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21st International Conference on Computers in Education, ICCE 2013

作者： Hsu, Ching-Kun Department of Technology Application and Human Resource Development National Taiwan Normal University Taiwan

ISBN: (纸本)9786028040716

This study evaluated the learning motivations of the foreign language oral interaction course integrating Computer-Mediated Communication and Native-Speaker peer-tutoring strategies based on the assessment results of ARCS motivation design. The study found that no matter the students used the reflection strategy or not after the class, they will have confidence in the oral peer-tutoring activities when the students do concept mapping activities every time before they conducted the oral peer-tutoring activity via CMC platform. However, if the students did not used the concept mapping strategy, the students could use the reflection strategy in the post-activity had higher confidence than the students who did not used the reflection strategy when they reviewed after the class. Conversely, the study found thatno matter the students used concept mapping strategy or not before the class, they will have confidence in the oral peer-tutoring activities when the students do reflection activities every time they end the oral peer-tutoring. However, if the students did not used reflection strategy, the students using concept mapping strategy in pre-study had higher confidence than the students who did not used concept mapping strategy when they prepared before the class.

关键词： Students

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Using AI Cognitive Diagnosis Embedded in a Game-Based Learning Environment

Using AI Cognitive Diagnosis Embedded in a Game-Based Learni...

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2024 IEEE International Conference on Big Data, BigData 2024

作者： Wu, Lin-Jung National Taiwan Normal University Department of Technology Application and Human Resource Development Taipei Taiwan

ISBN: (纸本)9798350362480

The aim of this study was to develop a game-based environment with embedded AI cognitive diagnosis to deliver personalized instruction to learners. The system identified participants' possible misconceptions using a Bayesian network. Corresponding learning games based on their misconceptions were then provided to the learners. This research compared the effects of AI cognitive diagnosis in a game-based learning environment to those in a multimedia learning environment. A quasi-experimental design was used in the experiments, with fifty-six secondary school students as participants. The results showed that the accuracy of the concept diagnosis system was 90.8% (expert judgment). The personalized learning outcomes of students in the game-based learning environment were superior to those engaged in multimedia problem-solving tasks. The results implied that the game-based learning with cognitive diagnosis mechanism plays an important role in enhancing problem-solving skills, learning motivation, misconception correction, and flow experience. © 2024 IEEE.

关键词： Contrastive Learning

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Explainable AI for Trustworthy Clinical Decision Support: A Case-Based Reasoning System for Nursing Assistants

Explainable AI for Trustworthy Clinical Decision Support: A ...

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2024 IEEE International Conference on Big Data, BigData 2024

作者： Liu, Yen-Ku Tsai, Yun-Cheng National Taiwan Normal University Department of Technology Application and Human Resource Development Taipei Taiwan

ISBN: (纸本)9798350362480

The increasing complexity of patient data and the need for reliable, transparent decision-making in healthcare drive the demand for advanced AI systems. This paper introduces a Clinical Decision Support System (CDSS) integrating Explainable AI (XAI) with Retrieval-Augmented Generation (RAG), designed to offer transparent, real-time, and evidence-based recommendations. HIPAA-compliant and grounded in historical case studies, the system facilitates trustworthy decision-making in high-pressure environments for nursing assistants. Although preliminary, simulations indicate the system's potential to reduce cognitive load and enhance decision accuracy, with future clinical trials planned for comprehensive validation. It ensures HIPAA compliance while utilizing real-time patient data and historical case studies to support transparent and reliable clinical decisions. The system provides real-time, mobile-friendly recommendations based on predictive analytics and case-based reasoning, ensuring that nursing assistants can make informed, transparent decisions even in high-pressure scenarios. Future work will validate the system through simulations and clinical trials to assess its impact on decision accuracy and cognitive load reduction. Designed specifically for nursing assistants, the system provides real-time, explainable recommendations and retrieves relevant historical cases and clinical guidelines to support decision-making. While this work is preliminary and has not been deployed in clinical settings, theoretical analysis suggests that the system has the potential to improve decision accuracy and reduce cognitive load. A roadmap for future validation and clinical trials is outlined to demonstrate how the proposed system can be integrated into healthcare workflows. © 2024 IEEE.

关键词： Nursing

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Strategic human resource development through mentoring

Strategic human resource development through mentoring

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2010 International Conference on Management and Service Science, MASS 2010

作者： Yu, Chien Chen, Li-Yu Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9781424453269

The purpose of this study were to discuss diversity mentoring and organization's influence. The case study is a high technology company in Taiwan. There are 11 employees interviewed, and come out the conclusions as: diversity mentoring from organizational development, has faced the multiple hardships but still insisted on keeping conducting, influence on the organization and employees from the mentoring systems. We then further discuss the theoretical and managerial implications of our conclusions. © 2010 IEEE.

关键词： diversity mentoring employee employee welfare high technology company mentoring system organisational aspects organizational development personnel strategic human resource development

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Exploring the development of engineering design in an integrative robotic STEM program 1st

Exploring the development of engineering design in an integr...

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1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016

作者： Chen, Yu-Kai Chang, Chi-Cheng Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9783319528359

The present study intends to propose an interdisciplinary program that is based on integrative STEM approach and further to explore the development of engineering design in the program. The participants are 29 graduate and university students who take an optional course ‘Robotics’ in an university in Taiwan. Data collections include the groups’ research notes and interviews from selected groups. The result reveals that the participants could perform most of the engineering design practices, however, they have insufficient practices on the meta-cognitive dimensions. In addition, the factors that affect the participants’ engineering design are also revealed. Some suggestions that are beneficial in developing the engineering design are proposed in this study. © Springer International Publishing AG 2017.

关键词： Robotics

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The effects of a dynamic repertory grid for peer assessment: Peer assessment of computer software application certificate practice 5

The effects of a dynamic repertory grid for peer assessment:...

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5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

作者： Hsu, Ting-Chia Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9781467389853

This study developed a novel peer assessment system from the approach of knowledge engineering. Gathering information from experts, a dynamic repertory grid was created as a peer assessment form to be used in a computer skills class taught in a vocational school. This form is dynamic in that it allows student reviewers to select personalized assessment criteria from a bank of items, causing students to reflect on the purpose of the assignment being reviewed and how to best characterize the performance of the student completing the assignment as well as providing ample feedback for students. The results compared the performance of the students using the proposed system with that of the ones using conventional approaches, and found that those who applied the proposed approach learned better and made significant improvement. © 2016 IEEE.

关键词： Students

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Exploring the development of a Teaching Model Based on the TPACK Framework 6th

Exploring the Development of a Teaching Model Based on the T...

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Proceedings of the 6th International Conference on Innovative Technologies and Learning, ICITL 2023

作者： Hsu, Tai-Ping Chen, Mu-Sheng Hsu, Ting-Chia Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9783031401121

Despite the importance of technology, pedagogical and content knowledge (TPACK) to teachers’ professional development, many teachers still fail to clearly distinguish and apply its concepts. Most teachers lack the concept of technology-integrated teaching, resulting in low self-efficacy for TPACK and being unable to implement TPACK in actual situations. To address this problem, a teacher training course was designed in this study. The purpose of which was to improve the TPACK self-efficacy of in-service teachers. The participants included 10 secondary school teachers and 8 primary school teachers. It was found that after the training course, teachers’ TPACK self-efficacy was significantly improved. Finally, this teacher training course was developed into a general TPACK curriculum design model which teachers can use to create their own courses. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Curricula

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A Study of Image Recognition for Standard Convolution and Depthwise Separable Convolution 12th

A Study of Image Recognition for Standard Convolution and De...

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12th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2020

作者： Tseng, Fan-Hsun Kao, Fan-Yi Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei10610 Taiwan

ISBN: (纸本)9783030571146

Artificial intelligence and deep learning techniques are all around our life. Image recognition and natural language processing are the two major topics. Through using TensorFlow-GPU as backend in convolutional neural network (CNN) and deep learning network, image recognition has been an extreme breakthrough in recent years. However, more and more model parameters result in overfitting problem and computation overhead. In the paper, the performance of image recognition between standard CNN and depthwise separable CNN is experimented and investigated. In addition, data augmentation technique is applied to both standard and depthwise separable CNNs to improve the image recognition accuracy. The experiments are implemented by an open source API called Keras with using CIFAR-10 dataset. Experimental results showed that the depthwise separable CNN improves validation accuracy compared with the standard CNN. Moreover, schemes with data augmentation achieve higher validation accuracy but training accuracy. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Convolution

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Biophysical impact of forest age changes on land surface temperature in China

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Science of the Total Environment 2025年 964卷 178445页

作者： Zhang, Zhijiang Wang, Lunche Chen, Chao Zhang, Xiang Ding, Chao Yuan, Moxi Shen, Lixing Li, Xinxin School of Geography Science and Geomatics Engineering Suzhou University of Science and Technology Suzhou215009 China Suzhou Key Laboratory of Spatial Information Intelligent Technology and Application Suzhou University of Science and Technology Suzhou215009 China School of Geography and Information Engineering China University of Geosciences Wuhan430074 China Department of Geographic Science Faculty of Arts and Sciences Beijing Normal University Zhuhai519087 China School of Public Administration and Human Geography Hunan University of Technology and Business Changsha410205 China School of Atmospheric Science and Remote Sensing Wuxi University Wuxi214105 China School of Resource and Environmental Science Wuhan University Wuhan430079 China

Forest age structures have been substantially affected by natural disturbances and anthropogenic activities worldwide. Their changes can significantly influence local and nonlocal climate through both the biogeochemical and biophysical processes. However, numerous studies have focused on the biogeochemical effect of forest age changes whereas the biophysical effect has received far less attention. Here we investigated how forest age changes influence land surface temperature (LST) by comparing older forests and adjacent younger forests pixels and unraveled underlying biophysical mechanisms using satellite observations over China during 2003–2012. Our study showed that older forests had a substantial annual cooling benefit than adjacent medium-aged and young forests. Attribution analysis indicated that the cooling effect of latent heat flux counteracted the albedo-induced warming effect, leading to the net cooling effect of older evergreen needle-leaved forest or evergreen broadleaved forest. Furthermore, the cooling effect of sensible heat flux is greater than the albedo-driven warming effect, contributing to the net cooling effect of older deciduous broadleaved forest. Our work is a step forward to underscore the potential of preserving mature forests as a local climate adaptation strategy and provides important parameterization foundation for earth system models without incorporation of forest age modules. © 2025 Elsevier B.V.

关键词： Land surface temperature

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The Artificial Intelligence Learning Anxiety and Self-Efficacy of In-Service Teachers Taking AI Training Courses

The Artificial Intelligence Learning Anxiety and Self-Effica...

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2023 International Conference on Artificial Intelligence and Education, ICAIE 2023

作者： Hsu, Ting-Chia Hsu, Tai-Ping Lin, Yi-Ting National Taiwan Normal University Application and Human Resource Development Department of Technology Taipei Taiwan

ISBN: (纸本)9781665472906

This research explored the degree of learning self-efficacy of machine learning experience (MLSE) and artificial intelligence learning anxiety (AILA) of elementary and junior high school teachers. The participants were in-service teachers in the technology domain. This research applied the AI2 Robot City, which is a computational thinking board game, to in-service teacher education. The learning content was image classification for AI application. Elementary and junior high school teachers operated the MIT App Inventor(MAI) and Personal Image Classifier(PIC) platform, and trained the model for practicing AI to implement supervised machine learning on the PIC platform. The learners then inserted the model they had trained into the block-based programming environment of MAI. They completed the smart phone app and used the app to recognize the board game cards so as to control the movement of the smart cars on the table map to meet the requirements of the task in the AI2 Robot City board game. In order to understand affective factors such as the self-efficacy and learning anxiety of the elementary and middle school teachers participating in the AI teacher training workshop, the MLSE and AILA scales were administered before and after the classes. A total of 28 samples were collected. The results showed that there was no significant difference between the MLSE of the elementary and junior high school teachers. However, the average AILA degree of the junior high school teachers was significantly higher than that of the elementary school teachers. It was found that AILA was significantly negatively correlated with MLSE. The elementary and junior high school teachers were confident that they could study AI-related courses. However, the AILA of the junior high school teachers was higher than that of the elementary school teachers. Therefore, more teacher training workshops on AI application can be conducted for junior high school teachers to generally improve their familiari

关键词： Personnel training

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