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ChatGPT and its ethical implications for STEM research and higher education: a media discourse analysis ChatGPT及其对STEM研究和高等教育的伦理意义:媒体话语分析
IF 6.7 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-11-16 DOI: 10.1186/s40594-023-00452-5
Benjamin H. Nam, Qiong Bai
With the increasing demand brought on by the beginning of the fourth industrial revolution in the period of post-digital education and bio-digital technology, artificial intelligence (AI) has played a pivotal role in supporting human intelligence and contributing to intellectuals within science, technology, science, and mathematics (STEM) and in the broader field of higher education. Thus, this study examines how writers for mainstream STEM journals and higher education magazines perceive the impact of ChatGPT, a powerful AI chatbot, on STEM research and higher education. ChatGPT can generate realistic texts based on user prompts. However, this platform also poses ethical challenges for academic integrity, authorship, and publication. Using a comparative media discourse analysis approach, this study analyzes 72 articles from four media outlets: (a) Springer Nature; (b) The Chronicle of Higher Education; (c) Inside Higher Ed; and (d) Times Higher Education. The results show that the writers expressed various concerns and opinions about the potential conflicts and crises caused by ChatGPT in three areas: (a) academic research and publication; (b) teaching and learning; and (c) human resources management. This study concludes with some policy implications and suggestions for future research on ChatGPT and AI ethics in academia by reilluminating the most overarching policy concerns related to ethical writing in STEM research and higher education and limitations to the blindness to authorship and academic integrity among diverse stakeholders.
随着第四次工业革命的开始,后数字教育和生物数字技术时代的需求不断增加,人工智能(AI)在支持人类智能和为科学、技术、科学和数学(STEM)领域以及更广泛的高等教育领域的知识分子做出贡献方面发挥了关键作用。因此,本研究考察了主流STEM期刊和高等教育杂志的作者如何看待ChatGPT(一个强大的人工智能聊天机器人)对STEM研究和高等教育的影响。ChatGPT可以根据用户提示生成逼真的文本。然而,这个平台也对学术诚信、作者身份和出版提出了道德挑战。采用比较媒介话语分析方法,本研究分析了来自四家媒体的72篇文章:(a)施普林格·自然;(b)《高等教育纪事》;(c)内部高等教育;(d)泰晤士高等教育。结果表明,作者在三个方面表达了对ChatGPT潜在冲突和危机的各种关注和观点:(a)学术研究和出版;(b)教与学;(三)人力资源管理。本研究通过重新阐明STEM研究和高等教育中与伦理写作相关的最重要的政策问题,以及不同利益相关者对作者身份和学术诚信的盲目性的限制,为ChatGPT和人工智能伦理在学术界的未来研究提供了一些政策启示和建议。
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引用次数: 0
Motivational climate predicts effort and achievement in a large computer science course: examining differences across sexes, races/ethnicities, and academic majors 在一门大型计算机科学课程中,动机气候预测了努力和成就:研究性别、种族/民族和学术专业之间的差异
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-11-13 DOI: 10.1186/s40594-023-00457-0
Brett D. Jones, Margaret Ellis, Fei Gu, Hande Fenerci
Abstract Background The motivational climate within a course has been shown to be an important predictor of students’ engagement and course ratings. Because little is known about how students’ perceptions of the motivational climate in a computer science (CS) course vary by sex, race/ethnicity, and academic major, we investigated these questions: (1) To what extent do students’ achievement and perceptions of motivational climate, cost, ease, and effort vary by sex, race/ethnicity, or major? and (2) To what extent do the relationships between students’ achievement and perceptions of motivational climate, cost, and effort vary by sex, race/ethnicity, and major? Participants were enrolled in a large CS course at a large public university in the southeastern U.S. A survey was administered to 981 students in the course over three years. Path analyses and one-way MANOVAs and ANOVAs were conducted to examine differences between groups. Results Students’ perceptions of empowerment, usefulness, interest, and caring were similar across sexes and races/ethnicities. However, women and Asian students reported lower success expectancies. Students in the same academic major as the course topic (i.e., CS) generally reported higher perceptions of the motivational climate than students who did not major or minor in the course topic. Final grades in the course did not vary by sex or race/ethnicity, except that the White and Asian students obtained higher grades than the Black students. Across sex, race/ethnicity, and major, students’ perceptions of the motivational climate were positively related to effort, which was positively related to achievement. Conclusions One implication is that females, Asian students, and non-CS students may need more support, or different types of support, to help them believe that they can succeed in computer science courses. On average, these students were less confident in their abilities to succeed in the course and were more likely to report that they did not have the time needed to do well in the course. A second implication for instructors is that it may be possible to increase students’ effort and achievement by increasing students’ perceptions of the five key constructs in the MUSIC Model of Motivation: eMpowerment, Usefulness, Success, Interest, and Caring.
摘要背景课程中的动机气氛已被证明是学生参与和课程评分的重要预测因子。由于对学生在计算机科学(CS)课程中对动机气候的感知如何因性别、种族/民族和学术专业而异知之甚少,我们调查了这些问题:(1)学生的成就和对动机气候、成本、轻松程度和努力的感知在多大程度上因性别、种族/民族或专业而异?(2)学生的成就与动机氛围、成本和努力之间的关系在多大程度上因性别、种族/民族和专业而异?参与者被选入美国东南部一所大型公立大学的大型计算机科学课程。研究人员对该课程的981名学生进行了为期三年的调查。采用通径分析、单因素方差分析和单因素方差分析来检验组间差异。结果学生对赋权、有用性、兴趣和关怀的认知在性别和种族之间是相似的。然而,女性和亚洲学生对成功的期望较低。与课程主题相同的学术专业(即CS)的学生通常比没有主修或辅修课程主题的学生对动机气候的感知更高。除了白人和亚裔学生的成绩高于黑人学生外,这门课程的最终成绩没有因性别或种族/民族而异。在性别、种族/民族和专业中,学生对动机气候的感知与努力正相关,努力与成就正相关。一个暗示是,女性、亚洲学生和非计算机科学学生可能需要更多的支持,或不同类型的支持,以帮助他们相信自己可以在计算机科学课程中取得成功。平均而言,这些学生对自己在课程中取得成功的能力缺乏信心,而且更有可能报告说他们没有足够的时间把课程做好。对教师的第二个启示是,通过提高学生对MUSIC动机模型中的五个关键结构(授权、有用、成功、兴趣和关心)的认识,可能会增加学生的努力和成就。
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引用次数: 0
Exploring the multifaceted roles of mathematics learning in predicting students' computational thinking competency 探索数学学习在预测学生计算思维能力方面的多重作用
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-11-04 DOI: 10.1186/s40594-023-00455-2
Silvia Wen-Yu Lee, Hsing-Ying Tu, Guang-Lin Chen, Hung-Ming Lin
Abstract Background There exist shared competencies between computational thinking (CT) and mathematics, and these two domains also mutually benefit from various teaching approaches. However, the linkages between mathematics and computational thinking lack robust empirical support, particularly from student-centered learning perspectives. Our study aimed to enhance our understanding of the connections between students' mathematics learning and computational thinking. To assess students' mathematics learning, we measured their beliefs about mathematics learning and their level of mathematical literacy (ML). Our hypothesis posited that students' beliefs concerning mathematics learning, encompassing their views on the nature of mathematics and their attitude towards the subject, can both directly and indirectly influence their CT, with ML serving as a mediating factor. Our data were gathered through surveys and tests administered to eighth- and ninth-grade students. Data were analyzed using partial least squares–structural equation modeling (PLS–SEM). Results The evaluation of the measurement model indicated strong internal consistency for each construct. Both convergent and discriminant validity were also established. Upon assessing the structural model, it was found that beliefs about the nature of mathematics positively predicted attitudes towards mathematics, and this belief also indirectly predicted ML through positive attitudes towards mathematics. In addition, ML directly and positively predicted both CT subscales. Notably, a comprehensive mediating effect of ML on beliefs about mathematics learning and CT was identified in the analysis. Conclusions This study advances the understanding of the relationships between mathematics learning and CT. We have further confirmed the importance of mathematical literacy in predicting CT and its mediating role between beliefs about mathematics learning and CT. It is suggested that teachers could promote students’ CT competence by enhancing their mathematical literacy or integrating mathematics and CT into the same learning activities. Finally, we propose that upcoming investigations treat CT assessments as formative constructs, diverging from their reflective counterparts.
计算思维与数学之间存在着共同的能力,这两个领域也从不同的教学方法中相互受益。然而,数学和计算思维之间的联系缺乏强有力的实证支持,特别是从以学生为中心的学习角度来看。我们的研究旨在加深我们对学生数学学习与计算思维之间联系的理解。为了评估学生的数学学习,我们测量了他们对数学学习的信念和他们的数学素养水平。我们的假设假设学生对数学学习的信念,包括他们对数学本质的看法和他们对学科的态度,可以直接和间接地影响他们的CT, ML是一个中介因素。我们的数据是通过对八年级和九年级学生的调查和测试收集的。数据分析采用偏最小二乘结构方程模型(PLS-SEM)。结果对测量模型的评价表明,各结构的内部一致性较强。并建立了收敛效度和判别效度。通过对结构模型的评估,我们发现关于数学本质的信念可以正向地预测对数学的态度,并且这种信念也通过对数学的积极态度间接地预测ML。此外,ML直接和正向预测两个CT分量表。值得注意的是,在分析中发现了ML对数学学习信念和CT的综合中介作用。结论本研究促进了对数学学习与CT之间关系的认识。我们进一步证实了数学素养在预测CT中的重要性及其在数学学习信念与CT之间的中介作用。建议教师通过提高学生的数学素养或将数学与计算机科学整合到同一学习活动中来提高学生的计算机科学能力。最后,我们建议即将进行的研究将CT评估视为形成性构式,与反思性构式不同。
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引用次数: 0
Correction: How are primary school computer science curricular reforms contributing to equity? Impact on student learning, perception of the discipline, and gender gaps 更正:小学计算机科学课程改革如何促进公平?对学生学习、学科认知和性别差距的影响
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-11-02 DOI: 10.1186/s40594-023-00456-1
Laila El‑Hamamsy, Barbara Bruno, Catherine Audrin, Morgane Chevalier, Sunny Avry, Jessica Dehler Zufferey, Francesco Mondada
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引用次数: 0
Authentic STEM education through modelling: an international Delphi study 通过建模的真实STEM教育:一项国际德尔菲研究
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-10-26 DOI: 10.1186/s40594-023-00453-4
Jonas Hallström, Per Norström, Konrad J. Schönborn
Abstract Background The literature asserts that science, technology, engineering, and mathematics (STEM) education needs to be authentic. Although models and modelling provide a basis from which to increase authenticity by bridging the STEM disciplines, the idea of authentic STEM education remains challenging to define. In response, the aim of this study is to identify consensus on significant elements of authentic STEM education through models and modelling. Views were gathered anonymously over three rounds of questions with an expert panel. Responses were subjected to a multimethod analysis that pursued identification, consensus, and stability in the panel’s revealed propositions and themes around authentic STEM education through modelling. Results The panel reached high consensus concerning the potential of STEM education to support learning across traditional subject borders through authentic problem solving. The panel also consented that modelling is indispensable for achieving real-world relevance in STEM education, and that model-based integrated STEM education approaches provide opportunities for authentic problem solving. Furthermore, results showed that integrating individual STEM subjects during teaching, in terms of including disciplinary knowledge and skills, requires specialised competence. Here, technology and engineering subjects tended to implicitly underpin communicated teaching activities aimed at STEM integration. Conclusions and implications The panellists stress that STEM disciplines should be taught collaboratively at the same time as they are not in favour of STEM as a subject of its own but rather as a cooperation that maintains the integrity of each individual subject. Many respondents mentioned integrated STEM projects that included modelling and engineering design, although they were not specifically labelled as engineering projects. Thus, real-world STEM education scenarios are often viewed as being primarily technology and engineering based. The panel responses also implicate a need for multiple definitions of authenticity for different educational levels because a great deal of uncertainty surrounding authenticity seems to originate from the concept implying different meanings for different STEM audiences. These international Delphi findings can potentially inform integrated STEM classroom interventions, teacher education development, educational resource and curriculum design.
摘要背景文献认为,科学、技术、工程和数学(STEM)教育需要是真实的。尽管模型和建模为通过连接STEM学科来提高真实性提供了基础,但真正的STEM教育的概念仍然具有挑战性。作为回应,本研究的目的是通过模型和建模,就真正的STEM教育的重要要素达成共识。专家小组通过三轮匿名提问收集了意见。对回答进行了多方法分析,通过建模,在小组揭示的围绕真实STEM教育的命题和主题中寻求识别、共识和稳定性。结果专家组就STEM教育的潜力达成了高度共识,即通过真正的问题解决来支持跨越传统学科边界的学习。专家组还一致认为,建模对于实现STEM教育与现实世界的相关性是不可或缺的,基于模型的综合STEM教育方法为真正解决问题提供了机会。此外,结果显示,在教学过程中整合各个STEM科目,包括学科知识和技能,需要专业能力。在这里,技术和工程学科倾向于隐含地支持旨在整合STEM的交流教学活动。小组成员强调,STEM学科应该同时进行协作教学,因为他们不赞成将STEM作为一个独立的学科,而是赞成将其作为一种合作,以保持每个单独学科的完整性。许多受访者提到了包括建模和工程设计在内的综合STEM项目,尽管它们没有特别标记为工程项目。因此,现实世界的STEM教育场景通常被视为主要基于技术和工程。小组的回答还暗示,需要针对不同的教育水平对真实性进行多重定义,因为围绕真实性的大量不确定性似乎源于对不同STEM受众意味着不同含义的概念。这些国际德尔菲研究结果可以为STEM课堂干预、教师教育发展、教育资源和课程设计提供潜在的信息。
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引用次数: 0
Integrating artificial intelligence into science lessons: teachers’ experiences and views 将人工智能融入科学课程:教师的经验与观点
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-10-20 DOI: 10.1186/s40594-023-00454-3
Joonhyeong Park, Tang Wee Teo, Arnold Teo, Jina Chang, Jun Song Huang, Sengmeng Koo
Abstract Background In the midst of digital transformation, schools are transforming their classrooms as they prepare students for a world increasingly automated by new technologies, including artificial intelligence (AI). During curricular implementation, it has not made sense to teachers to teach AI as a stand-alone subject as it is not a traditional discipline in schools. As such, subject matter teachers may need to take on the responsibility of integrating AI content into discipline-based lessons to help students make connections and see its relevance rather than present AI as separate content. This paper reports on a study that piloted a new lesson package in science classrooms to introduce students to the idea of AI. Specifically, the AI-integrated science lesson package, designed by the research team, provided an extended activity that used the same context as an existing lesson activity. Three science teachers from different schools piloted the lesson package with small groups of students and provided feedback on the materials and implementation. Findings The findings revealed the teachers’ perceptions of integrating AI into science lessons in terms of the connection between AI and science, challenges when implementing the AI lesson package and recommendations on improvements. First, the teachers perceived that AI and science have similarities in developing accurate models with quality data and using simplified reasoning, while they thought that AI and science play complementary roles when solving scientific problems. Second, the teachers thought that the biggest challenge in implementing the lesson package was a lack of confidence in content mastery, while the package would be challenging to get buy-in from teachers regarding curriculum adaptation and targeting the appropriate audience. Considering these challenges, they recommended that comprehensive AI resources be provided to teachers, while this package can be employed for science enrichment programs after-school. Conclusions The study has implications for curriculum writers who design lesson packages that introduce AI in science classrooms and for science teachers who wish to contribute to the development of AI literacy for teachers and the extension of the range of school science and STEM to students.
在数字化转型的过程中,学校正在改变他们的教室,让学生为包括人工智能(AI)在内的新技术日益自动化的世界做好准备。在课程实施过程中,教师将人工智能作为一门独立的学科来教授是没有意义的,因为它不是学校的传统学科。因此,学科教师可能需要承担将人工智能内容整合到基于学科的课程中的责任,以帮助学生建立联系并看到其相关性,而不是将人工智能作为单独的内容呈现。本文报道了一项研究,该研究在科学课堂上试行了一套新的课程包,向学生介绍人工智能的概念。具体来说,由研究团队设计的人工智能集成科学课程包提供了一个扩展活动,该活动使用与现有课程活动相同的上下文。来自不同学校的三名科学教师在一小群学生中试用了这套课程包,并就教材和实施情况提供了反馈。调查结果揭示了教师对将人工智能纳入科学课程的看法,包括人工智能与科学之间的联系、实施人工智能课程包时面临的挑战以及改进建议。首先,教师们认为人工智能和科学在用高质量的数据开发准确的模型和使用简化的推理方面有相似之处,而他们认为人工智能和科学在解决科学问题方面发挥着互补的作用。其次,教师认为实施课程包的最大挑战是对内容掌握缺乏信心,而课程包在课程适应和针对适当受众方面很难获得教师的支持。考虑到这些挑战,他们建议向教师提供全面的人工智能资源,而这套资源可以用于课后的科学充实项目。这项研究对设计在科学课堂中引入人工智能的课程包的课程编写者,以及希望为教师的人工智能素养发展和向学生扩展学校科学和STEM范围做出贡献的科学教师都有影响。
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引用次数: 1
How are primary school computer science curricular reforms contributing to equity? Impact on student learning, perception of the discipline, and gender gaps 小学计算机科学课程改革如何促进公平?对学生学习、学科认知和性别差距的影响
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-10-10 DOI: 10.1186/s40594-023-00438-3
Laila El-Hamamsy, Barbara Bruno, Catherine Audrin, Morgane Chevalier, Sunny Avry, Jessica Dehler Zufferey, Francesco Mondada
Abstract Background Early exposure to Computer Science (CS) and Computational Thinking (CT) for all is critical to broaden participation and promote equity in the field. But how does the introduction of CS and CT into primary school curricula impact learning, perception, and gaps between groups of students? Methodology We investigate a CS-curricular reform and teacher Professional Development (PD) programme from an equity standpoint by applying hierarchical regression and structural equation modelling on student learning and perception data from three studies with, respectively, 1384, 2433 and 1644 grade 3–6 students (ages 7–11) and their 83, 142 and 95 teachers. Results Regarding learning, exposure to CS instruction appears to contribute to closing the performance gap between low-achieving and high-achieving students, as well as pre-existing gender gaps. Despite a lack of direct influence of what was taught on student learning, there is no impact of teachers’ demographics or motivation on student learning, with teachers’ perception of the CS-PD positively influencing learning. Regarding perception, students perceive CS and its teaching tools (robotics, tablets) positively, and even more so when they perceive a role model close to them as doing CS. Nonetheless, gender differences exist all around with boys perceiving CS more positively than girls despite access to CS education. However, access to CS-education affects boys and girls differently: larger gender gaps are closing (namely those related to robotics), while smaller gaps are increasing (namely those related to CS and tablets). Conclusion This article highlights how a CS curricular reform impacts learning, perception, and equity and supports the importance of (i) early introductions to CS for all; (ii) preparing teachers to teach CS all the while removing the influence of teacher demographics and motivation on student outcomes; and (iii) having developmentally appropriate activities that signal to all groups of students.
背景尽早接触计算机科学(CS)和计算思维(CT)对于扩大参与和促进该领域的公平至关重要。但是,将CS和CT引入小学课程如何影响学习、认知和学生群体之间的差距?我们从公平的角度对cs课程改革和教师专业发展(PD)项目进行了研究,采用层次回归和结构方程模型对三个研究的学生学习和感知数据进行了分析,研究对象分别是1384、2433和1644名3-6年级学生(7-11岁)及其83、142和95名教师。在学习方面,接触计算机科学教学似乎有助于缩小成绩差的学生和成绩好的学生之间的成绩差距,以及先前存在的性别差距。尽管教授的内容对学生的学习没有直接影响,但教师的人口统计学或动机对学生的学习没有影响,教师对CS-PD的感知对学习有积极影响。在感知方面,学生对计算机科学及其教学工具(机器人、平板电脑)的看法是积极的,当他们认为身边有一个学习计算机科学的榜样时,这种看法就更明显了。尽管如此,性别差异仍然存在,尽管接受过计算机科学教育,男孩比女孩更积极地看待计算机科学。然而,接受CS教育对男孩和女孩的影响不同:较大的性别差距正在缩小(即与机器人相关的性别差距),而较小的性别差距正在扩大(即与CS和平板电脑相关的性别差距)。本文强调了计算机科学课程改革如何影响学习、认知和公平,并支持以下几点的重要性:(1)尽早向所有人介绍计算机科学;(ii)让教师做好教计算机科学的准备,同时消除教师人口统计和动机对学生成绩的影响;(三)开展适合发展的活动,向所有学生群体发出信号。
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引用次数: 3
Gender differences in high school students’ interest in STEM careers: a multi-group comparison based on structural equation model 高中生STEM职业兴趣的性别差异:基于结构方程模型的多组比较
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-10-09 DOI: 10.1186/s40594-023-00443-6
Ning Wang, Aik-Ling Tan, Xiaohong Zhou, Ke Liu, Feng Zeng, Jiong Xiang
Abstract Background Females are underrepresented in Science, Technology, Engineering, and Mathematics (STEM) fields all over the world. To encourage more girls to choose STEM majors and careers, it is critical to increase their interest in STEM careers. Many studies have investigated the factors that influence females' entry into STEM fields, but few studies have explored the gender differences in the relationships between these factors. Therefore, based on the Social Cognitive Career Theory, this study explored the gender differences in the effects of environmental factors (school education, informal education, social support, and media) on high school students' interest in STEM careers through the mediating roles of STEM self-efficacy and STEM careers perceptions. Results A questionnaire survey was conducted among 1240 high school students in Hunan Province, China, and the results of t -test, regression analysis, and structural equation model multi-group comparison showed that: Firstly, the scores of male students in all the dimensions except for STEM career perception were significantly higher than those of female students. Secondly, the environmental factor that had the greatest effect on male and female students' interest in STEM careers was different. Finally, there were gender differences in the mediating roles of STEM self-efficacy and STEM careers perceptions between environmental factors and interest in STEM careers. Conclusions This study revealed the influence mechanisms and gender differences in male and female students' interest in STEM careers in the context of Chinese Confucian culture, and the conclusions are as follows: (1) Male students' interest in STEM careers was significantly higher than that of female students; (2) The environmental factors that had the greatest effect on male and female students' interest in STEM careers were social support and media, respectively; and (3) Environmental factors could affect male students' interest in STEM careers through the mediating roles of STEM self-efficacy and STEM career perception, while environmental factors could affect female students' interest in STEM careers through the mediating role of STEM self-efficacy. Finally, the mediating mechanisms of STEM self-efficacy and STEM career perception between environmental factors and interest in STEM careers, and the importance of STEM self-efficacy for female students were discussed.
在世界范围内,女性在科学、技术、工程和数学(STEM)领域的代表性不足。为了鼓励更多的女孩选择STEM专业和职业,提高她们对STEM职业的兴趣至关重要。许多研究调查了影响女性进入STEM领域的因素,但很少有研究探讨这些因素之间关系的性别差异。因此,本研究基于社会认知职业理论,通过STEM自我效能感和STEM职业知觉的中介作用,探讨环境因素(学校教育、非正式教育、社会支持和媒体)对高中生STEM职业兴趣影响的性别差异。结果对湖南省1240名高中生进行问卷调查,经t检验、回归分析和结构方程模型多组比较结果表明:第一,除STEM职业感知外,男生在各维度得分均显著高于女生。其次,对男女生STEM职业兴趣影响最大的环境因素存在差异。最后,STEM自我效能感和STEM职业知觉在环境因素与STEM职业兴趣之间的中介作用存在性别差异。本研究揭示了中国儒家文化背景下男女学生STEM职业兴趣的影响机制和性别差异,结论如下:(1)男生对STEM职业兴趣显著高于女生;(2)对男生和女生STEM职业兴趣影响最大的环境因素分别是社会支持和媒体;(3)环境因素通过STEM自我效能感和STEM职业知觉的中介作用影响男生对STEM职业的兴趣,环境因素通过STEM自我效能感的中介作用影响女生对STEM职业的兴趣。最后,探讨了环境因素对STEM职业兴趣的影响,以及STEM自我效能感对女学生的重要性,以及STEM自我效能感和STEM职业知觉的中介机制。
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引用次数: 0
Gender gap in STEM pathways: the role of secondary curricula in a highly differentiated school system—the case of Chile STEM途径中的性别差距:在高度分化的学校系统中中学课程的作用——以智利为例
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-09-25 DOI: 10.1186/s40594-023-00450-7
María Paola Sevilla, Daniela Luengo-Aravena, Mauricio Farías
Abstract Background STEM fields are instrumental in increasing the technological and innovative capacity of the economy. As women are underrepresented in the STEM workforce, diverse strategies have been implemented to boost their preparedness and interest in these fields, including early exposure to academic and vocational STEM courses. Using the case of Chile’s highly differentiated school system, this paper examines the role of secondary curricula on students’ enrollment and persistence in STEM programs offered by vocational postsecondary institutions and universities. In doing so, we seek to identify whether exposure to STEM courses within the academic or vocational tracks translates into fewer gender differences in STEM higher education. Results Our results reveal that upper-secondary tracks connected to STEM courses are positively associated with enrollment in STEM higher education and, to some degree, persistence. More specifically, exposure to STEM courses in the academic track is the most effective path to boost chances of enrolling in STEM university programs but has no connection to later persistence. In contrast, applied STEM courses within the vocational tracks perform better in the case of STEM programs in postsecondary vocational institutions both in enrollment and persistence. However, this STEM pipeline significantly amplifies gender gaps as males benefit more than women from early exposure to applied STEM courses. We also found that other indirect routes, such as enrolling in STEM university programs from the vocational track with applied STEM courses, boost female participation in these programs, helping reduce gender gaps. Conclusions While secondary STEM courses attract more female students to STEM higher education, they alone are insufficient to achieve gender equality in STEM fields as gender gaps widen in the more effective routes. In highly differentiated school systems, policymakers and high school leaders should offer increased support to women interested in STEM studies and careers across all secondary tracks to boost female participation in STEM fields. At the same time, all high school students should be able to select both academic and applied STEM courses as a part of their non-mandatory curriculum.
STEM领域在提高经济的技术和创新能力方面发挥着重要作用。由于女性在STEM劳动力中的代表性不足,已经实施了多种战略,以提高她们对这些领域的准备和兴趣,包括早期接触学术和职业STEM课程。以智利高度分化的学校体系为例,本文考察了中学课程对学生在职业高等教育机构和大学提供的STEM课程中的入学率和持久性的作用。在此过程中,我们试图确定在学术或职业轨道上接触STEM课程是否会减少STEM高等教育中的性别差异。我们的研究结果显示,与STEM课程相关的高中课程与STEM高等教育的入学率呈正相关,并且在某种程度上与持久性呈正相关。更具体地说,在学术轨道上接触STEM课程是提高进入STEM大学项目的机会的最有效途径,但与以后的坚持没有关系。相比之下,在高等职业院校的STEM项目中,职业轨道中的应用STEM课程在入学率和持久性方面表现更好。然而,由于男性比女性从早期接触应用STEM课程中受益更多,这一STEM管道显著扩大了性别差距。我们还发现,其他间接途径,如从职业轨道报名参加STEM大学项目,学习应用STEM课程,可以提高女性对这些项目的参与度,有助于缩小性别差距。虽然中等STEM课程吸引了更多的女性学生进入STEM高等教育,但由于性别差距在更有效的途径中扩大,仅靠中等STEM课程不足以实现STEM领域的性别平等。在高度分化的学校体系中,政策制定者和高中领导应该为对STEM研究和职业感兴趣的女性提供更多支持,以促进女性在STEM领域的参与。同时,所有高中学生都应该能够选择学术和应用STEM课程作为其非必修课程的一部分。
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引用次数: 0
Teamwork dynamics in the context of large-size software development courses 大型软件开发课程背景下的团队合作动态
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-09-22 DOI: 10.1186/s40594-023-00451-6
Alejandra J. Magana, Theodora Amuah, Sakhi Aggrawal, Devang A. Patel
Abstract Background Effectively facilitating teamwork experiences, particularly in the context of large-size courses, is difficult to implement. This study seeks to address the challenges of implementing effective teamwork experiences in large courses. This study integrated teamwork pedagogy to facilitate a semester-long project in the context of a large-size class comprising 118 students organized into 26 teams. The data for this study were collected from two online teamwork sessions when teams collaborated and self-recorded during the in-class time. The video recordings were qualitatively analyzed to identify patterns in team dynamics processes through visualizations. The study aims to provide insights into the different ways team members engaged in team dynamics processes during different phases of the semester. Results Findings suggest that members of teams were mostly active and passive during meetings and less constructive and interactive in their engagement. Team members mainly engaged in communication, team orientation, and feedback behaviors. Over time, team members' interactions with one another remained about the same, with feedback behaviors tending to diminish and coordination behaviors staying about the same or slightly increasing over time. Conclusion The implications of this study extend to both practice and theory. Practically, combining cooperative learning and scrum practices enabled a blend of collaborative and cooperative work, which suggests providing teams with tools and structures to coordinate teamwork processes and promote interaction among team members. From a theoretical perspective, this study contributes to the understanding of temporal aspects of teamwork dynamics by examining how team interactions evolve during working sessions at different points in time. Overall, this research provides valuable insights for educators, practitioners, and researchers aiming to enhance teamwork experiences in large courses, particularly in software development disciplines.
有效地促进团队合作体验,特别是在大型课程的背景下,很难实现。本研究旨在解决在大型课程中实施有效团队合作经验的挑战。本研究采用团队合作教学法,在一个由118名学生组成的大班的背景下,进行了一个长达一个学期的项目。这项研究的数据是从两个在线团队会议中收集的,当团队在课堂上合作和自我记录时。对视频记录进行定性分析,通过可视化识别团队动态过程中的模式。本研究旨在了解团队成员在学期的不同阶段参与团队动态过程的不同方式。研究结果表明,团队成员在会议期间大多是主动和被动的,在他们的参与中缺乏建设性和互动性。团队成员主要表现为沟通、团队导向和反馈行为。随着时间的推移,团队成员之间的互动保持不变,反馈行为趋于减少,协调行为保持不变或略有增加。结论本研究具有一定的理论和实践意义。实际上,将合作学习和scrum实践结合起来,可以实现协作和协作工作的混合,这建议为团队提供工具和结构,以协调团队工作过程,并促进团队成员之间的互动。从理论的角度来看,本研究通过考察团队互动如何在不同时间点的工作会议中演变,有助于理解团队合作动力学的时间方面。总的来说,这项研究为教育工作者、实践者和研究人员提供了有价值的见解,他们的目标是在大型课程中增强团队合作经验,特别是在软件开发学科中。
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引用次数: 1
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International Journal of Stem Education
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