Government of Nepal, development partners and key stakeholders to achieve SDG 4 by 2030 have improved education access, participation and retention. However, learning outcomes in Nepal remain stagnant. What resources and contextual factors are associated with good school performance in Nepal? By merging and analyzing existing…

This volume provides alternatives for tackling existing empirical, methodological, and analytical challenges. It does so by providing a broad overview of less established, as well as emerging methods, which are of great relevance for current research on professional learning and development. As such, it offers a comprehensive collection of…

The purpose of this study was to explore how evaluators justify using story-based methodologies when examining causality. The two primary research questions of the study included: 1) what arguments are made by evaluators to justify the credibility of story-based causal methodologies to evaluation stakeholders; and 2) from the perspective of…

Teachers in the United States are increasingly tasked with using data to inform their classroom instruction both through federal policies, such as the Every Student Succeeds Act (ESSA, 2016), and state policies requiring the use of teacher-determined data-driven goals for performance evaluations (MA 603 CMR 35.07). Many teachers, however, report…

The education landscape in the United States has been changing rapidly in recent decades: student populations have become more diverse; there has been an explosion of data sources; there is an intensified focus on diversity, equity, inclusion, and accessibility; educators and policy makers at all levels want more and better data for evidence-based…

Mandatory community college student fees have risen steadily over the past 20 years, outpacing the growth of tuition by a substantial margin. To date, research on postsecondary fees has been limited to public four-year colleges and universities, even as community college fees are growing faster and affecting students who are likely more price…

Research Context: In educational research, "context effects" are often of inferential interest to researchers as well as of evaluative interest to policymakers. While student education outcomes likely depend on individual-level influences like individual academic achievement, school contexts may also make a difference. Such questions are…