Papers by Elizabeth Romero
The New Futuro College Plan: Facilitating College Access
Journal of Applied Research on Children, 2012
Mobile, Hybrid, and On- …, Jan 1, 2009
This study examine faculty levels of implementation of web-based instructional technology (WBIT) ... more This study examine faculty levels of implementation of web-based instructional technology (WBIT) and computer self-efficacy beliefs (CSE) as factors associated to faculty perception of institutional mechanisms and its relative importance as conditions supporting the implementation of elearning in higher education. Using a sample of 334 faculty teaching at selected universities in the Commonwealth of Kentucky, faculty perceptions of support mechanisms were examined. Findings reveal that factors such as stages of concern about using WBIT, levels of use, and measures of computer self-efficacy provide an explanation of the perception differences. Developing a profile of faculty WBIT use and self-efficacy beliefs is anticipated to provide insight for the development of strategies and administrative practices necessary for eLearning to succeed in higher education institutions.
The Effectiveness of Personalization in Delivering E-learning Classes
Advances in Computer- …, Jan 1, 2009
Abstract In this paper we present an evaluation methodology of personalized delivery of multimedi... more Abstract In this paper we present an evaluation methodology of personalized delivery of multimedia resources in an e-learning platform that takes advantage of Web 2.0 technologies and its standards, such as (i) streaming using RSS and Atom feeds,(ii) ...
Read & Write Gold: Technology Increasing Student Achievement
KENTUCKY …, Jan 1, 2008
Advances in Computer- …, Jan 1, 2010
One of the first Multi-Language Information Retrieval (MLIR) systems was implemented in 1969 by G... more One of the first Multi-Language Information Retrieval (MLIR) systems was implemented in 1969 by Gerard Salton who enhanced his SMART system to retrieve multilingual documents in two languages, English and German. However, the research field of MLIR is still struggling since the majority of information retrieval systems are monolingual and more precisely English-based, even though only 6% of the world's population native language have as English . This paper presents a Multi-Language Information Retrieval (MLIR) approach that falls into the area of Domain Specific Information Retrieval (E-learning being the domain). The approach we followed is a synergistic approach between (1) Thesaurus-based Approach and (2) Corpusbased Approach. This research has been implemented on a real platform called HyperManyMedia 1 at Western Kentucky University.
Implementing Technology: A Change Process.
Online Submission, Jan 1, 2008
The state of Kentucky has embarked upon a large scale systems change effort to integrate Universa... more The state of Kentucky has embarked upon a large scale systems change effort to integrate Universal Design for Learning (UDL) principles, including use of digital curriculum and computerized reading supports to improve overall student achievement. A major component of this initiative is ...
International Journal of …, Jan 1, 2009
… of the 2009 IEEE/WIC/ACM …, Jan 1, 2009
This paper introduces a multi-model ontology-based framework for semantic search of educational c... more This paper introduces a multi-model ontology-based framework for semantic search of educational content in Elearning repository of courses, lectures, multimedia resources, etc. This hybrid recommender system is driven by two types of recommendations: content-based (domain ontology model) and rule-based (learner's interest-based and cluster-based). The domain ontology is used to represent the learning materials. In this context, the ontology is composed by a hierarchy of concepts and sub-concepts. Whereas, the learner's ontology model represents a subset of the domain ontology, and the cluster-based recommendations are added as additional semantic recommendations to the model. Combining the content-based with the rule-based provides the user with hybrid recommendations. All of them influenced the re-ranking of the retrieved documents with different weights. Our proposed approach has been implemented on the HyperManyMedia 1 platform.
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Papers by Elizabeth Romero