Traditional letter and number grades are inaccurate and harmful to children, while research indicates that standards-based grading is both more accurate and better for all stakeholders. However, despite standards-based report cards (SBRCs) coming in many forms, the best number and arrangement of performance level descriptors (PLDs) remains…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Hope is an important component that helps engage people in solving problems. Environmental educational resources addressing climate change effectively should ideally nurture hope as well as increase understanding about the issue. However, hopefulness about resolving climate change challenges is a relatively new construct in the literature and…

Over the past decade, low graduation and retention rates have plagued higher education institutions. To help students graduate on time and achieve optimal learning outcomes, many institutions provide advising services supported by educational technologies. Accurate grade prediction is an integral part of these services such as degree planning…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

The Technology Acceptance Model (TAM) represents how users come to accept and use a given technology and can be applied to teachers' use of educational technologies. Here the model is extended to incorporate teachers' perceived usability and self-efficacy measures toward the technologies they are currently using. The authors administered a survey…

Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…

The purpose of this study was to examine the relationships among students' self-perception, attitudes toward school, study and organizational skills, achievement motivation, attributional style, gender, parental involvement and style, parental income and parental level of education, and students' academic performance or achievement. Using…