This study examined the significance of selected independent variables such as continuous full-time attendance and resource utilization frequency, reflecting student integration and involvement, on the attainment of three academic benchmarks by the end of the fall 2020 semester among a subset of students at Kingsborough Community College (KCC) of…

Lexical ambiguity--the phenomenon of a single word having multiple, distinguishable senses--is pervasive in language. Both the degree of ambiguity of a word (roughly, its number of senses) and the relatedness of those senses have been found to have widespread effects on language acquisition and processing. Recently, distributional approaches to…

To improve clinical teaching skills, feedback on teachers' strengths and weaknesses needs to be reliable, timely, and relevant. To provide timely feedback we undertook development of an analytical dashboard to provide learner feedback to our faculty. As dashboard data displays are limited we performed a modified Delphi (mDelphi) method to…

Purpose: The Quality Assurance Agency (QAA) for Higher Education in the UK focuses on maintaining, enhancing and standardising the quality of higher education. Of significant impact are the development of subject benchmark statements (SBS) by the QAA, which describe the type and content of study along with the academic standards expected of…

Benchmarking is an important tool to compare and make deliberate progress in any field of human endeavour. For integration of technology for teaching and learning, this is relatively a new field. The Commonwealth of Learning (COL) promotes the use of technology-enabled learning (TEL) -- also referred to as "digital learning" - for…

Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…

A well-designed compliance program is necessary for higher education institutions (HEIs) of all sizes to mitigate the risks of severe penalties and reputational damage resulting from regulatory noncompliance. The U.S. Federal Sentencing Guidelines provide a broad framework comprised of the Seven Elements contributing to an effective compliance…

Social scientists seeking to inform policy or public action must carefully consider how to identify effects and express inferences because actions based on invalid inferences will not yield the intended results. Recognizing the complexities and uncertainties of social science, we seek to inform inevitable debates about causal inferences by…

Enabling education programs in Australia assist students, who would otherwise have been excluded from higher education, to transition into undergraduate study. These programs emerged independently in response to the needs of individual universities and the varying cohorts of students they serve. The exclusion of these programs from the Australian…

To assess the meaningfulness of an intervention effect on students' achievement, researchers may apply empirical benchmarks as standards for comparisons, involving normative expectations for students' academic growth as well as performance gaps between weak and average schools or policy-relevant groups (e.g., male and female students, students…

The COVID-19 pandemic has heightened the visibility of economic inequality and the inadequacy of current minimum wage laws in the United States. Changes in the minimum wage, a living wage, or just employment practices may be compelled by law or voluntarily enacted by employers. A literature search failed to yield a concise and practical tool to…

Arrival of managerialism, call for accountability, efficiency and effectiveness marked a new era in higher education. With the growing demand for evidence-based and data-driven analysis of higher education institutions' performance from internal and external stakeholders, universities are looking for ways to successfully implement performance…

For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…

Higher education's rapid expansion is paired with growing social expectations of its benefits and concern on its teaching quality. In response to these, institutional/national surveys based on an array of theories are widely used in universities for quality assurance, enhancement, and benchmarking. This paper reviews three major types of…

This study investigated how three fifth-grade students' understanding of fraction and decimal magnitude evolved over the course of a five-week teaching experiment. Students participated in teaching and learning sessions focused on developing concepts of fraction and decimal magnitude. The following questions guided this study: (1) How do fifth…