Lindsay B Wheeler, Katerina V Thompson, Gili Marbach-Ad, Patrick Sheehan, Jacqueline L Bortiatynski, Cindy Ghent
{"title":"预测STEM学生重视跨学科技能程度的因素:一项跨四所院校的研究。","authors":"Lindsay B Wheeler, Katerina V Thompson, Gili Marbach-Ad, Patrick Sheehan, Jacqueline L Bortiatynski, Cindy Ghent","doi":"10.1187/cbe.22-06-0101","DOIUrl":null,"url":null,"abstract":"<p><p>Expectancy-value theory of motivation (EVT) suggests that student values influence their likelihood of putting in the effort required to learn, and these values can be shaped by student characteristics, such as their experiences, sociodemographics, and disciplinary norms. To understand the extent to which these characteristics relate to students' values, we surveyed 1162 graduating science, technology, engineering, and mathematics (STEM) students across four universities using the previously developed and validated Survey of Teaching Beliefs and Practices for Undergraduates (STEP-U). The STEP-U survey included Likert questions to capture students' values of 27 cross-disciplinary skills and the frequency with which they experienced 27 instructional methods thought to develop particular skills. Exploratory factor analyses (EFA) showed an understandable factor structure for both students' perceived value of cross-disciplinary skills and frequency of classroom experiences. Using multiple regression, we identified differences in values that were associated with classroom experiences, STEM discipline, participation in undergraduate research, and student sociodemographics. Findings were generalizable across institutions and disciplines. The theoretical framework (EVT), the broad data collection (four institutions with multiple disciplines), and the type of data analyses (e.g., EFA) used provide theoretical, methodological, and practical contributions and suggest additional directions for future research.</p>","PeriodicalId":56321,"journal":{"name":"Cbe-Life Sciences Education","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/34/15/cbe-22-ar20.PMC10228268.pdf","citationCount":"0","resultStr":"{\"title\":\"Factors Predicting the Extent to which STEM Students Value Cross-Disciplinary Skills: A Study across Four Institutions.\",\"authors\":\"Lindsay B Wheeler, Katerina V Thompson, Gili Marbach-Ad, Patrick Sheehan, Jacqueline L Bortiatynski, Cindy Ghent\",\"doi\":\"10.1187/cbe.22-06-0101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Expectancy-value theory of motivation (EVT) suggests that student values influence their likelihood of putting in the effort required to learn, and these values can be shaped by student characteristics, such as their experiences, sociodemographics, and disciplinary norms. To understand the extent to which these characteristics relate to students' values, we surveyed 1162 graduating science, technology, engineering, and mathematics (STEM) students across four universities using the previously developed and validated Survey of Teaching Beliefs and Practices for Undergraduates (STEP-U). The STEP-U survey included Likert questions to capture students' values of 27 cross-disciplinary skills and the frequency with which they experienced 27 instructional methods thought to develop particular skills. Exploratory factor analyses (EFA) showed an understandable factor structure for both students' perceived value of cross-disciplinary skills and frequency of classroom experiences. Using multiple regression, we identified differences in values that were associated with classroom experiences, STEM discipline, participation in undergraduate research, and student sociodemographics. Findings were generalizable across institutions and disciplines. The theoretical framework (EVT), the broad data collection (four institutions with multiple disciplines), and the type of data analyses (e.g., EFA) used provide theoretical, methodological, and practical contributions and suggest additional directions for future research.</p>\",\"PeriodicalId\":56321,\"journal\":{\"name\":\"Cbe-Life Sciences Education\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/34/15/cbe-22-ar20.PMC10228268.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cbe-Life Sciences Education\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1187/cbe.22-06-0101\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cbe-Life Sciences Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1187/cbe.22-06-0101","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
Factors Predicting the Extent to which STEM Students Value Cross-Disciplinary Skills: A Study across Four Institutions.
Expectancy-value theory of motivation (EVT) suggests that student values influence their likelihood of putting in the effort required to learn, and these values can be shaped by student characteristics, such as their experiences, sociodemographics, and disciplinary norms. To understand the extent to which these characteristics relate to students' values, we surveyed 1162 graduating science, technology, engineering, and mathematics (STEM) students across four universities using the previously developed and validated Survey of Teaching Beliefs and Practices for Undergraduates (STEP-U). The STEP-U survey included Likert questions to capture students' values of 27 cross-disciplinary skills and the frequency with which they experienced 27 instructional methods thought to develop particular skills. Exploratory factor analyses (EFA) showed an understandable factor structure for both students' perceived value of cross-disciplinary skills and frequency of classroom experiences. Using multiple regression, we identified differences in values that were associated with classroom experiences, STEM discipline, participation in undergraduate research, and student sociodemographics. Findings were generalizable across institutions and disciplines. The theoretical framework (EVT), the broad data collection (four institutions with multiple disciplines), and the type of data analyses (e.g., EFA) used provide theoretical, methodological, and practical contributions and suggest additional directions for future research.
期刊介绍:
CBE—Life Sciences Education (LSE), a free, online quarterly journal, is published by the American Society for Cell Biology (ASCB). The journal was launched in spring 2002 as Cell Biology Education—A Journal of Life Science Education. The ASCB changed the name of the journal in spring 2006 to better reflect the breadth of its readership and the scope of its submissions.
LSE publishes peer-reviewed articles on life science education at the K–12, undergraduate, and graduate levels. The ASCB believes that learning in biology encompasses diverse fields, including math, chemistry, physics, engineering, computer science, and the interdisciplinary intersections of biology with these fields. Within biology, LSE focuses on how students are introduced to the study of life sciences, as well as approaches in cell biology, developmental biology, neuroscience, biochemistry, molecular biology, genetics, genomics, bioinformatics, and proteomics.