Article
Education & Educational Research
Yanfang Su, Kanglong Liu, Chun Lai, Tan Jin
Summary: This study examined how a group of college English learners engaged in collaborative argumentation in a blended learning context over a semester. The analysis revealed that students showed distinct features in argument structure and interaction patterns at different phases of argumentation, and the role of English as a second language shifted from impeding to facilitating argumentation over time.
Article
Education & Educational Research
Wenli Chen, Jesmine S. H. Tan, Si Zhang, Zhongling Pi, Qianru Lyu
Summary: This paper introduces the design of the AppleTree system, which has three unique features: a graph-based workspace for explicit externalization of knowledge co-construction and argumentation, a four-phased switch to structure the CSCL process, and real-time learning analytics to promote argument development. The empirical study shows that the AppleTree system facilitates effective collaboration and supports learners in developing strong arguments.
ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT
(2023)
Article
Computer Science, Artificial Intelligence
Ofer Arieli, AnneMarie Borg, Christian Strasser
Summary: This paper provides a comprehensive study of logical argumentation frameworks in modeling non-monotonic reasoning. It characterizes their semantics and inference relations and identifies well-behaved formal argumentative models. The study considers rationality postulates and presents a classification of argumentation frameworks based on the types of attacks they implement.
ARTIFICIAL INTELLIGENCE
(2023)
Article
Management
Reyhan Aydogan, Tim Baarslag, Enrico Gerding
Summary: Conflict resolution is crucial in various scenarios such as politics, business, and daily life. Research in different fields, including anthropology, social science, psychology, mathematics, biology, and more recently, artificial intelligence, has led to the development of computational models and approaches for conflict resolution. Workshops like COREDEMA aim to bring together different research strands to further the study of conflict resolution, with contributions expanding from ECAI 2016 workshop.
GROUP DECISION AND NEGOTIATION
(2021)
Article
Automation & Control Systems
Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis
Summary: Computational argumentation has played a key role in modeling negotiation dialogues, with this work providing a complete computational account of argumentation-based negotiation under incomplete opponent profiles. The framework presented in this work focuses on finding suitable arguments to support the agent's best option despite uncertain knowledge about the opponent, and experimental evidence highlights the advantages of this approach.
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
(2021)
Article
Education & Educational Research
Fan-Jun Yang, Chien-Yuan Su, Wen-Wen Xu, Yue Hu
Summary: Argumentation scaffolding was used in a web-based scientific argumentation environment to support simulation-based physics learning for elementary school students. The results showed that prompt argumentation scaffolding improved students' capacity to produce scientific explanations. Lag sequential analysis revealed that the experimental group had more coherent, evidence-based arguments and conscious reasoning compared to the control group.
INTERACTIVE LEARNING ENVIRONMENTS
(2022)
Article
Computer Science, Interdisciplinary Applications
Jeongyun Han, Kwan Hoon Kim, Wonjong Rhee, Young Hoan Cho
Summary: This study developed a dashboard system based on learning analytics to provide adaptive support for face-to-face collaborative argumentation. The dashboards significantly improved the process and outcomes of collaborative argumentation, encouraging active participation from students and receiving positive feedback from them.
COMPUTERS & EDUCATION
(2021)
Review
Education & Educational Research
Elisabeth Mayweg-Paus, Maria Zimmermann, Nguyen-Thinh Le, Niels Pinkwart
Summary: This review examines the technologies that support users in collaboratively seeking online information, integrating psychological-pedagogical approaches on trust and critical questioning, argumentation, and computer-supported collaborative learning. It highlights the importance of considering collaborative argumentation in technology development to enhance the benefits of seeking online information.
EDUCATION AND INFORMATION TECHNOLOGIES
(2021)
Article
Education & Educational Research
Donna Governor, Doug Lombardi, Catie Duffield
Summary: This study used the Systemic Functional Linguistics model to explore students' negotiation during scientific argumentation, finding that effective negotiation can facilitate students in reaching consensus on the relationship between evidence and models, while unsuccessful negotiation may result in imbalanced discussions and more conflicts.
JOURNAL OF RESEARCH IN SCIENCE TEACHING
(2021)
Article
Chemistry, Multidisciplinary
S. J. Coles, D. Robinson, A. Davesne, T. L. Threlfall
Summary: Statistical Design of Experiment methods were used to investigate the effects of 24 seeding parameters on crystallization cycles. Surprisingly, the mass or surface area of the seeds were found to be insignificant, while the method of stirring and reusing vessels were significant factors. These results can be explained by the single event and embryo coagulation mechanisms.
CRYSTAL GROWTH & DESIGN
(2022)
Article
Chemistry, Analytical
Yuan Ren, Cheng Huang, Yongbo Lv, Wanjun Lv, Han Zhang
Summary: This paper proposes an overall technical architecture for a distributed real-time transcoding CDN system and designs resource storage policy models and algorithms. The technical efficiency of the system is verified through simulation experiments.
Article
Public, Environmental & Occupational Health
Elizabeth C. Oelsner, Akshaya Krishnaswamy, Pallavi P. Balte, Norrina Bai Allen, Tauqeer Ali, Pramod Anugu, Howard F. Andrews, Komal Arora, Alyssa Asaro, R. Graham Barr, Alain G. Bertoni, Jessica Bon, Rebekah Boyle, Arunee A. Chang, Grace Chen, Sean Coady, Shelley A. Cole, Josef Coresh, Elaine Cornell, Adolfo Correa, David Couper, Mary Cushman, Ryan T. Demmer, Mitchell S. Elkind, Aaron R. Folsom, Amanda M. Fretts, Kelley P. Gabriel, Linda C. Gallo, Jose Gutierrez, Mei Lan K. Han, Joel M. Henderson, Virginia J. Howard, Carmen R. Isasi, David R. Jacobs, Suzanne E. Judd, Debora Kamin Mukaz, Alka M. Kanaya, Namratha R. Kandula, Robert C. Kaplan, Gregory L. Kinney, Anna Kucharska-Newton, Joyce S. Lee, Cora E. Lewis, Deborah A. Levine, Emily B. Levitan, Bruce D. Levy, Barry J. Make, Kimberly Malloy, Jennifer J. Manly, Carolina Mendoza-Puccini, Katie A. Meyer, Yuan-I Nancy Min, Matthew R. Moll, Wendy C. Moore, David Mauger, Victor E. Ortega, Priya Palta, Monica M. Parker, Wanda Phipatanakul, Wendy S. Post, Lisa Postow, Bruce M. Psaty, Elizabeth A. Regan, Kimberly Ring, Veronique L. Roger, Jerome Rotter, Tatjana Rundek, Ralph L. Sacco, Michael Schembri, David A. Schwartz, Sudha Seshadri, James M. Shikany, Mario Sims, Karen D. Hinckley Stukovsky, Gregory A. Talavera, Russell P. Tracy, Jason G. Umans, Ramachandran S. Vasan, Karol E. Watson, Sally E. Wenzel, Karen Winters, Prescott G. Woodruff, Vanessa Xanthakis, Ying Zhang, Yiyi Zhang
Summary: The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study comprising 14 established US cohort studies that aims to evaluate risk factors and outcomes of COVID-19, as well as assess the long-term societal and behavioral impact of the pandemic on health trajectories.
AMERICAN JOURNAL OF EPIDEMIOLOGY
(2022)
Article
Polymer Science
Abdulsalam Abdulaziz Al-Tamimi, Mehdi Tlija, Mustufa Haider Abidi, Arfat Anis, Abd Elaty E. Abd Elgawad
Summary: Material extrusion (ME) is an additive manufacturing technique that requires further exploration in multi-material fabrication. This study investigates different conditions and designs to optimize PLA-ABS composite parts without pre- or post-processing procedures. The results show that it is possible to create composite structures with good mechanical properties and surface roughness values without costly post-processing procedures.
Article
Business
Malgorzata (Mag) Karpinska-Krakowiak, Wojciech Trzebinski, Heejin Lim, Beata Marciniak
Summary: This study conducted three experiments to explore the persuasive effects of argumentation type and message design on emerging technology products. Previous studies proposed a matching principle in advertising, but our research found that the dis-matching principle (aligning abstract argumentation with low psychological distance and concrete argumentation with high psychological distance) is more effective for emerging technology products, particularly in narrative message design ads.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Kristijonas Cyras, Quentin Heinrich, Francesca Toni
Summary: This study focuses on the complexity analysis of Probabilistic Assumption-Based Argumentation (PABA) with respect to probabilistic verification, credulous and sceptical acceptance function problems under different ABA semantics. The research provides a comprehensive understanding of the landscape of ABA complexity for classical decision problems.
ARTIFICIAL INTELLIGENCE
(2021)
Article
Engineering, Mechanical
Liu Boyuan, Huang Shuangxi, Fan Wenhui, Xiao Tianyuan, James Humann, Lai Yuyang, Jin Yan
CHINESE JOURNAL OF MECHANICAL ENGINEERING
(2016)
Article
Engineering, Mechanical
Newsha Khani, James Humann, Yan Jin
JOURNAL OF MECHANICAL DESIGN
(2016)
Article
Computer Science, Artificial Intelligence
Xiongqing Liu, Yan Jin
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
(2020)
Article
Computer Science, Artificial Intelligence
Hao Ji, Yan Jin
Summary: Self-organizing systems (SOS) are developed for complex tasks in unforeseen situations, using a multiagent reinforcement learning (RL) model to solve the rule generation problem. A rotation reward function is introduced to regulate agent behavior and different weights of such reward are tested on SOS performance in two case studies. Three metrics are proposed to evaluate SOS: learning stability, quality of knowledge, and scalability, showing that optimal weights of rotation reward can enhance agent learning capability.
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
(2021)
Article
Computer Science, Interdisciplinary Applications
Hao Ji, Yan Jin
Summary: This paper proposes a multiagent reinforcement learning-based model for solving the rule generation problem in complex SOS tasks. Through investigating team sizes and task variations, it is found that there is an optimal range for the number of agents in a team to achieve good learning stability. The learned knowledge shows strong robustness to external noises.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Yunjian Qiu, Yan Jin
Summary: This study investigates extractive summarization using sentence embeddings generated by finetuned BERT models and the k-means clustering method. The results demonstrate that BERT models, when finetuned with domain-specific datasets, can generate summaries with more domain terminologies and better content overlap with original documents than other non-BERT-based models.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2022)
Article
Engineering, Mechanical
Zijian Zhang, Yan Jin
Summary: The goal of this research is to develop a computer-aided visual analogy support framework to enhance designers' visual analogical thinking by providing relevant visual cues. This study focuses on developing a computational framework and conducting human-based behavioral studies to validate visual cue exploration tools. A visual cue exploration framework and deep clustering model are proposed to reveal shape patterns of sketches and cluster them for preserving category information.
JOURNAL OF MECHANICAL DESIGN
(2022)
Article
Computer Science, Artificial Intelligence
Bingling Huang, Yan Jin
Summary: Self-organizing systems have the potential to adapt and handle system degradations. Integrating social learning into multiagent reinforcement learning can improve training and task performance.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Engineering, Mechanical
Yunjian Qiu, Yan Jin
Summary: In this study, a method for extracting design knowledge from documents is proposed, which utilizes a specific domain labeled dataset to fine-tune a BERT model. The method also uncovers internal relationships and definitions to enhance understanding. The case study demonstrates the effectiveness of this approach in extracting relevant design knowledge points.
JOURNAL OF MECHANICAL DESIGN
(2023)
Article
Computer Science, Artificial Intelligence
Bingling Huang, Yan Jin
Summary: This paper investigates the impact of reward shaping in the context of an L-shape assembly task. The experimental results show that reward shaping can be highly effective for training agent teams, but the singularities, proper forms, and suitable gradients of the shaping fields are essential for successful training, and the effectiveness of reward shaping functions also highly depends on the size of agent teams.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Zijian Zhang, Yan Jin
Summary: This paper proposes a computational framework for searching and retrieving visual stimulation cues to help designers generate more creative ideas. By using a deep neural network model and a cluster detection-based method, visual relationships between different categories of sketches can be discovered and quantified, effectively ranking the categories.
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Yu Hou, Lucio Soibelman, Yan Jin
COMPUTING IN CIVIL ENGINEERING 2019: VISUALIZATION, INFORMATION MODELING, AND SIMULATION
(2019)
Proceedings Paper
Engineering, Industrial
Hao Ji, Yan Jin
PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2018, VOL 7
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Edwin A. Williams, Yan Jim
2018 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS)
(2018)
Article
Computer Science, Artificial Intelligence
Zi-jian Zhang, Lin Gong, Yan Jin, Jian Xie, Jia Hao
ADVANCED ENGINEERING INFORMATICS
(2017)
