A collection of scholarly work published by and supporting the Center for Earth Systems Engineering and Management (CESEM) at Arizona State University.

CESEM focuses on "earth systems engineering and management," providing a basis for understanding, designing, and managing the complex integrated built/human/natural systems that increasingly characterize our planet.

Works in this collection are particularly important in linking engineering, technology, and sustainability, and are increasingly intertwined with the work of ASU's Global Institute of Sustainability (GIOS).

Collaborating Institutions:
School of Sustainable Engineering and the Built Environment (SSEBE), Center for Earth Systems Engineering and Management
Displaying 1 - 2 of 2
Filtering by

Clear all filters

Description

Essay scoring is a difficult and contentious business. The problem is exacerbated when there are no “right” answers for the essay prompts. This research developed a simple toolset for essay analysis by integrating a freely available Latent Dirichlet Allocation (LDA) implementation into a homegrown assessment assistant. The complexity of the

Essay scoring is a difficult and contentious business. The problem is exacerbated when there are no “right” answers for the essay prompts. This research developed a simple toolset for essay analysis by integrating a freely available Latent Dirichlet Allocation (LDA) implementation into a homegrown assessment assistant. The complexity of the essay assessment problem is demonstrated and illustrated with a representative collection of open-ended essays. This research also explores the use of “expert vectors” or “keyword essays” for maximizing the utility of LDA with small corpora. While, by itself, LDA appears insufficient for adequately scoring essays, it is quite capable of classifying responses to open-ended essay prompts and providing insight into the responses. This research also reports some trends that might be useful in scoring essays once more data is available. Some observations are made about these insights and a discussion of the use of LDA in qualitative assessment results in proposals that may assist other researchers in developing more complete essay assessment software.

Description

Here I plan to use CLCA to evaluate the environmental impact (and economy by using MFA??) by changing traditional crop to AVP1 GM crop. In this study I will compare wild type (WT) and AVP1 transgenic romaine lettuce (Lactuca sativa cv. conquistador). This is a study of P fertilizer being

Here I plan to use CLCA to evaluate the environmental impact (and economy by using MFA??) by changing traditional crop to AVP1 GM crop. In this study I will compare wild type (WT) and AVP1 transgenic romaine lettuce (Lactuca sativa cv. conquistador). This is a study of P fertilizer being applied on romaine lettuce from gate to grave and making a comparison between WT and AVP1 romaine lettuce. The system boundary would be commercial P fertilizers applied on all lettuce in the U.S. The lettuce includes head lettuce, leaf lettuce, and romaine lettuce. The amount of P fertilizers such as inorganic, organic, and imported, will be identified and quantified. The amount of nitrogen and potassium fertilizers will also be quantified along with P fertilizer. The amount of water will be compared between the two different lettuces as the AVP1 lettuce grows faster and the amount of days of watering would be fewer. Eutrophication will be assessed as well as N2O emission. As AVP1 lettuce has a bigger root system, I will try to quantify the extra amount of CO2 fixed into the soil via AVP1 lettuce. I will also try to project the impact of AVP1 lettuce on market price. The functional unit of LCA portion is kg usage of N and P2O5 per ton of lettuce and the functional unit of MFA is kg/ha.

Created2014-06-13