Christine E Nickel
Biographic Data
| ID | 6770530 |
|---|---|
| NAME | Christine E Nickel |
| GIVEN NAMES | Christine E |
| FAMILY NAME | Nickel |
| SIGNATURE | NICKEL C E |
| AFFILIATIONS | Old Dominion University |
| ORCID | 0009-0009-6420-3716 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Governing generative AI in higher education
As GenAI technologies become more pervasive in higher education (HE), scholars call for guidance on AI governance. To meet this need, a Delphi technique and collective writing was used in gathering expert perspectives from across 22 countries/locations and six continents. This resulted in the development of a HE GenAI policy/guidelines framework with eight core areas: (1) academic integrity, (2) ethical use and responsible use, (3) privacy and pr…
Designing faculty standards for technology integration in higher education institutions
This design-based research study responds to the call from scholars, organizations, and institutions to address the gap in scholarly knowledge regarding the lack of technology standards for faculty in higher education. These standards cover the three areas of faculty workload: teaching, research, and service. Conducted over two iterative macro cycles, this unique study engaged 114 participants, including faculty from a range of disciplines and in…
A framework for generative AI policy and guidelines in K-12 education
The rapid emergence of generative artificial intelligence (GenAI) has introduced both opportunities and challenges for education systems worldwide. Educational stakeholders are grappling with fundamental questions of how to guide students on whether and when, and in what ways, they should use GenAI. In this study, a framework was developed to guide K–12 policies and guidelines on the use of GenAI. Using the Delphi technique and collective writing…
Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors
ChatGPT, an AI chatbot developed by OpenAI, was released in November 2022, sparking a significant surge in global awareness and utilization of generative AI across various domains. Although recent studies have acknowledged the significance of ChatGPT in the education sector, they have yet to focus on exploring faculty attitudes toward ChatGPT. We gathered a comprehensive corpus of tweets containing “#ChatGPT” and “#highered” between November 30th…
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Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors
ChatGPT, an AI chatbot developed by OpenAI, was released in November 2022, sparking a significant surge in global awareness and utilization of generative AI across various domains. Although recent studies have acknowledged the significance of ChatGPT in the education sector, they have yet to focus on exploring faculty attitudes toward ChatGPT. We gathered a comprehensive corpus of tweets containing “#ChatGPT” and “#highered” between November 30th…
Governing generative AI in higher education
As GenAI technologies become more pervasive in higher education (HE), scholars call for guidance on AI governance. To meet this need, a Delphi technique and collective writing was used in gathering expert perspectives from across 22 countries/locations and six continents. This resulted in the development of a HE GenAI policy/guidelines framework with eight core areas: (1) academic integrity, (2) ethical use and responsible use, (3) privacy and pr…
Designing faculty standards for technology integration in higher education institutions
This design-based research study responds to the call from scholars, organizations, and institutions to address the gap in scholarly knowledge regarding the lack of technology standards for faculty in higher education. These standards cover the three areas of faculty workload: teaching, research, and service. Conducted over two iterative macro cycles, this unique study engaged 114 participants, including faculty from a range of disciplines and in…
A framework for generative AI policy and guidelines in K-12 education
The rapid emergence of generative artificial intelligence (GenAI) has introduced both opportunities and challenges for education systems worldwide. Educational stakeholders are grappling with fundamental questions of how to guide students on whether and when, and in what ways, they should use GenAI. In this study, a framework was developed to guide K–12 policies and guidelines on the use of GenAI. Using the Delphi technique and collective writing…
Artificial Intelligence in Healthcare and Education (3 works) · Higher education (3 works) · Educational technology (2 works) · Ethics and Social Impacts of AI (2 works) · Generative grammar (2 works) · Technology integration (2 works) · Accreditation (1 works) · Anger (1 works) · Blueprint (1 works) · Corporate governance (1 works)