Co-Designing AI Agents to Support Social Connectedness Among Online Learners: Functionalities, Social Characteristics, and Ethical Challenges

Author:

Wang Qiaosi1,Jing Shan2,Goel Ashok K.1

Affiliation:

1. School of Interactive Computing, Georgia Institute of Technology, United States

2. School of Computer Science, Georgia Institute of Technology, United States

Publisher

ACM

Reference83 articles.

1. Mark  S Ackerman . 2000. The intellectual challenge of CSCW: The gap between social requirements and technical feasibility. Human–Computer Interaction 15, 2-3 ( 2000 ), 179–203. https://doi.org/10.1207/S15327051HCI1523_5 Mark S Ackerman. 2000. The intellectual challenge of CSCW: The gap between social requirements and technical feasibility. Human–Computer Interaction 15, 2-3 (2000), 179–203. https://doi.org/10.1207/S15327051HCI1523_5

2. Kasim  M Al-Aubidy . 2005. Applying Fuzzy Logic for Learner Modeling and Decision Support in Online Learning Systems.Journal of Educational Technology 2, 3 ( 2005 ), 76–85. Kasim M Al-Aubidy. 2005. Applying Fuzzy Logic for Learner Modeling and Decision Support in Online Learning Systems.Journal of Educational Technology 2, 3 (2005), 76–85.

3. Comparing Social Isolation Effects on Students Attrition in Online Versus Face-to-Face Courses in Computer Literacy

4. When the Social Becomes Non-Human: Young People's Perception of Social Support in Chatbots

5. Hugh Beyer and Karen Holtzblatt . 1999. Contextual design. interactions 6, 1 ( 1999 ), 32–42. Hugh Beyer and Karen Holtzblatt. 1999. Contextual design. interactions 6, 1 (1999), 32–42.

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