MSOR connections最新文献_第2页

Applied Data Analysis: A Problem-based Learning Approach 应用数据分析：基于问题的学习方法

MSOR connections Pub Date : 2024-04-04 DOI: 10.21100/msor.v22i2.1473

Ann Smith

{"title":"Applied Data Analysis: A Problem-based Learning Approach","authors":"Ann Smith","doi":"10.21100/msor.v22i2.1473","DOIUrl":"https://doi.org/10.21100/msor.v22i2.1473","url":null,"abstract":"This paper examines the transition of a conventional multivariate statistics module to a problem-based learning module, first implemented in 2021. The primary objective was to enhance students’ problem-solving skills, bridging the gap between mathematical concepts and real-world applications. The approach was implemented to instil a deeper understanding of real-world data analysis, emphasising the interpretation of domain specific problems in mathematical terms and the production of reports for industrial stakeholders.Findings indicate that the integration of problem-based methods not only improved students’ comprehension of statistical techniques but also fostered a more profound appreciation for their practical utility in diverse professional contexts. The problem-solving cycle, a central component of the approach, guided students in critically analysing complex challenges and formulating data driven solutions. Furthermore, this study emphasises the potential for replicating the industrial study group experience within an undergraduate teaching environment.Adopting a problem-based learning approach in the teaching of data analysis empowers students to apply their analytical skills effectively to real-world scenarios, strengthening their capacity to communicate insights and solutions to industrial stakeholders. The study underscores the value of aligning educational practices with the demands of data-driven industries, providing students with a competitive advantage in future research and the job market. The study is descriptive and reflective in nature.","PeriodicalId":18932,"journal":{"name":"MSOR connections","volume":"14 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140745036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Creating authentic assessment in mathematics 创建真实的数学评估

MSOR connections Pub Date : 2024-04-04 DOI: 10.21100/msor.v22i2.1484

Ria Symonds, Lisa Mott

{"title":"Creating authentic assessment in mathematics","authors":"Ria Symonds, Lisa Mott","doi":"10.21100/msor.v22i2.1484","DOIUrl":"https://doi.org/10.21100/msor.v22i2.1484","url":null,"abstract":"Assessment of students’ mathematics knowledge within higher education (HE) has normally taken a very traditional approach. Closed-book assessments have long been the favoured mode of assessment (Iannone Simpson, 2011) which often requires students to recall facts, formulae, and methods. One could argue that this type of assessment is limited in its ability to effectively assess how well a student’s ability to authentically use mathematics has developed. Due to the recent pandemic, many institutions were forced to rethink their assessment methods so that they could be delivered online and remotely. As such, there has been a renewed sense of need for more ‘authentic’ assessments for mathematics-based programmes.In this paper, we will discuss our journey of creating more authentic assessments for apprentices enrolled on a new Data Science Degree Apprenticeship, particularly in mathematics/statistics. We will compare two years of delivery of the course; the first year of delivery which comprised of traditional assessment methods (coursework/exam) and the second year of delivery that used more authentic assessment methods. We will discuss the pros and cons of each model by reflecting on our practice and drawing on apprentices’ feedback.","PeriodicalId":18932,"journal":{"name":"MSOR connections","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140741407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Project-based learning integrated with e-Assessment 基于项目的学习与电子评估相结合

MSOR connections Pub Date : 2024-04-04 DOI: 10.21100/msor.v22i2.1477

Ben Derrick, Iain Weir

引用次数: 1

Authenticity in Learning, Teaching and Assessment 学习、教学和评估的真实性

MSOR connections Pub Date : 2024-04-04 DOI: 10.21100/msor.v22i2.1488

Brendan Masterson, Nick Sharples, Matthew M. Jones, Snezana Lawrence, A. Megeney

引用次数: 0

What role does Skill Centre based consultancy serve in mathematics and statistics teaching communities of practice? 基于技能中心的咨询在数学和统计教学实践社区中发挥什么作用？

MSOR connections Pub Date : 2024-04-04 DOI: 10.21100/msor.v22i2.1475

Tamsin Smith, Evi Papadaki

{"title":"What role does Skill Centre based consultancy serve in mathematics and statistics teaching communities of practice?","authors":"Tamsin Smith, Evi Papadaki","doi":"10.21100/msor.v22i2.1475","DOIUrl":"https://doi.org/10.21100/msor.v22i2.1475","url":null,"abstract":"Mathematics and Statistics Teaching (MAST) is a staff facing service set up by the University of Bath Mathematics Resource Centre in September 2021. The service was created to collaborate with academics involved in mathematics and statistics teaching in their academic departments. In September 2023, MAST ended its pilot phase and entered a new growth phase fine-tuning existing structures and practices. During the pilot phase, MAST worked with academics consulting on enriching their programme of study and/or teaching practices. Specifically, the key principle that guides MAST is engaging in long-term sustainable collaborations with academic departments. As a means to address the key principle, we explore the potential of building communities of practice and supporting a wider network across the range of disciplines who encounter similar objectives. Facilitating a wider community of practice could be challenging, especially considering the tight schedule of the academics involved. We discuss our plans to cultivate communities of practice within departments and how we are working towards meeting our goal of establishing best practice and collecting evidence to support a wider community.","PeriodicalId":18932,"journal":{"name":"MSOR connections","volume":"6 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140742360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A level Mathematics (England) grade distributions and grade boundaries 2019-2023 2019-2023年A级数学（英格兰）成绩分布和等级界限

MSOR connections Pub Date : 2024-01-03 DOI: 10.21100/msor.v22i1.1468

Paul Glaister

引用次数: 0

An Accessible Maths Journey 无障碍数学之旅

MSOR connections Pub Date : 2024-01-03 DOI: 10.21100/msor.v22i1.1455

Lilian Joy

引用次数: 0

The new normal: What does maths and stats support and teaching look like post pandemic? 新常态：大流行后的数学和统计支持与教学是什么样的？

MSOR connections Pub Date : 2024-01-03 DOI: 10.21100/msor.v22i1.1471

Susan Pawley, Andrew Neate

引用次数: 0

Designing a blended delivery foundation mathematics course: Targeting self-efficacy, skill development and social connectedness 设计混合式教学基础数学课程：以自我效能、技能发展和社会联系为目标

MSOR connections Pub Date : 2024-01-03 DOI: 10.21100/msor.v22i1.1451

Rosie A. Cameron

引用次数: 0

Capacity Building in Mathematics and Statistics Learning Support in Norway and the Czech Republic (MSLS Net) 挪威和捷克共和国在数学和统计学习支持方面的能力建设（MSLS Net）

MSOR connections Pub Date : 2024-01-03 DOI: 10.21100/msor.v22i1.1464

Josef Rebenda, Zuzana Pátíková, Martin Chvátal, Svitlana Rogovchenko, Tørris Koløen Bakke, Tony Croft

{"title":"Capacity Building in Mathematics and Statistics Learning Support in Norway and the Czech Republic (MSLS Net)","authors":"Josef Rebenda, Zuzana Pátíková, Martin Chvátal, Svitlana Rogovchenko, Tørris Koløen Bakke, Tony Croft","doi":"10.21100/msor.v22i1.1464","DOIUrl":"https://doi.org/10.21100/msor.v22i1.1464","url":null,"abstract":"This report describes the final meeting of the project \"Capacity Building in Mathematics and Statistics Learning Support in Norway and the Czech Republic (MSLS Net)\" held at the Tomas Bata University in Zlín, Czech Republic (June 12-14, 2023). Provision of mathematics and statistics learning support (MSLS) is developing rapidly in many parts of the world and activity in Norway and the Czech Republic has been accelerated significantly through this EEA Grants funded project. Representatives of each of the five partner institutions worked on creating a summary of good practices in tutor training, designing learning resources, and in delivering, monitoring and evaluation of mathematics and statistics support. Provision varied considerably across the institutions and the centres represented demonstrated diverse and innovative ways in which mathematics support is evolving. Outputs from the project include a Handbook on good practice and a booklet concerned with mathematics support centre tutor training, including pedagogic training and learning resources for the development of the tutors as described below. Finally, consideration turned to the value of establishing a professional network to continue this important work. The report will be relevant to other international groups interested in working in university level mathematics and statistics support.","PeriodicalId":18932,"journal":{"name":"MSOR connections","volume":"46 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139388415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0