Kyle M L Jones
Biographic Data
| ID | 4610705 |
|---|---|
| NAME | Kyle M L Jones |
| GIVEN NAMES | Kyle M L |
| FAMILY NAME | Jones |
| SIGNATURE | JONES K M L |
| AFFILIATIONS | Indiana University – Purdue University Indianapolis |
| ORCID | 0000-0002-4245-9480 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Generative AI in Qualitative Research and Related Transparency Problems
Generative Artificial Intelligence (AI) tools, particularly large language models (LLMs), are rapidly transforming qualitative data analysis by offering unprecedented speed and scale. However, this integration introduces significant challenges to methodological transparency due to the algorithmic opacity of these “black-box” systems and their hidden decision points. Traditional qualitative reporting guidelines predate generative AI and lack speci…
Governing Privacy in Knowledge Commons
Governing Privacy in Knowledge Commons explores how privacy impacts knowledge production, community formation, and collaborative governance in diverse contexts, ranging from academia and IoT, to social media and mental health. Using nine new case studies and a meta-analysis of previous knowledge commons literature, the book integrates the Governing Knowledge Commons framework with Helen Nissenbaum's Contextual Integrity framework. The multidiscip…
Student privacy in learning analytics
Higher education institutions have started using big data analytics tools. By gathering information about students as they navigate information systems, learning analytics employs techniques to understand student behaviors and to improve instructional, curricular, and support resources and learning environments. However, learning analytics presents important moral and policy issues surrounding student privacy. We argue that there are five crucial…
Student privacy in learning analytics
Higher education institutions have started using big data analytics tools. By gathering information about students as they navigate information systems, learning analytics employs techniques to understand student behaviors and to improve instructional, curricular, and support resources and learning environments. However, learning analytics presents important moral and policy issues surrounding student privacy. We argue that there are five crucial…
Student privacy in learning analytics
Higher education institutions have started using big data analytics tools. By gathering information about students as they navigate information systems, learning analytics employs techniques to understand student behaviors and to improve instructional, curricular, and support resources and learning environments. However, learning analytics presents important moral and policy issues surrounding student privacy. We argue that there are five crucial…
Governing Privacy in Knowledge Commons
Governing Privacy in Knowledge Commons explores how privacy impacts knowledge production, community formation, and collaborative governance in diverse contexts, ranging from academia and IoT, to social media and mental health. Using nine new case studies and a meta-analysis of previous knowledge commons literature, the book integrates the Governing Knowledge Commons framework with Helen Nissenbaum's Contextual Integrity framework. The multidiscip…
Generative AI in Qualitative Research and Related Transparency Problems
Generative Artificial Intelligence (AI) tools, particularly large language models (LLMs), are rapidly transforming qualitative data analysis by offering unprecedented speed and scale. However, this integration introduces significant challenges to methodological transparency due to the algorithmic opacity of these “black-box” systems and their hidden decision points. Traditional qualitative reporting guidelines predate generative AI and lack speci…
Artificial Intelligence in Healthcare and Education (2 works) · Computer Science (2 works) · Information privacy (2 works) · Internet privacy (2 works) · Knowledge management (2 works) · Political science (2 works) · Privacy-Preserving Technologies in Data (2 works) · Accountability (1 work) · Analytics (1 work) · Artificial Intelligence (1 work)