Education Commons^™

Solving Geospatial Problems Under Extreme Time Constraints: A Call For Inclusive Geocomputational Education, Coline C. Dony

I-GUIDE Forum

To prepare our next generation to face geospatial problems that have extreme time constraints (e.g., disasters, climate change) we need to create educational pathways that help students develop their geocomputational thinking skills. First, educators are central in helping us create those pathways, therefore, we need to clearly convey to them why and in which contexts this thinking is necessary. For that purpose, a new definition for geocomputational thinking is suggested that makes it clear that this thinking is needed for geospatial problems that have extreme time constraints. Secondly, we can not further burden educators with more demands, rather we should …

I-Guide Climbers: A Model For Multidisciplinary Academic Labs For Early Career Development, Iman Haqiqi, Wei Hu, Ramya Kumaran, Pin-Ching Li, Nicholas Manning, Alex Michels, Ayman Nassar, Jinwoo Park, Jimeng Shi, Adam Tonks, Zhaonan Wang

I-GUIDE Forum

In this paper, we propose a new form of multidisciplinary academic collaboration that goes beyond the traditional modes of knowledge exchange. We argue that most research collaboration today is based on interactions between closely related disciplines, in which researchers share data, methods, and insights within a common framework or problem. However, such collaboration may not foster the development of the communication and management skills essential to a multi-disciplinary research career. Therefore, we suggest establishing a network of researchers from divergent, yet complementary, disciplines who are interested in improving these skills through regular interactions and feedback. The main goal of this …

Housing Diversity In Children’S Literature, Carla Earhart

Charleston Library Conference

Previous studies have examined diversity in children’s literature: Gender diversity, racial diversity, religious diversity, and diversity in family composition. This project examines an often overlooked diversity issue in children’s literature: Housing diversity. In the stories they read and the accompanying images, children need to see a variety of housing environments and need to see the settings and the people portrayed in a positive manner.

Renting an apartment is an increasingly popular housing option for many families. However, many children’s books glamorize living in a traditional house. Using a rubric designed by the course instructor, students in a university immersive learning …

How To Enhance Interdisciplinary Competence—Interdisciplinary Problem-Based Learning Versus Interdisciplinary Project-Based Learning, Mirjam Brassler, Jan Dettmers

Interdisciplinary Journal of Problem-Based Learning

Interdisciplinary competence is important in academia for both employability and sustainable development. However, to date, there are no specific interdisciplinary education models and, naturally, no empirical studies to assess them. Since problem-based learning (PBL) and project-based learning (PjBL) are learning approaches that emphasize students’ collaboration, both pedagogies seem suitable to enhance students’ interdisciplinary competence. Based on the principle of constructive alignment and four instructional principles on interdisciplinary learning, this paper proposes that students profit more from interdisciplinary PBL (iPBL) than interdisciplinary PjBL (iPjBL). A pre-post study was conducted with a sample of 95 students participating in iPBL and 183 students …

The Role Of Interdisciplinary Gis And Data Curation Librarians In Enhancing Authentic Scientific Research In The Classroom, Benjamin D. Branch, Michael Fosmire

Libraries Faculty and Staff Presentations

Data science is a recently evolved area of scientific inquiry, where data, often collected by others, is analyzed by independent investigators to draw new conclusions. As such, data literacy needs to be incorporated into authentic research activities. The earth sciences in particular have a trove of data that resides in national data centers as well as individual investigators’ labs, which can be repurposed to provide the inputs for students to make their own inquiries into the data. With the amount of data available, students can make more substantive conclusions than if relying just on data they’ve collected themselves.