- Online Learning and Analytics
- Teaching and Learning Programming
- Multilevel Inverters and Converters
- Educational Games and Gamification
- Artificial Intelligence in Healthcare and Education
- Microgrid Control and Optimization
- Online and Blended Learning
- Innovative Teaching and Learning Methods
- AI in Service Interactions
- Genetics, Bioinformatics, and Biomedical Research
- E-Learning and Knowledge Management
- Educational Technology and Pedagogy
- Wind Turbine Control Systems
- Education and Technology Integration
- Machine Learning in Materials Science
- Innovative Education and Learning Practices
- Computational Drug Discovery Methods
- Microbial Fuel Cells and Bioremediation
- Neural Networks and Applications
- Face and Expression Recognition
- Caching and Content Delivery
- Sensorless Control of Electric Motors
- Electrochemical sensors and biosensors
- Advanced Control Systems Optimization
- Brain Tumor Detection and Classification
Hangzhou Normal University
2023-2024
Zhejiang University
2006-2024
Washington University in St. Louis
2024
Heilongjiang University
2023
Duke University
2020
Zhejiang Normal University
2015
Civil Aviation University of China
2014
National University of Singapore
2003
Abstract ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners opportunities to better understand principles programming. However, limited empirical studies have explored impact ChatGPT on learners’ processes. This study employed a quasi-experimental design explore possible ChatGPT-facilitated mode college students’ behaviors, performances, and perceptions. 82 students were randomly...
This paper proposes an improved coordinate direct power control (DPC) strategy for the doubly fed induction generator (DFIG) and grid side converter (GSC) of a wind generation system under unbalanced network conditions. Two DPC schemes DFIG GSC are presented, respectively. The is to eliminate torque stator reactive pulsations, while compensate pulsations active power. In order provide enhanced performance overall system, resonant controllers tuned at fundamental double frequency applied in...
Unplugged programming is proved to be an effective means foster the learner-centered learning. In addition final tests, learners' knowledge, skills, and capacities are primarily demonstrated throughout process, particularly in situation when they encounter challenges problems. However, few studies examine how learners engage processes what extent unplugged fosters This research used a quasi-experimental design investigate two instructional modes China's secondary education, namely,...
Abstract Background With the development of computational literacy, there has been a surge in both research and practice application text‐based block‐based modalities within field computer programming education. Despite this trend, little work actually examined how learners engaging process when utilizing these two major modalities, especially context secondary education settings. Objectives To further compare effects between conducted quasi‐experimental China's school. Methods An online...
Pair programming is a collaborative learning mode to foster novice learners’ computer programming. Previous empirical research has reported contrasting conclusions about the effect of pair on student learning. To further understand students’ programming, this study uses mixed method analyze three pairs’ behaviors, discourses, and perceptions from multi-dimensional perspective. The analysis results show that high-ranked characterized as interactive, socially-supportive, goal-oriented pair;...
The development of massive open online courses (MOOCs) has proceeded through three generations, and in all three, discussions have been considered a critical component. Although MOOCs the potential to promote learning, instructors faced challenges facilitating learners’ knowledge inquiry, construction, management social interaction. In addition, understanding various aspects learning calls for more mixed-method studies provide both quantitative, generalized analysis qualitative, detailed...
We draw on reinforcement learning frameworks to design and implement an adaptive controller for managing resource contention. During runtime, the observes dynamic system conditions optimizes control policies that satisfy latency targets yet improve server utilization. evaluate a physical prototype guarantees 95th percentile latencies search engine improves utilization by up 70%, compared exclusively reserving servers interactive services, varied batch workloads in machine learning.
This project intends to study the image representation based on attention mechanism and multimodal data. By adding multiple pattern layers attribute model, semantic hidden of content are integrated. The word vector is quantified by Word2Vec method then evaluated a embedding convolutional neural network. published experimental results two groups were tested. show that this can convert discrete features into continuous characters, thus reducing complexity feature preprocessing. natural...
This paper proposed a modified predictive direct power control (P-DPC) strategy for grid-connected voltage-sourced converter under unbalanced grid voltage conditions. The P-DPC is implemented in the stationary reference frame without necessity of either space vector modulation or synchronous speed d-q transformation. A compensation method adopted conventional to eliminate negative sequence component gird current purpose obtaining symmetrical and sinusoidal Positive components extraction also...
Note-taking is an ever-present learning activity in students’ daily lives, and increasing number of mobile terminals have been integrated into curricu-lums. However, the effectiveness use digital note-taking on has not deeply explored. The purpose this study to evaluate how using af-fects student performance, with particular regard declarative, procedural conditional knowledge learning. A quasi-experiment was conducted for three months among 72 first-year high school students from a computer...
This paper introduces a modified direct torque control (DTC) strategy for hybrid-inverter fed open winding permanent magnet synchronous motor (PMSM). The drive system is composed of main inverter (MI) powered by DC voltage source and conditioning (CI) connected to capacitor. A reference stator flux linkage calculating method DTC incorporating weakening (FW) proposed utilizing the mathematical model in frame synchronized linkage. decomposing into active reactive parts presented, capacitor...
Real-time collaborative programming (RCP), which allows multiple programmers to work concurrently on the same codebase with changes instantly visible all participants, has garnered considerable popularity in higher education. Despite this trend, little rigorously examined how undergraduates engage when using RCP. This study utilized a quasi-experimental design investigate impact of RCP undergraduates’ knowledge and skills, behaviors, attitudes toward collaboration. Eighty-two participants...
ChatGPT has proven to facilitate computer programming tasks through the strategic use of prompts, which effectively steer interaction with language model towards eliciting relevant information. However, impact specifically designed prompts on learning outcomes not been rigorously examined empirical research. This study adopted a quasi-experimental framework investigate differential effects prompt-based (PbL) versus unprompted (UL) conditions behaviors, qualities, and perceptions college...
Due to the rapid growth of various programming tools in secondary school computer science classes, block-based environment has replaced or taken precedence over text-based languages. Despite their growing use formal contexts, relatively few empirical works have been done understand students' behavior using and environments classrooms. In this article, we designed a 5-week, quasi-experimental research comparing isomorphic modalities an introductory class. Mixed-method approach was used...
In the paper, fault-tolerant control strategy for aero-engine electronic system is researched based on Model Reference Adaptive Control method. design process, a new reference model method proposed with Raccatti equation, which can guarantee reconfiguration have satisfactory performance. According to sensor failure models, mathematic given. Lyapunov stability theory was applied obtain adaptive law through function, ensure strictly positive realness and global asymptotic system. For typical...
Although previous research has provided some insights into the effects of block-based and text-based programming modalities, there is a dearth detailed, multi-dimensional analysis transition process from different introductory modalities to professional learning. This study employed quasi-experimental design address this gap, involving 64 secondary school students in two groups. For beginning five weeks, first group used an environment, while second environment. Then, both groups...
Various dissolved oxygen (DO) sensors have been successfully developed for short-term or laboratory monitoring. However, only few of them can be used long-term and in-situ DO measurement, most had problems including high cost weekly calibration. Here, a chitin-carrying microbial fuel cell (MFC) based sensor was using sediment anolyte monitoring without maintenance, with an extremely low 12.17$ performance comparable to certain commercial sensors. The long lifetime over half year attributed...