A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education
By Qi Xia, Thomas K. F. Chiu, Min Kyung Lee, I. Sanusi, Yun Dai, Ching Sing Chai. Comput. Educ., 2022
387 citations recorded by the source corpus.
.
Subfields: Experimental and Cognitive Psychology, Safety Research, Social Psychology
View Paper: https://www.semanticscholar.org/paper/6363716b093511d4706164349742d7ca77ba1ab9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
In Safety Research
In Social Psychology
Citations in the corpus
- Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy (2023, background): “To consider how AI Across the Curriculum initiatives could be developed, we can learn from K-12 curricula which have some experience incorporating the rapid expansion of technology, and specifically AI, into education (Chiu & Chai, 2020; Kandlhofer et al., 2016; Xia et al., 2022).”
- Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world (2023, background): “Although recent research effort has been put to address the need of fostering students’ AI competencies (e.g., Kong et al., 2021; Ng et al., 2021a, b; Xia et al., 2022), rarely do studies reveal what digital competencies teachers need to become ready in an AI-driven learning environment.”
- A review of AI teaching and learning from 2000 to 2020 (2022, methodology): “, 2019) and formal curricula (Xia et al., 2022) in primary and secondary schools.”
- The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney (2023, positive): “This fi nding is aligned with projects on AI for K-12 in di ff erent regions (Chiu & Chai, 2020; Xia et al., 2022).”