Cormac McGrath
Biographic Data
| ID | 6872025 |
|---|---|
| NAME | Cormac McGrath |
| GIVEN NAMES | Cormac |
| FAMILY NAME | McGrath |
| SIGNATURE | MCGRATH C |
| AFFILIATIONS | Stockholm University |
| ORCID | 0000-0002-8215-3646 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
When I say … informed consent
Through the latest instalment of “When I Say...” the authors offer strategy for being better informed about informed consent
What is the problem with generative artificial intelligence in higher education? – a critical analysis of educator responsibility in the Swedish policy landscape
The widespread integration of Generative AI (GenAI) tools in higher education has compelled universities to develop policies for responsible GenAI use. As educators play a pivotal role in enacting policy in teaching and assessment practices, we conducted a policy study to critically examine how educator responsibility is articulated in this evolving landscape. Approaching policy discursively, we drew on Bacchi’s what’s-the-problem-represented-to-…
Teaching with the algorithm: Anticipations of AI in teacher education
Education and teacher practices are increasingly entangled with anticipations of how Artificial Intelligence (AI) will change education. Implications for teacher education are not wholly understood. This study explores anticipations of AI in K–12 education and teachers’ pedagogical practices, and contributes to an understanding of the anticipated impacts of AI on teacher education. Interviews were conducted with experts in computer science and te…
Twelve tips on finding a research orientation: A practical guide for the novice researcher
Health professions education (HPE) research has developed into a robust scientific field, embracing a variety of methodological approaches. Although not always explicitly stated, research inquiries are underpinned by a research orientation; philosophical assumptions that guide the way in which research is designed, conducted, reported and evaluated. In a field as diverse as ours, novice researchers may find it challenging to orient themselves in …
Generative AI chatbots in higher education: A review of an emerging research area
Artificial intelligence (AI) chatbots trained on large language models are an example of generative AI which brings promises and threats to the higher education sector. In this study, we examine the emerging research area of AI chatbots in higher education (HE), focusing specifically on empirical studies conducted since the release of ChatGPT. Our review includes 23 research articles published between December 2022 and December 2023 exploring the…
Navigating uncertainty: University teachers’ experiences and perceptions of generative artificial intelligence in teaching and learning
The emergence of generative artificial intelligence (GAI) has given rise to diverse narratives about its transformative potential in higher education. Despite widespread speculation about how GAI might change teaching and learning, there is a significant gap in understanding how GAI artefacts are perceived in educational practices, particularly from the perspective of university teachers. This study investigates how GAI mediates teachers’ practic…
Promises and breakages of automated grading systems: A qualitative study in computer science education
Automated grading systems (AGSs) have gained attention for their potential to streamline assessment in higher education. However, their integration into university assessment practice poses challenges, particularly for teachers in computer science seeking to balance their workload while ensuring an adequate and fair assessment of students’ programming skills and knowledge. The present study focuses on individuals with expertise in developing, usi…
In search of artificial intelligence (AI) literacy in teacher education: A scoping review
Artificial Intelligence (AI) literacy has recently emerged on the educational agenda raising expectations on teachers’ and teacher educators’ professional knowledge. This scoping review examines how the scientific literature conceptualises AI literacy in relation to teachers’ different forms of professional knowledge relevant for Teacher Education (TE). The search strategy included papers and proceedings from 2000- to 2023 related to AI literacy …
Hello GPT! Goodbye home examination? An exploratory study of AI chatbots impact on university teachers’ assessment practices
AI chatbots have recently fuelled debate regarding education practices in higher education institutions worldwide. Focusing on Generative AI and ChatGPT in particular, our study examines how AI chatbots impact university teachers’ assessment practices, exploring teachers’ perceptions about how ChatGPT performs in response to home examination prompts in undergraduate contexts. University teachers (n = 24) from four different departments in humanit…
Safeguarding fairness in assessments—How teachers develop joint practices
What’s in a Grade? Teacher Candidates’ Experiences of Grading in Higher Education: A Phenomenographic Study
This study explores teacher candidates’ experiences of grading in higher education. A phenomenographic approach was adopted and four qualitatively different categories were identified. Grading was experienced as: self-identification, motivation, personal interpretation and academic enculturation. The results indicate that teacher candidates accept existing grading systems but have difficulty interpreting and explaining them, illustrating areas of…
Beyond brick and mortar: Staying connected in post‐pandemic blended learning environments
The authors reflect on how students’ perception of belongingness is central to their learning and how a Sense of Community needs to be encouraged, shaped and continuously sustained
Twelve tips for conducting qualitative research interviews
The qualitative research interview is an important data collection tool for a variety of methods used within the broad spectrum of medical education research. However, many medical teachers and life science researchers undergo a steep learning curve when they first encounter qualitative interviews, both in terms of new theory but also regarding new methods of inquiry and data collection. This article introduces the concept of qualitative research…
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Twelve tips for conducting qualitative research interviews
The qualitative research interview is an important data collection tool for a variety of methods used within the broad spectrum of medical education research. However, many medical teachers and life science researchers undergo a steep learning curve when they first encounter qualitative interviews, both in terms of new theory but also regarding new methods of inquiry and data collection. This article introduces the concept of qualitative research…
What’s in a Grade? Teacher Candidates’ Experiences of Grading in Higher Education: A Phenomenographic Study
This study explores teacher candidates’ experiences of grading in higher education. A phenomenographic approach was adopted and four qualitatively different categories were identified. Grading was experienced as: self-identification, motivation, personal interpretation and academic enculturation. The results indicate that teacher candidates accept existing grading systems but have difficulty interpreting and explaining them, illustrating areas of…
Beyond brick and mortar: Staying connected in post‐pandemic blended learning environments
The authors reflect on how students’ perception of belongingness is central to their learning and how a Sense of Community needs to be encouraged, shaped and continuously sustained
Safeguarding fairness in assessments—How teachers develop joint practices
In search of artificial intelligence (AI) literacy in teacher education: A scoping review
Artificial Intelligence (AI) literacy has recently emerged on the educational agenda raising expectations on teachers’ and teacher educators’ professional knowledge. This scoping review examines how the scientific literature conceptualises AI literacy in relation to teachers’ different forms of professional knowledge relevant for Teacher Education (TE). The search strategy included papers and proceedings from 2000- to 2023 related to AI literacy …
Hello GPT! Goodbye home examination? An exploratory study of AI chatbots impact on university teachers’ assessment practices
AI chatbots have recently fuelled debate regarding education practices in higher education institutions worldwide. Focusing on Generative AI and ChatGPT in particular, our study examines how AI chatbots impact university teachers’ assessment practices, exploring teachers’ perceptions about how ChatGPT performs in response to home examination prompts in undergraduate contexts. University teachers (n = 24) from four different departments in humanit…
What is the problem with generative artificial intelligence in higher education? – a critical analysis of educator responsibility in the Swedish policy landscape
The widespread integration of Generative AI (GenAI) tools in higher education has compelled universities to develop policies for responsible GenAI use. As educators play a pivotal role in enacting policy in teaching and assessment practices, we conducted a policy study to critically examine how educator responsibility is articulated in this evolving landscape. Approaching policy discursively, we drew on Bacchi’s what’s-the-problem-represented-to-…
Teaching with the algorithm: Anticipations of AI in teacher education
Education and teacher practices are increasingly entangled with anticipations of how Artificial Intelligence (AI) will change education. Implications for teacher education are not wholly understood. This study explores anticipations of AI in K–12 education and teachers’ pedagogical practices, and contributes to an understanding of the anticipated impacts of AI on teacher education. Interviews were conducted with experts in computer science and te…
Twelve tips on finding a research orientation: A practical guide for the novice researcher
Health professions education (HPE) research has developed into a robust scientific field, embracing a variety of methodological approaches. Although not always explicitly stated, research inquiries are underpinned by a research orientation; philosophical assumptions that guide the way in which research is designed, conducted, reported and evaluated. In a field as diverse as ours, novice researchers may find it challenging to orient themselves in …
Generative AI chatbots in higher education: A review of an emerging research area
Artificial intelligence (AI) chatbots trained on large language models are an example of generative AI which brings promises and threats to the higher education sector. In this study, we examine the emerging research area of AI chatbots in higher education (HE), focusing specifically on empirical studies conducted since the release of ChatGPT. Our review includes 23 research articles published between December 2022 and December 2023 exploring the…
Navigating uncertainty: University teachers’ experiences and perceptions of generative artificial intelligence in teaching and learning
The emergence of generative artificial intelligence (GAI) has given rise to diverse narratives about its transformative potential in higher education. Despite widespread speculation about how GAI might change teaching and learning, there is a significant gap in understanding how GAI artefacts are perceived in educational practices, particularly from the perspective of university teachers. This study investigates how GAI mediates teachers’ practic…
Promises and breakages of automated grading systems: A qualitative study in computer science education
Automated grading systems (AGSs) have gained attention for their potential to streamline assessment in higher education. However, their integration into university assessment practice poses challenges, particularly for teachers in computer science seeking to balance their workload while ensuring an adequate and fair assessment of students’ programming skills and knowledge. The present study focuses on individuals with expertise in developing, usi…
When I say … informed consent
Through the latest instalment of “When I Say...” the authors offer strategy for being better informed about informed consent
Psychology (12 works) · Computer Science (8 works) · Pedagogy (7 works) · Mathematics education (6 works) · Medical education (6 works) · Medicine (6 works) · Sociology (6 works) · Higher education (5 works) · Online Learning and Analytics (5 works) · Political science (5 works)