In this investigation, we examine the contribution of intrinsic content density (ICD) to measures of expository text processing. In Studies 1 and 2, the factor structure of select text density metrics was examined and refined using two text samples (Ns = 150) randomly selected from an expository text corpus. Scores on the ICD measure based on the…

This quantitative research study explores the external factors of plagiarism among university students in Pakistan. Data were collected from Islamabad city-based university students using an on-line survey that contains questions related to students' plagiarism, from the internet access, ethical control, and teaching factors. For this research, we…

For decades, declines in library reference use have been inextricably tied to technological improvements. This article asserts that reference staffing models may be a significant predictor of a decline in reference questions. Using two years of data, collected from a large public university, the researchers determined user preferences among five…

This study investigates the relationship of students' participation in peer-led Supplemental Instruction groups, called facilitated study groups (FSGs), with their academic performance and years to graduation. In 2017, the full academic records of about 2,400 students who started university between 2005 and 2007 and took Psychology 100 (PSY100)…

There is no doubt that connections with other people motivate behavior; yet science is stereotyped as being lonely work devoid of communal connections. Drawing from self-regulation of motivation and goal congruity theories, we ask, does relationship-building in science foster communal perceptions that then increase women's persistence in and…

Test anxiety is a context-specific academic anxiety which can result in poorer academic and metacognitive performance. We assessed how the quantity and relative weight of assessments contribute to the effects of test anxiety on performance and metacognitive accuracy in a smaller seminar-style class on human memory (study 1) and a larger…

Studies of switching between tasks and studies of error commission have both provided solid behavioral measures of executive control. Nonetheless, a gap remains between these strands of research. In three experiments we sought to reduce this gap by assessing the impact of task errors on N-2 repetition costs, an effect supposedly related to…

There is increased use of Bayesian networks (BN) in educational assessment. In psychometrics, BN serves as a measurement model with high flexibility, suitable to model educational assessment data with a complex structure. BN is a novel psychometric approach and not all aspects of its application are well-known. The article aims to provide the…

This study aims to evaluate the effectiveness and potential utility of using machine learning and natural language processing techniques to develop models that can reliably predict the relative difficulty of incoming chat reference questions. Using a relatively large sample size of chat transcripts (N = 15,690), an empirical experimental design…

Evidence for the role of procedural memory in second language (L2) acquisition has emerged in our field. However, little is known about the reliability and validity of the procedural memory measures used in this research. The present study (N = 119) examined the reliability and the convergent and discriminant validity of three assessments that…

In this article, we empirically validate Tinto's Student Integration model, in particular, the predictions the model makes regarding both students' academic outcomes and their dropout decisions. In doing so, we analyze three decades' worth of student enrollments at an Australian university and present a novel methodological approach using graph…

Student success, both during and after college, is central to the mission of higher education. Within the higher-education and, more specifically, the student-success context, the core raison d'être of machine learning (ML) is to help institutions achieve their social mission in an efficient and effective manner. While there should be synergy…

Rural students in the United States have a lower likelihood of entering and completing college compared with their non-rural peers, despite strong high school graduation rates. Postsecondary attendance and degree attainment gaps observed across geographic regions present equity and access concerns in the high school-to-higher education pipeline.…

Predicting academic performance using trace data from learning management systems is a primary research topic in educational data mining. An important application is the identification of students at risk of failing the course or dropping out. However, most approaches utilise past grades, which are not always available and capture little of the…

Self-regulated learning (SRL) is a critical 21st -century skill. In this paper, we examine SRL through the lens of the searching, monitoring, assessing, rehearsing, and translating (SMART) schema for learning operations. We use microanalysis to measure SRL behaviors as students interact with a computer-based learning environment, Betty's Brain. We…