Conference proceeding
An initial comparison of the learning propensities of 10 through 12 students for data analytics education
2013 IEEE Frontiers in Education Conference (FIE), pp 916-918
Oct 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The main focus of this ongoing effort is to compare the learning propensities of 10 through 12 students for data analytics education. Towards this end, a Microsoft Excel based university-level environmental engineering module was taught in a high school classroom with students in grades 10 through 12. The module focused on understanding the current trends and challenges in environmental pollution management and policy. Students were required to procure, analyze, and visualize data in order to propose an environmental policy that was aimed at reducing pollution. Initial data collected from the assessment of the student work alludes to the fact that despite being taught the same material by the same professor and teaching assistant, the success of the students, as measured by their final grades, varies substantially with their academic year. The underclassmen in high school did not display the academic maturity and comprehension that was displayed by the high school seniors. On the other hand, seniors demonstrated a strong propensity to learn and perform well.
Metrics
Details
- Title
- An initial comparison of the learning propensities of 10 through 12 students for data analytics education
- Creators
- Jamie Kennedy - Drexel UniversityPramod Abichandani - Drexel UniversityAdam Fontecchio - Drexel UniversityIEEE
- Publication Details
- 2013 IEEE Frontiers in Education Conference (FIE), pp 916-918
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Center for the Advancement of STEM Teaching and Learning Excellence (CASTLE); Electrical and Computer Engineering
- Web of Science ID
- WOS:000330839100190
- Scopus ID
- 2-s2.0-84893330239
- Other Identifier
- 991019170357804721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Education, Scientific Disciplines
- Engineering, Electrical & Electronic