Morgan Macleod
Biographic Data
| ID | 3851520 |
|---|---|
| NAME | Morgan Macleod |
| GIVEN NAMES | Morgan |
| FAMILY NAME | Macleod |
| SIGNATURE | MACLEOD M |
| AFFILIATIONS | University of Ulster |
| ORCID | 0000-0003-2572-5414 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1939 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Methodological variation in studying staff and student perceptions of AI
Introduction In this paper, we compare methodological approaches for comparing student and staff perceptions, and ask: how much do these measures vary across different approaches? We focus on the case of AI perceptions, which are generally assessed via a single quantitative or qualitative measure, or with a mixed methods approach that compares two distinct data sources — e.g., a quantitative questionnaire with qualitative comments. Methods To com…
AI Across Borders
This study investigates students’ perceptions of Generative Artificial Intelligence (GenAI), with a focus on Higher Education institutions in Northern Ireland and India. We collect quantitative Likert ratings and qualitative comments from 1211 students on their awareness and perceptions of AI and investigate variations in attitudes toward AI across institutions and subject areas, as well as interactions between these variables with demographic va…
Semantics and syntax in Old English mood selection
A principled model of mood selection in Old English ( OE ) has long proved elusive. We analyse the distribution of the indicative and subjunctive in the OE Bede in light of the Latin original, the syntactic construction, and a semantic model of modality which classifies clauses according to whether the situation is represented as holding in the actual world or in a possible world. The choice of mood in the Latin and OE Bede differs enough to rule…
Modals, tense, and mood
A lack of consensus has existed regarding the interaction of English modals with categories such as tense, and individual modal forms can vary in the extent to which they make assertions regarding temporal reference. The present work attempts to provide a compositional semantic account of English modals by proposing that these forms may be inflected both for tense and for mood. The crosslinguistic status of inflectional moods such as the subjunct…
Discussion on the Final Report of the Departmental Committee on the Ordnance Survey
Discussion on the Final Report of the Departmental Committee on the Ordnance Survey
Modals, tense, and mood
A lack of consensus has existed regarding the interaction of English modals with categories such as tense, and individual modal forms can vary in the extent to which they make assertions regarding temporal reference. The present work attempts to provide a compositional semantic account of English modals by proposing that these forms may be inflected both for tense and for mood. The crosslinguistic status of inflectional moods such as the subjunct…
Semantics and syntax in Old English mood selection
A principled model of mood selection in Old English ( OE ) has long proved elusive. We analyse the distribution of the indicative and subjunctive in the OE Bede in light of the Latin original, the syntactic construction, and a semantic model of modality which classifies clauses according to whether the situation is represented as holding in the actual world or in a possible world. The choice of mood in the Latin and OE Bede differs enough to rule…
AI Across Borders
This study investigates students’ perceptions of Generative Artificial Intelligence (GenAI), with a focus on Higher Education institutions in Northern Ireland and India. We collect quantitative Likert ratings and qualitative comments from 1211 students on their awareness and perceptions of AI and investigate variations in attitudes toward AI across institutions and subject areas, as well as interactions between these variables with demographic va…
Methodological variation in studying staff and student perceptions of AI
Introduction In this paper, we compare methodological approaches for comparing student and staff perceptions, and ask: how much do these measures vary across different approaches? We focus on the case of AI perceptions, which are generally assessed via a single quantitative or qualitative measure, or with a mixed methods approach that compares two distinct data sources — e.g., a quantitative questionnaire with qualitative comments. Methods To com…
Psychology (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Ethics and Social Impacts of AI (2 works) · Linguistic Variation and Morphology (2 works) · Linguistics (2 works) · Modal verb (2 works) · Mood (2 works) · Philosophy (2 works) · Political science (2 works) · Social Psychology (2 works)