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

This paper’s intent is to explore the environmental gap analysis tool, Life Cycle Assessment (LCA), as it pertains to the decision-making process.

As LCA is more frequently utilized as a measurement of environmental impact, it is prudent
to understand the historical and potential impact that LCA has had or can have on

This paper’s intent is to explore the environmental gap analysis tool, Life Cycle Assessment (LCA), as it pertains to the decision-making process.

As LCA is more frequently utilized as a measurement of environmental impact, it is prudent
to understand the historical and potential impact that LCA has had or can have on its inclusion in public policy domain - specifically as it intersects the anticipatory governance framework and the supporting decision-making precautionary principle framework. For that purpose, LCA will be examined in partnership with the Precautionary Principle in order to establish practical
application.

LCA and Precautionary Principle have been used together in multiple functions. In two
case studies, the California Green Chemistry Initiative and in Nanotechnology uncertainty, there is a notion that these practices can create value for one another when addressing complex issues.

The recommendations presented in this paper are ones that recognize the current
dynamics of the LCA field along with the different sectors of decision makers. For effective
catalytic initiatives, adoptions of these recommendations are best initially leveraged by
government entities to lead by example. The proposed recommendations are summarized into
the following categories and explored in further detail later in the paper:
       1. Improvement in data sharing capabilities for LCA purposes.
       2. Common consensus on standards and technical aspects of LCA structure.
       3. Increased investment of resource allocation for LCA use and development.

Created2013-05