检索结果-内蒙古大学图书馆

Effects of design thinking on artificial intelligence learning and creativity

Educational Studies 2024年第5期50卷 763页

作者： Yu-Shan Chang Meng-Chen Tsai Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan

ABSTRACTThis study explored the effects of design thinking on the conceptual cognition of artificial intelligence (AI) learning, attitudes toward AI, idea creativity, and the product creativity of AI applications. The concept map indicated that design thinking had a significant effect on the conceptual cognition of AI learning, particularly the relational conjunctions and classes of AI concepts. However, effects of cross-linking and examples were nonsignificant. In addition, it had a significant and positive effect on learning attitudes toward AI, in particular AI input and AI processing. Moreover, design thinking significantly and positively affected the idea creativity of AI applications, particularly the effects of novelty and value. It also had a significant and positive effect on the product creativity of AI applications, particularly functionality and elaboration. However, material novelty, style, idea structure, and product creativity had no significant difference.

关键词： Design thinking artificial intelligence learning creativity

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence image recognition using self-regulation learning strategies: effects on vocabulary acquisition, learning anxiety, and learning behaviours of English language learners

引用

Interactive Learning Environments 2024年第6期32卷 3060页

作者： Ting-Chia Hsu Ching Chang Tien-Hsiu Jen Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan

ABSTRACTYoung learners’ vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory experiences of the target vocabulary, this study investigated how AI image recognition technologies along with SRL affect students’ vocabulary acquisition, self-regulation, and learning anxiety in the language classroom, and further analysed students’ learning behaviours during learning. A total of 47 Grade 3 students participated. Students in the experimental group (EG) assigned to AI-supported image recognition (AI-IR) with SRL, learnt with vocabulary from realia using AI-IR with SRL. Students in the control group (CG) assigned to AI-supported optical character recognition (AI-OCR) technology with SRL, learnt with vocabulary from printed texts using AI-OCR with SRL. Results indicated that the EG students significantly outperformed the CG students in terms of vocabulary acquisition, although no significant differences were found in the two groups’ self-regulation or learning anxieties. Behavioural analysis revealed that the EG students had greater development of their self-regulation and lower learning anxiety. Lastly, suggestions and limitations are provided for further research.

关键词： Image recognition technologies self-regulation learning anxieties learning behaviours

来源：评论

学校读者我要写书评

暂无评论

Impacts of interactions between peer assessment and learning styles on students’ mobile learning achievements and motivations in vocational design certification courses

引用

Interactive Learning Environments 2023年第3期31卷 1351-1363页

作者： Ting-Chia Hsu Wen-Li Chen Gwo-Jen Hwang a Department of Technology Application and Human Resource Development National Taiwan Normal University Taiwan b Learning Sciences and Assessment Academic Group National Institute of Education Nanyang Technological University Singapore c Graduate Institute of Digital Learning and Education National Taiwan University of Science and Technology Taiwand Department of Medical Humanities and Education School of Medicine Kaohsiung Medical University Kaohsiung Taiwan

ABSTRACTABSTRACTIn this study, a peer assessment-based mobile learning approach was implemented and evaluated in a vocational design certification course. A quasi-experiment was conducted to explore the impact of the proposed approach on the learning achievements and motivations of the students with active and reflective styles. It was found that the students using the peer assessment-based mobile learning approach generally learned better than those using the conventional mobile learning approach. It was also found that there were interactive effects between learning approaches and learning styles on intrinsic motivation. The students with an active learning style outperformed those with a reflective style in intrinsic motivation when conducting the peer assessment-based mobile learning. Active learning style students also had higher extrinsic motivation than those with a reflective learning style when conducting mobile learning.

关键词： Mobile learning peer assessment intrinsic motivation extrinsic motivation learning effectiveness

来源：评论

学校读者我要写书评

暂无评论

Nexus Between Employee Engagement and Job Performance: A Study of MSMEs in Ghana During COVID-19: The Moderating Roles of Job Demand and Job resources

引用

Jindal Journal of Business Research 2023年第1期13卷 30 - 56页

作者： Daniel Nkansah Raymond Gyimah Daniel Agyemfour-Agyemang Sarpong James Kwasi Annan Department of Human Resource and Organisational Development KNUST School of Business Kwame Nkrumah University of Science and Technology Kumasi Ghana Faculty of Business and Management Studies Koforidua Technical University Koforidua Ghana

Micro, small, and medium-sized enterprises (MSMEs) across the globe have been the major victims of the COVID-19 pandemic, which has plunged the business world into a crisis. However, employee engagement (EE) has been labeled as an essential nutrient that organizations need in order to survive in these turbulent times. This study was to investigate the effect of EE on employee performance during the COVID-19 pandemic and how job demands and job resources moderate this relationship. A sample size of 395 respondents were selected from a variety of MSMEs via a convenience sampling method. The study used a survey questionnaire approach as the main method for collecting primary data. The result of the correlation analysis showed that there was a significant relationship between EE and employee performance. It was revealed that job demands and job resources moderated the relationship between EE and employee performance. Finally, the result showed that job demands had an insignificant effect on EE, but job resources had a significant effect on EE. Thus, it can be concluded that, in the face of COVID-19, EE is a significant predictor of EP in the MSME sector.

关键词： Employee engagement job demand MSMEs employee performance job resources Ghana

来源：评论

学校读者我要写书评

暂无评论

Factors driving volunteers’ interest in science careers: self-efficacy, social support and satisfaction

引用

Current Psychology 2024年第1期43卷 223-233页

作者： Chang, Yu-Yu Kao, Chia-Pin Lin, Kuen-Yi Osborne, Michael Institute of International Management Cross College Elite Program National Cheng Kung University National Cheng Kung University No.1 University Road Tainan City 701 Taiwan Department of Child Care and Education Southern Taiwan University of Science and Technology No. 1 Nan-Tai Street Yungkang Dist Tainan City 710 Taiwan Dept. of Technology Application & Human Resource Development National Taiwan Normal University 162 Section 1 Heping E. Rd. 106 Taipei City Taiwan School of Education University of Glasgow 11 Eldon St GB Glasgow G3 6NH United Kingdom

Citizen science initiatives offer an informal way to encourage the general public to engage in science learning, and contributes to the development of a more stable supply of science professionals by arousing volunteers’ enthusiasm for a science career. This study aimed to identify the contribution that science service makes to volunteers’ experience and the influence it has on the relationship between their experience and beliefs, and on their eventual career orientation. This study tested the effect of social cognitive variables on volunteers’ career interests in science using Social Cognitive Career Theory (SCCT). The sample consisted of 241 volunteers taking part in a science volunteer project which is administered by the Ministry of Science and technology in Taiwan. We used structural equation modeling (SEM) and PROCESS Macro 4.1 to test the structural relationships and mediating hypotheses proposed in this study. Building on the SCCT, our findings indicated that self-efficacy in science service, satisfaction with science service, and social support are contributing factors to the science volunteers’ career interest in a scientific profession. This study adds to the SCCT literature by clarifying how a volunteer-based citizen science initiative as an informal science learning platform may affect the participants’ career decisions. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s);author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

关键词： Self-efficacy Social cognitive career theory Social support Volunteerism

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to “revealing the influence of AI and its interfaces on job candidates' honest and deceptive impression management in asynchronous video interviews” [Technol. Forecast. Soc. change, 198 (2024), 123,011]

引用

Technological Forecasting and Social Change 2025年 216卷

作者： Hung-Yue Suen Kuo-En Hung Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei City Taiwan ROC

来源：评论

学校读者我要写书评

暂无评论

Legalities in Metaverse – Ethereum Fraud Detection

Legalities in Metaverse – Ethereum Fraud Detection

引用

International Conference on Science technology Engineering and Management (ICONSTEM)

作者： Manoj Hudnurkar Kartik Singh Suhas Ambekar Geeta Sahu Harshil Yecho Symbiosis Centre for Management & Human Resource Development (SCMHRD) Symbiosis International (Deemed University) Pune India Department of Information Technology and Data Science Vidyalankar School of Information Technology (VSIT) (University of Mumbai) Mumbai India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

The spread of the Metaverse has created new moral and legal challenges, especially when it comes to protecting against fraud. This study explores the legal complexities surrounding Ethereum-specific metaverse transactions and provides guidance on how to identify and address fraudulent activity. The focus of this investigation is the field of fraud detection in the Ethereum environment. Current methods of detecting fraud, such as Blockchain analysis and machine learning-based algorithms, are carefully examined. Next, a new approach to fraud detection is put out, which is predicated on a collection of seven machine learning algorithms: K-Nearest Neighbours (KNN), Decision Tree, Support Vector Machine (SVM), Random Forest, KNN, XGBoost (XGB), and Artificial Neural Network (ANN). The results of this study are carefully outlined, demonstrating the accuracy, recall, F1 score, and precision that each of the previously listed algorithms demonstrated. Moreover, this article lays out possible directions for further research, including the incorporation of group approaches and the investigation of creating characteristics to strengthen fraud detection abilities. This academic paper provides a significant and novel insight into the identification of fraudulent activity in Ethereum transactions, highlighting the potential benefits of using machine learning algorithms for this kind of discernment.

关键词： Support vector machines Machine learning algorithms Accuracy Metaverse Artificial neural networks Fraud Decision trees

来源：评论

学校读者我要写书评

暂无评论

Mobile Charger Planning for Wireless Rechargeable Sensor Network Based on Ant Colony Optimization 11th

Mobile Charger Planning for Wireless Rechargeable Sensor Net...

引用

11th International Conference on Computer Science and its applications, CSA 2019 and 14th KIPS International Conference on Ubiquitous Information Technologies and applications, CUTE 2019

作者： Tseng, Fan-Hsun Cho, Hsin-Hung Lai, Chin-Feng Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei16010 Taiwan Department of Computer Science and Information Engineering National Ilan University Yilan26047 Taiwan Department of Engineering Science National Cheng Kung University Tainan70101 Taiwan

ISBN: (纸本)9789811593420

In order to provide a more flexible wireless rechargeable sensor network, a charger and a self-propelled vehicle are integrated into one vehicle in recent years. The path selection problem of mobile chargers can be formulated as the well-known travelling salesman problem. Therefore, metaheuristic algorithms can be applied to solve the planning problem of mobile chargers. Some researches presented planning methods based on the Simulated Annealing (SA) and Tabu Search (TS) algorithms but the results are not satisfied. In this paper, we not only design a novel encoding approach but also the fitness function for proposing an efficient planning algorithm based on the Ant Colony Optimization (ACO) algorithm. Simulation results show that the proposed ACO-based algorithm achieves a shorter planning path for a longer network lifetime compared with that generated by the SA and TS algorithms. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Predicting Delays for Truck Delivery Logistics: An application of AI and ML

Predicting Delays for Truck Delivery Logistics: An Applicati...

引用

International Conference on Science technology Engineering and Management (ICONSTEM)

作者： Manoj Hudnurkar Kuriakose M. Renji Suhas Ambekar Geeta Sahu Kavitha Mary Joseph Symbiosis Centre for Management & Human Resource Development (SCMHRD) Symbiosis International (Deemed University) Pune India Department of Information Technology and Data Science Vidyalankar School of Information Technology (VSIT) (University of Mumbai) Mumbai India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

Supply chain management has a lot of logistical challenges, which can significantly affect the efficacy and efficiency of logistics operations as a whole. Machine learning techniques are increasingly popular because they can evaluate vast data volumes and produce precise predictions. Logistics management must include the forecast of delays in the supply chain. It entails anticipating delays in logistics operations, which can assist logistics managers in effectively planning and allocating resources. This paper summarizes the logistics delay prediction in truck delivery systems and identifies some opportunities and problems. The article also suggests a framework for predicting logistics delays based on machine learning methods and assesses the framework's effectiveness using actual data. Thus, the research uses machine learning and AI approaches to anticipate logistics delays. The study gathered information on previous logistical operations and determined the major causes of delays. Then, models for predicting logistical delays were used using machine learning techniques, such as Artificial Neural Networks (ANN), decision trees, random forests, and support vector machines. Our findings demonstrate that these methods have an accuracy rate of up to 97.6 % in predicting logistics delays. Also, we discovered that the Adaboost classifier model performed better than the other models in accuracy and precision. Our study offers insightful information on the application of machine learning methods for anticipating logistics delays, which can assist supply chain managers and logistics firms in better organizing and manage their operations to cut down on delays and increase overall effectiveness.

关键词： Costs Accuracy Machine learning algorithms Supply chains Machine learning Predictive models Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Review of Remote Audit in Occupational Safety and Health Management System through the Mixed-Reality Spectrum 7

Review of Remote Audit in Occupational Safety and Health Man...

引用

7th International Conference on Research and Innovation in Information Systems, ICRIIS 2021

作者： Fuad Mohd Isa, Mohd Zairah Ab Rahim, Nor Syazli Bin Fathi, Mohamad Ministry of Human Resource Department of Skills Development Putrajaya Malaysia Universiti Teknologi Malaysia Razak Faculty of Technology and Informatics Kuala Lumpur Malaysia

ISBN: (纸本)9781665408059

The Occupational Safety and Health Management System (OSHMS) is a collection of interconnected or interacting elements that work together to define and implement Occupational Safety and Health (OSH) policies and objectives. Employers must guarantee that this system is effectively implemented to safeguard employees from hazards in order to attain those goals and eliminating work-related injuries, illnesses, diseases, incidents and deaths by using the guideline given by the International Labor Organization (ILO) as well as the department of Safety and Health (DOSH) of Malaysia. Auditing is among the vital process in analyzing the performance of OSHMS. The audit process is part of the evaluation element, as described by ILO where the auditor needs to evaluate the OSH performance. However, due to the Covid-19 pandemic situation, the traditional audit could not be conducted, thus the remote audit is considered to be a viable option to ensure the audit process continues. Therefore, this paper intends to understand how the OSHMS especially in the university context can be remotely audited using Mixed Reality (MR) applications through a review of the literature. The findings indicate appropriate contexts of discussion for the study and also identified MR technology namely the 360-degree panoramic view technology that could be further studiedThe paper's contribution is a better knowledge of the OSHMS remote audit process through the usage of MR applications in a specialized setting. The findings of this study would be beneficial to the stakeholders in the relevant context particularly in the university in their investment decision-making for a future-ready ecosystem by digitising their enterprises. © 2021 IEEE.

关键词： Mixed reality

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：