This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

This study conceptually replicated Huensch and Tracy-Ventura's (2017) analysis of the relationship between L1 and L2 utterance fluency with adult L1-English learners of Spanish. Data from 88 participants were analyzed to explore the proportion of the variance in L2 fluency measures that can be attributed to the corresponding L1 measures, and the…

Making adults learn from larger linguistic units can facilitate learning article-noun agreement. Here we ask whether initial exposure to larger units improves learning by increasing the predictive associations between the article and noun. Using an artificial language learning paradigm, we taught 106 Hebrew-speaking participants novel article-noun…

The goal of this study was to describe how underlying vocabulary knowledge manifests into vocabulary usage, and in turn, how usage predicts writing quality among adult basic education (ABE) learners. ABE learners were administered tasks that measured vocabulary knowledge, in the forms of both vocabulary breadth and depth. Participants were also…

In 2016, the GED® introduced college readiness benchmarks designed to identify testers who are academically prepared for credit-bearing college coursework. The benchmarks are promoted as awarding college credits or exempting "college-ready" GED® graduates from remedial coursework. I show descriptive evidence that those identified as…

Sub-Saharan Africa exhibits higher fertility and lower education than other world regions. Economic and demographic theory posit that these phenomena are linked, with slow fertility decline connected to slow education growth among both adults and children. Using microdata from 33 African countries, this paper documents the co-evolution of adult…

Positive psychology (PP) is currently employing its modern research toolkit to examine how individual differences of hedonic (i.e. pursuing pleasure, fun, and painlessness) versus eudaimonic (i.e. pursuing meaning, self-worth, and growth) well-being motives play out against emotional and learning challenges or outcomes in life. Similarly oriented,…

In 1963, Howard Y. McClusky wrote the theory of margin, defining the personal ratio of power to load. Margin theory has been used to predict success; however, more research is needed to redevelop how this sixty-year-old theory is situated in the current environment. This grounded theory study examined the changes to margin by hybridization.…

The rising number of older adults increases the need for more workers willing and capable of working with the aging population. However, ageism presents a challenging barrier to overcome. This study aimed to determine the relationship between ageism, self-efficacy, and career interest across a semester; the impact of participating in aging-related…

Student veterans are at an increased risk of suicidality (Borsari et al., 2017; Rudd et al., 2011; Schonfeld et al., 2015). Suicide prevention efforts exist on campuses nationwide (Suicide Prevention Resource Center, n.d.); however, these programs have not been created for at-risk populations, such as student veterans, specifically. Further,…

For many people, learning a second language as an adult is a challenging endeavor. Much interest in the study of adult second language learning has concerned the type of input that learners receive in their second language, with findings suggesting that second language learners are often exposed to a register of speech called 'foreigner talk' that…

University students' passion for their studies has been previously demonstrated to be important for both their academic performance and their personal well-being. However, no studies to date have explored the role of passion for one's studies on both academic and personal outcomes in a single model. The present research sought to determine the…

This study examines the levels of self-directed learning skills for students on the Access to HE course at City College and how these skills relate to their academic achievement. In this study, 101 students participated in a survey and their self-directed learning readiness was measured using the Self-Directed Learning Readiness Scale (SRSSDL).…

In this paper, we develop a context-aware, tablet-based learning module for adult education. Specifically, we focus on adult education in healthcare-teaching learners to perform a medical screening procedure. Based upon how learners navigate through the learning module (e.g. swipe-speed and click duration, among others), we use machine learning to…

This article demonstrates how recent advances in technology allow fine-grained analyses of candidate-produced essays, thus providing a deeper insight on writing performance. We examined how essay features, automatically extracted using natural language processing and keystroke logging techniques, can predict various performance measures using data…