Essay Collection

Read about instructors' approaches to teaching quantitative skills and reasoning through these community-contributed essays.


Results 1 - 10 of 29 matches

The Importance of Teaching Quantitative Reasoning in Higher Education
Desiree Lonon, Savannah State University
An educational essay page discussing the significance of teaching quantitative reasoning (QR) in higher education, emphasizing its role in developing critical thinking and problem-solving skills through real-world data, with examples from chemistry education and student engagement strategies. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

My Efforts, Ideas and Goals with Quantitative Reasoning and Data
Anita Ho, Flathead Valley Community College
This essay page details a community college instructor's reflections on integrating quantitative reasoning and real-world data into geoscience and geography education, outlining current practices, teaching challenges, learning goals, and future plans for using public datasets from sources like NASA and Gapminder within the context of an EDDIE workshop on data-driven instruction. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Competence and confidence and student success
Kay Bjornen, Oklahoma State University-Main Campus
An educational essay page from the Project EDDIE collection discussing how the interplay between mathematical competence and student confidence impacts success in chemistry education, emphasizing hands-on labs and real-world data analysis to break negative feedback loops and enhance quantitative reasoning skills. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Non-science majors and teaching (with) data
Mathieu Richaud, California State University-Fresno
An essay page from the Project EDDIE collection discussing challenges and strategies in teaching quantitative reasoning with data to non-science majors in marine science, emphasizing barriers like math preparedness and engagement, and reflecting on scaffolded data activities in oceanography education. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Engaging Students in the Analysis and Interpretation of Seismic Data
Tammy Bravo, EarthScope
This webpage is an essay from the Project EDDIE collection discussing strategies for engaging students in seismic data analysis using tools like the IRIS Earthquake Browser and jAmaSeis, emphasizing real-time data integration in geoscience education to enhance quantitative reasoning and conceptual understanding. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Improving quantitative and computational skills in under-graduate bioscience education
Tom Andersen, University of Oslo, Norway
This webpage is an essay detailing curriculum reforms at the University of Oslo’s Department of Biosciences to integrate quantitative and computational skills across undergraduate biology programs, emphasizing embedded skill development, challenges in faculty capacity and student preparedness, and lessons learned from shifting from standalone courses to a cross-cutting educational approach. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Quantitative reasoning skills in laboratory courses
Kabindra Shakya, Villanova University
This webpage is an essay from the Project EDDIE collection discussing the integration of quantitative reasoning (QR) and critical thinking in environmental science laboratory courses, emphasizing active learning, data analysis using public databases, and QR assessment techniques. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

EDDIE Pre-workshop Essay for: Teaching Quantitative Reasoning with Data
Mary Beth Kolozsvary, Siena College
An educational essay page from the Project EDDIE collection discussing challenges in teaching quantitative reasoning with data, focusing on student math anxiety, mixed skill levels in environmental science courses, and collaborative learning strategies, authored by Mary Beth Kolozsvary as part of a pre-workshop contribution. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Original discovery in the learning process: Is it worth the effort?
Les Hasbargen, SUNY College at Oneonta
An educational essay page from the Project EDDIE collection discussing the pedagogical value of original discovery in data-driven learning, authored by geoscience educator Les Hasbargen, covering teaching quantitative reasoning with real-world datasets, student skill development, and challenges in engaging non-specialists. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Helping students develop quantitative reasoning skills via classroom engagement with data
Joseph Zume, Shippensburg University of Pennsylvania
An essay page from the Project EDDIE collection that details strategies for teaching quantitative reasoning through data engagement in geoscience courses, featuring classroom practices in meteorology, hydrology, and geophysical imaging, with downloadable resources and context from a workshop on educational methods. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.