Pub Date : 2024-02-23DOI: 10.1186/s40594-024-00473-8
Julie P. Martin, Deepthi E. Suresh, Paul A. Jensen
The National Science Foundation Research Initiation in Engineering Formation (RIEF) program aims to increase research capacity in the field by providing funding for technical engineering faculty to learn to conduct engineering education research through mentorship by an experienced social science researcher. We use collaborative autoethnography to study the tripartite RIEF mentoring relationship between Julie, an experienced engineering education researcher, and two novice education researchers who have backgrounds in biomedical engineering—Paul, a biomedical engineering faculty member and major professor to the second novice, Deepthi, a graduate student. We ground our work in the cognitive apprenticeship model and Eby and colleagues’ mentoring model. Using data from written reflections and interviews, we explored the role of instrumental and psychosocial supports in our mentoring relationship. In particular, we noted how elements of cognitive apprenticeship such as scaffolding and gradual fading of instrumental supports helped Paul and Deepthi learn qualitative research skills that differed drastically from their biomedical engineering research expertise. We initially conceptualized our tripartite relationship as one where Julie mentored Paul and Paul subsequently mentored Deepthi. Ultimately, we realized that this model was unrealistic because Paul did not yet possess the social science research expertise to mentor another novice. As a result, we changed our model so that Julie mentored both Paul and Deepthi directly. While our mentoring relationship was overall very positive, it has included many moments of miscommunication and misunderstanding. We draw on Lent and Lopez’s idea of relation-inferred self-efficacy to explain some of these missed opportunities for communication and understanding. This paper contributes to the literature on engineering education capacity building by studying mentoring as a mechanism to support technically trained researchers in learning to conduct engineering education research. Our initial mentoring model failed to take into account how challenging it is for mentees to make the paradigm shift from technical engineering to social science research and how that would affect Paul’s ability to mentor Deepthi. Our experiences have implications for expanding research capacity because they raise practical and conceptual issues for experienced and novice engineering education researchers to consider as they form mentoring relationships.
{"title":"Using collaborative autoethnography to investigate mentoring relationships for novice engineering education researchers","authors":"Julie P. Martin, Deepthi E. Suresh, Paul A. Jensen","doi":"10.1186/s40594-024-00473-8","DOIUrl":"https://doi.org/10.1186/s40594-024-00473-8","url":null,"abstract":"The National Science Foundation Research Initiation in Engineering Formation (RIEF) program aims to increase research capacity in the field by providing funding for technical engineering faculty to learn to conduct engineering education research through mentorship by an experienced social science researcher. We use collaborative autoethnography to study the tripartite RIEF mentoring relationship between Julie, an experienced engineering education researcher, and two novice education researchers who have backgrounds in biomedical engineering—Paul, a biomedical engineering faculty member and major professor to the second novice, Deepthi, a graduate student. We ground our work in the cognitive apprenticeship model and Eby and colleagues’ mentoring model. Using data from written reflections and interviews, we explored the role of instrumental and psychosocial supports in our mentoring relationship. In particular, we noted how elements of cognitive apprenticeship such as scaffolding and gradual fading of instrumental supports helped Paul and Deepthi learn qualitative research skills that differed drastically from their biomedical engineering research expertise. We initially conceptualized our tripartite relationship as one where Julie mentored Paul and Paul subsequently mentored Deepthi. Ultimately, we realized that this model was unrealistic because Paul did not yet possess the social science research expertise to mentor another novice. As a result, we changed our model so that Julie mentored both Paul and Deepthi directly. While our mentoring relationship was overall very positive, it has included many moments of miscommunication and misunderstanding. We draw on Lent and Lopez’s idea of relation-inferred self-efficacy to explain some of these missed opportunities for communication and understanding. This paper contributes to the literature on engineering education capacity building by studying mentoring as a mechanism to support technically trained researchers in learning to conduct engineering education research. Our initial mentoring model failed to take into account how challenging it is for mentees to make the paradigm shift from technical engineering to social science research and how that would affect Paul’s ability to mentor Deepthi. Our experiences have implications for expanding research capacity because they raise practical and conceptual issues for experienced and novice engineering education researchers to consider as they form mentoring relationships.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139948985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-23DOI: 10.1186/s40594-024-00474-7
Sarah D. Castle, W. Carson Byrd, Benjamin P. Koester, Meaghan I. Pearson, Emily Bonem, Natalia Caporale, Sonja Cwik, Kameryn Denaro, Stefano Fiorini, Yangqiuting Li, Chris Mead, Heather Rypkema, Ryan D. Sweeder, Montserrat B. Valdivia Medinaceli, Kyle M. Whitcomb, Sara E. Brownell, Chantal Levesque-Bristol, Marco Molinaro, Chandralekha Singh, Timothy A. McKay, Rebecca L. Matz
Large introductory lecture courses are frequently post-secondary students’ first formal interaction with science, technology, engineering, and mathematics (STEM) disciplines. Grade outcomes in these courses are often disparate across student populations, which, in turn, has implications for student retention. This study positions such disparities as a manifestation of systemic inequities along the dimensions of sex, race/ethnicity, income, and first-generation status and investigates the extent to which they are similar across peer institutions. We examined grade outcomes in a selected set of early STEM courses across six large, public, research-intensive universities in the United States over ten years. In this sample of more than 200,000 STEM course enrollments, we find that course grade benefits increase significantly with the number of systemic advantages students possess at all six institutions. The observed trends in academic outcomes versus advantage are strikingly similar across universities despite the fact that we did not control for differences in grading practices, contexts, and instructor and student populations. The findings are concerning given that these courses are often students’ first post-secondary STEM experiences. STEM course grades are typically lower than those in other disciplines; students taking them often pay grade penalties. The systemic advantages some student groups experience are correlated with significant reductions in these grade penalties at all six institutions. The consistency of these findings across institutions and courses supports the claim that inequities in STEM education are a systemic problem, driven by factors that go beyond specific courses or individual institutions. Our work provides a basis for the exploration of contexts where inequities are exacerbated or reduced and can be used to advocate for structural change within STEM education. To cultivate more equitable learning environments, we must reckon with how pervasive structural barriers in STEM courses negatively shape the experiences of marginalized students.
{"title":"Systemic advantage has a meaningful relationship with grade outcomes in students’ early STEM courses at six research universities","authors":"Sarah D. Castle, W. Carson Byrd, Benjamin P. Koester, Meaghan I. Pearson, Emily Bonem, Natalia Caporale, Sonja Cwik, Kameryn Denaro, Stefano Fiorini, Yangqiuting Li, Chris Mead, Heather Rypkema, Ryan D. Sweeder, Montserrat B. Valdivia Medinaceli, Kyle M. Whitcomb, Sara E. Brownell, Chantal Levesque-Bristol, Marco Molinaro, Chandralekha Singh, Timothy A. McKay, Rebecca L. Matz","doi":"10.1186/s40594-024-00474-7","DOIUrl":"https://doi.org/10.1186/s40594-024-00474-7","url":null,"abstract":"Large introductory lecture courses are frequently post-secondary students’ first formal interaction with science, technology, engineering, and mathematics (STEM) disciplines. Grade outcomes in these courses are often disparate across student populations, which, in turn, has implications for student retention. This study positions such disparities as a manifestation of systemic inequities along the dimensions of sex, race/ethnicity, income, and first-generation status and investigates the extent to which they are similar across peer institutions. We examined grade outcomes in a selected set of early STEM courses across six large, public, research-intensive universities in the United States over ten years. In this sample of more than 200,000 STEM course enrollments, we find that course grade benefits increase significantly with the number of systemic advantages students possess at all six institutions. The observed trends in academic outcomes versus advantage are strikingly similar across universities despite the fact that we did not control for differences in grading practices, contexts, and instructor and student populations. The findings are concerning given that these courses are often students’ first post-secondary STEM experiences. STEM course grades are typically lower than those in other disciplines; students taking them often pay grade penalties. The systemic advantages some student groups experience are correlated with significant reductions in these grade penalties at all six institutions. The consistency of these findings across institutions and courses supports the claim that inequities in STEM education are a systemic problem, driven by factors that go beyond specific courses or individual institutions. Our work provides a basis for the exploration of contexts where inequities are exacerbated or reduced and can be used to advocate for structural change within STEM education. To cultivate more equitable learning environments, we must reckon with how pervasive structural barriers in STEM courses negatively shape the experiences of marginalized students.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139948910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-16DOI: 10.1186/s40594-024-00472-9
Gulsah Dost
Women and ethnic minorities have historically been underrepresented in some STEM fields. It is therefore important to understand the factors influencing students’ persistence in STEM fields, and what STEM belonging means from the voices of socio-demographically diverse students, in order to ensure equity among students in STEM fields and to increase their belonging to this field, which has not been clearly defined in the literature, and there is a lack of agreement about the definition of belonging itself. For this purpose, the perspectives of students in England are brought together in this study in an attempt to better understand the concept of STEM belonging within a broader context of integration. The inductive thematic analysis with the voices of socio-demographically diverse 313 A-level, undergraduate and postgraduate Mathematics, Physics, and Chemistry students showed that compared to male students, it was mostly female, non-binary, non-White, and first-generation students who defined STEM belonging as ‘Feeling safe and comfortable in the STEM community and settings’. This theme was defined by the participants as the group/community/learning environment in which the individual belongs, the interaction with the people in the field, and the comfort that this participation/interaction creates. Students stressed the importance of creating a supportive and welcoming STEM environment so that individuals can feel at home, as well as a safe and comfortable STEM environment for people of all identities, genders, ethnicities, and backgrounds. Based on the participants’ responses, this study also conceptualised the concept of STEM belonging as having four phases: the ‘adaptation phase’, the ‘integration phase’, the ‘continuum phase’, and the ‘transition phase’. These four phases which comprise the STEM belonging concept are consecutive and interconnected. The study concluded that all human beings are connected in a relational way (either strong or weak) and that the concept of STEM belonging develops as a result of interactions with ‘self’ and ‘others’ who have a shared passion and an interest in STEM fields. Although individuals have intrinsic motivation and individual prompts in STEM fields (i.e. resilience, beliefs in their capacity/ability and curiosity, etc.), social determinants (i.e. receiving adequate support from members of the STEM community, social capital and social cohesion, etc.) also play a significant role in influencing individual’s sense of STEM belonging.
{"title":"Students’ perspectives on the ‘STEM belonging’ concept at A-level, undergraduate, and postgraduate levels: an examination of gender and ethnicity in student descriptions","authors":"Gulsah Dost","doi":"10.1186/s40594-024-00472-9","DOIUrl":"https://doi.org/10.1186/s40594-024-00472-9","url":null,"abstract":"Women and ethnic minorities have historically been underrepresented in some STEM fields. It is therefore important to understand the factors influencing students’ persistence in STEM fields, and what STEM belonging means from the voices of socio-demographically diverse students, in order to ensure equity among students in STEM fields and to increase their belonging to this field, which has not been clearly defined in the literature, and there is a lack of agreement about the definition of belonging itself. For this purpose, the perspectives of students in England are brought together in this study in an attempt to better understand the concept of STEM belonging within a broader context of integration. The inductive thematic analysis with the voices of socio-demographically diverse 313 A-level, undergraduate and postgraduate Mathematics, Physics, and Chemistry students showed that compared to male students, it was mostly female, non-binary, non-White, and first-generation students who defined STEM belonging as ‘Feeling safe and comfortable in the STEM community and settings’. This theme was defined by the participants as the group/community/learning environment in which the individual belongs, the interaction with the people in the field, and the comfort that this participation/interaction creates. Students stressed the importance of creating a supportive and welcoming STEM environment so that individuals can feel at home, as well as a safe and comfortable STEM environment for people of all identities, genders, ethnicities, and backgrounds. Based on the participants’ responses, this study also conceptualised the concept of STEM belonging as having four phases: the ‘adaptation phase’, the ‘integration phase’, the ‘continuum phase’, and the ‘transition phase’. These four phases which comprise the STEM belonging concept are consecutive and interconnected. The study concluded that all human beings are connected in a relational way (either strong or weak) and that the concept of STEM belonging develops as a result of interactions with ‘self’ and ‘others’ who have a shared passion and an interest in STEM fields. Although individuals have intrinsic motivation and individual prompts in STEM fields (i.e. resilience, beliefs in their capacity/ability and curiosity, etc.), social determinants (i.e. receiving adequate support from members of the STEM community, social capital and social cohesion, etc.) also play a significant role in influencing individual’s sense of STEM belonging.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139764105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.1186/s40594-024-00463-w
Hsin-Yi Chang, Yen-Jung Chang, Meng-Jung Tsai
Data visualizations transform data into visual representations such as graphs, diagrams, charts and so forth, and enable inquiries and decision-making in many professional fields, as well as in public and economic areas. How students’ data visualization literacy (DVL), including constructing, comprehending, and utilizing adequate data visualizations, can be developed is gaining increasing attention in STEM education. As fundamental steps, the purpose of this study was to understand common student difficulties and useful strategies during the process of constructing data visualization so that suggestions and principles can be made for the design of curricula and interventions to develop students’ DVL. This study engaged 57 college and high school students in constructing data visualizations relating to the topic of air quality for a decision-making task. The students’ difficulties and strategies demonstrated during the process of data visualization were analyzed using multiple collected data sources including the students’ think-aloud transcripts, retrospective interview transcripts, and process videos that captured their actions with the data visualization tool. Qualitative coding was conducted to identify the students’ difficulties and strategies. Epistemic network analysis (ENA) was employed to generate network models revealing how the difficulties and strategies co-occurred, and how the college and high school students differed. Six types of student difficulties and seven types of strategies were identified. The strategies were further categorized into non-, basic- and high-level metavisual strategies. About three-quarters of the participants employed basic or high-level metavisual strategies to overcome the technological and content difficulties. The high school students demonstrated a greater need to develop content knowledge and representation skills, whereas the college students needed more support to know how to simplify data to construct the best data visualizations. The study specified metacognition needed for data visualization, which builds on and extends the cognitive model of drawing construction (CMDC) and theoretical perspectives of metavisualization. The results have implications for developing students’ data visualization literacy in STEM education by considering the difficulties and trajectories of metacognitive strategy development, and by addressing the different patterns and needs demonstrated by the college and high school students.
{"title":"Strategies and difficulties during students’ construction of data visualizations","authors":"Hsin-Yi Chang, Yen-Jung Chang, Meng-Jung Tsai","doi":"10.1186/s40594-024-00463-w","DOIUrl":"https://doi.org/10.1186/s40594-024-00463-w","url":null,"abstract":"Data visualizations transform data into visual representations such as graphs, diagrams, charts and so forth, and enable inquiries and decision-making in many professional fields, as well as in public and economic areas. How students’ data visualization literacy (DVL), including constructing, comprehending, and utilizing adequate data visualizations, can be developed is gaining increasing attention in STEM education. As fundamental steps, the purpose of this study was to understand common student difficulties and useful strategies during the process of constructing data visualization so that suggestions and principles can be made for the design of curricula and interventions to develop students’ DVL. This study engaged 57 college and high school students in constructing data visualizations relating to the topic of air quality for a decision-making task. The students’ difficulties and strategies demonstrated during the process of data visualization were analyzed using multiple collected data sources including the students’ think-aloud transcripts, retrospective interview transcripts, and process videos that captured their actions with the data visualization tool. Qualitative coding was conducted to identify the students’ difficulties and strategies. Epistemic network analysis (ENA) was employed to generate network models revealing how the difficulties and strategies co-occurred, and how the college and high school students differed. Six types of student difficulties and seven types of strategies were identified. The strategies were further categorized into non-, basic- and high-level metavisual strategies. About three-quarters of the participants employed basic or high-level metavisual strategies to overcome the technological and content difficulties. The high school students demonstrated a greater need to develop content knowledge and representation skills, whereas the college students needed more support to know how to simplify data to construct the best data visualizations. The study specified metacognition needed for data visualization, which builds on and extends the cognitive model of drawing construction (CMDC) and theoretical perspectives of metavisualization. The results have implications for developing students’ data visualization literacy in STEM education by considering the difficulties and trajectories of metacognitive strategy development, and by addressing the different patterns and needs demonstrated by the college and high school students.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139764095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.1186/s40594-024-00470-x
Alexandra C. Lau, Charles Henderson, Marilyne Stains, Melissa Dancy, Christian Merino, Naneh Apkarian, Jeffrey R. Raker, Estrella Johnson
It is well established in the literature that active learning instruction in introductory STEM courses results in many desired student outcomes. Yet, regular use of high-quality active learning is not the norm in many STEM departments. Using results of a national survey, we identified 16 departments where multiple instructors reported using high levels of active learning in their introductory chemistry, mathematics, or physics courses. We conducted interviews with 27 instructors in these 16 departments to better understand the characteristics of such departments. Using grounded theory methodology, we developed a model that highlights relevant characteristics of departments with high use of active learning instruction in their introductory courses. According to this model, there are four main, interconnected characteristics of such departments: motivated people, knowledge about active learning, opportunities, and cultures and structures that support active learning. These departments have one or more people who are motivated to promote the use of active learning. These motivated people have knowledge about active learning as well as access to opportunities to promote the use of active learning. Finally, these departments have cultures and structures that support the use of active learning. In these departments, there is a positive feedback loop that works iteratively over time, where motivated people shape cultures/structures and these cultures/structures in turn increase the number and level of commitment of the motivated people. A second positive feedback loop was found between the positive outcome of using active learning instruction and the strengthening of cultures/structures supportive of active learning. According to the model, there are two main take-away messages for those interested in promoting the use of active learning. The first is that all four components of the model are important. A weak or missing component may limit the desired outcome. The second is that desired outcomes are obtained and strengthened over time through two positive feedback loops. Thus, there is a temporal aspect to change. In all of the departments that were part of our study, the changes took at minimum several years to enact. While our model was developed using only high-use of active learning departments and future work is needed to develop the model into a full change theory, our results do suggest that change efforts may be made more effective by increasing the robustness of the four components and the connections between them.
{"title":"Characteristics of departments with high-use of active learning in introductory STEM courses: implications for departmental transformation","authors":"Alexandra C. Lau, Charles Henderson, Marilyne Stains, Melissa Dancy, Christian Merino, Naneh Apkarian, Jeffrey R. Raker, Estrella Johnson","doi":"10.1186/s40594-024-00470-x","DOIUrl":"https://doi.org/10.1186/s40594-024-00470-x","url":null,"abstract":"It is well established in the literature that active learning instruction in introductory STEM courses results in many desired student outcomes. Yet, regular use of high-quality active learning is not the norm in many STEM departments. Using results of a national survey, we identified 16 departments where multiple instructors reported using high levels of active learning in their introductory chemistry, mathematics, or physics courses. We conducted interviews with 27 instructors in these 16 departments to better understand the characteristics of such departments. Using grounded theory methodology, we developed a model that highlights relevant characteristics of departments with high use of active learning instruction in their introductory courses. According to this model, there are four main, interconnected characteristics of such departments: motivated people, knowledge about active learning, opportunities, and cultures and structures that support active learning. These departments have one or more people who are motivated to promote the use of active learning. These motivated people have knowledge about active learning as well as access to opportunities to promote the use of active learning. Finally, these departments have cultures and structures that support the use of active learning. In these departments, there is a positive feedback loop that works iteratively over time, where motivated people shape cultures/structures and these cultures/structures in turn increase the number and level of commitment of the motivated people. A second positive feedback loop was found between the positive outcome of using active learning instruction and the strengthening of cultures/structures supportive of active learning. According to the model, there are two main take-away messages for those interested in promoting the use of active learning. The first is that all four components of the model are important. A weak or missing component may limit the desired outcome. The second is that desired outcomes are obtained and strengthened over time through two positive feedback loops. Thus, there is a temporal aspect to change. In all of the departments that were part of our study, the changes took at minimum several years to enact. While our model was developed using only high-use of active learning departments and future work is needed to develop the model into a full change theory, our results do suggest that change efforts may be made more effective by increasing the robustness of the four components and the connections between them.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139764179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-07DOI: 10.1186/s40594-024-00468-5
Campbell R. Bego, Keith B. Lyle, Patricia A. S. Ralston, J. Immekus, R. Chastain, Lora D. Haynes, Lenore K. Hoyt, Rachel M. Pigg, Shira D. Rabin, Matthew W. Scobee, Thomas L. Starr
{"title":"Single-paper meta-analyses of the effects of spaced retrieval practice in nine introductory STEM courses: is the glass half full or half empty?","authors":"Campbell R. Bego, Keith B. Lyle, Patricia A. S. Ralston, J. Immekus, R. Chastain, Lora D. Haynes, Lenore K. Hoyt, Rachel M. Pigg, Shira D. Rabin, Matthew W. Scobee, Thomas L. Starr","doi":"10.1186/s40594-024-00468-5","DOIUrl":"https://doi.org/10.1186/s40594-024-00468-5","url":null,"abstract":"","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-07DOI: 10.1186/s40594-024-00468-5
Campbell R. Bego, Keith B. Lyle, Patricia A. S. Ralston, J. Immekus, R. Chastain, Lora D. Haynes, Lenore K. Hoyt, Rachel M. Pigg, Shira D. Rabin, Matthew W. Scobee, Thomas L. Starr
{"title":"Single-paper meta-analyses of the effects of spaced retrieval practice in nine introductory STEM courses: is the glass half full or half empty?","authors":"Campbell R. Bego, Keith B. Lyle, Patricia A. S. Ralston, J. Immekus, R. Chastain, Lora D. Haynes, Lenore K. Hoyt, Rachel M. Pigg, Shira D. Rabin, Matthew W. Scobee, Thomas L. Starr","doi":"10.1186/s40594-024-00468-5","DOIUrl":"https://doi.org/10.1186/s40594-024-00468-5","url":null,"abstract":"","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1186/s40594-024-00467-6
Jessica Sperling, Menna Mburi, Megan Gray, Lorrie Schmid, Ann Saterbak
Students’ academic self-efficacy maximizes likelihood for success and retention, yet prior research suggests that historically underrepresented (minoritized) undergraduate students in higher education and in college-level engineering show lower self-efficacy, which has been linked to histories of systemic exclusion. To address such gaps in student success, this work examines the effect of a new first-year undergraduate engineering design course on students’ self-efficacy, as measured by students’ assessment of their ability to achieve engineering design goals, and their confidence in their professional skills such as teamwork, communication, and leadership. It draws upon two aligned survey studies that examine this development (a) among the students participating in the course during the academic semester and (b) among both course participants and non-participants in the year following the course. Survey results for all students were considered, with attention to specific demographic subgroups traditionally underrepresented in engineering. Analyses indicate effect of the course on self-efficacy and other examined constructs, such as communication and teamwork, during the course semester and continued effects in engineering design self-efficacy and tinkering self-efficacy in the year following course participation. Results also reveal differences for specific racial/ethnic and gender/sex subgroups in numerous constructs, including suggestion of specific effect for female students. This study’s focus on the implication of engineering design education on self-efficacy and other critical professional outcomes, as well as its attention to specific demographic subgroups, adds to research on engineering education and the effect of design-focused coursework using project-based learning. The study indicates an increased potential role for such coursework, as early as the first year of a university trajectory, in fostering student growth and increased representation in the field. Findings on differences by gender/sex and by racial/ethnic groups, including clearer positive effect for female students but more complexity in effect for underrepresented racial/ethnic groups, support added research probing experience and outcomes within and across these groups.
{"title":"Effects of a first-year undergraduate engineering design course: survey study of implications for student self-efficacy and professional skills, with focus on gender/sex and race/ethnicity","authors":"Jessica Sperling, Menna Mburi, Megan Gray, Lorrie Schmid, Ann Saterbak","doi":"10.1186/s40594-024-00467-6","DOIUrl":"https://doi.org/10.1186/s40594-024-00467-6","url":null,"abstract":"Students’ academic self-efficacy maximizes likelihood for success and retention, yet prior research suggests that historically underrepresented (minoritized) undergraduate students in higher education and in college-level engineering show lower self-efficacy, which has been linked to histories of systemic exclusion. To address such gaps in student success, this work examines the effect of a new first-year undergraduate engineering design course on students’ self-efficacy, as measured by students’ assessment of their ability to achieve engineering design goals, and their confidence in their professional skills such as teamwork, communication, and leadership. It draws upon two aligned survey studies that examine this development (a) among the students participating in the course during the academic semester and (b) among both course participants and non-participants in the year following the course. Survey results for all students were considered, with attention to specific demographic subgroups traditionally underrepresented in engineering. Analyses indicate effect of the course on self-efficacy and other examined constructs, such as communication and teamwork, during the course semester and continued effects in engineering design self-efficacy and tinkering self-efficacy in the year following course participation. Results also reveal differences for specific racial/ethnic and gender/sex subgroups in numerous constructs, including suggestion of specific effect for female students. This study’s focus on the implication of engineering design education on self-efficacy and other critical professional outcomes, as well as its attention to specific demographic subgroups, adds to research on engineering education and the effect of design-focused coursework using project-based learning. The study indicates an increased potential role for such coursework, as early as the first year of a university trajectory, in fostering student growth and increased representation in the field. Findings on differences by gender/sex and by racial/ethnic groups, including clearer positive effect for female students but more complexity in effect for underrepresented racial/ethnic groups, support added research probing experience and outcomes within and across these groups.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139658582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1186/s40594-024-00469-4
Fan Ouyang, Weiqi Xu
Educational robotics, as emerging technologies, have been widely applied in the field of STEM education to enhance the instructional and learning quality. Although previous research has highlighted potentials of applying educational robotics in STEM education, there is a lack of empirical evidence to investigate and understand the overall effects of using educational robotics in STEM education as well as the critical factors that influence the effects. To fill this gap, this research conducted a multilevel meta-analysis to examine the overall effect size of using educational robotics in STEM education under K-16 education based on 30 effect sizes from 21 studies published between 2010 and 2022. Furthermore, we examined the possible moderator variables of robot-assisted STEM education, including discipline, educational level, instructor support, instructional strategy, interactive type, intervention duration, robotic type, and control group condition. Results showed that educational robotics had the moderate-sized effects on students’ STEM learning compared to the non-robotics condition. Specifically, educational robotics had moderate-sized effects on students’ learning performances and learning attitudes, and insignificant effects on the improvement of computational thinking. Furthermore, we examined the influence of moderator variables in robot-assisted STEM education. Results indicated that the moderator variable of discipline was significantly associated with the effects of educational robotics on STEM learning. Based on the findings, educational and technological implications were provided to guide future research and practice in the application of educational robotics in STEM education.
{"title":"The effects of educational robotics in STEM education: a multilevel meta-analysis","authors":"Fan Ouyang, Weiqi Xu","doi":"10.1186/s40594-024-00469-4","DOIUrl":"https://doi.org/10.1186/s40594-024-00469-4","url":null,"abstract":"Educational robotics, as emerging technologies, have been widely applied in the field of STEM education to enhance the instructional and learning quality. Although previous research has highlighted potentials of applying educational robotics in STEM education, there is a lack of empirical evidence to investigate and understand the overall effects of using educational robotics in STEM education as well as the critical factors that influence the effects. To fill this gap, this research conducted a multilevel meta-analysis to examine the overall effect size of using educational robotics in STEM education under K-16 education based on 30 effect sizes from 21 studies published between 2010 and 2022. Furthermore, we examined the possible moderator variables of robot-assisted STEM education, including discipline, educational level, instructor support, instructional strategy, interactive type, intervention duration, robotic type, and control group condition. Results showed that educational robotics had the moderate-sized effects on students’ STEM learning compared to the non-robotics condition. Specifically, educational robotics had moderate-sized effects on students’ learning performances and learning attitudes, and insignificant effects on the improvement of computational thinking. Furthermore, we examined the influence of moderator variables in robot-assisted STEM education. Results indicated that the moderator variable of discipline was significantly associated with the effects of educational robotics on STEM learning. Based on the findings, educational and technological implications were provided to guide future research and practice in the application of educational robotics in STEM education.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139658586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-29DOI: 10.1186/s40594-023-00461-4
Yung Chun, Jason Jabbari, Wenrui Huang, Carol Graham
Despite the significant relationship between life satisfaction and education, less is known about the connection between life satisfaction and informal learning in the context of training and apprenticeship programs. This paper examines the influence of the LaunchCode program, a novel training and apprentice program in STEM, on participant’s life satisfaction and optimism. We also explore mediating roles of STEM employment and earnings, as well as moderating role of participants’ educational attainment levels. We find high life satisfaction and optimism among those who completed both the training course and the apprenticeship component. In addition, we find a significant mediation effect of STEM employment on the relationships between program participation and current life satisfaction, as well as optimism, among the apprenticeship completers. Finally, we find a significant moderation effect of one’s education level on the relationship between program completion and finding a STEM job, such that participants with a college degree are more likely to secure STEM employment through coursework alone. Our findings highlight the significance of apprenticeships in increasing life satisfaction and optimism, as well as the importance of STEM employment in explaining the significant effect of apprenticeships on life satisfaction and optimism. These findings suggest that what people do for a living is more important than how much they earn. However, while apprenticeships may offer an alternative route to the labor market, education may still facilitate connections to STEM employment in the absence of an apprenticeship.
{"title":"Can training and apprentice programs in STEM increase worker life satisfaction and optimism?","authors":"Yung Chun, Jason Jabbari, Wenrui Huang, Carol Graham","doi":"10.1186/s40594-023-00461-4","DOIUrl":"https://doi.org/10.1186/s40594-023-00461-4","url":null,"abstract":"Despite the significant relationship between life satisfaction and education, less is known about the connection between life satisfaction and informal learning in the context of training and apprenticeship programs. This paper examines the influence of the LaunchCode program, a novel training and apprentice program in STEM, on participant’s life satisfaction and optimism. We also explore mediating roles of STEM employment and earnings, as well as moderating role of participants’ educational attainment levels. We find high life satisfaction and optimism among those who completed both the training course and the apprenticeship component. In addition, we find a significant mediation effect of STEM employment on the relationships between program participation and current life satisfaction, as well as optimism, among the apprenticeship completers. Finally, we find a significant moderation effect of one’s education level on the relationship between program completion and finding a STEM job, such that participants with a college degree are more likely to secure STEM employment through coursework alone. Our findings highlight the significance of apprenticeships in increasing life satisfaction and optimism, as well as the importance of STEM employment in explaining the significant effect of apprenticeships on life satisfaction and optimism. These findings suggest that what people do for a living is more important than how much they earn. However, while apprenticeships may offer an alternative route to the labor market, education may still facilitate connections to STEM employment in the absence of an apprenticeship.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139584890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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