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Digital transformation anxiety: absorptive capacity, dynamic capability, and digital innovation performance

Management Decision 2025年第3期63卷 734-755页

作者： Chang, Ching-Hsun Chen, Yu-Shan Tseng, Chin-Wei Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan Department of Business Administration National Taipei University New Taipei City Taiwan

Purpose: This study proposes the novel construct of digital transformation anxiety and investigates its effect, which is mediated by absorptive capacity and dynamic capability, on digital innovation performance. Design/methodology/approach: This study conducted a questionnaire survey among Taiwanese manufacturing and service companies to verify the research framework. A total of 130 valid responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) and bootstrapping to test direct and mediation effects, respectively. Findings: Digital transformation anxiety negatively affects absorptive capacity and dynamic capability, whereas absorptive capacity and dynamic capability positively affect digital innovation performance. Dynamic capability more strongly mediates the association between digital transformation anxiety and digital innovation performance than absorptive capacity. Additionally, digital transformation anxiety does not negatively affect digital innovation performance. Finally, manufacturing companies had significantly higher levels of digital transformation anxiety than service companies. Research limitations/implications: This study proposes the novel construct of digital transformation anxiety to address a gap in the literature. Digital transformation anxiety leads companies to adopt unnecessarily conservative practices, preventing them from flexibly responding to technological advances. This insight highlights the negative effect of such anxiety on absorptive capacity and dynamic capability, extending the application of path dependency theory to companies. The findings underscore the value of enhancing dynamic capability and reallocating resources to foster digital innovation. The study identified and explored the concept of digital transformation anxiety and extended the perspective of dynamic capability to include digital transformation and digital innovation. Practical implications: The current findings indica

关键词： Absorptive capacity Digital innovation performance Digital transformation anxiety Dynamic capability

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Using mobile technology acceptance model to explore the satisfaction and continuous use of live streaming for training

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Interactive Learning Environments 2025年第2期33卷 1298-1321页

作者： Hsiao, Hsien-Sheng Lu, Shao-Yu Chang, Tze-Ling Lee, Chen-Shun Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan Institule for Research Excellence in Learning Sciences National Taiwan Normal University Taipei Taiwan

During the digital era and especially the COVID-19 pandemic, live streaming emerged as a vital component of mobile learning and training. This study sought to determine whether the social presence and interactivity experienced by learners using live digital platforms could enhance their learning outcomes, satisfaction, and propensity for ongoing *** the mobile technology acceptance model as its research framework, this study integrated interactivity and social presence as external variables. The aim was to uncover how these variables impact user satisfaction and continued use, while also exploring the mediating role of learning effectiveness in driving continued use. A live streaming system designed for mobile training was tested among 67 employees in a pilot study. The results demonstrated that:(1)Ease of use positively impacted perceptions of mobile usefulness.(2)Mobile usefulness, interactivity, and social presence had a positive effect on satisfaction, yet ease of use didn't significantly influence satisfaction.(3)Interactivity enhanced social presence.(4)Satisfaction was a key driver of continued use, with learning effectiveness acting as a partial mediator between them. The findings from this research can guide businesses looking to utilize live streaming for training purposes and serve as a reference for academic research in similar areas. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： interactivity mobile learning mobile technology acceptance model social presence Transformation of learning

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A Transdisciplinary STEM Course Integrated through Project-based Learning on Robotics: Perspective from Teacher and Student Feedback

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Asia Pacific Journal of Education 2025年第2期45卷 661-676页

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

Project-based learning (PjBL) facilitates STEM learning, but the integrity of the project activities is a challenge and the design of integrated STEM courses through PjBL remains unclear. The purpose of this study was to design and evaluate a transdisciplinary STEM course integrated through P_jBL in robotics. Participants in the teaching experiment for four weeks were 54 high school students, including 29 males and 25 females. Based on semi-structured interviews with students and teachers and open-ended questionnaires from students, the course not only facilitated knowledge integration and application but also brought a positive effect on students’ learning outcomes. This study not only confirms that PjBL can be applied in the STEM course but also provides a practical example as a reference for designing transdisciplinary STEM courses integrated through PjBL. Finally, the implications for teaching practices and theories are also proposed. © 2023 National Institute of Education, Singapore.

关键词： integration Project-based learning robotics STEM, transdisciplinary

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Designing miniatures for a science and technology contest: The role of metacognitive performance in error-based learning

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International Journal of technology and Design Education 2025年 1-18页

作者： Tsai, Chi-Ruei Hong, Jon-Chao Department of Technology Application and Human Resource Development National Taiwan Normal University No. 162 Heping East Road Section 1 Taipei106308 Taiwan Institute for Research Excellence in Learning Sciences National Taiwan Normal University No. 162 Heping East Road Section 1 Taipei106308 Taiwan

The process of error detection, explanation, and correction is essential in project making. Such structured error-based learning is thought to occur via active exploration of metacognitive processes. To understand how error-based learning can strengthen metacognitive performance, this study focused on hands-on project making in a STEAM contest. According to trait activation theory, participants practice metacognitive skills to continue improving their project functions, this study explored how participants’ motivation in a hands-on project affected the three types of metacognitive performance: monitoring of cognition, knowledge of cognition, and regulation of cognition. This study utilized purposive sampling and delivered a questionnaire to participants in a STEAM contest called PowerTech. Confirmatory factor analysis and structural equation modeling were performed to verify the research model. The results indicated that the intrinsic motivation to attend the contest was positively related to the three types of metacognitive performance, and negatively related to anxiety about losing the contest. The implication of this study is that when involved in a hands-on project, metacognitive ability can be enhanced through the practice of detection, explanation, and correction while working on a project. © The Author(s) 2025.

关键词： Error detection

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Community Engagement and Ecosystem Services for Mine Rehabilitation

Integrative Conservation

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Integrative Conservation 2025年第1期4卷 107-112页

作者： Pan, Yuan Duddigan, Sarah Devanadera, Ma Catriona E. Quierrez, Rico Neil M. Tibbett, Mark Department of Digital Humanities King's College London London United Kingdom Department of Sustainable Land Management School of Agriculture Policy and Development University of Reading Reading United Kingdom Department of Community and Environmental Resource Planning College of Human Ecology University of the Philippines Los Baños Los Baños Philippines Department of Science and Technology Philippine Nuclear Research Institute (DOST-PNRI) Quezon City Philippines

The growing global demand for minerals presents economic opportunities for countries such as the Philippines but also raises concerns about the impacts of mineral extraction on local communities and ecosystem services. This study explores an interdisciplinary community engagement process informing mine rehabilitation in the Philippines, framed through an ecosystem services lens. As part of the PROMT (Philippines Remediation of Mine Tailings) project, we conducted an initial participatory workshop at the Padcal Mine site, engaging Indigenous communities to assess local perspectives on ecosystem services and the impacts of mining activities. Through video presentations, a questionnaire, and focus groups, we found that 88% of participants understood the concept of ecosystem services after viewing an introductory video, while 62% believed mining negatively affected ecosystem services. Interestingly, 65% felt that rehabilitated mines could provide future ecosystem services, such as agriculture or ecotourism. Gender differences were evident, with women perceiving more significant mining impacts but being more optimistic about the rehabilitation potential. This underscores the importance of inclusive engagement approaches. The ecosystem services framework effectively bridges ecological knowledge with community priorities and tangible benefits, promoting social acceptance of mine rehabilitation. This interdisciplinary approach, particularly the integration of Indigenous perspectives, remains underused in mining contexts. Our community-based participatory methodology provides guidance for balancing diverse socioeconomic and environmental considerations. © 2025 The Author(s). Integrative Conservation published by John Wiley & Sons Australia, Ltd on behalf of Xishuangbanna Tropical Botanical Garden (XTBG).

关键词： community engagement ecosystem services mine rehabilitation mine tailings mineral extraction stakeholder engagement

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Engagement, Academic Emotions, and Artificial Intelligence application Creativity in the Metaverse: A Study of Facial Expressions

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Journal of Computer Assisted Learning 2025年第3期41卷

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

Background Due to the rapid development of artificial intelligence (AI) and the widespread adoption of online learning post-COVID-19, the metaverse has become an important strategy for innovative teaching. Objectives This study aimed to investigate the impact of the metaverse on learning engagement, learning emotions, and creative performance in AI applications by analysing academic emotions through facial expressions. Methods The study was conducted as a non-equivalent group pretest–posttest quasi-experimental construct involving 97 students from a public high school. The experimental teaching theme focused on AI image recognition and speech recognition, with the experimental group receiving online metaverse instruction and the control group receiving instruction through Google Meet. Results and Conclusion Key findings include the following: the metaverse significantly and positively influenced cognitive, emotional, and social dimensions of learning engagement, but no impact was observed on the behavioural dimension; the metaverse had a substantial impact on the creative performance of AI application design, particularly in the empathy, definition, ideation, and testing stages; and the metaverse significantly affected academic emotions, with increased expressions of anger and sadness observed, particularly during the empathy, definition, and ideation stages of design thinking. Thus, the results of this study provide a pedagogical foundation for the adoption of the metaverse and auxiliary tools in teaching.

关键词： academic emotions AI creativity engagement facial expression metaverse steam

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Do attitudes matter? An investigation into students’ attitudes toward engineering and learning performances through engineering-focused STEM curricula

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International Journal of technology and Design Education 2025年第1期35卷 123-150页

作者： Tzeng, Sy-Yi Yu, Kuang-Chao Wu, Pai-Hsing Fan, Szu-Chun Department of Graphic Communications and Digital Publishing Shih-Hsin University Taipei City Taiwan Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei City Taiwan Center for Textbook Research National Academy for Educational Research New Taipei City Taiwan Department of Industrial Technology Education National Kaohsiung Normal University No. 62 Shenzhong Rd. Yanchao Dist Kaohsiung City824 Taiwan

Many studies have investigated students’ attitudes toward engineering (ATE), but few have examined the changes in attitudes after attending an engineering design curriculum. This study analyzes these attitudinal changes in students attending an engineering-focused science, technology, engineering, and mathematics (EF-STEM) curriculum and investigates the influence and correlation between attitudes and learning performance. The participants included 364 tenth-grade students (ages 16–18 years). An 18-week experimental intervention design (2 h per week) was adopted. The Attitudes Towards Engineering Scale—Taiwan was applied before and after attending the EF-STEM course;remaining assessments were conducted post-course. The results showed that the ATE statistically decreased after attending the course, shifting from a positive attitude to a neutral-leaning attitude. Although most students appreciated the importance of engineering design, they exhibited a high degree of anxiety toward it. Moreover, their pre-ATE was significantly correlated with their perception of engineering design and learning performance. These results indicate that engineering design curricula do not necessarily have a positive effect on student ATE. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

关键词： Curricula

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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]

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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

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Multimodal Brain Tumor Segmentation Using a Dual-Branch Vision Transformer Integrated with Region-Attention Fusion Network

Multimodal Brain Tumor Segmentation Using a Dual-Branch Visi...

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Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on

作者： Sunita Yadwad Rajeswari C D. Nirmal Raj Pravin Dange Department of Computer Science and Engineering Faculty of Engineering and Technology Parul University Gujarat India Department of Computer Science and Engineering Chennai Institute of Technology Kundrathur India Balaji Institute of Management and Human Resource Development (BIMHRD) Pune India Symbiosis Institute of Management Studies Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Accurate segmentation of brain tumors is a critical task in medical imaging, aiding diagnosis, treatment planning, and prognosis. This paper introduces a novel framework for brain tumor segmentation that leverages a Dual-Branch Vision Transformer (DB-ViT) integrated with a Region-Attention Fusion Network (RAFN) to address the limitations of conventional convolutional neural networks. The DB-ViT processes multimodal MRI sequences, including T1, T1c, T2, and FLAIR, to extract global contextual features while preserving modality-specific information. Simultaneously, the RAFN enhances segmentation precision by refining local features and focusing on critical regions of interest through an attention mechanism. The proposed method effectively combines global and local feature representations, ensuring accurate delineation of tumor boundaries. Extensive experiments were conducted on the BraTS dataset, demonstrating the superiority of our approach over existing methods such as U-Net, Attention U-Net, and TransUNet. Quantitative evaluation metrics, including Dice Score and Intersection over Union (IoU), indicate significant improvements in segmentation accuracy. The framework also achieves computational efficiency and robustness across diverse tumor morphologies. Visual results further validate its ability to enhance boundary delineation, particularly in heterogeneous tumor regions. The proposed methodology represents a significant advancement in automated medical image analysis, offering potential for real-time clinical applications. Future work aims to explore broader clinical validation and real-time deployment of this framework.

关键词： Measurement Image segmentation Computer vision Accuracy Attention mechanisms Refining Brain tumors Transformers Real-time systems Planning

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Enhancing Image Search Engine Accuracy Using Psychological Intention Diagrams

Enhancing Image Search Engine Accuracy Using Psychological I...

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Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on

作者： Aswathi KP Sunita Yadwad D. Nirmal Raj Shailesh Rastogi Department of Computer Science and Engineering Chennai Institute of Technology Chennai India Department of Computer science and Engineering Faculty of Engineering and Technology Parul University Vadodara India Balaji Institute of Management and Human Resource Development (BIMHRD) Pune India Symbiosis Institute of Business Management Nagpur Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

As the Internet becomes increasingly image-centric, users face substantial challenges in efficiently locating desired images due to the inherent limitations of image search engines in interpreting visual content and keyword ambiguity. This paper introduces an innovative solution employing psychological intention diagrams to enhance search accuracy. These diagrams harness historical data to depict the search intentions associated with specific keywords, reflecting both user and web designer perspectives. By integrating these diagrams, our proposed search engine significantly refines its ability to predict and retrieve the most relevant images. The implementation of this system involves constructing two types of intention diagrams: one based on past user queries and another derived from the intentions of web designers for cases without historical user data. This dual approach not only captures the semantic essence of images more effectively but also addresses the multi-faceted meanings of search keywords. Our experimental results confirm that incorporating psychological dimensions into image search mechanisms substantially improves precision, facilitating more accurate and user-aligned image retrieval. This pioneering approach is the first to apply psychological profiling in enhancing image search engine functionalities, marking a significant advancement in digital image retrieval technologies.

关键词： Visualization Accuracy Digital images Semantics Image retrieval Psychology Machine learning Search engines Internet Standards

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