Patrick D. Hagge Source Confirmed
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Researcher
Arkansas Tech University
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Biography and Research Information
OverviewAI-generated summary
Patrick D. Hagge's research centers on educational methods and technology integration within geography and geographic information systems (GIS) coursework. He investigates the effectiveness of various pedagogical approaches, including virtual reality (VR) applications like 'Wooorld' for immersive learning and the use of 'Google Earth VR' in geography classrooms. Hagge also explores the incorporation of GIS into traditional lecture settings through student mapping assignments and examines the challenges and opportunities presented by AI in preventing academic dishonesty in GIS education.
His work also extends to understanding student perceptions and spatial cognition, as evidenced by studies on mental maps and preference mapping of Arkansas counties. Hagge has published on identifying countries on maps within a university geography context and has evaluated the 'HyFlex' teaching model for an introduction to GIS course. His scholarship metrics include an h-index of 4 with 85 total citations across 19 publications, with recent activity extending into 2025.
Metrics
- h-index: 4
- Publications: 19
- Citations: 85
Selected Publications
- AI and GIS Education: The Last Holdout Against AI Cheating (For Now) (2025) DOI
- To HyFlex or Not to HyFlex: Observations on Teaching Introduction to Geographic Information Systems in the HyFlex System (2024) DOI
- Metaverse in in the geography lecture classroom? Evaluating ‘group VR’ possibilities using the multiplayer ‘Wooorld’ VR app (2024) DOI
- The rise and stagnation of <i>Google Earth VR</i> : dashing the hopes of immersive geography classrooms? (2023) DOI
- Ranking Arkansas: Student-Surveyed Mental Maps and Preference Mapping of Arkansas Counties, 2018-2021 (2023) DOI
- GIS in the Non-GIS Classroom: Using Student Mapping Assignments to Incorporate GIS in Traditional Lecture Classes (2023) DOI
- Find It on a Map: Country Location Identification in a University Geography Classroom, 2016–2022 (2023) DOI
- Fusing machine learning with place-based survey methods: revisiting questions surrounding perceptual regions (2022) DOI
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