Pub Date : 2024-08-02DOI: 10.1186/s40594-024-00493-4
Maya Usher, Miri Barak
As artificial intelligence (AI) technology rapidly advances, it becomes imperative to equip students with tools to navigate through the many intricate ethical considerations surrounding its development and use. Despite growing recognition of this necessity, the integration of AI ethics into higher education curricula remains limited. This paucity highlights an urgent need for comprehensive ethics education initiatives in AI, particularly for science and engineering students who are at the forefront of these innovations. Hence, this research investigates the role of an online explicit-reflective learning module in fostering science and engineering graduate students' ethical knowledge, awareness, and problem-solving skills. The study’s participants included 90 graduate students specializing in diverse science and engineering research tracks. Employing the embedded mixed-methods approach, data were collected from pre- and post-intervention questionnaires with closed-ended and open-ended questions. The study's results indicate that the online explicit-reflective learning module significantly enhanced students' knowledge of AI ethics. Initially, students exhibited a medium–high level of perceived ethical awareness, which saw a modest but statistically significant enhancement following the participation. Notably, a more distinct increase was observed in students' actual awareness of ethical issues in AI, before and after the intervention. Content analysis of students’ responses to the open-ended questions revealed an increase in their ability to identify and articulate concerns relating to privacy breaches, the utilization of flawed datasets, and issues of biased social representation. Moreover, while students initially displayed limited problem-solving abilities in AI ethics, a considerable enhancement in these competencies was evident post-intervention. The study results highlight the important role of explicit-reflective learning in preparing future professionals in science and engineering with the skills necessary for ethical decision-making. The study highlights the need for placing more emphasis not only on students’ ability to identify AI-related ethical issues but also on their capacity to resolve and perhaps mitigate the impact of such ethical dilemmas.
{"title":"Unpacking the role of AI ethics online education for science and engineering students","authors":"Maya Usher, Miri Barak","doi":"10.1186/s40594-024-00493-4","DOIUrl":"https://doi.org/10.1186/s40594-024-00493-4","url":null,"abstract":"As artificial intelligence (AI) technology rapidly advances, it becomes imperative to equip students with tools to navigate through the many intricate ethical considerations surrounding its development and use. Despite growing recognition of this necessity, the integration of AI ethics into higher education curricula remains limited. This paucity highlights an urgent need for comprehensive ethics education initiatives in AI, particularly for science and engineering students who are at the forefront of these innovations. Hence, this research investigates the role of an online explicit-reflective learning module in fostering science and engineering graduate students' ethical knowledge, awareness, and problem-solving skills. The study’s participants included 90 graduate students specializing in diverse science and engineering research tracks. Employing the embedded mixed-methods approach, data were collected from pre- and post-intervention questionnaires with closed-ended and open-ended questions. The study's results indicate that the online explicit-reflective learning module significantly enhanced students' knowledge of AI ethics. Initially, students exhibited a medium–high level of perceived ethical awareness, which saw a modest but statistically significant enhancement following the participation. Notably, a more distinct increase was observed in students' actual awareness of ethical issues in AI, before and after the intervention. Content analysis of students’ responses to the open-ended questions revealed an increase in their ability to identify and articulate concerns relating to privacy breaches, the utilization of flawed datasets, and issues of biased social representation. Moreover, while students initially displayed limited problem-solving abilities in AI ethics, a considerable enhancement in these competencies was evident post-intervention. The study results highlight the important role of explicit-reflective learning in preparing future professionals in science and engineering with the skills necessary for ethical decision-making. The study highlights the need for placing more emphasis not only on students’ ability to identify AI-related ethical issues but also on their capacity to resolve and perhaps mitigate the impact of such ethical dilemmas.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141886454","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 : 2024-07-30DOI: 10.1186/s40594-024-00494-3
Alejandra J. Magana, Joreen Arigye, Abasiafak Udosen, Joseph A. Lyon, Parth Joshi, Elsje Pienaar
This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on three two-week-long team-based computational modeling and simulation projects and reflected upon their experience. Results characterized different levels of engagement with computational model-based learning in the form of problem formulation and model planning, implementation and use of the computational model, evaluation, and interpretation of the outputs of the model, as well as reflection on the process. Results report on students’ levels of representational competence as related to the computational model, meaning-making of the underlying code of the computational model, graphical representations generated by the model, and explanations and interpretations of the output representations. Results also described regulatory skills as challenges and strategies related to programming skills, challenges and strategies related to meaning-making skills for understanding and connecting the science to the code and the results, and challenges and strategies related to process management mainly focused on project management skills. Characterizing dimensions of computational model-based reasoning provides insights that showcase students’ learning, benefits, and challenges when engaging in team-based computational modeling and simulation projects. This study also contributes to evidence-based scaffolding strategies that can support undergraduate students' engagement in the context of computational modeling and simulation.
{"title":"Scaffolded team-based computational modeling and simulation projects for promoting representational competence and regulatory skills","authors":"Alejandra J. Magana, Joreen Arigye, Abasiafak Udosen, Joseph A. Lyon, Parth Joshi, Elsje Pienaar","doi":"10.1186/s40594-024-00494-3","DOIUrl":"https://doi.org/10.1186/s40594-024-00494-3","url":null,"abstract":"This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on three two-week-long team-based computational modeling and simulation projects and reflected upon their experience. Results characterized different levels of engagement with computational model-based learning in the form of problem formulation and model planning, implementation and use of the computational model, evaluation, and interpretation of the outputs of the model, as well as reflection on the process. Results report on students’ levels of representational competence as related to the computational model, meaning-making of the underlying code of the computational model, graphical representations generated by the model, and explanations and interpretations of the output representations. Results also described regulatory skills as challenges and strategies related to programming skills, challenges and strategies related to meaning-making skills for understanding and connecting the science to the code and the results, and challenges and strategies related to process management mainly focused on project management skills. Characterizing dimensions of computational model-based reasoning provides insights that showcase students’ learning, benefits, and challenges when engaging in team-based computational modeling and simulation projects. This study also contributes to evidence-based scaffolding strategies that can support undergraduate students' engagement in the context of computational modeling and simulation.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141871076","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 : 2024-07-18DOI: 10.1186/s40594-024-00489-0
Hyun Kyoung Ro, Stephanie Aguilar-Smith, Shirley Yang Anderson, Tricia Rodriguez, Elizabeth J. Ramon, Damaris Javier
Enrolling over 60% of all Latinx undergraduate students, Hispanic-serving institutions (HSIs) are poised to play a critical role in diversifying and strengthening Science, Technology, Engineering, and Mathematics (STEM) education and the STEM workforce. However, how HSIs serve STEM students is not well understood. Accordingly, guided by Garcia et al. (Review of Educational Research 89:5–745, 2019) multidimensional servingness framework, we conducted a systematic review of the research on STEM education within the HSI context. By attending to STEM education in conversations around how HSIs may serve Latinx students and their campus communities, our ultimate aim is to improve STEM education particularly at HSIs and advance STEM servingness more broadly. Through our systematic review of STEM education research at HSIs, we identified (under)studied components of servingness and gaps within this literature base. Specifically, among the 128 qualifying articles, nearly two-thirds focused on student outcomes but overlooked institutions’ organizational context, raising questions about the effect(iveness) of the studied interventions. Additionally, we identified three thematic gaps in this literature: ghosting the HSI context (i.e., relying on HSIs as research sites without considering the unique HSI context); ghosting Latinx culture (i.e., decentering Latinx students and the Latinx community’s sociocultural aspects and assets), and ghosting people and places (i.e., under-examining certain student populations like Latino men in STEM and places like Hispanic-serving community colleges). Ultimately, our study extends the field’s understanding of servingness by attending to STEM education within the context of HSI institutions. By systematically reviewing studies on STEM education at HSIs, we identified (under)studied components of servingness and patterned gaps within this literature. In doing so, we highlight opportunities to advance STEM servingness at HSIs through future research, policy, and practice. Collectively, these avenues hold the promise of improving STEM education and diversifying the STEM workforce.
{"title":"Attending to STEM education in servingness at Hispanic-serving institutions: a systematic review of more than a decade of scholarship","authors":"Hyun Kyoung Ro, Stephanie Aguilar-Smith, Shirley Yang Anderson, Tricia Rodriguez, Elizabeth J. Ramon, Damaris Javier","doi":"10.1186/s40594-024-00489-0","DOIUrl":"https://doi.org/10.1186/s40594-024-00489-0","url":null,"abstract":"Enrolling over 60% of all Latinx undergraduate students, Hispanic-serving institutions (HSIs) are poised to play a critical role in diversifying and strengthening Science, Technology, Engineering, and Mathematics (STEM) education and the STEM workforce. However, how HSIs serve STEM students is not well understood. Accordingly, guided by Garcia et al. (Review of Educational Research 89:5–745, 2019) multidimensional servingness framework, we conducted a systematic review of the research on STEM education within the HSI context. By attending to STEM education in conversations around how HSIs may serve Latinx students and their campus communities, our ultimate aim is to improve STEM education particularly at HSIs and advance STEM servingness more broadly. Through our systematic review of STEM education research at HSIs, we identified (under)studied components of servingness and gaps within this literature base. Specifically, among the 128 qualifying articles, nearly two-thirds focused on student outcomes but overlooked institutions’ organizational context, raising questions about the effect(iveness) of the studied interventions. Additionally, we identified three thematic gaps in this literature: ghosting the HSI context (i.e., relying on HSIs as research sites without considering the unique HSI context); ghosting Latinx culture (i.e., decentering Latinx students and the Latinx community’s sociocultural aspects and assets), and ghosting people and places (i.e., under-examining certain student populations like Latino men in STEM and places like Hispanic-serving community colleges). Ultimately, our study extends the field’s understanding of servingness by attending to STEM education within the context of HSI institutions. By systematically reviewing studies on STEM education at HSIs, we identified (under)studied components of servingness and patterned gaps within this literature. In doing so, we highlight opportunities to advance STEM servingness at HSIs through future research, policy, and practice. Collectively, these avenues hold the promise of improving STEM education and diversifying the STEM workforce.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141742409","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 : 2024-07-15DOI: 10.1186/s40594-024-00492-5
Nigar Altindis, Kathleen A. Bowe, Brock Couch, Christopher F. Bauer, Melissa L. Aikens
{"title":"Exploring the role of disciplinary knowledge in students’ covariational reasoning during graphical interpretation","authors":"Nigar Altindis, Kathleen A. Bowe, Brock Couch, Christopher F. Bauer, Melissa L. Aikens","doi":"10.1186/s40594-024-00492-5","DOIUrl":"https://doi.org/10.1186/s40594-024-00492-5","url":null,"abstract":"","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141648059","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 : 2024-07-12DOI: 10.1186/s40594-024-00491-6
Martin Mayerhofer, Marko Lüftenegger, Michael Eichmair
To master the secondary–tertiary transition into fields of science, technology, engineering, and mathematics (STEM), academic self-beliefs play a pivotal role, especially those related to learning mathematics. The framework of expectancy-value theory has been used widely in primary and secondary education and partly in tertiary education to assess the self-beliefs of students in terms of expectancy of success and perceived value of mathematics. Based on this framework, we measured how the intrinsic value, the attainment value, the utility value, and the cost of learning mathematics as well as the expectancy of success when learning mathematics developed during the secondary–tertiary transition of students into STEM fields. Data were collected in a quantitative repeated-measures questionnaire study with two measurement points (measurement point 1: n = 710, measurement point 2: n = 487, listwise: n = 409). We conducted a latent profile analysis to identify the prevalent patterns of mathematics self-beliefs, called profiles, at each of the two measurement points. We studied the relation of these profiles to prior education, achievement at school, and achievement at university. By performing a latent transition analysis, we determined the probabilities of transitioning from the initial profiles to the posterior profiles. Our analysis revealed four distinct prevalent profiles at each measurement point, ranging from highly favorable (i.e., high expectancy, high value, low cost) to highly unfavorable with respect to learning mathematics. The profiles with favorable manifestations remained stable over time, while those with undesirable manifestations deteriorated further. We observed a sharp increase in cost across all profiles. Prior achievement correlated strongly with profile membership. The expenditure of time and energy increased sharply during the secondary–tertiary transition, independently of the students’ initial motivational patterns. The perceived utility of mathematics for potential future careers was shown to be a significant source of motivation. The role of mathematics in future careers should thus be made visible in university teaching. Keeping the detrimental development of initially undesirable motivational profiles in mind, university teachers should create ample opportunities for students to gain a sense of accomplishment.
{"title":"The development of mathematics expectancy-value profiles during the secondary–tertiary transition into STEM fields","authors":"Martin Mayerhofer, Marko Lüftenegger, Michael Eichmair","doi":"10.1186/s40594-024-00491-6","DOIUrl":"https://doi.org/10.1186/s40594-024-00491-6","url":null,"abstract":"To master the secondary–tertiary transition into fields of science, technology, engineering, and mathematics (STEM), academic self-beliefs play a pivotal role, especially those related to learning mathematics. The framework of expectancy-value theory has been used widely in primary and secondary education and partly in tertiary education to assess the self-beliefs of students in terms of expectancy of success and perceived value of mathematics. Based on this framework, we measured how the intrinsic value, the attainment value, the utility value, and the cost of learning mathematics as well as the expectancy of success when learning mathematics developed during the secondary–tertiary transition of students into STEM fields. Data were collected in a quantitative repeated-measures questionnaire study with two measurement points (measurement point 1: n = 710, measurement point 2: n = 487, listwise: n = 409). We conducted a latent profile analysis to identify the prevalent patterns of mathematics self-beliefs, called profiles, at each of the two measurement points. We studied the relation of these profiles to prior education, achievement at school, and achievement at university. By performing a latent transition analysis, we determined the probabilities of transitioning from the initial profiles to the posterior profiles. Our analysis revealed four distinct prevalent profiles at each measurement point, ranging from highly favorable (i.e., high expectancy, high value, low cost) to highly unfavorable with respect to learning mathematics. The profiles with favorable manifestations remained stable over time, while those with undesirable manifestations deteriorated further. We observed a sharp increase in cost across all profiles. Prior achievement correlated strongly with profile membership. The expenditure of time and energy increased sharply during the secondary–tertiary transition, independently of the students’ initial motivational patterns. The perceived utility of mathematics for potential future careers was shown to be a significant source of motivation. The role of mathematics in future careers should thus be made visible in university teaching. Keeping the detrimental development of initially undesirable motivational profiles in mind, university teachers should create ample opportunities for students to gain a sense of accomplishment.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141611695","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 : 2024-07-11DOI: 10.1186/s40594-024-00490-7
Leonora Kaldaras, Karen D. Wang, Jocelyn E. Nardo, Argenta Price, Katherine Perkins, Carl Wieman, Shima Salehi
Constructivist learning theories consider deep understanding of the content to be the result of engagement in relevant learning activities with appropriate scaffolding that provides the learner with timely and substantive feedback. However, any group of students has a variety of levels of knowledge and cognitive development, which makes providing appropriate individual-level scaffolding and feedback challenging in the classroom. Computer simulations can help meet this challenge by providing technology-enhanced embedded scaffolding and feedback via specific simulation design. The use of computer simulations does not, however, guarantee development of deep science understanding. Careful research-driven design of the simulation and the accompanying teaching structure both play critical roles in achieving the desired learning outcomes. In this paper, we discuss the capabilities of computer simulations and the issues that can impact the learning outcomes when combining technology-enhanced scaffolding and feedback with external teaching structures. We conclude with suggestions of promising research avenues on simulation design and their use in the classroom to help students achieve deep science understanding.
{"title":"Employing technology-enhanced feedback and scaffolding to support the development of deep science understanding using computer simulations","authors":"Leonora Kaldaras, Karen D. Wang, Jocelyn E. Nardo, Argenta Price, Katherine Perkins, Carl Wieman, Shima Salehi","doi":"10.1186/s40594-024-00490-7","DOIUrl":"https://doi.org/10.1186/s40594-024-00490-7","url":null,"abstract":"Constructivist learning theories consider deep understanding of the content to be the result of engagement in relevant learning activities with appropriate scaffolding that provides the learner with timely and substantive feedback. However, any group of students has a variety of levels of knowledge and cognitive development, which makes providing appropriate individual-level scaffolding and feedback challenging in the classroom. Computer simulations can help meet this challenge by providing technology-enhanced embedded scaffolding and feedback via specific simulation design. The use of computer simulations does not, however, guarantee development of deep science understanding. Careful research-driven design of the simulation and the accompanying teaching structure both play critical roles in achieving the desired learning outcomes. In this paper, we discuss the capabilities of computer simulations and the issues that can impact the learning outcomes when combining technology-enhanced scaffolding and feedback with external teaching structures. We conclude with suggestions of promising research avenues on simulation design and their use in the classroom to help students achieve deep science understanding.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141611806","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 : 2024-07-08DOI: 10.1186/s40594-024-00488-1
Yasemin Copur-Gencturk, Sebnem Atabas
What and how teachers learn through teaching without external guidance has long been of interest to researchers. Yet limited research has been conducted to investigate how learning through teaching occurs. The microgenetic approach (Siegler and Crowley, American Psychologist 46:606–620, 1991) has been useful in identifying the process of student learning. Using this approach, we investigated the development of teacher knowledge through teaching as well as which factors hinder or promote such development. Our findings suggest that teachers developed various components of teacher knowledge through teaching without external professional guidance. Further, we found that the extent to which teachers gained content-free or content-specific knowledge through teaching depended on their robust understanding of the concept being taught (i.e., content knowledge), the cognitive demand of the tasks used in teaching, and the lesson structure chosen (i.e., student centered vs. teacher centered). In this study, we explored teacher learning through teaching and identified the sources leading to such learning. Our findings underscore the importance of teachers’ robust understanding of the content being taught, the tasks used in teaching, and a lesson structure that promotes teachers’ learning through teaching on their own.
{"title":"A microgenetic analysis of teachers’ learning through teaching","authors":"Yasemin Copur-Gencturk, Sebnem Atabas","doi":"10.1186/s40594-024-00488-1","DOIUrl":"https://doi.org/10.1186/s40594-024-00488-1","url":null,"abstract":"What and how teachers learn through teaching without external guidance has long been of interest to researchers. Yet limited research has been conducted to investigate how learning through teaching occurs. The microgenetic approach (Siegler and Crowley, American Psychologist 46:606–620, 1991) has been useful in identifying the process of student learning. Using this approach, we investigated the development of teacher knowledge through teaching as well as which factors hinder or promote such development. Our findings suggest that teachers developed various components of teacher knowledge through teaching without external professional guidance. Further, we found that the extent to which teachers gained content-free or content-specific knowledge through teaching depended on their robust understanding of the concept being taught (i.e., content knowledge), the cognitive demand of the tasks used in teaching, and the lesson structure chosen (i.e., student centered vs. teacher centered). In this study, we explored teacher learning through teaching and identified the sources leading to such learning. Our findings underscore the importance of teachers’ robust understanding of the content being taught, the tasks used in teaching, and a lesson structure that promotes teachers’ learning through teaching on their own.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141571700","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 : 2024-06-18DOI: 10.1186/s40594-024-00487-2
Chuanwen Yang, Jinying Zhang, Yongbin Hu, Xianmin Yang, Meitan Chen, Mengyue Shan, Li Li
Virtual reality (VR) has emerged as a promising tool for enhancing practical skills of students in science and engineering education. However, the effectiveness of VR in this context remains unclear due to inconsistent findings across studies. This meta-analysis aimed to synthesize the existing literature and investigate the overall impact of VR on practical skills among science and engineering students. A comprehensive literature search was conducted, yielding 37 empirical studies published between 2000 and 2022 that met the inclusion criteria. The analysis included 72 effect sizes, and the random-effects model was employed to account for heterogeneity among studies. The results revealed a significant moderate positive effect of VR on practical skills (g = 0.477). Moderator analyses indicated that the disciplinary category significantly influenced the effect size, with medical students demonstrating the largest improvement in practical skills. Additionally, using the practice approach combining with traditional methods yielded the highest effect size among the instructional approaches. The study also considered potential reasons behind the observed results and acknowledged certain constraints. Additionally, it proposed avenues for further inquiry to advance the understanding of the subject matter.
{"title":"The impact of virtual reality on practical skills for students in science and engineering education: a meta-analysis","authors":"Chuanwen Yang, Jinying Zhang, Yongbin Hu, Xianmin Yang, Meitan Chen, Mengyue Shan, Li Li","doi":"10.1186/s40594-024-00487-2","DOIUrl":"https://doi.org/10.1186/s40594-024-00487-2","url":null,"abstract":"Virtual reality (VR) has emerged as a promising tool for enhancing practical skills of students in science and engineering education. However, the effectiveness of VR in this context remains unclear due to inconsistent findings across studies. This meta-analysis aimed to synthesize the existing literature and investigate the overall impact of VR on practical skills among science and engineering students. A comprehensive literature search was conducted, yielding 37 empirical studies published between 2000 and 2022 that met the inclusion criteria. The analysis included 72 effect sizes, and the random-effects model was employed to account for heterogeneity among studies. The results revealed a significant moderate positive effect of VR on practical skills (g = 0.477). Moderator analyses indicated that the disciplinary category significantly influenced the effect size, with medical students demonstrating the largest improvement in practical skills. Additionally, using the practice approach combining with traditional methods yielded the highest effect size among the instructional approaches. The study also considered potential reasons behind the observed results and acknowledged certain constraints. Additionally, it proposed avenues for further inquiry to advance the understanding of the subject matter.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503972","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}
The under-representation of women and other minority group members in STEM (Science, Technology, Engineering, and Mathematics) academia is a problem internationally and is attributed in part to hostile workplace cultures. We draw on the social identity perspective to examine the dynamic inter and intragroup processes entailed in these experiences. In this paper, we report a reflexive thematic analysis of 219 responses to a free-text question on bullying and harassment embedded in a national survey of 40 STEM departments from across the United Kingdom. Most were women (53%) at an early, pre-lectureship career stage. Our analysis shows who is the perpetrator and who is the victim is not arbitrary, and neither is the form that it takes; majority group members draw on discourses that warrant the exclusion of minority group members (e.g., women are not smart; incompatibility with religious identity). In this ‘othering’, minority group members learn that one is not regarded as a bona fide STEM academic ingroup member and accordingly are constrained in being able to claim and act on that identity. Thus, it is not just the acts themselves that are problematic, but the ways in which being denied a shared STEM academic identity is consequential for a range of putative benefits and leads to a range of strategies that all confer costs. The solution must rest with senior STEM academics and with institutions. First, we need to challenge discourses and practices that narrowly define the boundaries and content of STEM academic identity. Second, all members of a community need to perceive an alignment between the purported values of an organisation for diversity, inclusion, and respect and how that organisation responds when those principles are violated. Formal processes of remedy need to recognise the dynamics entailed in status differences and remove the onus of complaint from isolated, low status individuals. In addition, there is a need to recognise the ways in which perpetrators are embedded in networks of support both within and without the university; and the importance, therefore, of widening the scope of evidence gathering and intervention.
{"title":"“That’s just the way it is”: bullying and harassment in STEM academia","authors":"Estelle Corbett, Julie Barnett, Lucy Yeomans, Leda Blackwood","doi":"10.1186/s40594-024-00486-3","DOIUrl":"https://doi.org/10.1186/s40594-024-00486-3","url":null,"abstract":"The under-representation of women and other minority group members in STEM (Science, Technology, Engineering, and Mathematics) academia is a problem internationally and is attributed in part to hostile workplace cultures. We draw on the social identity perspective to examine the dynamic inter and intragroup processes entailed in these experiences. In this paper, we report a reflexive thematic analysis of 219 responses to a free-text question on bullying and harassment embedded in a national survey of 40 STEM departments from across the United Kingdom. Most were women (53%) at an early, pre-lectureship career stage. Our analysis shows who is the perpetrator and who is the victim is not arbitrary, and neither is the form that it takes; majority group members draw on discourses that warrant the exclusion of minority group members (e.g., women are not smart; incompatibility with religious identity). In this ‘othering’, minority group members learn that one is not regarded as a bona fide STEM academic ingroup member and accordingly are constrained in being able to claim and act on that identity. Thus, it is not just the acts themselves that are problematic, but the ways in which being denied a shared STEM academic identity is consequential for a range of putative benefits and leads to a range of strategies that all confer costs. The solution must rest with senior STEM academics and with institutions. First, we need to challenge discourses and practices that narrowly define the boundaries and content of STEM academic identity. Second, all members of a community need to perceive an alignment between the purported values of an organisation for diversity, inclusion, and respect and how that organisation responds when those principles are violated. Formal processes of remedy need to recognise the dynamics entailed in status differences and remove the onus of complaint from isolated, low status individuals. In addition, there is a need to recognise the ways in which perpetrators are embedded in networks of support both within and without the university; and the importance, therefore, of widening the scope of evidence gathering and intervention.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190112","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 : 2024-05-30DOI: 10.1186/s40594-024-00485-4
Anastasia Chouvalova, Anisha S. Navlekar, Devin J. Mills, Mikayla Adams, Sami Daye, Fatima De Anda, Lisa B. Limeri
Students employ a variety of study strategies to learn and master content in their courses. Strategies vary widely in their effectiveness for promoting deep, long-term learning, yet most students use ineffective strategies frequently. Efforts to educate students about effective study strategies have revealed that knowledge about effective strategies is by itself insufficient for encouraging widespread and lasting changes. An important next step is to uncover factors that influence the decisions students make about study strategy use. We explored the association between beliefs about intelligence (mindset, universality, and brilliance) and study strategies. The most effective study strategies are error-prone, and beliefs about intelligence carry implications for whether errors are a normal and even beneficial part of the learning process (e.g., growth mindset) or signs of insufficient intelligence (e.g., fixed mindset). Therefore, we hypothesized that beliefs about and reactions to errors would mediate a relationship between beliefs about intelligence and study strategies. We tested this hypothesis by surveying 345 undergraduates enrolled in an introductory biology class at a public, research-active university in northwestern United States. Confirmatory factor analysis indicated that the internal structure of all measures functioned as expected in our sample. We fit a structural equation model to evaluate our hypothesized model. We found that mindset, but not universality nor brilliance, predicts variance in both beliefs about errors and reactions to errors. In turn, adaptive reactions to errors (but not beliefs about errors) are associated with the use of highly effective study strategies and spacing study sessions. There was a significant indirect relationship between growth mindset and spacing of study sessions. Our results provide evidence for a mechanism explaining the association between students’ mindset beliefs and academic outcomes: believing that intelligence is improvable is associated with more adaptive reactions to making errors, which correlates with choosing more error-prone and therefore more effective study strategies. Future interventions aimed at improving students’ study strategies may be more effective if they simultaneously target reacting adaptively to errors and emphasize that intelligence is improvable.
{"title":"Undergraduates’ reactions to errors mediates the association between growth mindset and study strategies","authors":"Anastasia Chouvalova, Anisha S. Navlekar, Devin J. Mills, Mikayla Adams, Sami Daye, Fatima De Anda, Lisa B. Limeri","doi":"10.1186/s40594-024-00485-4","DOIUrl":"https://doi.org/10.1186/s40594-024-00485-4","url":null,"abstract":"Students employ a variety of study strategies to learn and master content in their courses. Strategies vary widely in their effectiveness for promoting deep, long-term learning, yet most students use ineffective strategies frequently. Efforts to educate students about effective study strategies have revealed that knowledge about effective strategies is by itself insufficient for encouraging widespread and lasting changes. An important next step is to uncover factors that influence the decisions students make about study strategy use. We explored the association between beliefs about intelligence (mindset, universality, and brilliance) and study strategies. The most effective study strategies are error-prone, and beliefs about intelligence carry implications for whether errors are a normal and even beneficial part of the learning process (e.g., growth mindset) or signs of insufficient intelligence (e.g., fixed mindset). Therefore, we hypothesized that beliefs about and reactions to errors would mediate a relationship between beliefs about intelligence and study strategies. We tested this hypothesis by surveying 345 undergraduates enrolled in an introductory biology class at a public, research-active university in northwestern United States. Confirmatory factor analysis indicated that the internal structure of all measures functioned as expected in our sample. We fit a structural equation model to evaluate our hypothesized model. We found that mindset, but not universality nor brilliance, predicts variance in both beliefs about errors and reactions to errors. In turn, adaptive reactions to errors (but not beliefs about errors) are associated with the use of highly effective study strategies and spacing study sessions. There was a significant indirect relationship between growth mindset and spacing of study sessions. Our results provide evidence for a mechanism explaining the association between students’ mindset beliefs and academic outcomes: believing that intelligence is improvable is associated with more adaptive reactions to making errors, which correlates with choosing more error-prone and therefore more effective study strategies. Future interventions aimed at improving students’ study strategies may be more effective if they simultaneously target reacting adaptively to errors and emphasize that intelligence is improvable.","PeriodicalId":48581,"journal":{"name":"International Journal of Stem Education","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190119","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：