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Filtering by: Creator L’Heureux, K. Decade 2020-2029

Learning to Teach Science from a Contextualized Stance

Creator:

L’Heureux, K., Giamellaro, M., Beaudry, M-C., Buxton, C., Ayotte-Beaudet, J-P., and Alajmi, T.

Abstract:

Contextualization is a curricular approach and a learning process in which science content knowledge is intentionally situated within a context where that knowledge can be authentically applied or observed. Many recent science education reforms include contextualization as a central tenet. Our goal in this review was to examine commonalities across...

Resource Type:

Conference Proceeding

Full Text:

Learning to Teach Science from a Contextualized Stance L’Heureux1, K., Giamellaro2*, M., Beaudry1, M-C
Innovating Feature Selection in Data Science

Creator:

Rubocki, Nikita

Abstract:

Data science is a rapidly growing industry permeating throughout every aspect of society. Everything collects data these days, and people use this data to find meaningful patterns leading to benefits ranging from more intuitive marketing to better cancer detection. However, increased data collection also leads to increased complexity, and data...

Resource Type:

Honors College Thesis

Full Text:

://spectrum.ieee.org/deep-learning-computational-cost (accessed Feb. 07, 2022). [14] A. L’Heureux, K. Grolinger, H
North Pacific Humpback Whales (Megaptera Novaeangliae) in Northern Southeast Alaska: Population Trends, Monitoring, and Management

Creator:

Thurber, Rhianna L.

Abstract:

After the commercial exploitation of humpback whales (Megaptera Novaeangliae) ceased, population trends in the North Pacific increased with the implementation of federal protective legislation. The recovery of the population prompted the National Oceanic and Atmospheric Administration to divide the population into 14 Distinct Population Segments (DPSs) based on discrete geographic...

Resource Type:

Masters Thesis