A5004066253- AI-based Problem Solving and Planning
- Educational Games and Gamification
- Online Learning and Analytics
- Digital Marketing and Social Media
- Face and Expression Recognition
- Emotion and Mood Recognition
- Technology Adoption and User Behaviour
- Semantic Web and Ontologies
- Learning Styles and Cognitive Differences
- Service-Oriented Architecture and Web Services
- Face recognition and analysis
- Electric Vehicles and Infrastructure
- Spam and Phishing Detection
- Multi-Criteria Decision Making
- Business Process Modeling and Analysis
- Advanced Battery Technologies Research
- Formal Methods in Verification
- Outsourcing and Supply Chain Management
- Robotic Path Planning Algorithms
- Neural Networks and Applications
- Stock Market Forecasting Methods
- Market Dynamics and Volatility
- Vehicle emissions and performance
- Gene Regulatory Network Analysis
- Virtual Reality Applications and Impacts
National Taichung University of Education
2015-2025
Sanming University
2023-2024
AU Optronics (Taiwan)
2022
Chienkuo Technology University
2013-2020
National Sun Yat-sen University
1993-2018
National University of Kaohsiung
2005-2018
I-Shou University
2018
National Kaohsiung University of Applied Sciences
2011-2017
National Taiwan University of Science and Technology
2013-2015
National Tsing Hua University
1990-2011
Abstract Background This study proposes a learning cycle and comprehensive research framework that integrates Bloom’s taxonomy: the cognitive domain (cognitive load), affective (attitude motivation) psychomotor (implementation of science, technology, engineering, arts, math [STEAM] activities) to explore relationship between these domains intention. The proposed innovative mediated-moderation model includes second-order factors derived from technology acceptance (TAM) (perceived usefulness,...
Long short-term memory (LSTM) networks are a state-of-the-art sequence learning in deep for time series forecasting. However, less study applied to financial forecasting especially cryptocurrency prediction. Therefore, we propose new framework with LSTM model bitcoin daily price two various models (conventional and AR(2) model). The performance of the proposed evaluated using data during 2018/1/1 2018/7/28 total 208 records. results confirmed excellent accuracy AR(2). test mean squared error...
Abstract Affect can significantly influence education/learning. Thus, understanding a learner's affect throughout the learning process is crucial for motivation. In conventional education/learning research, learner motivation be known through postevent self‐reported questionnaires. With advance of affective computing technology, researchers are able to objectively identify and measure status during entire in real‐time manner, then they understand interrelationship between emotion,...
With the emergence of non-fungible tokens (NFTs) in blockchain technology, educational institutions have been able to use NFTs reward students. This is done by automatically processing transaction information and buying selling process using smart contract technology. The technology enables establishment recognition levels incentivizes students receive NFT rewards. According Taxonomy Learning Pyramid, learning through hands-on experiences plays a crucial role attracting students’ interest....
In this paper, we address a big-data analysis method for estimating the driving range of an electric vehicle (EV), allowing drivers to overcome anxiety. First, present approach project life battery pack 1600 cycles (i.e., 8 years/160 000 km) based on data collected from cycle-life test. This has merit simplicity. addition, it considers several critical issues that occur inside packs, such as dependence internal resistance and state-of-health. Subsequently, describe our work pattern EV, using...
Non-fungible token (NFT) products are important for industrial applications. In recent years, they have rapidly gained importance in the field of blockchain combined with metaverse. The concept NFTs has developed gradually, as many industries begun using creatively to raise new business innovation opportunities entrepreneurship. However, few studies been conducted analyzing critical features success, trends, and challenges NFT products. this study, group discussions, case analysis methods,...
At present, the development in nascent field of synthetic gene networks is still difficult. Most newly created are nonfunctioning due to intrinsic parameter fluctuations, uncertain interactions with unknown molecules and external disturbances intra extracellular environments on host cell. How design a completely new network, that track some desired behaviors under these extrinsic cell, most important topic biology. In this study, environmental disturbances, modeled into nonlinear stochastic...
Purpose – The purpose of this paper is to conceptualise a framework that integrates information quality, system function and social influence based on the (IS) success model, explore relationship among these factors, which might be key determinants Facebook educational usage intention. Design/methodology/approach An internet survey was conducted collect empirical data from 221 users their experiences using Facebook. This study applied structural equation modeling (SEM) demonstrate proposed...
Purpose This study aims to explore the augmented reality (AR) effectiveness of museum visiting. Design/methodology/approach Based on AR marketing motivation model and inspiration model, critical mental process were revealed that could increase visits. The mixed-methods approach was adopted analyze qualitative research test hypotheses understand perceptions increasing Findings authors found perceived quality are enhancing attitudinal developers can thus focus utilitarian hedonic benefits in...
Participating in science, technology, engineering, arts, and mathematics (STEAM) fosters learning engagement improves student outcomes. This study explored the effects of creativity style on motivation STEAM education to emphasize critical inner process learning. The curriculum content was established based with artificial intelligence (AI) game development. A Creativity Assessment Questionnaire designed measure students’ through creativity. Before experiment, participants completed a...
This study aims to create an AI system that analyzes text evaluate student engagement in STEAM education. It explores how sentiment analysis can measure emotional, cognitive, and behavioral involvement learning. We developed AI-based assess learning engagement, integrating speech recognition, natural language processing techniques, keyword analysis, analysis. The was designed the level of effectively. A computational thinking curriculum sheets were for university students, students’...
Several studies were conducted in past years which used the evolutionary process of Genetic Algorithms for optimizing Support Vector Regression parameter values although, however, few them devoted to simultaneously optimization type kernel function involved established model. The present work introduces a new hybrid genetic-based approach, whose statistical quality and predictive capability is afterward analyzed compared other standard chemometric techniques, such as Partial Least Squares,...