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Background Recently published reports call for an increase in the number of engineering graduates and suggest appropriate characteristics that these graduates should embody. Accomplishing such change first requires understanding why students choose to pursue engineering degrees. Purpose (Hypothesis) Framed in motivation theory, our purpose was to better understand how students choose engineering by answering the question: How do engineering students' engineering‐related value beliefs contribute to their choices to engage and persist in earning engineering degrees? Design/Method This research uses Eccles' expectancy‐value theory in a qualitative, longitudinal examination of undergraduate students' choices to enroll and persist in engineering majors. In particular, the focus of this work is Eccles' subjective task value (STV) construct, which incorporates the personal importance an individual assigns to engaging in an activity. Using a multiple case study method approach, participants included eleven students (five men and six women) at a U.S. technical school. Results Results demonstrate that different patterns exist in the types of value or personal importance that participants assign to earning an engineering degree. Moreover, a primary differentiating feature of these patterns is whether or not participants choose engineering because it is consistent with their personal identity or sense of self. Conclusions We conclude that values are very important in students' choices to become engineers. To increase persistence rates we must focus on values, especially by helping students connect their personal identities to engineering identities.

Health professionals' engagement in translational health and medical research (HMR) is fundamental to evidence-based practice leading to better patient health outcomes. However, there is a decline in the number of health professionals undertaking research which has implications for patient health and the economy. Informed by the motivation-based expectancy-value-cost (EVC) and self determination theories (SDT), this systematic literature review examined the barriers and facilitators of health professionals' (HPs) motivation to undertake research. The literature was searched between 2011 and 2021 for relevant peer-reviewed articles written in English, using CINAHL Complete, Informit, Medline Ovid, Medline (PubMed), Scopus, Web of Science and Google Scholar databases. This systematic review was performed and reported in accordance with the PRISMA guidelines. Identified barriers to HPs' engagement with research included the lack of knowledge, skills, and competence to conduct research, lack of protected research time, lack of funding and lack of organisational support. Integration of the findings of this review based on the EVC and SDT theories indicate that research capacity, ie, expectancy and competence is highly influenced by attitude, ie, the type of value (attainment, intrinsic or utility) and connection attributed to research. HPs who had very positive attitude towards research demonstrated all three values and were keen to take up research despite the barriers. Those who had a positive attitude were only motivated to do research because of its utility value and did not necessarily see it as having personal relevance for themselves. HPs who were unmotivated did not see any personal connection or relatedness to the research experience and saw no value in research. The attitude HPs hold in their value of research is a catalyst for motivation or amotivation to engage in research as it directly influences the relevance of barriers. Facilitators that expedite the research journey have been attributed to research training, mentorship programs and supportive organisational research culture. Motivation of HPs explored through EVC and SDT is critical to the maintenance of a research culture and the clinician-researcher development pipeline.

Innovation is a topic of intense interest and is seen as key to confronting the vast majority of issues facing humanity. To consolidate the knowledge about approaches promoting innovation, this study conducted a systematic review integrating an all-database (n = 375) search through EBSCOhost completed on April 6th, 2019 in addition to search engine use. Three hundred three studies were full-text reviewed yielding 82 final studies eligible for the inclusion in findings extraction. The findings were synthesized and then organized into the Expectancy–value–cost (EVC) motivation framework to isolate promotive and hindering factors. It is clear that there is an unbalanced primacy in the innovation literature in favor of business and corporate settings with very little representation from the arts or social justice sectors. There is also a common trend of using surveys of individuals in organizations within a single discipline, while interviews are rare. The paucity of studying costs of innovation in the literature is symptomatic of the primarily positive psychology approach taken by studies, rather than a framework like EVC which also considers detractive factors like costs. Numerous studies provide support for the notion that more internal motivations like intrinsic (e.g., interest) and attainment (e.g., importance, fulfillment) were more influential than external motivators like rewards as targets of strategies. Leaders should focus, whenever possible, on topics that engaged curiosity, interest, and satisfaction and, if they choose to use rewards, should focus their strategies to give related rewards; otherwise, they risk sundering the internal motivation to innovate for already interested workers.

The authors' purpose was to test a parsimonious model derived from social cognitive career theory (R. W. Lent, S. D. Brown, & G. Hackett, 1994 ) and expectancy value theory (J. S. Eccles & A. Wigfield, 2002 ) that integrates groups of variables (demographic background, student behaviors, and school-related beliefs) with the goal of predicting high school dropout in a nationally representative sample of 15,753 high school students. Structural equation modeling was used to test the effect of the various predictors on students' dropout status 2 years later. The model fit the data very well, and the results indicated that socioeconomic status, academic performance, parental involvement, and absenteeism were most predictive of high school dropout. In contrast, social cognitive constructs (self-efficacy and subjective task value) added little explanatory power. Implications for high school dropout prevention programs are discussed.

A decline in the number of health professionals (HPs) engaging in clinical and healthcare research has spurred governments, educational and healthcare organisations to focus on developing strategies to promote a resurgence of clinical researchers. Based on the Expectancy-Value-Cost theory which offers a comprehensive framework to understand motivation in research, this study aimed to explore how motivations and perceived values of research evolve across different career stages, and develop a model that promotes sustained research motivation. This study employed a phenomenological qualitative research design and individual interviews to explore the experiences of 30 HPs (doctors, nurses, midwives, and allied health professionals) across three career stages-early, mid, and late-at three North Queensland Public Hospitals from March 19 to April 15, 2021. A purposive sampling technique was used to select participants, and data were analysed through inductive thematic analysis. Six themes emerged, categorised into individual, organizational, and sociocultural factors. Individual: Back to Basics and Career Aspirations Influence Research Value; Organisational: Cumbersome Processes and Resource Accessibility; Sociocultural: Building Research Capacity through Connections and Supportive Relationships Enhance Motivation. These themes informed the development of the RISES model, a multi-layered framework emphasising a collaborative approach to addressing individual, organisational, and sociocultural factors to support HPs' sustained research engagement. The study provides valuable insights into the lived experiences of HPs in relation to research, highlighting the intricate interplay of factors affecting their motivation. It introduces the RISES model to encourage ongoing research motivation and suggests further research to expand on these findings and explore additional aspects of research engagement in healthcare.

To address the seven guiding questions posed for authors of articles in this special issue, we begin by discussing the development (in the late 1970s-early 1980s) of Eccles’ expectancy-value theory of achievement choice (EEVT), a theory developed to explain the cultural phenomenon of why girls were less likely to participate in STEM courses and careers. We then discuss how we tested key predictions from the theory, notably how expectancies and values relate to achievement choices and performance and how socialization practices at home and in school influence them. Next, we discuss three main refinements: addressing developmental aspects of the theory, refining construct definitions, and renaming the theory situated expectancy value theory. We discuss reasons for that change, and their implications. To illustrate the theory’s practicality, we discuss intervention projects based in the model, and what next steps should be in SEVT-based intervention research. We close with suggestions for future research, emphasizing attaining consensus on how to measure the central constructs, expanding the model to capture better motivation of diverse groups, and the challenges of testing the increasingly complex predictions stemming from the model. Throughout the manuscript, we make suggestions for early career researchers to provide guidance for their own development of theories.

Inquiry-based learning (IBL) is a pedagogical approach in which students address complex, ill-structured problems set in authentic contexts. While IBL is gaining ground in Australia as an instructional practice, there has been little research that considers implications for student motivation and engagement. Expectancy-value theory provides a framework through which children's beliefs about their mathematical competency and their expectation of success are able to be examined and interpreted, alongside students' perceptions of task value. In this paper, Eccles and Wigfield's expectancy-value model has been adopted as a lens to examine a complete unit of mathematical inquiry as undertaken with a class of 9-10-year-old students. Data were sourced from a unit (~10 lessons) based on geometry and geometrical reasoning. The units were videotaped in full, transcribed, and along with field notes and student work samples, subjected to theoretical coding using the dimensions of Eccles and Wigfield's model. The findings provide insight into aspects of IBL that may impact student motivation and engagement. The study is limited to a single unit; however, the results provide a depth of insight into IBL in practice while identifying features of IBL that may be instrumental in bringing about increased motivation and engagement of students in mathematics. Identifying potentially motivating aspects of IBL enable these to be integrated and more closely studied in IBL practises. [Author abstract, ed]

Student self-efficacy, behavioral engagement, and emotional engagement are key factors for academic achievement. Research has yet to identify the developmental cascades linking these four constructs. Three theoretical frameworks, i.e., Self-Efficacy Theory, the Self-System Model of Motivational Development, and Expectancy-Value Theory, suggest different nexus. Following 671 students (51.8% girls) from their 4th to 6th grade, this study aims to assess competing hypotheses from these three frameworks in math. Three cross-lag models were tested to test each theoretical framework. A fourth and final model was tested to include the significant paths from the previous models. Mediation paths were also tested. Results mainly support assumptions from Self-Efficacy Theory, that is student self-efficacy and academic achievement are mutually associated from 4th to 6th grades. Some of the propositions of Expectancy-Value Theory were also supported. Self-efficacy was associated with later emotional engagement and academic achievement. However, emotional engagement in 5th grade was negatively associated with achievement in 6th grade and was not associated with behavioral engagement. Assumptions from the Self-System Model were not supported by the data. Testing the fourth model revealed an unexpected developmental cascade: 5th-grade self-efficacy mediated the association between 4th-grade achievement and 6th-grade emotional engagement. This last finding may have great implications for young adolescents as emotional engagement is an indicator of student well-being and intrinsic value of learning. Implications for theory validation and intervention targets for adolescents are discussed.

We tested the long-term effects of a utility-value intervention administered in a gateway chemistry course, with the goal of promoting persistence and diversity in STEM. In a randomized controlled trial (N = 2,505), students wrote three essays about course content and its personal relevance or three control essays. The intervention significantly improved STEM persistence overall (74% vs. 70% were STEM majors 2.5 y later). Effects were larger for students from marginalized and underrepresented racial/ethnic groups, who were 14 percentage points more likely to persist in STEM fields in the intervention condition (69% vs. 55%). Mediation analysis suggests that the intervention promoted persistence for these students by bolstering their motivation to attain a STEM degree and by promoting engagement with course assignments. This theory-informed curricular intervention is a promising tool for educators committed to retaining students in STEM.

Theories in motivation science, and in psychological science more generally, are in a state of fragmentation that impedes development of a robust body of knowledge. Furthermore, fragmentation hinders communication among scientists, with practitioners, and with policymakers and the public. Theoretical integration is needed to overcome this situation. In this commentary, I first provide an overview of the integrative frameworks presented in this collection of articles. Based on this overview, I discuss if and when we should integrate theories. Several non-trivial conditions need to be met for integration, including convergence of phenomena, constructs, and theoretical propositions. Next, I address strategies for integration, including rules for merging constructs and ways to integrate propositions. I also discuss how the generation of integrative frameworks, if not successfully enacted, can paradoxically lead to further proliferation rather than a reduction of theories. In contrast, successful integration reduces redundancy and simplifies the conceptual space used to describe, explain, or predict a set of phenomena. Successful integration may require not only theoretical work but also empirical validation, strategic efforts in the scientific community, and change of institutional policies. In conclusion, I argue that within-discipline integration alone is not sufficient to overcome the current theoretical stagnation in the field. Attention to advances in neighboring disciplines, formalization of models of motivation, and theoretical differentiation to consider the specificity of constructs, populations, and contexts are needed as well.