A5101628404- Innovative Teaching and Learning Methods
- Online Learning and Analytics
- Intelligent Tutoring Systems and Adaptive Learning
- Experimental Learning in Engineering
- Augmented Reality Applications
- Online and Blended Learning
- Visual and Cognitive Learning Processes
- Speech and dialogue systems
- Diverse Academic Research Analysis
- Educational Games and Gamification
- Gender and Technology in Education
- Digital Storytelling and Education
- Innovative Teaching Methods
- Higher Education and Teaching Methods
- Natural Language Processing Techniques
- Image Processing Techniques and Applications
- Knowledge Management and Sharing
- Software Engineering Research
- Microgrid Control and Optimization
- Education Practices and Evaluation
- Advanced Vision and Imaging
- Diverse Education Studies and Reforms
- Mobile Learning in Education
- Induction Heating and Inverter Technology
- Education and Technology Integration
Institute for the Future
2021-2023
Concord Consortium
2018-2020
University of Memphis
2013-2016
Analog Devices (United States)
2014
The extraordinary ability of generative models emerges as a new trend in image editing and generating realistic images, posing serious threat to the trustworthiness multimedia data driving research manipulation detection location (IMDL). However, lack large-scale foundation makes IMDL task unattainable. In this paper, we build local generation pipeline that integrates powerful capabilities SAM, LLM, models. Upon basis, propose GIM dataset, which has following advantages: 1) Large scale,...
Integrating engineering design into K-12 curricula is increasingly important as has been incorporated many STEM education standards. However, the ill-structured and open-ended nature of makes it difficult for an instructor to keep track processes all students simultaneously provide personalized feedback on a timely basis. This study proposes Bayesian network model dynamically automatically assess students’ engagement with tasks support formative feedback. Specifically, we applied 111...
Augmented reality (AR) has the potential to fundamentally transform science education by making learning of abstract ideas tangible and engaging. However, little is known about how students interacted with AR technologies these interactions may affect performance in laboratories. This study examined high school students’ navigation patterns a mobile technology, developed research team, laboratory settings. The technology allows conduct hands-on experiments interactively explore various...
Abstract Background With the increasing popularity of distance education, how to engage students in online inquiry‐based laboratories remains challenging for science teachers. Current remote labs mostly adopt a centralized model with limited flexibility left teachers' just‐in‐time instruction based on students' real‐time practices. Objectives The goal this research is investigate impact non‐centralized lab cognitive and behavioural engagement. Methods A mixed‐methods design was adopted....
In this paper, the small-signal model of LLC resonant converter is derived using extended describing function (EDF) methodology and dynamics are studied based on small signal taking into account circuit parasitic resistance. When designing controller, damping effect induced by resistance usually neglected. While it will be shown in paper that for large transformer turns ratio, secondary side introduces significant tank. A controller designed an example circuit. It control loop phase margin...
Research on self-regulated learning (SRL) in engineering design is growing. While SRL an effective way of learning, however, not all learners can regulate themselves successfully. There a lack research regarding how student characteristics, such as science knowledge and knowledge, interact with SRL. Adapting the theory field design, this study proposes model to examine mediation causal relationships among activities (i.e. observation, formulation, reformulation, analysis, evaluation)....
Augmented reality (AR) has great potential to radically change science education by making abstract concepts visible and interactive. In this paper, we describe initial investigations into high school students' perceptions of learning with an AR technology (i.e., SmartIR) through analyzing semi-structured interviews. SmartIR is app that supports the investigation science, such as thermodynamics. Specifically, it can show changes in thermal imaging over time provides a data analytics function...
Abstract There is a growing interest from teachers in incorporating more engineering design into K-12 classrooms. This has been bolstered by initiatives such as the Next Generation Science Standards that push for greater integration of and other STEM topics K-12. However, there are several challenges to implementing projects these settings. Many have limited or no experience teaching design. Even those who some design, trying oversee an entire classroom students navigating open, complex...
The extraordinary ability of generative models emerges as a new trend in image editing and generating realistic images, posing serious threat to the trustworthiness multimedia data driving research manipulation detection location(IMDL). However, lack large-scale foundation makes IMDL task unattainable. In this paper, local pipeline is designed, incorporating powerful SAM, ChatGPT models. Upon basis, We propose GIM dataset, which has following advantages: 1) Large scale, including over one...