Pub Date : 2024-01-30DOI: 10.3991/ijep.v14i1.47051
N. Alsalhi, Ayman Faza, Abdallah Qusef, Aras Al-Dawoodi, E. A. Shudayfat
The primary goal of this research has been to examine the perceptions related to the use of simulation software in the context of e-learning at Engineering PSUT in Jordan, which is acknowledged as one of the leading private universities in the country. The present study and a descriptive study utilized a 25-item survey given to 270 students. The research findings indicate that, according to the students’ subjective viewpoint, the effectiveness of simulation software in the context of online learning was observed to be significantly high. This observation is supported by an average score of 3.89 and a standard deviation of 0.959, indicating a relatively consistent perception among the participants. The study’s results indicate that there were no significant variations observed in terms of academic year, computer skills, student GPA or gender parameters. The research findings underscore the importance of incorporating simulation software in higher educational institutions to improve the teaching and learning experience.
{"title":"A Case Study of Princess Sumaya University for Technology (PSUT) Engineering Students' Perceptions of Utilizing Simulation Software via Online Learning","authors":"N. Alsalhi, Ayman Faza, Abdallah Qusef, Aras Al-Dawoodi, E. A. Shudayfat","doi":"10.3991/ijep.v14i1.47051","DOIUrl":"https://doi.org/10.3991/ijep.v14i1.47051","url":null,"abstract":"The primary goal of this research has been to examine the perceptions related to the use of simulation software in the context of e-learning at Engineering PSUT in Jordan, which is acknowledged as one of the leading private universities in the country. The present study and a descriptive study utilized a 25-item survey given to 270 students. The research findings indicate that, according to the students’ subjective viewpoint, the effectiveness of simulation software in the context of online learning was observed to be significantly high. This observation is supported by an average score of 3.89 and a standard deviation of 0.959, indicating a relatively consistent perception among the participants. The study’s results indicate that there were no significant variations observed in terms of academic year, computer skills, student GPA or gender parameters. The research findings underscore the importance of incorporating simulation software in higher educational institutions to improve the teaching and learning experience.","PeriodicalId":170699,"journal":{"name":"Int. J. Eng. Pedagog.","volume":"69 1","pages":"96-111"},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140483549","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 : 2024-01-30DOI: 10.3991/ijep.v14i1.47085
Maysam Raad Yousif, Linda Talib Ameen, Basim Mohamed Jassim, Ban Hassan Majeed
Active learning is a teaching method that involves students actively participating in activities, exercises, and projects within a rich and diverse educational environment. The teacher plays a role in encouraging students to take responsibility for their own education under their scientific and pedagogical supervision and motivates them to achieve ambitious educational goals that focus on developing an integrated personality for today’s students and tomorrow’s leaders. It is important to understand the impact of two proposed strategies based on active learning on the academic performance of first-class intermediate students in computer subjects and their social intelligence. The research sample was intentionally selected, consisting of 99 students. The experimental group comprised 33 students from division (B) who were taught according to the first proposed strategy, while the second experimental group, represented by division (A), and also consisted of 33 students. The control group, made up of 33 students from division (C), was taught using the usual method. Two tools have been prepared: an achievement test with 40 items and a measure of social intelligence consisting of 20 items. The research results indicated that the experimental groups, which utilized the first and second proposed strategies based on active learning, outperformed the control group. As a result, several conclusions, recommendations, and proposals were made.
{"title":"The Impact of Two Proposed Strategies Based on Active Learning on Students' Achievement at the Computer and Their Social Intelligence","authors":"Maysam Raad Yousif, Linda Talib Ameen, Basim Mohamed Jassim, Ban Hassan Majeed","doi":"10.3991/ijep.v14i1.47085","DOIUrl":"https://doi.org/10.3991/ijep.v14i1.47085","url":null,"abstract":"Active learning is a teaching method that involves students actively participating in activities, exercises, and projects within a rich and diverse educational environment. The teacher plays a role in encouraging students to take responsibility for their own education under their scientific and pedagogical supervision and motivates them to achieve ambitious educational goals that focus on developing an integrated personality for today’s students and tomorrow’s leaders. It is important to understand the impact of two proposed strategies based on active learning on the academic performance of first-class intermediate students in computer subjects and their social intelligence. The research sample was intentionally selected, consisting of 99 students. The experimental group comprised 33 students from division (B) who were taught according to the first proposed strategy, while the second experimental group, represented by division (A), and also consisted of 33 students. The control group, made up of 33 students from division (C), was taught using the usual method. Two tools have been prepared: an achievement test with 40 items and a measure of social intelligence consisting of 20 items. The research results indicated that the experimental groups, which utilized the first and second proposed strategies based on active learning, outperformed the control group. As a result, several conclusions, recommendations, and proposals were made.","PeriodicalId":170699,"journal":{"name":"Int. J. Eng. Pedagog.","volume":"607 ","pages":"39-49"},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140483065","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 : 2024-01-30DOI: 10.3991/ijep.v14i1.42391
Bayan U. Kuanbayeva, Nurgul Shazhdekeyeva, Galiya Zhusupkalieva, K. Mukhtarkyzy, G. Abildinova
This study investigates the application of augmented reality (AR) technology to facilitate collaborative learning in science education. The study involved 30 secondary school students in Kazakhstan, who were divided into an experimental group and a control group. The experimental group utilized an AR platform to facilitate collaborative learning during their science lessons, while the control group received traditional teaching methods. The study aimed to investigate the impact of AR on students’ learning outcomes, communication and collaboration skills, and overall satisfaction with science education. The research design involved pre- and post-tests, as well as a survey of students’ perceptions of the AR experience. The results indicated that the experimental group demonstrated statistically significant improvement in their science test scores compared to the control group. Furthermore, the students in the experimental group reported a high level of engagement and satisfaction with the AR platform, along with enhanced communication and collaboration skills. The study suggests that AR technology has the potential to improve collaborative learning in science education and provides new opportunities for engaging students and enhancing their learning outcomes. The findings have significant implications for educators interested in integrating AR technology into their teaching practices as well as for researchers exploring the use of AR in education. Further research is necessary to investigate the long-term effects of AR on learning outcomes and to determine the most effective methods for incorporating AR technology into science education.
本研究调查了在科学教育中应用增强现实（AR）技术促进协作学习的情况。研究涉及哈萨克斯坦的 30 名中学生，他们被分为实验组和对照组。实验组利用 AR 平台促进科学课上的协作学习，而对照组则采用传统的教学方法。该研究旨在调查 AR 对学生的学习成果、沟通和协作技能以及对科学教育的总体满意度的影响。研究设计包括前测和后测，以及学生对 AR 体验的看法调查。结果表明，与对照组相比，实验组的科学考试成绩在统计学上有显著提高。此外，实验组学生对 AR 平台的参与度和满意度都很高，沟通和协作能力也得到了增强。这项研究表明，AR 技术有可能改善科学教育中的协作学习，并为吸引学生参与和提高他们的学习成绩提供了新的机会。研究结果对有意将 AR 技术融入教学实践的教育工作者以及探索在教育中使用 AR 的研究人员具有重要意义。有必要进一步研究 AR 对学习成果的长期影响，并确定将 AR 技术融入科学教育的最有效方法。
{"title":"Investigating the Role of Augmented Reality in Supporting Collaborative Learning in Science Education: A Case Study","authors":"Bayan U. Kuanbayeva, Nurgul Shazhdekeyeva, Galiya Zhusupkalieva, K. Mukhtarkyzy, G. Abildinova","doi":"10.3991/ijep.v14i1.42391","DOIUrl":"https://doi.org/10.3991/ijep.v14i1.42391","url":null,"abstract":"This study investigates the application of augmented reality (AR) technology to facilitate collaborative learning in science education. The study involved 30 secondary school students in Kazakhstan, who were divided into an experimental group and a control group. The experimental group utilized an AR platform to facilitate collaborative learning during their science lessons, while the control group received traditional teaching methods. The study aimed to investigate the impact of AR on students’ learning outcomes, communication and collaboration skills, and overall satisfaction with science education. The research design involved pre- and post-tests, as well as a survey of students’ perceptions of the AR experience. The results indicated that the experimental group demonstrated statistically significant improvement in their science test scores compared to the control group. Furthermore, the students in the experimental group reported a high level of engagement and satisfaction with the AR platform, along with enhanced communication and collaboration skills. The study suggests that AR technology has the potential to improve collaborative learning in science education and provides new opportunities for engaging students and enhancing their learning outcomes. The findings have significant implications for educators interested in integrating AR technology into their teaching practices as well as for researchers exploring the use of AR in education. Further research is necessary to investigate the long-term effects of AR on learning outcomes and to determine the most effective methods for incorporating AR technology into science education.","PeriodicalId":170699,"journal":{"name":"Int. J. Eng. Pedagog.","volume":"53 22","pages":"149-161"},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140480258","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}
The COVID-19 pandemic has brought about significant changes in people’s lifestyles, with the educational sector being one of the most reliant on technology to facilitate the teaching and learning process. In this literature review, a search for articles related to the metaverse in education, published in 2022 and 2023, has been conducted across six databases: Scopus, EBSCO Host, ScienceDirect, Taylor & Francis Online, IEEE Xplore, and Springer. The PRISMA methodology was used to analyze and systematize the manuscripts found. The aim of this research was to examine how integrating the metaverse into education can enhance educational accessibility and equity by enabling students to utilize virtual learning resources and opportunities. In addition, they can engage in interactions with others to learn and create interactive content during the teaching and learning process. This requires a commitment from the student because a connection between the student and the machine will be established through the use of emerging technologies. These technologies offer unique opportunities to enhance teaching quality, broaden access to education, and prepare individuals for an increasingly digital and evolving world. The analysis identified 14 emerging technologies: artificial intelligence, cloud computing, big data, Internet of Things, blockchain, augmented reality, extended reality, virtual reality, 5G, EON-XR, digital twins, 3D virtual reality, and immersive virtual reality. These technologies offer immersion (simulation of a real world in a virtual world), interactivity (interaction with different people), improvement of the educational environment (innovative presentation of content), and motivation for learning (capturing attention). When it comes to the different types of learning, there are six categories: experiential (based on experience), collaborative (involving a guide to lead the process), cooperative (involving teamwork), significant (building on existing knowledge), explicit (self-directed learning), and emotional (involving the regulation of emotions).
{"title":"Benefits of Metaverse Application in Education: A Systematic Review","authors":"Rosalynn Ornella Flores-Castañeda, Sandro Olaya-Cotera, Orlando Iparraguirre-Villanueva","doi":"10.3991/ijep.v14i1.42421","DOIUrl":"https://doi.org/10.3991/ijep.v14i1.42421","url":null,"abstract":"The COVID-19 pandemic has brought about significant changes in people’s lifestyles, with the educational sector being one of the most reliant on technology to facilitate the teaching and learning process. In this literature review, a search for articles related to the metaverse in education, published in 2022 and 2023, has been conducted across six databases: Scopus, EBSCO Host, ScienceDirect, Taylor & Francis Online, IEEE Xplore, and Springer. The PRISMA methodology was used to analyze and systematize the manuscripts found. The aim of this research was to examine how integrating the metaverse into education can enhance educational accessibility and equity by enabling students to utilize virtual learning resources and opportunities. In addition, they can engage in interactions with others to learn and create interactive content during the teaching and learning process. This requires a commitment from the student because a connection between the student and the machine will be established through the use of emerging technologies. These technologies offer unique opportunities to enhance teaching quality, broaden access to education, and prepare individuals for an increasingly digital and evolving world. The analysis identified 14 emerging technologies: artificial intelligence, cloud computing, big data, Internet of Things, blockchain, augmented reality, extended reality, virtual reality, 5G, EON-XR, digital twins, 3D virtual reality, and immersive virtual reality. These technologies offer immersion (simulation of a real world in a virtual world), interactivity (interaction with different people), improvement of the educational environment (innovative presentation of content), and motivation for learning (capturing attention). When it comes to the different types of learning, there are six categories: experiential (based on experience), collaborative (involving a guide to lead the process), cooperative (involving teamwork), significant (building on existing knowledge), explicit (self-directed learning), and emotional (involving the regulation of emotions).","PeriodicalId":170699,"journal":{"name":"Int. J. Eng. Pedagog.","volume":"260 ","pages":"61-81"},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140485074","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}
The aim of this research was to evaluate the performance of ChatGPT in answering multiple-choice questions without images in the entrance exams to the National University of Engineering (UNI) and the Universidad Nacional Mayor de San Marcos (UNMSM) over the past five years. In this prospective exploratory study, a total of 1182 questions were gathered from the UNMSM exams and 559 questions from the UNI exams, encompassing a wide range of topics including academic aptitude, reading comprehension, humanities, and scientific knowledge. The results indicate a significant (p < 0.001) and higher proportion of correct answers for UNMSM, with 72% (853/1182) of questions answered correctly. In contrast, there is no significant difference (p = 0.168) in the proportion of correct and incorrect answers for UNI, with 52% (317/552) of questions answered correctly. Similarly, in the World History course (p = 0.037), ChatGPT achieved its highest performance at a general level, with an accuracy of 91%. However, this was not the case in the language course (p = 0.172), where it achieved the lowest score of 55%. In conclusion, to fully harness the potential of ChatGPT in the educational setting, continuous evaluation of its performance, ongoing feedback to enhance its accuracy and minimize biases, and tailored adaptations for its use in educational settings are essential.
{"title":"We Can Rely on ChatGPT as an Educational Tutor: A Cross-Sectional Study of its Performance, Accuracy, and Limitations in University Admission Tests","authors":"Saul Beltozar-Clemente, Enrique Díaz-Vega, Joselyn Zapata-Paulini, Raul Enrique Tejeda-Navarrete","doi":"10.3991/ijep.v14i1.46787","DOIUrl":"https://doi.org/10.3991/ijep.v14i1.46787","url":null,"abstract":"The aim of this research was to evaluate the performance of ChatGPT in answering multiple-choice questions without images in the entrance exams to the National University of Engineering (UNI) and the Universidad Nacional Mayor de San Marcos (UNMSM) over the past five years. In this prospective exploratory study, a total of 1182 questions were gathered from the UNMSM exams and 559 questions from the UNI exams, encompassing a wide range of topics including academic aptitude, reading comprehension, humanities, and scientific knowledge. The results indicate a significant (p < 0.001) and higher proportion of correct answers for UNMSM, with 72% (853/1182) of questions answered correctly. In contrast, there is no significant difference (p = 0.168) in the proportion of correct and incorrect answers for UNI, with 52% (317/552) of questions answered correctly. Similarly, in the World History course (p = 0.037), ChatGPT achieved its highest performance at a general level, with an accuracy of 91%. However, this was not the case in the language course (p = 0.172), where it achieved the lowest score of 55%. In conclusion, to fully harness the potential of ChatGPT in the educational setting, continuous evaluation of its performance, ongoing feedback to enhance its accuracy and minimize biases, and tailored adaptations for its use in educational settings are essential.","PeriodicalId":170699,"journal":{"name":"Int. J. Eng. Pedagog.","volume":"60 4","pages":"50-60"},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140483492","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}
Learning the anatomy of the human skeletal system presents several challenges in understanding the complexity of the human body. One of the most common issues is the absence of effective and accessible learning methods that enable students to gain comprehensive knowledge. Therefore, the use of technologies such as augmented reality (AR) aims to address this issue and facilitate its resolution by enabling students to engage with three-dimensional anatomical models, fostering hands-on, visualization-based learning. The aim of this study is to enhance the learning of human skeletal anatomy through the use of AR technology. The study employed a quantitative approach and a pre-experimental design, in which the experiment was conducted according to the research plan and involved 60 students. Mobile-D was used to develop the mobile application. The findings revealed that 93.3% of participants agreed that the use of augmented reality is a valuable for learning human anatomy, as it enables interactive visualization of various parts of the human body. The study also indicated that 28.3% of the students scored “Outstanding,” while 68.3% scored “Predicted.” In addition, 65% of students expressed interest in using augmented reality technology to learn anatomy.
{"title":"Mobile Application with Augmented Reality as a Support Tool for Learning Human Anatomy","authors":"Orlando Iparraguirre-Villanueva, Jhenifer Andia-Alcarraz, Fathzy Saba-Estela, Andrés Epifanía-Huerta","doi":"10.3991/ijep.v14i1.46845","DOIUrl":"https://doi.org/10.3991/ijep.v14i1.46845","url":null,"abstract":"Learning the anatomy of the human skeletal system presents several challenges in understanding the complexity of the human body. One of the most common issues is the absence of effective and accessible learning methods that enable students to gain comprehensive knowledge. Therefore, the use of technologies such as augmented reality (AR) aims to address this issue and facilitate its resolution by enabling students to engage with three-dimensional anatomical models, fostering hands-on, visualization-based learning. The aim of this study is to enhance the learning of human skeletal anatomy through the use of AR technology. The study employed a quantitative approach and a pre-experimental design, in which the experiment was conducted according to the research plan and involved 60 students. Mobile-D was used to develop the mobile application. The findings revealed that 93.3% of participants agreed that the use of augmented reality is a valuable for learning human anatomy, as it enables interactive visualization of various parts of the human body. The study also indicated that 28.3% of the students scored “Outstanding,” while 68.3% scored “Predicted.” In addition, 65% of students expressed interest in using augmented reality technology to learn anatomy.","PeriodicalId":170699,"journal":{"name":"Int. J. Eng. Pedagog.","volume":"414 4","pages":"82-95"},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140479989","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 : 2024-01-30DOI: 10.3991/ijep.v14i1.47109
Mohammed Jawad Al-dujaili, H. Alrikabi, M. K. Abdul-Hussein, H. A. Kanber, Ibtihal Razaq Niama ALRubee
The need to constantly and consistently improve the quality and quantity of the educational system is essential. E-learning has emerged from the rapid cycle of change and the expansion of new technologies. Advances in information technology have increased network bandwidth, data access speed, and reduced data storage costs. In recent years, the implementation of cloud computing in educational settings has garnered the interest of major companies, leading to substantial investments in this area. Cloud computing improves engineering education by providing an environment that can be accessed from anywhere and allowing access to educational resources on demand. Cloud computing is a term used to describe the provision of hosting services on the Internet. It is predicted to be the next generation of information technology architecture and offers great potential to enhance productivity and reduce costs. Cloud service providers offer their processing and memory resources to users. By paying for the use of these resources, users can access them for their calculations and processing anytime and anywhere. Cloud computing provides the ability to increase productivity, save information technology resources, and enhance computing power, converting processing power into a tool with constant access capabilities. The use of cloud computing in a system that supports remote education has its own set of characteristics and requires a unique strategy. Students can access a wide variety of instructional engineering materials at any time and from any location, thanks to cloud computing. Additionally, they can share their materials with other community members. The use of cloud computing in e-learning offers several advantages, such as unlimited computing resources, high scalability, and reduced costs associated with e-learning. An improvement in the quality of teaching and learning is achieved through the use of flexible cloud computing, which offers a variety of resources for educators and students. In light of this, the current research presents cloud computing technology as a suitable and superior option for e-learning systems.
{"title":"E-learning in the Cloud Computing Environment: Features, Architecture, Challenges and Solutions","authors":"Mohammed Jawad Al-dujaili, H. Alrikabi, M. K. Abdul-Hussein, H. A. Kanber, Ibtihal Razaq Niama ALRubee","doi":"10.3991/ijep.v14i1.47109","DOIUrl":"https://doi.org/10.3991/ijep.v14i1.47109","url":null,"abstract":"The need to constantly and consistently improve the quality and quantity of the educational system is essential. E-learning has emerged from the rapid cycle of change and the expansion of new technologies. Advances in information technology have increased network bandwidth, data access speed, and reduced data storage costs. In recent years, the implementation of cloud computing in educational settings has garnered the interest of major companies, leading to substantial investments in this area. Cloud computing improves engineering education by providing an environment that can be accessed from anywhere and allowing access to educational resources on demand. Cloud computing is a term used to describe the provision of hosting services on the Internet. It is predicted to be the next generation of information technology architecture and offers great potential to enhance productivity and reduce costs. Cloud service providers offer their processing and memory resources to users. By paying for the use of these resources, users can access them for their calculations and processing anytime and anywhere. Cloud computing provides the ability to increase productivity, save information technology resources, and enhance computing power, converting processing power into a tool with constant access capabilities. The use of cloud computing in a system that supports remote education has its own set of characteristics and requires a unique strategy. Students can access a wide variety of instructional engineering materials at any time and from any location, thanks to cloud computing. Additionally, they can share their materials with other community members. The use of cloud computing in e-learning offers several advantages, such as unlimited computing resources, high scalability, and reduced costs associated with e-learning. An improvement in the quality of teaching and learning is achieved through the use of flexible cloud computing, which offers a variety of resources for educators and students. In light of this, the current research presents cloud computing technology as a suitable and superior option for e-learning systems.","PeriodicalId":170699,"journal":{"name":"Int. J. Eng. Pedagog.","volume":"100 ","pages":"112-128"},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140483665","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 : 2024-01-30DOI: 10.3991/ijep.v14i1.41633
A. Kramer, R. Kajfez, E. Dringenberg
Common discourse conveys that to be an engineer, one must be “smart.” Our individual and collective beliefs about what constitutes smart behavior are shaped by our participation in the complex cultural practice of smartness. From the literature, we know that the criteria for being considered “smart” in our educational systems are biased. The emphasis on selecting and retaining only those who are deemed “smart enough” to be engineers perpetuates inequity in undergraduate engineering education. Less is known about what undergraduate students explicitly believe are the different ways of being smart in engineering or how those different ways of being a smart engineer are valued in introductory engineering classrooms. In this study, we explored the common beliefs of undergraduate engineering students regarding what it means to be smart in engineering. We also explored how the students personally valued those ways of being smart versus what they perceived as being valued in introductory engineering classrooms. Through our multi-phase, multi-method approach, we initially qualitatively characterized their beliefs into 11 different ways to be smart in engineering, based on a sample of 36 engineering students enrolled in first-year engineering courses. We then employed quantitative methods to uncover significant differences, with a 95% confidence interval, in six of the 11 ways of being smart between the values personally held by engineering students and what they perceived to be valued in their classrooms. Additionally, we qualitatively found that 1) students described grades as central to their classroom experience, 2) students described the classroom as a context where effortless achievement is associated with being smart, and 3) students described a lack of reward in the classroom for showing initiative and for considerations of social impact or helping others. As engineering educators strive to be more inclusive, it is essential to have a clear understanding and reflect on how students value different ways of being smart in engineering as well as consider how these values are embedded into teaching praxis.
{"title":"Ways of Being Smart in Engineering: Beliefs, Values, and Introductory Engineering Experiences","authors":"A. Kramer, R. Kajfez, E. Dringenberg","doi":"10.3991/ijep.v14i1.41633","DOIUrl":"https://doi.org/10.3991/ijep.v14i1.41633","url":null,"abstract":"Common discourse conveys that to be an engineer, one must be “smart.” Our individual and collective beliefs about what constitutes smart behavior are shaped by our participation in the complex cultural practice of smartness. From the literature, we know that the criteria for being considered “smart” in our educational systems are biased. The emphasis on selecting and retaining only those who are deemed “smart enough” to be engineers perpetuates inequity in undergraduate engineering education. Less is known about what undergraduate students explicitly believe are the different ways of being smart in engineering or how those different ways of being a smart engineer are valued in introductory engineering classrooms. In this study, we explored the common beliefs of undergraduate engineering students regarding what it means to be smart in engineering. We also explored how the students personally valued those ways of being smart versus what they perceived as being valued in introductory engineering classrooms. Through our multi-phase, multi-method approach, we initially qualitatively characterized their beliefs into 11 different ways to be smart in engineering, based on a sample of 36 engineering students enrolled in first-year engineering courses. We then employed quantitative methods to uncover significant differences, with a 95% confidence interval, in six of the 11 ways of being smart between the values personally held by engineering students and what they perceived to be valued in their classrooms. Additionally, we qualitatively found that 1) students described grades as central to their classroom experience, 2) students described the classroom as a context where effortless achievement is associated with being smart, and 3) students described a lack of reward in the classroom for showing initiative and for considerations of social impact or helping others. As engineering educators strive to be more inclusive, it is essential to have a clear understanding and reflect on how students value different ways of being smart in engineering as well as consider how these values are embedded into teaching praxis.","PeriodicalId":170699,"journal":{"name":"Int. J. Eng. Pedagog.","volume":"29 13","pages":"129-148"},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140482504","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 : 2024-01-30DOI: 10.3991/ijep.v14i1.43101
Thi Cam Thuy Ngo
The social constructivist approach to teaching and learning has garnered significant interest among educators and researchers. However, further investigation into its implementation and effectiveness in the classroom is still needed. This study aims to investigate engineering students’ perceptions of social constructivist practices in their technology classes, using the constructivist learning environment survey (CLES) as its framework. A mixed-methods approach combining quantitative and qualitative methods was used, which included online surveys and semi-structured interviews. Analysis of data from 300 responses showed that constructivism was partially implemented in the classroom. Specifically, student negotiation emerged as the most frequently perceived dimension, while shared control was perceived as seldom occurring. Most items on the personal relevance scale were frequently perceived, highlighting the importance of integrating technology learning into students’ daily lives. Similarly, the uncertainty of technology was found to be a common experience for students. In contrast, the dimension of critical voice received mixed results, emphasizing the necessity of a learning environment that fosters student expression and meaningful discussions. These findings suggest the necessity for additional investigation and integration of social constructivist practices that emphasize the enhancement of student engagement, promotion of critical thinking, and redistribution of power within the classroom setting.
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Pub Date : 2023-04-27DOI: 10.3991/ijep.v13i3.33973
Elhassan Aamro, N. Chafiq, M. Radid, M. Talbi
In the education system, the different parental resources of university students are linked to social inequality by distinct mechanisms, they are reproduced and legitimized. The socio-economic status (SES) of students assumed to be indexed, by the level of education, parental occupation, or family income, is a predictor of educational outcomes. The implementation of interventions that reduce the gap in the achievement of Socio-Economic Status (SES), can face significant ideological obstacles. In a purely sociological approach, our comparative study analyzes through a questionnaire survey, the socio-economic and cultural environment of the students of two Moroccan universities, the Faculty of Sciences Ben M'Sick (FSBM) of Casablanca, a public institution, and a private institution located in the same city but geographically in an upscale neighborhood. The results obtained attest that the social and cultural heritage of parents transmitted to students has effects on social reproduction, as well as the strong significant involvement of social origin in the learning process.
{"title":"The Effect of Parental Social Status in Academia: Comparative Case of the Public/Private University in Morocco","authors":"Elhassan Aamro, N. Chafiq, M. Radid, M. Talbi","doi":"10.3991/ijep.v13i3.33973","DOIUrl":"https://doi.org/10.3991/ijep.v13i3.33973","url":null,"abstract":"In the education system, the different parental resources of university students are linked to social inequality by distinct mechanisms, they are reproduced and legitimized. The socio-economic status (SES) of students assumed to be indexed, by the level of education, parental occupation, or family income, is a predictor of educational outcomes. The implementation of interventions that reduce the gap in the achievement of Socio-Economic Status (SES), can face significant ideological obstacles. In a purely sociological approach, our comparative study analyzes through a questionnaire survey, the socio-economic and cultural environment of the students of two Moroccan universities, the Faculty of Sciences Ben M'Sick (FSBM) of Casablanca, a public institution, and a private institution located in the same city but geographically in an upscale neighborhood. The results obtained attest that the social and cultural heritage of parents transmitted to students has effects on social reproduction, as well as the strong significant involvement of social origin in the learning process.","PeriodicalId":170699,"journal":{"name":"Int. J. Eng. Pedagog.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123774543","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}
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