A5016939843- Innovative Teaching and Learning Methods
- Online Learning and Analytics
- Knowledge Management and Sharing
- Online and Blended Learning
- E-Learning and Knowledge Management
- Early Childhood Education and Development
- Educational Tools and Methods
- Child Abuse and Trauma
- Machine Learning and Data Classification
- Poverty, Education, and Child Welfare
- Gaussian Processes and Bayesian Inference
- Bullying, Victimization, and Aggression
- Educational Games and Gamification
- Explainable Artificial Intelligence (XAI)
- Fault Detection and Control Systems
- Education and Technology Integration
- Educational Technology and Pedagogy
- Opinion Dynamics and Social Influence
- Psychosocial Factors Impacting Youth
- Complex Network Analysis Techniques
- Educational Innovations and Technology
- Ideological and Political Education
- Artificial Intelligence in Healthcare and Education
- Child Welfare and Adoption
- Education and Critical Thinking Development
California University of Pennsylvania
2023-2024
University of Pennsylvania
2023-2024
Jinan University
2023
University of Minnesota System
2020-2022
University of Minnesota
2020
North China Electric Power University
2018-2019
Generative artificial intelligence (GenAI) is penetrating in various social sectors, motivating a strong need for teaching AI literacy younger generations. While substantial efforts have been made to teach and use facilitate learning, few studies provided empirical accounts of students' nuanced processes using GenAI learning. In this study, we engaged group high school students leveraging ChatGPT support their knowledge building efforts. Following the teacher's pedagogical design, used range...
Purpose The COVID-19 pandemic has forced many instructors to rapidly shift online/distance teaching. With a narrow preparation window, are at loss of strategies that both effective in responding the crisis and compatible with their professional practices. One urgent need classrooms all levels is support social reading course materials. To fulfill this need, paper aims present systematic literature review on using Web annotation K-12 higher education provide practical evidence-based...
In the context of todays society, there is a potential connection between investment father and daughters first time experiencing penetrative sex, so we propose an experiment, questioning how paternal predicts age sexual debut in daughters. Two surveys are designed for mother to report investment, dividing fathers into always present, partially absent, daughter their sex. Since behaviors main approach reproduction, which evolutionary psychology pays lots attention on due its human evolution...
Generative artificial intelligence (GenAI) is penetrating in various social sectors, motivating a strong need for teaching AI literacy younger generations. While substantial efforts have been made to teach and use facilitate learning, few studies provided empirical accounts of students’ nuanced processes using GenAI learning. In this study, we engaged group high school students leveraging ChatGPT support their knowledge building efforts. Following the teacher’s pedagogical design, used range...
Effective collaborative discourse requires both cognitive and social engagement of students. To investigate complex socio-cognitive dynamics in discourse, this paper proposes to model as a socio-semantic network (SSN) then use motifs – defined recurring, significant subgraphs characterize the hence discourse. demonstrate utility our SSN framework, we applied it sample dataset. While more work needs be done, framework shows promise novel, theoretically informed approach analysis.
The COVID-19 pandemic has forced many instructors to rapidly shift online/distance teaching. With a narrow preparation window, are at loss of strategies that both effective in responding the crisis and compatible with their professional practices. This article presents systematic literature review use web annotation support reading discussion activities formal education. As genre information systems, allows users socially engage resources is used education social reading, argumentation,...
This symposium brings together scholars from the international Knowledge Building community to advance an emerging line of research that aims strengthen infrastructures for and tell "untold stories" infrastructuring activities are key implementing sustaining in various contexts.Infrastructuring as a practice design-based (Penuel, 2019) moves away static views infrastructure acknowledges hidden processes (re)designing infrastructures.For innovations like Building, illuminating process would...
Social annotation has emerged as an important approach to supporting students’ social interaction and collaborative knowledge building in the classroom. Despite great interest among practitioners a growing body of literature, activities are often guided by practical intuitions rather than informed theories learning technology- supported collaboration. To strengthen practice, more work is needed explore systematic application rich collaboration this context. The proposed hybrid symposium aims...
Telling the Chinese story well" has been an important task of Communist Party, and is great value in presenting a true, three-dimensional comprehensive China improving country's cultural soft power. In new era, combination "telling English majors can help guide college students to deeply understand confidence, improve cross-cultural communication skills pass on promote culture. The rapid development media brought unprecedented challenges opportunities for universities. initiative integrate...
Web annotation is a genre of information technology that allows user to annotate in shared document and anchor discussion the annotated information. When it used socially online classes, web can support social reading, group sensemaking, knowledge construction, community building (Chen, 2019; Kalir et al., 2020, Zhu et.al, 2020).To several University Minnesota instructors’ pivot teaching , we conducted study was focused on engaging undergraduate students reading discussing course materials...
In Computer-Supported Collaborative Learning, ideas generated through collaborative discourse are informative indicators of students' learning and collaboration. Idea creation is a product emergent interactive socio-cognitive endeavors. Therefore, analyzing requires capturing contextual information in addition to the themselves. this paper, we propose Joint Attention-Interaction-Creation (AIC) framework, which captures important dynamics discourse, from attention interaction creation. The...
The ability to synthesize information has emerged as a critical skill for success across various fields. However, within the field of education, there is lack systematic understanding and well-defined design infrastructures that address mechanisms processes knowledge synthesis in collaborative learning settings. In this poster, we introduce innovation - Synthesis Lab, which aims support students synthesizing ideas from their online discussions higher education classrooms. tool offers...
The ability to synthesize information has emerged as a critical skill for success across various fields. However, within the field of education, there is lack systematic understanding and well-defined design infrastructures that address mechanisms processes knowledge synthesis in collaborative learning settings. In this poster, we introduce innovation – Synthesis Lab, which aims support students synthesizing ideas from their online discussions higher education classrooms. tool offers...
In Computer-Supported Collaborative Learning, ideas generated through collaborative discourse are informative indicators of students' learning and collaboration.Idea creation is a product emergent interactive socio-cognitive endeavors.Therefore, analyzing requires capturing contextual information in addition to the themselves.In this paper, we propose Joint Attention-Interaction-Creation (AIC) framework, which captures important dynamics discourse, from attention interaction creation.The...
The Bayesian transformed Gaussian process (BTG) model, proposed by Kedem and Oliviera, is a fully counterpart to the warped (WGP) marginalizes out joint prior over input warping kernel hyperparameters. This treatment of hyperparameters often provides more accurate regression estimates superior uncertainty propagation, but prohibitively expensive. BTG posterior predictive distribution, itself estimated through high-dimensional integration, must be inverted in order perform model prediction....