Rebecca L Marrone
Biographic Data
| ID | 4640743 |
|---|---|
| NAME | Rebecca L Marrone |
| GIVEN NAMES | Rebecca L |
| FAMILY NAME | Marrone |
| SIGNATURE | MARRONE R L |
| AFFILIATIONS | University of South Australia |
| ORCID | 0000-0002-9218-4120 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
How Does Narrow AI Impact Human Creativity
While Artificial Intelligence (AI) is set to transform how we live, work, and play, competencies such as creativity remain fundamentally human. However, the way we learn, develop, and deploy creativity will be impacted by AI. This paper sets out four underpinning propositions that will help to guide the integration of AI and human creativity. These propositions explain not only why AI is not independently creative, but also how AI can support and…
Creative Thinking and Non-Cognitive Factors in Science
Educational institutions worldwide are increasingly urged to recognize the significance of integrating creative thinking and other essential capabilities across different academic disciplines. Additionally, there is a growing focus on students’ non-cognitive factors. However, relationships between creativity and non-cognitive factors, such as self-concept in subjects such as science, are not well understood. Given the global attempts to increase …
Automated scoring of figural creativity using a convolutional neural network
AB One of the abiding challenges in creativity research is assessment. Objectively scored tests of creativity such as the Torrance Tests of Creativity and the test of Creative Thinking-Drawing Production (TCT-DP; Urban & Jellen, 1996) offer high levels of reliability and validity but are slow and expensive to administer and score. As a result, many creativity researchers default to simpler and faster self-report measures of creativity and related…
Perceptions and perspectives of Australian school leaders on the integration of artificial intelligence in schools
The integration of AI in education has the potential to significantly transform teaching and learning. However, the successful adoption of AI is heavily reliant on the actions and perspectives of school leaders. As schools increasingly incorporate AI into their classrooms, it is essential to understand how education leaders perceive this technology and the factors that influence their decision-making around its implementation. This study explores…
Fit-For-Purpose Creativity Assessment
Creativity is now universally recognized as an essential, 21st century competency. However, there are many practical barriers to the development of creativity in schools, universities and workplaces. Chief among these is a problem of the fitness-for-purpose of creativity assessments. Highly valid and reliable creativity tests, necessary to support the development of individual creativity, are typically slow and labor-intensive to administer and s…
Advancing Holistic Decision‐Making Systems in Schools
The relationship between students’ self-regulated learning skills and technology acceptance of GenAI
Generative artificial intelligence (GenAI) has quickly become prolific in our daily lives, including the higher education sector. Although an AI-fuelled world is unpredictable, there is an urgent need to understand how university students use GenAI to support their learning and the factors influencing GenAI adoption. In this study, underpinned by self-regulated learning (SRL) theory and the technology acceptance model, we examined how university …
Human‐ AI Co‐Creativity
Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from “AI is creative” and towards a more balanced model of Human‐AI co‐creativity. Nevertheless, even this paradigm may be impacted by untested assumptions: for example, that generative AI will boost human performance on idea…
Statistical modelling of the impact of online courses in higher education on sustainable development
Purpose The concept of sustainable development (SD) is a popular response to society’s need to preserve and extend the life span of natural resources. One of the 17 goals of the SD is “education quality” (Fourth Goal of Sustainable Development [SDG-4]). Education quality is an important goal because education is a powerful force that can influence social policies and social change. The SDG-4 must be measured in different contexts, and the tools t…
Automatic Assessment of Mathematical Creativity using Natural Language Processing
Creativity is now accepted as a core 21st-century competency and is increasingly an explicit part of school curricula around the world. Therefore, the ability to assess creativity for both formative and summative purposes is vital. However, the fitness-for-purpose of creativity tests has recently come under scrutiny. Current creativity assessments have up to five key weaknesses that create a barrier to their widespread use in educational settings…
Rethinking the entwinement between artificial intelligence and human learning
The proliferation of AI in many aspects of human life—from personal leisure, to collaborative professional work, to global policy decisions—poses a sharp question about how to prepare people for an interconnected, fast-changing world which is increasingly becoming saturated with technological devices and agentic machines. What kinds of capabilities do people need in a world infused with AI? How can we conceptualise these capabilities? How can we …
Digital education strategies around the world
Technology is omnipresent in our rapidly changing digital world. Capitalising on these technologies is paramount for education systems to support a modern workforce. This study presents a review of 10 countries, highlighting how different public education systems have integrated digital technologies for teaching and learning. These education systems were selected based on their high performance and continuous improvement in international assessme…
Teacher implicit beliefs of creativity
Teacher implicit beliefs of creativity
Human‐ AI Co‐Creativity
Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from “AI is creative” and towards a more balanced model of Human‐AI co‐creativity. Nevertheless, even this paradigm may be impacted by untested assumptions: for example, that generative AI will boost human performance on idea…
Teacher implicit beliefs of creativity
Rethinking the entwinement between artificial intelligence and human learning
The proliferation of AI in many aspects of human life—from personal leisure, to collaborative professional work, to global policy decisions—poses a sharp question about how to prepare people for an interconnected, fast-changing world which is increasingly becoming saturated with technological devices and agentic machines. What kinds of capabilities do people need in a world infused with AI? How can we conceptualise these capabilities? How can we …
Digital education strategies around the world
Technology is omnipresent in our rapidly changing digital world. Capitalising on these technologies is paramount for education systems to support a modern workforce. This study presents a review of 10 countries, highlighting how different public education systems have integrated digital technologies for teaching and learning. These education systems were selected based on their high performance and continuous improvement in international assessme…
Statistical modelling of the impact of online courses in higher education on sustainable development
Purpose The concept of sustainable development (SD) is a popular response to society’s need to preserve and extend the life span of natural resources. One of the 17 goals of the SD is “education quality” (Fourth Goal of Sustainable Development [SDG-4]). Education quality is an important goal because education is a powerful force that can influence social policies and social change. The SDG-4 must be measured in different contexts, and the tools t…
Automatic Assessment of Mathematical Creativity using Natural Language Processing
Creativity is now accepted as a core 21st-century competency and is increasingly an explicit part of school curricula around the world. Therefore, the ability to assess creativity for both formative and summative purposes is vital. However, the fitness-for-purpose of creativity tests has recently come under scrutiny. Current creativity assessments have up to five key weaknesses that create a barrier to their widespread use in educational settings…
Automated scoring of figural creativity using a convolutional neural network
AB One of the abiding challenges in creativity research is assessment. Objectively scored tests of creativity such as the Torrance Tests of Creativity and the test of Creative Thinking-Drawing Production (TCT-DP; Urban & Jellen, 1996) offer high levels of reliability and validity but are slow and expensive to administer and score. As a result, many creativity researchers default to simpler and faster self-report measures of creativity and related…
Perceptions and perspectives of Australian school leaders on the integration of artificial intelligence in schools
The integration of AI in education has the potential to significantly transform teaching and learning. However, the successful adoption of AI is heavily reliant on the actions and perspectives of school leaders. As schools increasingly incorporate AI into their classrooms, it is essential to understand how education leaders perceive this technology and the factors that influence their decision-making around its implementation. This study explores…
Fit-For-Purpose Creativity Assessment
Creativity is now universally recognized as an essential, 21st century competency. However, there are many practical barriers to the development of creativity in schools, universities and workplaces. Chief among these is a problem of the fitness-for-purpose of creativity assessments. Highly valid and reliable creativity tests, necessary to support the development of individual creativity, are typically slow and labor-intensive to administer and s…
Advancing Holistic Decision‐Making Systems in Schools
The relationship between students’ self-regulated learning skills and technology acceptance of GenAI
Generative artificial intelligence (GenAI) has quickly become prolific in our daily lives, including the higher education sector. Although an AI-fuelled world is unpredictable, there is an urgent need to understand how university students use GenAI to support their learning and the factors influencing GenAI adoption. In this study, underpinned by self-regulated learning (SRL) theory and the technology acceptance model, we examined how university …
Human‐ AI Co‐Creativity
Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from “AI is creative” and towards a more balanced model of Human‐AI co‐creativity. Nevertheless, even this paradigm may be impacted by untested assumptions: for example, that generative AI will boost human performance on idea…
How Does Narrow AI Impact Human Creativity
While Artificial Intelligence (AI) is set to transform how we live, work, and play, competencies such as creativity remain fundamentally human. However, the way we learn, develop, and deploy creativity will be impacted by AI. This paper sets out four underpinning propositions that will help to guide the integration of AI and human creativity. These propositions explain not only why AI is not independently creative, but also how AI can support and…
Creative Thinking and Non-Cognitive Factors in Science
Educational institutions worldwide are increasingly urged to recognize the significance of integrating creative thinking and other essential capabilities across different academic disciplines. Additionally, there is a growing focus on students’ non-cognitive factors. However, relationships between creativity and non-cognitive factors, such as self-concept in subjects such as science, are not well understood. Given the global attempts to increase …
Psychology (11 works) · Social Psychology (8 works) · Computer Science (7 works) · Creativity (7 works) · Creativity in Education and Neuroscience (7 works) · Sociology (6 works) · Mathematics education (4 works) · Pedagogy (4 works) · Political science (4 works) · Cognitive psychology (3 works)