Recent research in CS education has leveraged machine learning techniques to capture students’ progressions through assignments in programming courses based on their code submissions [1, 2]. With this in mind, we present a methodology for creating a set of descriptors of the students’ progression based on their coding styles as captured by different non-semantic and semantic features of their c...

PURPOSE The current study adapted two workplace substance abuse prevention programs and tested a conceptual model of workplace training effects on help seeking and alcohol consumption. DESIGN Questionnaires were collected 1 month before, 1 month after, and 6 months within a cluster randomized field experiment. SETTING Texas small businesses in construction, transportation, and service indus...

Health-related websites have the potential to powerfully influence the attitudes and behavior of consumers. Access to reliable disease information online has been linked to reduced anxiety, increased feelings of self-efficacy, and decreases in utilization of ambulatory care. Studies report that Internet health information seekers are more likely to have health concerns; adult seekers are more l...

Results of an evaluation of students’ attitudes and their relationship to student behaviors within a tutoring system are presented. Starting from a correlation analysis that integrates survey-collected student attitudes, learning variables, and behaviors while using the tutor, we constructed a Bayesian Network that infers attitudes and perceptions towards help and the tutoring system.