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The purpose of this empirical research was to use the perceived resources and technology acceptance model (PRATAM; Ku, 2009) to observe and measure students' beliefs on using the WebCT online learning system (OLS) in two WebCT courses offered at a large university in the south-eastern United States. PRATAM was replicated from previous research to address the factors of perceived resources (R), perceived usefulness (U), perceived ease of use (EOU), attitude towards using, behavioural intention to use (BI), and actual system use (USE). The results show that the constructs of PRATAM explained the data well in both surveys conducted. This study makes a contribution to the literature on PRATAM by identifying and understanding the factors that influence students' behaviours in response to the OLS. Moreover, it provides insights for administrators and instructional designers for improving students' persistence and retention in online learning courses.

The study examined the extent that teacher–student relationships (TSR) influenced basic psychological needs, engagement, and student growth using the self‐systems process model as a framework using structural equation modeling. Based on prior research, it was hypothesized that context (TSR) influenced self (basic psychological needs), which influenced action (engagement), and consequently, influenced outcome (student score and grade point average‐GPA). The findings of the study supported prior research that a TSR positively influenced levels of engagement in the classroom and, consequently, student outcomes as measured by classroom grade point average (GPA) and standardized assessment results. Using an identical methodological setup that substituted student growth percentiles (SGP) for scale scores, it was determined that TSR, basic psychological need satisfaction, and level of engagement do not influence SGP. Implications and potential contributions are discussed.

The study analyzed why some university faculty resisted a new software program using a new model of motivation. The new model, called the Motivation Acceptance Model (MAM), was inspired by the technology acceptance model and the Commitment and Necessary Effort (CANE) model of motivation. This model was tested on faculty at a university who were resisting a new software program called Live-Text. Regression analysis was utilized to determine the relationship between variables of the MAM. The study demonstrates that the MAM accurately measured the relationship between professors' perceptions and their use of Live-Text. The research also suggests that perceived utility of Live-Text and users' attitudes toward Live-Text were statistically significant predictors of Live-Text use and that perceived ease of use also predicted whether the professors found Live-Text useful.

Statistical literacy refers to understanding fundamental statistical concepts. Assessment of statistical literacy can take the forms of tasks that require students to identify, translate, compute, read, and interpret data. In addition, statistical instruction can take many forms encompassing course delivery format such as face-to-face, hybrid, online, video capture, and flipped. In this study, we examined statistical literacy of graduate students using a validated assessment tool (the Comprehensive Assessment of Outcomes in Statistics; CAOS) across two increasingly popular delivery formats-hybrid and online. In addition, we examined condensed (six week) semesters to full (16 week) semesters to determine if course length was related to statistical literacy. Our findings suggest that, holding other factors constant, delivery format is not related to statistical literacy for graduate students. This contradicts some existing research that shows hybrid delivery outperforms online only. Our results have important implications for the teaching of statistics as well as for graduate education overall.

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