Pub Date : 2023-04-12DOI: 10.37074/jalt.2023.6.1.ss3
{"title":"Education for sustainable development (ESD) in the Greek education system","authors":"","doi":"10.37074/jalt.2023.6.1.ss3","DOIUrl":"https://doi.org/10.37074/jalt.2023.6.1.ss3","url":null,"abstract":"","PeriodicalId":6298,"journal":{"name":"1","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84750408","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 Paper aims to look for aspects that influence a consumer's decision to acquire an electric vehicle. India has the greatest EV market in the world, particularly for two-wheelers. The penetration of electric vehicles has greatly increased over the past years as a result of numerous automakers releasing these vehicles at a quick rate. By 2025, the market for electric vehicles (EVs) is expected to be worth at least 475 billion, according to a recent study. By 2025, the percentage of electrified two-wheelers is predicted to increase to up to 15% from the current 1% penetration rate. Environmental pollution is currently a major problem worldwide. Toxic emissions from internal combustion engines are a major source of air pollution. The globe is actively promoting electric cars (EVs) to address environmental issues and counteract the consequences of fossil fuel pollution (ECs). The Indian government desires "only Electric Vehicles" to be on the roads by 2030.
{"title":"An Empirical study on- Perspective and attitude of people on Electric Vehicle in India","authors":"Anisha Jain, Jinal Jain, D.R Pallavi, None Varalakshmi","doi":"10.46632/jdaai/2/1/10","DOIUrl":"https://doi.org/10.46632/jdaai/2/1/10","url":null,"abstract":"The Paper aims to look for aspects that influence a consumer's decision to acquire an electric vehicle. India has the greatest EV market in the world, particularly for two-wheelers. The penetration of electric vehicles has greatly increased over the past years as a result of numerous automakers releasing these vehicles at a quick rate. By 2025, the market for electric vehicles (EVs) is expected to be worth at least 475 billion, according to a recent study. By 2025, the percentage of electrified two-wheelers is predicted to increase to up to 15% from the current 1% penetration rate. Environmental pollution is currently a major problem worldwide. Toxic emissions from internal combustion engines are a major source of air pollution. The globe is actively promoting electric cars (EVs) to address environmental issues and counteract the consequences of fossil fuel pollution (ECs). The Indian government desires \"only Electric Vehicles\" to be on the roads by 2030.","PeriodicalId":6298,"journal":{"name":"1","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135518919","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}
Circular Economy and Industry 4.0 Technologies Introduction: Markets that promote product reuse rather than product elimination and subsequent extraction of new resources are examples of a circular economy. All waste categories, including clothing, scrap metal, and outdated technology, are recycled or put to better use in such economies. This approach can offer a solution not only to safeguard the environment but also to use natural resources more wisely and produce new industries, jobs, and skill sets. A paradigm of production and consumption known as the "circular economy" incorporates sharing, leasing, reuse, repair, refurbishment, and recycling to lengthen the package's life cycle. The primary goal of a circular economic model is to design out waste. This model is predicated on the idea that there is no such thing as waste. To accomplish this, last-generation products are made with high-quality materials and are amenable to the extraction and reuse cycle, making it easier for users to handle, modify, or update them. The circular economic model is ultimately distinguished by these short product cycles, with the exception of disposal and recycling, which waste a significant amount of embodied energy and labor. The ultimate objective is to manage finite stocks and balance renewable resource flows to protect and enhance natural capital. Research significance: The circular economic model distinguishes between the cycles of technology and biology. Consumption only occurs during biological cycles when biologically-based goods are intended to replenish the system through procedures like food, compost, or anaerobic digestion of cork, linen, or other materials. These cycles recreate environments that give the economy renewable resources, such as soil or the ocean. Technical cycles, on the other hand, restore and reuse products through tactics like recycling, reusing, repairing, or producing something new. Ultimately, one of the goals of the circular economy is to increase resource yields by focusing on the components, goods, and services that are circulated and used most frequently across the technological and biological cycles. The concept of the circular economy gained popularity in China in the 1990s in response to economic expansion and the depletion of natural resources. The central idea of the circular economy concept is to strike a balance between resource and environmental use, capitalizing on material flow and recycling, and economic growth Methodology: ideal solution (TOPSIS) is prioritized through unity is a technique that provides, this is a multicriteria decision analytical method. TOPSIS stands for (PIS). Short geometric distance alternative to select is the positive ideal solution, basically distance to have ideal solution of thought (nis) negative too long from is geometry. Of TOPSIS the assumption is even greater is, is coming or going the criteria are the same are increasing. Many parameters in scaling problems or criteria often impro
{"title":"Circular Economy Industry 4.0 Technologies Using TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution Method","authors":"A. Kulkarni, Ravindra Kumar Pathak","doi":"10.46632/jemm/9/1/2","DOIUrl":"https://doi.org/10.46632/jemm/9/1/2","url":null,"abstract":"Circular Economy and Industry 4.0 Technologies Introduction: Markets that promote product reuse rather than product elimination and subsequent extraction of new resources are examples of a circular economy. All waste categories, including clothing, scrap metal, and outdated technology, are recycled or put to better use in such economies. This approach can offer a solution not only to safeguard the environment but also to use natural resources more wisely and produce new industries, jobs, and skill sets. A paradigm of production and consumption known as the \"circular economy\" incorporates sharing, leasing, reuse, repair, refurbishment, and recycling to lengthen the package's life cycle. The primary goal of a circular economic model is to design out waste. This model is predicated on the idea that there is no such thing as waste. To accomplish this, last-generation products are made with high-quality materials and are amenable to the extraction and reuse cycle, making it easier for users to handle, modify, or update them. The circular economic model is ultimately distinguished by these short product cycles, with the exception of disposal and recycling, which waste a significant amount of embodied energy and labor. The ultimate objective is to manage finite stocks and balance renewable resource flows to protect and enhance natural capital. Research significance: The circular economic model distinguishes between the cycles of technology and biology. Consumption only occurs during biological cycles when biologically-based goods are intended to replenish the system through procedures like food, compost, or anaerobic digestion of cork, linen, or other materials. These cycles recreate environments that give the economy renewable resources, such as soil or the ocean. Technical cycles, on the other hand, restore and reuse products through tactics like recycling, reusing, repairing, or producing something new. Ultimately, one of the goals of the circular economy is to increase resource yields by focusing on the components, goods, and services that are circulated and used most frequently across the technological and biological cycles. The concept of the circular economy gained popularity in China in the 1990s in response to economic expansion and the depletion of natural resources. The central idea of the circular economy concept is to strike a balance between resource and environmental use, capitalizing on material flow and recycling, and economic growth Methodology: ideal solution (TOPSIS) is prioritized through unity is a technique that provides, this is a multicriteria decision analytical method. TOPSIS stands for (PIS). Short geometric distance alternative to select is the positive ideal solution, basically distance to have ideal solution of thought (nis) negative too long from is geometry. Of TOPSIS the assumption is even greater is, is coming or going the criteria are the same are increasing. Many parameters in scaling problems or criteria often impro","PeriodicalId":6298,"journal":{"name":"1","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83533915","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}
Governments from many countries are encouraging people to switch to electric cars by offering financial incentives. According to earlier studies, challenges to consumer acceptability include the high cost of an electric car, the lack of charging infrastructure, and time and range concerns. Participants in the study are Indians who now own cars. To assess the data, structured equation modeling was employed. (SEM). A potent mediator in the adoption of electric vehicles has been identified as attitude (ATT). A few policy recommendations are offered for a more successful, long-term policy framework for India's future adoption of electric vehicles. For underdeveloped nations like India, research on crucial hurdles and insufficient charging infrastructure is addressed.
{"title":"Consumer Perception on the adoption of Electric Vehicle from an Indian Context- An Empirical Study","authors":"Mansi Munoth, Kalpana Jain, D. Pallavi","doi":"10.46632/jeae/2/1/2","DOIUrl":"https://doi.org/10.46632/jeae/2/1/2","url":null,"abstract":"Governments from many countries are encouraging people to switch to electric cars by offering financial incentives. According to earlier studies, challenges to consumer acceptability include the high cost of an electric car, the lack of charging infrastructure, and time and range concerns. Participants in the study are Indians who now own cars. To assess the data, structured equation modeling was employed. (SEM). A potent mediator in the adoption of electric vehicles has been identified as attitude (ATT). A few policy recommendations are offered for a more successful, long-term policy framework for India's future adoption of electric vehicles. For underdeveloped nations like India, research on crucial hurdles and insufficient charging infrastructure is addressed.","PeriodicalId":6298,"journal":{"name":"1","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91200362","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}
N Supritha, S Kashyap Varshini, Hegde Swati Subray, S Vinay
The current global population is expected to reach 9.7 billion by 2050, which will put immense pressure on the food production system to meet the growing demand. However, the traditional farming system alone is not sufficient to meet this demand due to various limitations such as limited land availability, environmental factors, and inefficient use of resources. As a result, there is a real need for adapting new farming systems that can help stimulate plant growth faster and more efficiently. One such technique is Hydroponics, which is a soil-less method of growing plants using mineral nutrient solutions in a water solvent. Hydroponics has been proven to be more efficient than traditional farming systems, as it allows for higher crop yields in less time and with fewer resources. Therefore, creating awareness about this new farming technique and providing farmers with the necessary resources and support to implement it on their farms can help address the food production challenges. In addition to the farming technique, farmers are also facing issues related to intermediaries, who take a cut of their profits, resulting in losses for the farmers. To address this problem, a platform is being created to enable direct interaction between farmers and buyers By implementing this solution, farmers can increase their income, improve their standard of living, and contribute to the development of a sustainable and efficient food production system.
{"title":"Hydroponics – A smart farming and Implementation of Ecommerce website for farmers based on full stack","authors":"N Supritha, S Kashyap Varshini, Hegde Swati Subray, S Vinay","doi":"10.46632/ese/2/1/11","DOIUrl":"https://doi.org/10.46632/ese/2/1/11","url":null,"abstract":"The current global population is expected to reach 9.7 billion by 2050, which will put immense pressure on the food production system to meet the growing demand. However, the traditional farming system alone is not sufficient to meet this demand due to various limitations such as limited land availability, environmental factors, and inefficient use of resources. As a result, there is a real need for adapting new farming systems that can help stimulate plant growth faster and more efficiently. One such technique is Hydroponics, which is a soil-less method of growing plants using mineral nutrient solutions in a water solvent. Hydroponics has been proven to be more efficient than traditional farming systems, as it allows for higher crop yields in less time and with fewer resources. Therefore, creating awareness about this new farming technique and providing farmers with the necessary resources and support to implement it on their farms can help address the food production challenges. In addition to the farming technique, farmers are also facing issues related to intermediaries, who take a cut of their profits, resulting in losses for the farmers. To address this problem, a platform is being created to enable direct interaction between farmers and buyers By implementing this solution, farmers can increase their income, improve their standard of living, and contribute to the development of a sustainable and efficient food production system.","PeriodicalId":6298,"journal":{"name":"1","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135518253","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}
K S Chakradhar, Lakshmi Prasanna Rejinthala, chowdary Sree Rama Brunda salla, Bharathi Pola, Bhargava Petlu
Computer usage is increasing rapidly day by day but the input devices are limited and to access them, we need to be near the screen. To overcome this problem and control the screen, we can use hand gestures. For every operation, we used different hand gestures. We proposed a python program to control the media player through hand gestures. In this method, we used libraries like OpenCV, Media Pipe, PyAuto GUI, and other libraries to capture the video, provide ready-to-use ML solutions and automate your GUI and programmatically control your keyboard and mouse. Hand gestures will be used as the input for providing natural interaction by reducing external hardware interaction. The whole process is divided into two steps. Firstly, gesture recognition through the camera is done by OpenCV and media Pipe helps to identify the gesture b its position, and the respective command is executed. Secondly, PyAuto GUI is used to automate the keyboard and controls the media player.
计算机的使用日益迅速，但输入设备是有限的，我们需要靠近屏幕才能访问它们。为了克服这个问题并控制屏幕，我们可以使用手势。对于每个操作，我们使用不同的手势。我们提出了一个python程序来通过手势控制媒体播放器。在这种方法中，我们使用像OpenCV, Media Pipe, PyAuto GUI和其他库来捕获视频，提供现成的ML解决方案，自动化GUI并以编程方式控制键盘和鼠标。手势将被用作输入，通过减少外部硬件交互来提供自然交互。整个过程分为两个步骤。首先，通过摄像头进行手势识别是由OpenCV和media Pipe帮助识别手势的位置，并执行相应的命令。其次，使用PyAuto GUI实现键盘的自动化和媒体播放器的控制。
{"title":"Controlling Media Player Using Hand Gestures","authors":"K S Chakradhar, Lakshmi Prasanna Rejinthala, chowdary Sree Rama Brunda salla, Bharathi Pola, Bhargava Petlu","doi":"10.46632/ese/2/1/7","DOIUrl":"https://doi.org/10.46632/ese/2/1/7","url":null,"abstract":"Computer usage is increasing rapidly day by day but the input devices are limited and to access them, we need to be near the screen. To overcome this problem and control the screen, we can use hand gestures. For every operation, we used different hand gestures. We proposed a python program to control the media player through hand gestures. In this method, we used libraries like OpenCV, Media Pipe, PyAuto GUI, and other libraries to capture the video, provide ready-to-use ML solutions and automate your GUI and programmatically control your keyboard and mouse. Hand gestures will be used as the input for providing natural interaction by reducing external hardware interaction. The whole process is divided into two steps. Firstly, gesture recognition through the camera is done by OpenCV and media Pipe helps to identify the gesture b its position, and the respective command is executed. Secondly, PyAuto GUI is used to automate the keyboard and controls the media player.","PeriodicalId":6298,"journal":{"name":"1","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135518254","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 process of creating an image's emulsion is selecting the crucial details from numerous images and combining them into smaller images, often one bone. In the areas of satellite imaging, remote seeing, target shadowing, medical imaging, and many other areas, image emulsion is quite useful. This design tries to illustrate how Empirical Wavelet transfigures work when used with the Simple Average Emulsion Rule to emulsify multi-focus images. The suggested approach has been tested using common datasets for merging images with various focal points. Empirical Wavelet Transform is primarily a method that uses an adaptive approach to produce a Multi-Resolution Analysis of the signal. The effectiveness of the suggested approach is calculated in a variety of ways. Visual perception and the evaluation of common quality metrics, such as Root Mean Squared Error, Entropy, and Peak Signal to Noise ratio, are used to compare the performance of the proposed system. The proposed fashion based on the Empirical Wavelet Transform (EWT) outperforms the existing methods, according to the study of the experimental results. According to the suggested criteria, the fused image's entropy should be higher than the component images' because the emulsion's efficiency decreases as entropy increases. This technique takes MRI and CT scans into account.
{"title":"Empirical Wavelet Transform Method for Enhancement of Medical Image Fusion","authors":"Reddy Nelaturi Nagendra, Jayalakshmi Bitra, Rao Goli Srinivasa","doi":"10.46632/eae/2/1/10","DOIUrl":"https://doi.org/10.46632/eae/2/1/10","url":null,"abstract":"The process of creating an image's emulsion is selecting the crucial details from numerous images and combining them into smaller images, often one bone. In the areas of satellite imaging, remote seeing, target shadowing, medical imaging, and many other areas, image emulsion is quite useful. This design tries to illustrate how Empirical Wavelet transfigures work when used with the Simple Average Emulsion Rule to emulsify multi-focus images. The suggested approach has been tested using common datasets for merging images with various focal points. Empirical Wavelet Transform is primarily a method that uses an adaptive approach to produce a Multi-Resolution Analysis of the signal. The effectiveness of the suggested approach is calculated in a variety of ways. Visual perception and the evaluation of common quality metrics, such as Root Mean Squared Error, Entropy, and Peak Signal to Noise ratio, are used to compare the performance of the proposed system. The proposed fashion based on the Empirical Wavelet Transform (EWT) outperforms the existing methods, according to the study of the experimental results. According to the suggested criteria, the fused image's entropy should be higher than the component images' because the emulsion's efficiency decreases as entropy increases. This technique takes MRI and CT scans into account.","PeriodicalId":6298,"journal":{"name":"1","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135574067","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}
Effective fault detection and isolation technologies are very necessary for uninterrupted power supply and for making a flexible protection scheme. Almost all protection schemes in the power system are based on data exchange among protection units through a strong communication structure. Thus, it is important to deal with a large amount of data. Artificial Intelligence (AI) is one of the key factors in this regard. AI has several sections and Artificial Neural Network (ANN) is one of them. It is suggested to implement the ANN-based models while working with big data. The existing protection models are facing difficulties while trying to deal with big data. Thus ANN-based approaches have come into the front line in advanced power system networks. The performance of the ANN model is depending on the training of the data set. Hence in this work, we are focusing on preparing the data to provide input in the ANN model. The principal component analysis (PCA) method is applied here for reduced the dimension of a large number of data sets. The new data set is used to run the k-means clustering algorithm. It is shown that the clustering is more accurate with the processed data set by PCA. Therefore, the prepared data set is used to run the ANN model that has a smaller size with higher information and minimum computational time. This study shows the data preparation part to train the ANN model.
{"title":"Data Processing Method for Artificial Neural Network ANN Based Microgrid Protection Model","authors":"Baidya Sanghita, Nandi Champa","doi":"10.46632/eae/2/1/8","DOIUrl":"https://doi.org/10.46632/eae/2/1/8","url":null,"abstract":"Effective fault detection and isolation technologies are very necessary for uninterrupted power supply and for making a flexible protection scheme. Almost all protection schemes in the power system are based on data exchange among protection units through a strong communication structure. Thus, it is important to deal with a large amount of data. Artificial Intelligence (AI) is one of the key factors in this regard. AI has several sections and Artificial Neural Network (ANN) is one of them. It is suggested to implement the ANN-based models while working with big data. The existing protection models are facing difficulties while trying to deal with big data. Thus ANN-based approaches have come into the front line in advanced power system networks. The performance of the ANN model is depending on the training of the data set. Hence in this work, we are focusing on preparing the data to provide input in the ANN model. The principal component analysis (PCA) method is applied here for reduced the dimension of a large number of data sets. The new data set is used to run the k-means clustering algorithm. It is shown that the clustering is more accurate with the processed data set by PCA. Therefore, the prepared data set is used to run the ANN model that has a smaller size with higher information and minimum computational time. This study shows the data preparation part to train the ANN model.","PeriodicalId":6298,"journal":{"name":"1","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135574064","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 : 2023-03-31DOI: 10.37074/jalt.2023.6.1.19
{"title":"Exploring the impact of disruption on university staff resilience using the dynamic interactive model of resilience","authors":"","doi":"10.37074/jalt.2023.6.1.19","DOIUrl":"https://doi.org/10.37074/jalt.2023.6.1.19","url":null,"abstract":"","PeriodicalId":6298,"journal":{"name":"1","volume":"120 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79434917","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 : 2023-03-21DOI: 10.37074/jalt.2023.6.1.17
Article Info, Miriam Sullivan, Andrew Kelly, Paul McLaughlan
The release of ChatGPT has sparked significant academic integrity concerns in higher education. However, some commentators have pointed out that generative artificial intelligence (AI) tools such as ChatGPT can enhance student learning, and consequently, academics should adapt their teaching and assessment practices to embrace the new reality of living, working, and studying in a world where AI is freely available. Despite this important debate, there has been very little academic literature published on ChatGPT and other generative AI tools. This article uses content analysis to examine news articles (N=100) about how ChatGPT is disrupting higher education, concentrating specifically on Australia, New Zealand, the United States
{"title":"ChatGPT in higher education: Considerations for academic integrity and student learning","authors":"Article Info, Miriam Sullivan, Andrew Kelly, Paul McLaughlan","doi":"10.37074/jalt.2023.6.1.17","DOIUrl":"https://doi.org/10.37074/jalt.2023.6.1.17","url":null,"abstract":"The release of ChatGPT has sparked significant academic integrity concerns in higher education. However, some commentators have pointed out that generative artificial intelligence (AI) tools such as ChatGPT can enhance student learning, and consequently, academics should adapt their teaching and assessment practices to embrace the new reality of living, working, and studying in a world where AI is freely available. Despite this important debate, there has been very little academic literature published on ChatGPT and other generative AI tools. This article uses content analysis to examine news articles (N=100) about how ChatGPT is disrupting higher education, concentrating specifically on Australia, New Zealand, the United States","PeriodicalId":6298,"journal":{"name":"1","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84469457","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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