Pub Date : 2023-01-16DOI: 10.1109/IEEECONF56852.2023.10104787
Laura M. Yeomans-Galli, M. P. Vela-Coiffier, Raquel V. Gutiérrez-Hernández, Romeo Ballinas-Gonzalez
Undergraduate students enrolled in Civil Engineering, Architecture, and Urban Planning (CAU) must develop competencies in Geomatics and Topography (G& T) as part of their learning process. During this time, theoretical concepts are traditionally taught with field practice using specialized tools such as a theodolite, laser level, and total station. Due to the environmental restrictions of the COVID-19 pandemic, traditional field practice (TFP) was suspended, preventing access to equipment and study areas. The use of Information and Communication Technologies (ICT), such as Building Information Modeling (BIM) and Virtual Reality (VR), have been explored in the last decade for educational purposes. This paper studies the benefits of using these tools for developing G& T skills. This research aimed to assess students’ learning outcomes using a traditional G& T teaching method and a new methodology based on Virtual Field Practice (VFP) for CAU students. The methodology provides a virtual study area for the CAU student by integrating point clouds derived from photogrammetry and terrestrial laser scanning. It also assesses their learning results and compares them against a control group using a validated instrument. Findings suggest continuing with fieldwork for a greater understanding and correct application of G& T concepts by students, and using virtual models as an efficient way to complement the acquisition of spatial information in the teaching-learning process. Until the publication of this article, we found no evidence in the literature at the undergraduate level of applying exercises like those proposed.
{"title":"Comparing the Use of Virtual Models vs. Fieldwork in Developing Geomatics Skills in Undergraduate Engineering Education During the COVID-19 Pandemic","authors":"Laura M. Yeomans-Galli, M. P. Vela-Coiffier, Raquel V. Gutiérrez-Hernández, Romeo Ballinas-Gonzalez","doi":"10.1109/IEEECONF56852.2023.10104787","DOIUrl":"https://doi.org/10.1109/IEEECONF56852.2023.10104787","url":null,"abstract":"Undergraduate students enrolled in Civil Engineering, Architecture, and Urban Planning (CAU) must develop competencies in Geomatics and Topography (G& T) as part of their learning process. During this time, theoretical concepts are traditionally taught with field practice using specialized tools such as a theodolite, laser level, and total station. Due to the environmental restrictions of the COVID-19 pandemic, traditional field practice (TFP) was suspended, preventing access to equipment and study areas. The use of Information and Communication Technologies (ICT), such as Building Information Modeling (BIM) and Virtual Reality (VR), have been explored in the last decade for educational purposes. This paper studies the benefits of using these tools for developing G& T skills. This research aimed to assess students’ learning outcomes using a traditional G& T teaching method and a new methodology based on Virtual Field Practice (VFP) for CAU students. The methodology provides a virtual study area for the CAU student by integrating point clouds derived from photogrammetry and terrestrial laser scanning. It also assesses their learning results and compares them against a control group using a validated instrument. Findings suggest continuing with fieldwork for a greater understanding and correct application of G& T concepts by students, and using virtual models as an efficient way to complement the acquisition of spatial information in the teaching-learning process. Until the publication of this article, we found no evidence in the literature at the undergraduate level of applying exercises like those proposed.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126895852","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}
Pub Date : 2023-01-16DOI: 10.1109/IEEECONF56852.2023.10104772
Katherina Gallardo, Rosa Elvia Díaz-Méndez, Jesús Aguilar González, Paola Mejía-Almada, H. Ceballos
This paper presents a study of daily food intake records with the help of educational technology. The aim was to analyze higher education students’ patterns of eating. The study took place in a private university in northern Mexico. Two phases were defined for this study. The first was to analyze a daily record of food consumption by 1,068 students. The second corresponded to a virtual reality supermarket where 3,189 students’ activities were registered from 2020 to 2022. Their food purchase decisions were studied based on each product’s nutritional information. Statistically significant differences were found in their eating habits in the variables of age, gender, and physical activity. The intake of sodium, sugar, saturated fats, and other fats consumption was also analyzed. This information is considered helpful for designing auxiliary educational material to promote well-being and food habit strategies for undergraduate students.
{"title":"Tailor-Made Nutrition Education for University Students through Data Science","authors":"Katherina Gallardo, Rosa Elvia Díaz-Méndez, Jesús Aguilar González, Paola Mejía-Almada, H. Ceballos","doi":"10.1109/IEEECONF56852.2023.10104772","DOIUrl":"https://doi.org/10.1109/IEEECONF56852.2023.10104772","url":null,"abstract":"This paper presents a study of daily food intake records with the help of educational technology. The aim was to analyze higher education students’ patterns of eating. The study took place in a private university in northern Mexico. Two phases were defined for this study. The first was to analyze a daily record of food consumption by 1,068 students. The second corresponded to a virtual reality supermarket where 3,189 students’ activities were registered from 2020 to 2022. Their food purchase decisions were studied based on each product’s nutritional information. Statistically significant differences were found in their eating habits in the variables of age, gender, and physical activity. The intake of sodium, sugar, saturated fats, and other fats consumption was also analyzed. This information is considered helpful for designing auxiliary educational material to promote well-being and food habit strategies for undergraduate students.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115776233","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}
Pub Date : 2023-01-16DOI: 10.1109/IEEECONF56852.2023.10104773
Valeria V. Pineda-Romero, C. E. Orozco-Mora, H. Ceballos
Due to the COVID-19 outbreak, people worldwide had to self-quarantine in their homes, resulting in the youth having to continue their education online. The lockdown and the effects of the pandemic impacted students’ mental health, exhibiting frustration, stress, and depression. The latter is not ideal for a healthy learning environment, as it involves many coping mechanisms. This study analyzed a database compiling the habits of 1182 individuals in different age groups at various educational institutes in the Delhi-National Capital Region (NCR), India. It identifies factors leading to proposing recommendations to improve students’ online education experiences worldwide and facilitate their learning while caring for their mental health. A CRISP-DM methodology was followed to build a model capable of predicting students’ satisfaction ratings for online classes by analyzing the students’ demographic information and daily habits.
{"title":"Factors to improve online education: A study on the impact of COVID-19 on Delhi students","authors":"Valeria V. Pineda-Romero, C. E. Orozco-Mora, H. Ceballos","doi":"10.1109/IEEECONF56852.2023.10104773","DOIUrl":"https://doi.org/10.1109/IEEECONF56852.2023.10104773","url":null,"abstract":"Due to the COVID-19 outbreak, people worldwide had to self-quarantine in their homes, resulting in the youth having to continue their education online. The lockdown and the effects of the pandemic impacted students’ mental health, exhibiting frustration, stress, and depression. The latter is not ideal for a healthy learning environment, as it involves many coping mechanisms. This study analyzed a database compiling the habits of 1182 individuals in different age groups at various educational institutes in the Delhi-National Capital Region (NCR), India. It identifies factors leading to proposing recommendations to improve students’ online education experiences worldwide and facilitate their learning while caring for their mental health. A CRISP-DM methodology was followed to build a model capable of predicting students’ satisfaction ratings for online classes by analyzing the students’ demographic information and daily habits.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133775239","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}
Pub Date : 2023-01-16DOI: 10.1109/IEEECONF56852.2023.10104593
Antonio Carlos Bento, David Alonso Cantú Delgado, S. Camacho-Léon
This material presents the results of experimental studies carried out with the Azure.DevOps application in classrooms for computing projects between the years 2021 and 2022, in which the Agile and Scrum process models were applied, according to the needs of the project, the variables used in this research represent an assessment of students’ opinion, as well as the presentation of results according to their disciplines, innovation is represented by the use of this tool in internal disciplines of Instituto Tecnológico de Monterrey, presenting excellent results and satisfaction of the students. The results of this study allowed us to conclude on the efficiency of using the Azure.DevOps application in classrooms, allowing an empirical analysis to make decisions, the results presented were positive, allowing its application in classes for the computing area in which they need a project management to control student activities.
本材料介绍了用Azure进行的实验研究的结果。在2021年至2022年之间的计算项目中应用DevOps的课堂应用，其中应用了敏捷和Scrum过程模型，根据项目的需要，本研究中使用的变量代表了对学生意见的评估，以及根据他们的学科呈现的结果，创新是通过在Instituto Tecnológico de Monterrey内部学科中使用该工具来代表的。呈现优异的成绩和学生的满意度。这项研究的结果使我们能够得出使用Azure的效率的结论。DevOps在课堂上的应用，允许实证分析做出决策，结果是积极的，允许它在课堂上的应用，为计算领域，他们需要一个项目管理来控制学生的活动。
{"title":"Experimental Survey Results on Azure.DevOps Application for Management Student’s Projects","authors":"Antonio Carlos Bento, David Alonso Cantú Delgado, S. Camacho-Léon","doi":"10.1109/IEEECONF56852.2023.10104593","DOIUrl":"https://doi.org/10.1109/IEEECONF56852.2023.10104593","url":null,"abstract":"This material presents the results of experimental studies carried out with the Azure.DevOps application in classrooms for computing projects between the years 2021 and 2022, in which the Agile and Scrum process models were applied, according to the needs of the project, the variables used in this research represent an assessment of students’ opinion, as well as the presentation of results according to their disciplines, innovation is represented by the use of this tool in internal disciplines of Instituto Tecnológico de Monterrey, presenting excellent results and satisfaction of the students. The results of this study allowed us to conclude on the efficiency of using the Azure.DevOps application in classrooms, allowing an empirical analysis to make decisions, the results presented were positive, allowing its application in classes for the computing area in which they need a project management to control student activities.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130173162","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}
In recent years we have seen an exponential increase in data science in any area of our lives, and it is a cornerstone of technological advances in the last decade. This advance in data science would not be possible without a rebirth of Statistics. Until a few years ago Statistics was considered a support course for engineering courses, Nowadays Statistics has taken a relevant role as a fundamental science for generating Data Science. Machine Learning would not be possible without analysing data patterns and approximating them to probability distributions to generate self-learning algorithms. A new vision of linear regression allows analysing the relationship between different variables under analysis that can predict the response variable. At the Tecnologico de Monterrey, subjects such as Design of experiments, Probability, and Statistics have been focused on supporting the analysis of data science, redesigning the way of learning in the classroom, and seeking a new mentality in students to develop their data analysis skills. Students can analyse complex situations through problem-solving and Statistics.
{"title":"The importance of statistics in data science, how to redesign classroom learning in the TEC21 educative model.","authors":"Verónica Saavedra Gastélum, Carlos Alberto González Almaguer, Eréndira Gabriela Avilés Rabanales, Ángeles Carolina Aguirre Acosta, Eduardo Caballero Montes, Claudia Zubieta Ramírez","doi":"10.1109/IEEECONF56852.2023.10105024","DOIUrl":"https://doi.org/10.1109/IEEECONF56852.2023.10105024","url":null,"abstract":"In recent years we have seen an exponential increase in data science in any area of our lives, and it is a cornerstone of technological advances in the last decade. This advance in data science would not be possible without a rebirth of Statistics. Until a few years ago Statistics was considered a support course for engineering courses, Nowadays Statistics has taken a relevant role as a fundamental science for generating Data Science. Machine Learning would not be possible without analysing data patterns and approximating them to probability distributions to generate self-learning algorithms. A new vision of linear regression allows analysing the relationship between different variables under analysis that can predict the response variable. At the Tecnologico de Monterrey, subjects such as Design of experiments, Probability, and Statistics have been focused on supporting the analysis of data science, redesigning the way of learning in the classroom, and seeking a new mentality in students to develop their data analysis skills. Students can analyse complex situations through problem-solving and Statistics.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126268330","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}
Pub Date : 2023-01-16DOI: 10.1109/IEEECONF56852.2023.10105072
Kingsley Okoye, Syed Islam, U. Naeem, S. Hosseini
Today, the growing technological turnaround from ‘‘big data’’ to ‘‘big analytics’’ has made it essential for process scientists and analysts to leverage more powerful techniques in analyzing and understanding the different types of data and formats, otherwise allied to the notion of‘‘semantic data engineering Technological advancement has provided data mining solutions capable of processing the data/information in formats that are conceptually comprehended by humans and computers in real-time or realworld settings, and facilitating building of systems and applications that inclusively manage the information or data they contain (machine-understandable systems). For this purpose, this study introduced a ‘‘semantic-based process mining’’ technique capable of discovering abstract or useful information or models from event logs of a learning process (educational domain), and then subsequently used to predict users’ patterns through the semantically-inclined modeling and exploration of the discovered process models. Technically, the study focused on improving the results/outcomes of the learning process and mining using the set of proposed algorithms and model that incorporates semantic annotation (labeling), semantic representations (ontology), and semantic reasoning (inference modules or reasoner) of the discovered models. In turn, the outcome of the method shows that data processing and models analyses provided by traditional process mining techniques in education can be enhanced by adding ‘‘semantic information’’ (properties description) to the discovered models or events $log$ about the processes and domain.
{"title":"Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining","authors":"Kingsley Okoye, Syed Islam, U. Naeem, S. Hosseini","doi":"10.1109/IEEECONF56852.2023.10105072","DOIUrl":"https://doi.org/10.1109/IEEECONF56852.2023.10105072","url":null,"abstract":"Today, the growing technological turnaround from ‘‘big data’’ to ‘‘big analytics’’ has made it essential for process scientists and analysts to leverage more powerful techniques in analyzing and understanding the different types of data and formats, otherwise allied to the notion of‘‘semantic data engineering Technological advancement has provided data mining solutions capable of processing the data/information in formats that are conceptually comprehended by humans and computers in real-time or realworld settings, and facilitating building of systems and applications that inclusively manage the information or data they contain (machine-understandable systems). For this purpose, this study introduced a ‘‘semantic-based process mining’’ technique capable of discovering abstract or useful information or models from event logs of a learning process (educational domain), and then subsequently used to predict users’ patterns through the semantically-inclined modeling and exploration of the discovered process models. Technically, the study focused on improving the results/outcomes of the learning process and mining using the set of proposed algorithms and model that incorporates semantic annotation (labeling), semantic representations (ontology), and semantic reasoning (inference modules or reasoner) of the discovered models. In turn, the outcome of the method shows that data processing and models analyses provided by traditional process mining techniques in education can be enhanced by adding ‘‘semantic information’’ (properties description) to the discovered models or events $log$ about the processes and domain.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121110064","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}
Pub Date : 2023-01-16DOI: 10.1109/IEEECONF56852.2023.10105111
S. V. Singh
Almost every facet of modern life incorporates some form of AI. It is a rapidly developing field of study that promises to revolutionize every facet of human interaction. New methods of instruction and methods of assessing student progress will be developed and tested with the help of AI. With the use of modern educational technology, educational goals can be more effectively realized and managed. This research investigates the influence of Adaptive Learning (AL) on both students and educators via the lens of AGS implementation. Students who have received training in the use of technology are more likely to be self-directed and motivated to evaluate their own development as learners because of the usage of Automated Grading Learning Systems (AGLS). Teachers’ workloads are reduced by AGLS because it allows them to deliver timely and relevant feedback to students and because it opens more avenues for constructive student-teacher interaction.
{"title":"The Prospects for Advancing Adaptive Learning Technology through AI Methods","authors":"S. V. Singh","doi":"10.1109/IEEECONF56852.2023.10105111","DOIUrl":"https://doi.org/10.1109/IEEECONF56852.2023.10105111","url":null,"abstract":"Almost every facet of modern life incorporates some form of AI. It is a rapidly developing field of study that promises to revolutionize every facet of human interaction. New methods of instruction and methods of assessing student progress will be developed and tested with the help of AI. With the use of modern educational technology, educational goals can be more effectively realized and managed. This research investigates the influence of Adaptive Learning (AL) on both students and educators via the lens of AGS implementation. Students who have received training in the use of technology are more likely to be self-directed and motivated to evaluate their own development as learners because of the usage of Automated Grading Learning Systems (AGLS). Teachers’ workloads are reduced by AGLS because it allows them to deliver timely and relevant feedback to students and because it opens more avenues for constructive student-teacher interaction.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123766734","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}
Pub Date : 2023-01-16DOI: 10.1109/IEEECONF56852.2023.10105031
Francisco Javier Moctezuma Montano
Currently, several operations management philosophies, tools, and techniques support continuous improvement processes in manufacturing and services companies operating under Industry 4.0 standards. One of the main factors in achieving implementation success is effective communication. The problem is that these continuous improvement solutions often only provide the companies with the procedures, guidelines, success factors, technical skills, and performance measures pertinent to each company. However, effective communication is a critical success factor that, most of the time, is not considered in implementing those solutions. For this reason, an effective communication model is needed to support implementing continuous improvement solutions and new approaches within Industry 4.0. This paper aims to present an effective communication model for implementing continuous improvement solutions in Industry 4.0 manufacturing and services companies. The model was implemented in several organizations with measurements of its impact. The final idea is to export this model to other types of organizations with other approaches to increase the implementation of continuous improvement solutions. The theoretical framework is based on coaching concepts and tools, including effective communication factors.
{"title":"A Model for Improving Communication in Manufacturing and Services Companies in an Industry 4.0 Environment.","authors":"Francisco Javier Moctezuma Montano","doi":"10.1109/IEEECONF56852.2023.10105031","DOIUrl":"https://doi.org/10.1109/IEEECONF56852.2023.10105031","url":null,"abstract":"Currently, several operations management philosophies, tools, and techniques support continuous improvement processes in manufacturing and services companies operating under Industry 4.0 standards. One of the main factors in achieving implementation success is effective communication. The problem is that these continuous improvement solutions often only provide the companies with the procedures, guidelines, success factors, technical skills, and performance measures pertinent to each company. However, effective communication is a critical success factor that, most of the time, is not considered in implementing those solutions. For this reason, an effective communication model is needed to support implementing continuous improvement solutions and new approaches within Industry 4.0. This paper aims to present an effective communication model for implementing continuous improvement solutions in Industry 4.0 manufacturing and services companies. The model was implemented in several organizations with measurements of its impact. The final idea is to export this model to other types of organizations with other approaches to increase the implementation of continuous improvement solutions. The theoretical framework is based on coaching concepts and tools, including effective communication factors.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133686076","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}
Pub Date : 2023-01-16DOI: 10.1109/IEEECONF56852.2023.10104976
A. Ar, Yaprak Dalat Ward, E. H. García, A. Abbas
This study investigates and critically assesses the reported pedagogical strategies for teaching sustainability in business schools and looks into Modern Responsible Management Education (MRME) evolving as a central part of business education curricula, mainly supported by digital teaching tools and virtual reality. The study utilizes the ‘‘Preferred Reporting Items for Systematic Reviews and Meta-Analyses’’ (PRISMA) framework to answer the following two research questions: (1) What are the state-of-the-art practices in business schools in terms of sustainability? (2) What digital tools are most commonly used to support sustainability-related learning concepts? Data was curated from the Web of Science Core Collection databases from the last five years. The initial search keywords included ‘‘Sustainability’’ + ‘‘Business Education’’ +$primeprime Technolog mathrm{y}$” and yielded 1,477 scholarly works. However, after the PRISMA technique was employed, 286 scholarly sources were identified as eligible for the scope of the study. The findings highlight three main critical points: (1) gamitication techniques can enhance student learning outcomes in sustainability and, in particular, critical thinking; (2) e-platforms and other digital tools can support students’ sustainabilityrelated skills development while emphasizing the importance of sustainability; and (3) e-platforms and virtual pedagogical tools can generate a collaborative and integrated learning environment leading to community-centric mindset. Furthermore, the literature indicated that sustainability-related courses raised awareness of various socio-economic factions and changes in industrial structures toward environmentally friendly organizations and led to betterjob prospects.
本研究调查并批判性地评估了商学院可持续性教学的教学策略，并研究了现代负责任管理教育(MRME)作为商业教育课程核心部分的演变，主要由数字教学工具和虚拟现实支持。本研究利用“系统评价和荟萃分析的首选报告项目”(PRISMA)框架来回答以下两个研究问题:(1)商学院在可持续性方面的最新实践是什么?(2)最常用于支持与可持续发展相关的学习概念的数字工具是什么?数据是从过去五年的Web of Science Core Collection数据库中整理出来的。最初的搜索关键词包括“可持续发展”+“商业教育”+“$primeprime technology mathrm{y}$”，得到1477篇学术论文。然而，在采用PRISMA技术后，286个学术来源被确定为符合研究范围的。研究结果强调了三个关键点:(1)游戏化技术可以提高学生在可持续性方面的学习成果，尤其是批判性思维;(2)电子平台和其他数字工具可以在强调可持续性重要性的同时支持学生的可持续发展相关技能发展;(3)电子平台和虚拟教学工具可以产生协作和整合的学习环境，从而形成以社区为中心的思维模式。此外，文献表明，与可持续性有关的课程提高了各种社会经济派别和工业结构向环境友好组织的变化的认识，并导致更好的就业前景。
{"title":"Emerging Perspectives on Sustainability in Business Schools: A Systematic Literature Review of Pedagogical Tools in Teaching Sustainability","authors":"A. Ar, Yaprak Dalat Ward, E. H. García, A. Abbas","doi":"10.1109/IEEECONF56852.2023.10104976","DOIUrl":"https://doi.org/10.1109/IEEECONF56852.2023.10104976","url":null,"abstract":"This study investigates and critically assesses the reported pedagogical strategies for teaching sustainability in business schools and looks into Modern Responsible Management Education (MRME) evolving as a central part of business education curricula, mainly supported by digital teaching tools and virtual reality. The study utilizes the ‘‘Preferred Reporting Items for Systematic Reviews and Meta-Analyses’’ (PRISMA) framework to answer the following two research questions: (1) What are the state-of-the-art practices in business schools in terms of sustainability? (2) What digital tools are most commonly used to support sustainability-related learning concepts? Data was curated from the Web of Science Core Collection databases from the last five years. The initial search keywords included ‘‘Sustainability’’ + ‘‘Business Education’’ +$primeprime Technolog mathrm{y}$” and yielded 1,477 scholarly works. However, after the PRISMA technique was employed, 286 scholarly sources were identified as eligible for the scope of the study. The findings highlight three main critical points: (1) gamitication techniques can enhance student learning outcomes in sustainability and, in particular, critical thinking; (2) e-platforms and other digital tools can support students’ sustainabilityrelated skills development while emphasizing the importance of sustainability; and (3) e-platforms and virtual pedagogical tools can generate a collaborative and integrated learning environment leading to community-centric mindset. Furthermore, the literature indicated that sustainability-related courses raised awareness of various socio-economic factions and changes in industrial structures toward environmentally friendly organizations and led to betterjob prospects.","PeriodicalId":445092,"journal":{"name":"2023 Future of Educational Innovation-Workshop Series Data in Action","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114639456","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}
Pub Date : 2023-01-16DOI: 10.1109/IEEECONF56852.2023.10104663
Antonio Carlos Bento, Daniel Couto Gatti
This document presents experimental results about an applied survey on Internet of Things (IoT) projects, applying resources and developing solutions for create prototypes using Tinkercad Circuits application for computing classes. The results of this experiment were able to prove the capability of online solutions for share the development and to managing the operations and process while working with IoT applications. The results of this studies allowed to see and show the viability to build online solutions, which can contribute for a physical solution, practical and applicable for real projects, the prototype allowed to verify the functionality of a physical solution, avoiding issues as device damages, costs, other devices attachment and loss of time for solutions development. These results will allow the development of the solutions with no cost, fast, practical and with a professional point of view, helping professionals, students, experts, and others individual which need to develop IoT solutions and with low code and remotely. Qualitative and quantitative variables used for comparisons and result analysis on the participants’ opinion, which pointed to consistent and valuable results for the development of solutions using the tool.
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