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Performing 1-1 Interventions to Address Mathematics Anxiety – An Intervention Case Study of 3 Brazilian Women Who Believed They Were Stupid in Mathematics 进行 1-1 干预以解决数学焦虑--对 3 名认为自己数学笨的巴西妇女的干预案例研究
Pub Date : 2024-07-19 DOI: 10.46328/ijses.104
Karina Lumena Alves, Telma Pará, Sue Johnston-Wilder, Janet Baker
Mathematics Anxiety is well-researched, but solutions are few. This study shows the potential to provide an affordable solution, one that could ultimately be rolled out across the country and the world. The 1:1 interventions involve inviting the participants to tell their math story and then introducing the Mathematical Resilience Framework and reframing adverse prior experiences as unrelated to intrinsic ability. The framework includes three tools: the hand model of the brain, the growth zone model, and the relaxation response. The intervention participants were Brazilian volunteers living in England from the local and virtual communities. The levels of Mathematics Anxiety were measured before the intervention using the Betz (1978) scale, and narrative records were made. The qualitative data were analyzed using deductive thematic analysis (Braun Clarke, 2006) through the lens of the Mathematical Resilience Framework. The data indicated the positive impact of performing this kind of intervention.
数学焦虑症的研究很深入,但解决方案却很少。这项研究表明,我们有可能提供一种负担得起的解决方案,并最终在全国乃至全世界推广。1:1 干预措施包括邀请参与者讲述他们的数学故事,然后介绍数学复原力框架,并将先前的不利经历重塑为与内在能力无关。该框架包括三个工具:大脑手部模型、生长区模型和放松反应。干预参与者是居住在英国的巴西志愿者,他们来自当地社区和虚拟社区。干预前使用 Betz(1978 年)量表测量了他们的数学焦虑水平,并做了叙述性记录。通过数学复原力框架的视角,使用演绎主题分析法(Braun Clarke,2006 年)对定性数据进行了分析。数据显示,进行这种干预产生了积极的影响。
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引用次数: 0
An Experiential Journey: A Year of a Professor Using AI in the Classroom and Research 体验之旅:一位教授在课堂和研究中使用人工智能的一年
Pub Date : 2024-07-19 DOI: 10.46328/ijses.98
Tif Mulally
This paper explores the integration of artificial intelligence (AI) in education and research, highlighting its potential to transform traditional teaching methods and enhance academic inquiry. The use of AI in education is examined, focusing on its ability to streamline administrative tasks, provide personalized instruction, and support teacher professional development. The benefits and challenges of AI adoption in the classroom are discussed, including its impact on teacher burnout and the potential disruption of teacher-student relationships. Additionally, the paper explores the applications of AI in scientific research, emphasizing its role in data analysis, literature review, predictive modeling, and collaborative research. The experiences of a professor who integrated AI into their classroom are shared, and the decision-making process, adjustments made, and the importance of balancing AI-driven instruction with interactive in-class activities are discussed. The paper highlights the need for ongoing evaluation, adaptation, and human-AI collaboration to ensure AI's responsible and effective integration in education and research.
本文探讨了人工智能(AI)与教育和研究的结合,强调了人工智能在改变传统教学方法和加强学术探究方面的潜力。本文探讨了人工智能在教育领域的应用,重点关注其简化行政任务、提供个性化教学和支持教师专业发展的能力。论文还讨论了在课堂上采用人工智能的好处和挑战,包括其对教师职业倦怠的影响以及对师生关系的潜在破坏。此外,论文还探讨了人工智能在科学研究中的应用,强调了它在数据分析、文献综述、预测建模和合作研究中的作用。本文分享了一位教授将人工智能融入课堂的经验,并讨论了决策过程、所做的调整以及平衡人工智能驱动的教学与课堂互动活动的重要性。论文强调了持续评估、调整和人类与人工智能合作的必要性,以确保人工智能负责任地、有效地融入教育和研究。
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引用次数: 0
Effect of Anchoring Vignettes on Reliability and Validity as a Measure of Motivation and Emotion in Mathematics 锚定小故事对数学学习动机和情感测量信度和效度的影响
Pub Date : 2024-07-19 DOI: 10.46328/ijses.113
K. Otgonbaatar
In mathematics, the importance of emotion and motivation has long been appreciated. Meanwhile, the measurement of these constructs needs to be carefully developed. Indeed, many previous studies employed questionnaires and self-rating to investigate emotion and motivation in mathematics. However, researchers stressed that self-rating and questionnaires are vulnerable to different biases, such as cultural bias, social desirability bias, and individual reporting behavior, which could influence the reliability and validity of the responses. The present study employed an anchoring vignette approach and self-rating to measure emotion and motivation to examine its effect on reliability and validity. The study sample consisted of 308 Grade 8 students from urban, suburban, and rural schools in Mongolia. The students were administered two vignette sets and their respective self-rating items in 45 minutes. The study found that the anchoring vignette approach increased two types of reliability coefficients, including composite reliability and Cronbach's α, and two types of validity, such as convergent and discriminant validity. In sum, the results of the present study concluded that the anchoring vignette approach has the potential to improve the reliability and validity of tools to measure emotion and motivation in mathematics.
在数学中,情感和动机的重要性早已得到重视。与此同时,对这些建构的测量也需要认真发展。事实上,以往的许多研究都采用问卷调查和自我评分的方法来研究数学中的情感和动机。然而,研究人员强调,自我评分和问卷容易受到不同偏差的影响,如文化偏差、社会期望偏差和个体报告行为等,这些都可能影响回答的信度和效度。本研究采用了锚定小故事法和自我评分法来测量情绪和动机,以考察其对信度和效度的影响。研究样本包括来自蒙古城市、郊区和农村学校的 308 名八年级学生。学生们在 45 分钟内接受了两套小故事和相应的自我评分项目。研究发现,锚定小故事法提高了两类信度系数,包括综合信度和 Cronbach's α,以及两类效度,如收敛效度和区分效度。总之,本研究的结论是,锚定小故事法有可能提高数学情绪和动机测量工具的信度和效度。
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引用次数: 0
Prioritizing Mental Well-being in Emerging Educational Models: Strategies for Integrating Social and Emotional Learning (SEL) to Support Student Mental Health 在新兴教育模式中优先考虑心理健康:整合社会与情感学习(SEL)以支持学生心理健康的策略
Pub Date : 2024-07-19 DOI: 10.46328/ijses.101
Dimani Jayatissa
This paper conducts a comprehensive review of the effectiveness of integrating Social and Emotional Learning (SEL) practices into emerging educational models to support student mental well-being, with a particular focus on Canadian contexts. Employing a systematic literature review methodology, the study utilized Google Scholar as the primary database, filtering results based on inclusion and exclusion criteria, emphasizing relevance, quality, and recency. The main findings underscore a research gap between acknowledgment of the importance of SEL, and its implementation in Canadian schools. Strategies for integrating SEL into educational settings are reviewed, highlighting ongoing initiatives of British Columbia aimed at advancing SEL within teacher training programs and educational policies. The study also highlights escalating concerns regarding the mental health of Canadian children and youth, impaired by the COVID-19 pandemic. Implications for educational policy and practice, including promoting systematic assessment of students’ social-emotional skills and ensuring the appropriate developmental delivery of SEL through content, are emphasized as key considerations for educational policymakers and practitioners. The paper concludes that a holistic approach is advocated for fostering Canadian children and youth's social-emotional skills, crucial for their well-being and success in educational settings.
本文全面综述了将社会与情感学习(SEL)实践融入新兴教育模式以支持学生心理健康的有效性,尤其关注加拿大的情况。本研究采用了系统的文献综述方法,利用谷歌学术作为主要数据库,根据纳入和排除标准对结果进行筛选,强调相关性、质量和近期性。主要发现强调了在承认 SEL 的重要性和在加拿大学校实施 SEL 之间存在的研究差距。研究回顾了将 SEL 纳入教育环境的策略,强调了不列颠哥伦比亚省正在实施的旨在将 SEL 纳入教师培训计划和教育政策的举措。本研究还强调了受 COVID-19 大流行病影响,人们对加拿大儿童和青少年心理健康的日益关注。研究强调了教育政策和实践的影响,包括促进对学生社交情感技能的系统评估,以及确保通过教学内容适当地开展 SEL,这些都是教育政策制定者和实践者需要考虑的关键问题。本文的结论是,提倡采用综合方法培养加拿大儿童和青少年的社交情感技能,这对他们在教育环境中的幸福和成功至关重要。
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引用次数: 0
Enhancing Engagement and Autonomy in Advanced Japanese Learning as the Second Language through AI-Assisted Video Production 通过人工智能辅助视频制作提高作为第二语言的高级日语学习的参与度和自主性
Pub Date : 2024-07-19 DOI: 10.46328/ijses.111
Nana Takeda-Kolb, Hiroki Ohsawa
This study delves into the integration of generative AI in second language acquisition, particularly focusing on advanced Japanese learners' autonomy and motivation enhancement through video production. Drawing from Japan's educational guidelines and prior research, the investigation examines the roles of generative AI in language education, emphasizing ethical considerations and strategies for effective integration (Mollick Mollick, 2023). The course implemented a hybrid approach, combining language instruction with media production, where students created YouTube videos in Japanese. Their productions were supported by AI tools for language correction, narration, and content generation. Results indicate that while AI facilitated practical language learning, instructor guidance remained crucial for ensuring accuracy and contextual appropriateness. The study highlights challenges such as overreliance on AI-generated content and the need for nuanced communication in prompt engineering. Despite these challenges, students demonstrated cultural understanding and improved nonverbal communication skills through video production. Future research aims to analyze students' reflections on their experiences, shedding light on their insights and future applications of AI in language learning.
本研究深入探讨了生成式人工智能在第二语言习得中的整合,尤其侧重于通过视频制作提高高级日语学习者的自主性和积极性。根据日本的教育方针和先前的研究,本研究探讨了生成式人工智能在语言教育中的作用,强调了有效整合的伦理考虑因素和策略(Mollick Mollick,2023 年)。该课程采用了一种混合方法,将语言教学与媒体制作相结合,学生用日语制作 YouTube 视频。他们的制作得到了人工智能工具的支持,用于语言纠正、旁白和内容生成。结果表明,虽然人工智能促进了实际语言学习,但教师的指导对于确保准确性和语境适宜性仍然至关重要。研究强调了一些挑战,如过度依赖人工智能生成的内容,以及在及时工程中进行细致交流的必要性。尽管存在这些挑战,学生们还是通过视频制作展示了对文化的理解,并提高了非语言交流技能。未来的研究旨在分析学生对其经历的反思,揭示他们的见解以及人工智能在语言学习中的未来应用。
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引用次数: 0
The Importance of International Students in the United States 美国留学生的重要性
Pub Date : 2024-07-19 DOI: 10.46328/ijses.108
L. B. Okai, Gokul Mandayam
The overarching focus of this study is to gain a comprehensive understanding of how the admission of international students into institutions of higher education in the US, creates advantages to their college campuses and communities, apart from its concomitant liabilities. The US has been the most preferred study abroad destination for international students (IIE, Open Doors, 2023). In the 2022/2023 academic year, 1,057,188 international students enrolled in colleges and universities in the US representing about 25% of total international students enrollment worldwide (Bound et al., 2020).This study will be an exploratory attempt to understand the advantages that international students bring to higher education institutions in the US and their contributions to the country's economy overall. It is intended to provide a rich description of international students contributions over the years, in addition to the costs and benefits associated with admission of international students. 
本研究的首要重点是全面了解美国高等院校招收国际学生的情况,以及国际学生如何为其大学校园和社区带来优势,同时也带来相应的负面影响。美国一直是国际学生最青睐的留学目的地(IIE, Open Doors, 2023)。2022/2023 学年,有 1,057,188 名国际学生进入美国高校学习,约占全球国际学生总人数的 25%(Bound et al.除了与招收国际学生相关的成本和收益外,本研究还将对国际学生多年来的贡献进行丰富的描述。
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引用次数: 0
An In-Depth Qualitative Exploration of Normale Lecture Classes (NLec) in Mathematics: Understanding Student Experiences and Pedagogical Implications 数学常态授课(NLec)的深入定性探索:了解学生的经历和教学意义
Pub Date : 2024-07-19 DOI: 10.46328/ijses.103
E. Marpa
Normale Lectures is a delivery model of academic coursework designed as an innovative response to address the challenges of human and infrastructural limitations. To respond to these challenges, the Philippine Normal University has developed an academic course delivery model called PNU Normale Lectures, or NLec. Along this line, I was interested in exploring general education students' experiences in NLec mathematics class. With this, an open-ended questionnaire was administered to the eighty-three students of the Philippine Normal University, Visayas. Responses generated five essential themes about their challenges: a) classroom environment and distractions; b) teacher’s impact and teaching style; c) personal engagement and learning difficulties; d) classroom structure and size; and e) online learning and technology. Coping strategies, on the other hand, are (a) study materials and notes; (b) peer and teacher support; (c) online resources and technology; (d) positive attitude and motivation; (e) practice and review; and (f) active listening and notetaking. These findings underscore the complex nature of these challenges and emphasize the importance of educators and institutions addressing them for improved student outcomes. The study also identified coping strategies, highlighting the need for innovative approaches to enhance the mathematics education experience for these students.
常态讲座是一种学术课程的授课模式,旨在以创新的方式应对人力和基础设施限制所带来的挑战。为了应对这些挑战,菲律宾师范大学开发了一种名为 "PNU Normale Lectures "或 "NLec "的学术课程授课模式。根据这一思路,我有兴趣探索普通教育学生在 NLec 数学课上的体验。为此,我对米沙鄢菲律宾师范大学的 83 名学生进行了开放式问卷调查。学生们的回答产生了五个基本主题:a) 课堂环境和干扰;b) 教师的影响和教学风格;c) 个人参与和学习困难;d) 课堂结构和规模;e) 在线学习和技术。另一方面,应对策略包括:(a) 学习材料和笔记;(b) 同学和教师的支持;(c) 在线资源和技术;(d) 积极的态度和动机;(e) 练习和复习;(f) 积极倾听和记笔记。这些研究结果突出了这些挑战的复杂性,强调了教育工作者和教育机构应对这些挑战以提高学生成绩的重要性。研究还确定了应对策略,强调需要创新的方法来提升这些学生的数学教育体验。
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引用次数: 0
Applying Educational Accommodation for ADHD Pupils: Teachers and Parents Perspectives 为多动症学生提供教育辅导:教师和家长的观点
Pub Date : 2024-07-19 DOI: 10.46328/ijses.92
Asma Ghali Alsobhi, Abeer Toson Mohamed, Huda Alshami
Attention Deficit Hyperactivity Disorder (ADHD) is one of the disorders that threaten the learning quality of the students. The study aims to identify the degree of application of educational accommodations for students with attention deficit hyperactivity disorder (ADHD) in primary schools from teachers and parents' perspectives. Data have been collected from two samples: 70 primary school teachers and 62 parents of students with ADHD in the Eastern Province and Riyadh, who were chosen randomly. The results showed that there were statistically significant differences between the teachers’ and parents’ perspectives. In the degree of application of educational adaptations for this category of students, it came in favor of teachers. The results showed that there were statistically significant differences in the degree of application of adaptations according to the gender variable, which came in favor of female teachers, and the results also showed that there were no statistically significant differences between schools in terms of supported services for application of educational adaptations for students with ADHD.
注意力缺陷多动障碍(ADHD)是威胁学生学习质量的疾病之一。本研究旨在从教师和家长的角度,了解小学对注意力缺陷多动障碍(ADHD)学生的教育调适措施的应用程度。研究从两个样本中收集了数据:随机抽取了东部省和利雅得的 70 名小学教师和 62 名多动症学生家长。结果显示,教师和家长的观点在统计学上存在显著差异。在对这类学生进行教育调整的程度方面,教师更占优势。结果还显示,在为多动症学生提供教育适应支持服务方面,不同学校之间没有明显的统计学差异。
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引用次数: 0
The Influence of Internet Use on University Students’ Moral Behavior 互联网使用对大学生道德行为的影响
Pub Date : 2024-07-19 DOI: 10.46328/ijses.100
G. Moluayonge, Ekoko Mathias Nasumba
The purpose of the study was to investigate the influence of the internet use on university students` moral behavior in South West Region Cameroon. The researcher used mixed research method design involving both qualitative and quantitative methods. The sample size used was 100 students from HTTTC Kumba all departments from levels 200 and 300. Four lecturers were also interviewed. From the findings, majority of the respondents indicated that some of their private information has been disclosed without their permission; they have been involved in plagiarism, betting, cyber bullying, illegal downloading and many other vices. These issues can be handled through guidance and counselling sessions for students. Also, each department should use plagiarism detection software and each lecturer is expected to be trained in using the software in order to combat plagiarism.
本研究旨在调查互联网的使用对喀麦隆西南地区大学生道德行为的影响。研究者采用了混合研究方法设计,包括定性和定量方法。样本量为 HTTTC 昆巴分校 200 级和 300 级各系的 100 名学生。此外,还对四名讲师进行了访谈。从调查结果来看,大多数受访者表示,他们的一些私人信息在未经许可的情况下被泄露;他们参与了抄袭、赌博、网络欺凌、非法下载和许多其他恶习。这些问题可以通过对学生的指导和辅导来解决。此外,每个系都应使用抄袭检测软件,每位讲师都应接受使用该软件的培训,以打击抄袭行为。
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引用次数: 0
Systematic Literature Review on Pedagogies and Visualization Tools for Machine Learning in K-12 Schools 关于 K-12 学校机器学习教学法和可视化工具的系统文献综述
Pub Date : 2024-07-19 DOI: 10.46328/ijses.93
Adjei Amaniampong, S. Oyelere
Though studies have been done on Machine  Learning, almost all the studies focused on higher educational institutions, with little attention to K-12 educational settings. Those studies that focused on K-12 are scattered, making it difficult to specifically know which visualization tools best enhance Machine Learning in K-12 schools. This study, therefore, through a systematic literature review determines which visualization tools best promote Machine Learning in K-12 schools. The study specifically considered, barriers to the use of Machine Learning in K-12 schools,  visualization tools for Machine Learning in K-12 schools, and pedagogical strategies that benefit the teaching and learning of Machine Learning in K-12 schools. The study sourced articles from Scopus and the Web of Science database after applying the inclusion and exclusion criteria. Data from the articles were extracted based on the PICO framework and their quality was assessed using the Critical Appraisal Skills Programme (CASP) model. The barriers to Machine Learning in K-12 schools include a lack of information about the development and usage of the tools, selection, and coordination barriers, lack of attention to machine learning by educational stakeholders, and programming demands.  Appropriate visualization tools for Machine Learning in K-12 schools include  MLflow and NN-SVG. Though there exist numerous approaches for teaching ML in K-12 settings such as active learning, inquiry-based, participatory learning, and design-oriented approaches, the best pedagogy that supports machine learning in K-12 schools as per existing literature is participatory learning. Teachers need to acquire the appropriate and specific information and technical know-how or skills about machine learning for promoting visualization lessons in K-12 schools. All teachers should be sensitized to adopt participatory learning pedagogy to enhance the effective use of machine learning in K-12 schools.  Machine learning should be integrated into teaching and learning in K-12 schools since it is ideal for visualization and experimentation, which are inevitable for effective teaching and learning in K-12 schools.
虽然对机器学习进行了研究,但几乎所有的研究都集中在高等教育机构,很少关注 K-12 教育环境。那些关注 K-12 教育环境的研究比较分散,因此很难具体了解哪些可视化工具最能促进 K-12 学校的机器学习。因此,本研究通过系统的文献回顾,确定了哪些可视化工具最能促进 K-12 学校的机器学习。研究特别考虑了在 K-12 学校中使用机器学习的障碍、K-12 学校中机器学习的可视化工具,以及有利于 K-12 学校中机器学习教学的教学策略。研究采用了纳入和排除标准,从 Scopus 和 Web of Science 数据库中获取文章。根据 PICO 框架提取了文章中的数据,并使用批判性评估技能计划(CASP)模型对其质量进行了评估。在 K-12 学校开展机器学习的障碍包括缺乏有关工具开发和使用的信息、选择和协调障碍、教育利益相关者对机器学习缺乏关注以及编程需求。 适用于 K-12 学校机器学习的可视化工具包括 MLflow 和 NN-SVG。尽管在 K-12 环境中存在许多教授机器学习的方法,如主动学习法、探究式学习法、参与式学习法和设计导向法,但根据现有文献,支持 K-12 学校机器学习的最佳教学法是参与式学习法。教师需要获得有关机器学习的适当而具体的信息和技术诀窍或技能,以便在K-12学校推广可视化课程。应提高所有教师对采用参与式学习教学法的认识,以加强机器学习在K-12学校中的有效应用。 机器学习是可视化和实验的理想工具,而可视化和实验是K-12学校有效教学的必然选择,因此应将机器学习融入K-12学校的教学中。
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引用次数: 0
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International Journal of Studies in Education and Science
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