A5023914297- Online Learning and Analytics
- Intelligent Tutoring Systems and Adaptive Learning
- E-Learning and Knowledge Management
- Online and Blended Learning
- Innovative Teaching and Learning Methods
- Software System Performance and Reliability
- Educational Technology and Assessment
- Topic Modeling
- IoT and Edge/Fog Computing
- Machine Fault Diagnosis Techniques
- Innovative Teaching Methods
- Artificial Intelligence in Healthcare and Education
- Cloud Computing and Resource Management
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
- Artificial Intelligence in Healthcare
- Speech and dialogue systems
- Context-Aware Activity Recognition Systems
- Teaching and Learning Programming
- Machine Learning and Data Classification
- Ergonomics and Human Factors
- Advanced Text Analysis Techniques
- Structural Integrity and Reliability Analysis
- Educational Games and Gamification
- Education and Learning Interventions
National Chengchi University
2022-2024
National Pingtung University
2020-2021
National Central University
2016-2020
Carbon180
2020
Institute for Information Industry
2017-2018
As information technology continues to evolve rapidly, programming skills become increasingly crucial. To be able construct superb skills, the training must begin before college or even senior high school. However, when developing comprehensive programmers, learning and teaching processes considered. In order improve students' outcome engagement in course, this study applied analytics into proposed massive online open courses (MOOCs) enabled collaborative course. Through activity,...
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, major principle is targeting at-risk student and given timely intervention according results behavior analysis. However, when researchers machine train risk identifying model, reason which affected performance model was overlooked. This study collected seven datasets within three universities located Taiwan Japan listed metrics identification after fed data into eight classification...
With the rise of big data analytics, learning analytics has become a major trend for improving quality education. Learning is methodology helping students to succeed in classroom; principle predict student's academic performance at an early stage and thus provide them with timely assistance. Accordingly, this study used multiple linear regression (MLR), popular method predicting students' performance, establish prediction model. Moreover, we combined MLR principal component analysis (PCA)...
The flipped classroom pedagogy has been widely used recently. Despite many researches have paid attention with the learning outcome of classroom, there limited in regard to investigate relationship between behavior and outcomes a classroom. In this paper, we proposed influence online behaviors on short-term long-term This study Calculus grade point average (GPA) scores represent outcomes, respectively. Multiple linear regression indicated that students' does not significant effect but...
ABSTRACT The novel coronavirus disease (COVID-19) has caused a pandemic that disrupted supply chains globally. This black swan event is challenging industries from all sectors of the economy including those directly needed to produce items safeguard us itself, especially personal protection equipment (N95 masks, face shields) and much consumables associated with testing vaccine delivery (swabs, vials viral transfer medium). Digital manufacturing, 3D printing, been promulgated as an important...
In recent years, educational resources have gradually been digitized, and digital education platforms become popular. We use AI to accurately assist people in performing daily tasks through a machine learning process. education, we can many situations, such as predicting student's outcome discovering strategies. However, most solutions not yet utilized modern capabilities, natural language processing. This research aims help teachers machines automatically generate short answer questions...
Hadoop is a popular computing framework to deliver timely and cost-effective data processing on large cluster of commodity machines. It relieves the burden programmers dealing with distributed programming, an ecosystem Big Data solutions have developed around it. However, job execution time can be greatly depending its runtime configurations resource selections. Hence, optimizing still requires substantial amount expertise experiences. To address this challenge, paper aims develop...
Computer-supported Collaborative Learning (CSCL) is a pedagogical strategy associated with how learners construct knowledge group by computer-based learning system. In recent years, most of the systems record interaction log each learner when developing course assignments. However, recorded data facing challenge to expose behaviors during and design computer-supported collaborative activity. To address those challenges in this paper, novel programming tool called Software Project Development...
Improving learning outcomes is always one of the key objectives analytics (LA) and educational data mining (EDM). In recent years, many Massive Open Online Courses (MOOC) have been deployed making it easier to collect learners' for further analysis. Naturally, leveraging AI process such kind big becomes main research streams support education. this paper, we collected defined student patterns by online courses on Python programming then verified if their performance was influenced different...
This study is based on a novel conceptual framework, precision education, and takes blended Python programming course as an example to explore how implement education that includes diagnosis, prediction, prevention treatment. Precision follows the principles of personalized services for medicine. Its purpose strengthen learning risk prediction early intervention mentioned in emerging analytics through big data, artificial intelligence other technologies, thereby improving teacher teaching...
Generative AI (GenAl) has demonstrated its benefits for student learning outcomes in various educational settings. Due to diverse applications, it become a trend many researchers explore usage. In this study, we applied GenAl, specifically ChatGPT, workshop designed 43 university teachers understand the importance of Plato's Allegory Cave context education. The was chosen because came from disciplines, and needed subject area that they were not already familiar with. utilized GenAl four main...
Many previous studies have shown that students' learning strategies and engagement are both important factors affecting outcome. We want to know whether the of students who use different is different, so we can proxy measure according used by students. Different from past methods using questionnaires or interviews, this research education data mining technology directly analyze logs online system extract strategies. collected 56 students, extracted sequence clustering. classified four...
According to the statistics of Bureau Tourism, number tourist Taiwan has reached as high 75 million in recent ten years, whole world show trend internationalization gradually. In this situation, English been becoming necessary language, also it becomes second language global people. Learning is regarded a national activity nowadays. However, most us cant learn well because we grow Chinese environment, and there no suitable environment for English. Therefore, scholar suggested using Situated...
Scientific exhibition in Taiwan has been held by National Science Education Center for more than 55 years, 15,000 works accumulated. It also becomes a famous competition K-12 students. In order to provide recommendation of research topic the participating students, domain experts require growth and related industry from past works. However, with long history scientific exhibition, cannot interpret all short term. Therefore, through computer explore summarize large number an emerging...
Primarily due to increasing computer use, people are spending more and time sitting in front of a desk every day. However, prolonged has been associated with tiredness, hypertension, pain areas like the lower back or shoulders. These symptoms arise for variety reasons, but musculoskeletal disorders particular largely poor postures. The adverse results caused by postures can be controlled proper training monitoring. This study attempts provide automatic ergonomic assessment using only webcam...
A typical Internet of Things (IoT) system usually consists three types components: the client devices that serve as information providers (sensors), gateway gathers raw streaming data from and delivers to cloud, cloud offers all kinds services transform into valuable information. message broker service cluster, such a RabbitMQ is employed hub connect clients other services. In case multi-tenant, provider must deliver good QoS each several gateways. However, may enormously occupy time...