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Bandura proposed 2 constructs as central to agency and motivation: self-efficacy and outcome expectancy. Considerable research has documented the central role that self-efficacy plays in motivation, self-regulation, and learning in educational settings. Outcome expectancy, however, has received less study. This article focuses on clarifying the role of outcome expectancy in contemporary theories of motivation and achievement in education and examining how outcome expectancy and related contingency beliefs like perceived instrumentality affect student motivation. Practical contingency-based approaches that educators at all levels can use to develop student outcome expectancies and ways to use outcome expectancies to motivate students are discussed.

Two studies investigated change in computer science (CS) students' implicit intelligence beliefs. Across both studies, we found that the strength of incremental and entity beliefs changed across time. In Study 1, we found that incremental beliefs decreased and entity beliefs increased across the semester. Change in implicit intelligence beliefs was similar for students taking introductory and upper-division courses. In Study 2, growth curve analysis revealed a small linear change in incremental beliefs across time but no change in entity beliefs--these trends were similar for students enrolled in introductory and upper-division CS courses. Across both studies, change in implicit intelligence beliefs was not associated with academic achievement in CS. Findings provide preliminary evidence that shifts in implicit intelligence beliefs occur as students progress through the CS curriculum. Finally, findings support that mindset interventions may be more effective if delivered at the beginning of the semester before shifts in beliefs occur.

Contribution: This article presents a synthesis of the findings and implications from the IC2Think program of research in undergraduate computer science (CS) courses examining student motivation and self-regulated learning (SRL). These studies illuminate both the difficulty and potential for motivating CS students, as well as the uniqueness of CS as a context for studying undergraduate motivation. Background: Computing disciplines are increasingly important in preparing the future workforce. It is imperative that CS educators understand how to motivate students and enhance student outcomes. Synthesizing findings across multiple studies allows for the emergence of new insights into student motivation and SRL. Research Questions: Which aspects of students' motivation and SRL are predictive of achievement and retention in CS and how can findings inform CS education? Methodology: The primary methodology is a comprehensive review of seven years of research on undergraduate CS education. Studies use a variety of analysis techniques, examine a range of constructs, and include multiple introductory and advanced CS courses. Studies of relationships between variables and change over time were conducted. Findings: The present synthesis of studies on motivation and SRL highlights the complex, counter-intuitive, and positive aspects of student motivation in CS.

Objective: To test if precollege drinking data gathered during an online brief intervention are associated with problems and could inform screening for campus alcohol prevention efforts. Participants: Two cohorts of incoming students (N=5300). Method: Precollege alcohol drinking was gathered through an online preenrollment alcohol brief intervention. Drop out was obtained from university records. On-campus alcohol violations were obtained from university judicial affairs, and off-campus alcohol citations were obtained from the city police. The 2011 cohort was tracked for 4 years, the 2012 cohort for 3 years. Results: Precollege abstaining and heavy drinking were significantly associated with retention and alcohol violations, even with ethnicity, residency, and gender controlled. Association of precollege drinking with later college problems extended beyond the first year and affected retention up to four years of enrollment. Conclusions: The findings support using data from preenrollment alcohol brief interventions as screening tools to customize further campus alcohol interventions.

Objective: To determine whether completing a pre-enrollment Web-based alcohol brief motivational intervention (BMI) increased student retention and reduced student alcohol-related violations. Participants: Fall 2011 (3,364) and Fall 2012 (3,111) entering cohorts of all first-year students at a midwestern state university. Method: Students completing the brief intervention (BI) were compared to students not completing the BI. Retention was tracked for four years for the 2011 cohort and three years for the 2012 cohort. Campus and community alcohol violations were tracked for two academic years following enrollment. Kaplan-Meier survival analysis and Cox regression were used to test retention survival. Logistic regression was used to test campus and community violations. Results: Students in both cohorts who completed the BI had significantly higher retention and significantly fewer alcohol-related violations than noncompleters. Conclusions: Population-level Web-based BIs help prevent student dropout and decrease alcohol-related violations, with impacts extending multiple years. Web-based BI is an efficacious population-level prevention tool.

Contribution: This paper provides evidence that computational creativity exercises (CCEs) can increase engineering students' learning in introductory computer science (CS1) courses. Its main contribution is its more rigorous treatment/control group research design that allows testing for causal influences of CCEs on student learning and performance. Background: Computer science (CS) courses are critical foundational courses for engineering students. CCEs that merge computational and creative thinking have been shown to increase achievement and learning of engineering and nonengineering students in CS1 courses, but previous research has used quasi- and non-experimental designs. Intended Outcomes: CCEs are intended to improve students' learning of CS1 content and problem-solving ability by fostering computational creativity. Application Design: CCEs can improve student learning and can be used to supplement other evidence-based instructional practices. Findings: Propensity score matching was used to create equivalent treatment and control groups; results show that students in the CCE implementation section had higher scores on a CS knowledge test than students in the control section, but not higher self-efficacy for their CS knowledge. Focus group and open-ended survey questions indicated that students had mixed reactions to the CCEs, with about half the students seeing them as improving their learning, understanding, and ability to apply CS in their engineering field. Responses also reinforced the importance of fully incorporating CCEs in courses and aligning them with course topics.

Computational thinking and creative thinking are valuable tools both within and outside of computer science (CS). The goal of the project discussed here is to increase students' achievement in CS courses through a series of computational creativity exercises (CCEs). In this paper, the framework of CCEs is described, and the results of two separate studies on their impact on student achievement are presented. Students in introductory CS courses completed CCEs as part of those courses. Students in Study 1 came from a variety of programs, and students in Study 2 were engineering majors. A profiling approach was used to test whether the impact of the CCEs could be accounted for by differences in students' motivated and self-regulated engagement. Overall, CCEs had positive impacts on students' grades and knowledge test scores, and although there were differences in achievement across the profiles, the impact of the CCEs was generally consistent across profiles. The CCEs appear to be a promising way to increase student achievement in introductory CS courses. Implications and directions for future research are discussed.

Aim: This paper describes Chinese university students' understanding of the meaning of the alcohol-related flushing response and how they reacted to their own and someone else's flushing in a group drinking situation. Method: The researcher surveyed 530 Chinese university students about their understanding of flushing and their perception of how people respond to a person who visibly flushes while drinking alcohol. Findings: Most students did not know about the physiological cause of flushing. There were significant gender differences in both reactions to and perception of responses to a person who flushes. There was no direct relationship between flushing and drinking behaviour. Conclusions: This description of flushing behaviour and responses to a flushing person is discussed in terms of educational opportunities to change behaviours that could reduce the cancer related risks of this visibly at-risk group.

Background: Technical, nonengineering required courses taken at the onset of an engineering degree provide students a foundation for engineering coursework. Students who perform poorly in these foundational courses, even in those tailored to engineering, typically have limited success in engineering. A profile approach may explain why these courses are obstacles for engineering students. This approach examines the interaction among motivation and self-regulation constructs. Purpose (Hypothesis): This project sought to determine what motivational and self-regulated learning profiles engineering students adopt in foundational courses. We hypothesized that engineering students would adopt profiles associated with maladaptive motivational beliefs and self-regulated learning behaviors. The effects of profile adoption on learning and differences associated with student major, minor, and gender were analyzed. Design/Method: Five hundred and thirty-eight students, 332 of them engineering majors, were surveyed on motivation and self-regulation variables. Data were analyzed from a learner-centered profile approach using cluster analysis. Results: We obtained a five-cluster learning profile solution. Approximately 83% of engineering students enrolled in an engineering-tailored foundational computer science course adopted maladaptive profiles. These students learned less than those who adopted adaptive learning profiles. Profile adoption depended on whether a student was considering a major or minor in computer science or not. Conclusions: Findings indicate the motivational and self-regulated learning profiles that engineering students adopt in foundational courses, why they do so, and what profile adoption means for learning. Our findings can guide instructors in providing motivational beliefs and self-regulated learning scaffolds in the classroom.

Background: National and international child health surveys have indicated an increase in childhood obesity in China. The increase has been attributed to a rising standard of living, increasing availability of unhealthy foods, and a lack of knowledge about healthy diet. The objective of this study was to assess the effect of selected socio-demographic characteristics on the BMI, nutrition knowledge, and eating behavior of elementary school children.Methods: Multistage stratified cluster sampling was used. Information on demographics, nutrition knowledge, and eating behavior was gathered by means of questionnaires. The schools' doctors provided the height and weight data. The study was set in one economically advantaged and one economically disadvantaged province in China. The participants were Grade 3 students, ages 8-10 years (N = 3922).Results: A cluster analysis identified four socio-demographic variables distinguished by parental education and family living arrangement. A one-way ANOVA compared differences among the clusters in BMI, child nutrition knowledge, and child eating behavior. Students in the cluster with lowest parent education level had the lowest nutrition knowledge scores and eating behavior scores. There was no significant benefit from college education versus high school education of parents in the other three clusters. BMI was not affected by parent education level.Conclusion: The nutrition status of elementary school age children will benefit most by increasing the general level of education for those adults who are presently least educated. [ABSTRACT FROM AUTHOR]