Kaixin Gong
Biographic Data
| ID | 9590099 |
|---|---|
| NAME | Kaixin Gong |
| GIVEN NAMES | Kaixin |
| FAMILY NAME | Gong |
| SIGNATURE | GONG K |
| AFFILIATIONS | Tongji University |
| ORCID | 0000-0001-9210-543X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
An online scientific argumentation system to promote students’ learning performance, flow experience and learning satisfaction
Heterogeneous Multi-attribute Large-Scale Group Decision-Making Considering Individual Concerns and Information Credibility
Effects of collaborative filtering‐based peer recommendation mechanism on in‐service teachers’ learning performance, knowledge construction, and social network during online training
Disruptive technology identification of intelligent logistics robots in AIoT industry
This research constructs a disruptive technology identification framework based on attributes and functions and selects intelligent logistics robot technology for empirical analysis in the artificial intelligence & Internet of Things (AIoT) industry. We take the three attributes of technological novelty, breakthrough, and influence as measurement indicators to identify disruptive technologies and perform functional analysis of the technology to f…
No prominent works on this page.
Disruptive technology identification of intelligent logistics robots in AIoT industry
This research constructs a disruptive technology identification framework based on attributes and functions and selects intelligent logistics robot technology for empirical analysis in the artificial intelligence & Internet of Things (AIoT) industry. We take the three attributes of technological novelty, breakthrough, and influence as measurement indicators to identify disruptive technologies and perform functional analysis of the technology to f…
Heterogeneous Multi-attribute Large-Scale Group Decision-Making Considering Individual Concerns and Information Credibility
Effects of collaborative filtering‐based peer recommendation mechanism on in‐service teachers’ learning performance, knowledge construction, and social network during online training
An online scientific argumentation system to promote students’ learning performance, flow experience and learning satisfaction
Computer Science (3 works) · Artificial Intelligence (2 works) · Collaborative learning (2 works) · Innovative Teaching and Learning Methods (2 works) · Psychology (2 works) · Argumentation theory (1 work) · Asynchronous communication (1 work) · Bayesian Modeling and Causal Inference (1 work) · Blockchain Technology Applications and Security (1 work) · Business (1 work)