Translating
Expertise Into Effective Instruction: The Impacts Of Cognitive Task Analysis (Cta) On Lab
Report Quality And Student Retention In The Biological Sciences,
2010
Utah State University
Translating Expertise Into Effective Instruction: The Impacts Of Cognitive Task Analysis (Cta) On Lab Report Quality And Student Retention In The Biological Sciences, David F. Feldon, Briana Crotwell Timmerman, Krik A. Stowe, Richard Showman
Instructional Technology and Learning Sciences Faculty Publications
Poor instruction has been cited as a primary cause of attrition from STEM majors and a major obstacle to learning for those who stay [Seymour and Hewitt [1997]. Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview]. Using a double-blind design, this study tests the hypothesis that the lack of explicit instructions in scientific inquiry skills is a major factor in both low STEM retention and academic underperformance. This project delivered supplemental instruction to students in a laboratory-based undergraduate biology course (n = 314) that was derived either from cognitive task analyses (CTAs) conducted with expert biologists (treatment) …
Technik Und Machenschaft Bei Martin Heidegger Und Günther Anders. Mit Einigen Bemerkungen Zu Ray Kurzweils Urknall,
2010
Fordham University
Technik Und Machenschaft Bei Martin Heidegger Und Günther Anders. Mit Einigen Bemerkungen Zu Ray Kurzweils Urknall, Babette Babich
Working Papers
No abstract provided.
Flexible Bootstrapping-Based Ontology Alignment,
2010
Wright State University - Main Campus
Flexible Bootstrapping-Based Ontology Alignment, Prateek Jain, Pascal Hitzler, Amit P. Sheth
Kno.e.sis Publications
BLOOMS (Jain et al, ISWC2010) is an ontology alignment system which, in its core, utilizes the Wikipedia category hierarchy for establishing alignments. In this paper, we present a Plug-and-Play extension to BLOOMS, which allows to flexibly replace or complement the use of Wikipedia by other online or offline resources, including domain-specific ontologies or taxonomies. By making use of automated translation services and of Wikipedia in languages other than English, it makes it possible to apply BLOOMS to alignment tasks where the input ontologies are written in different languages.
Ontology Alignment For Linked Open Data,
2010
Wright State University - Main Campus
Ontology Alignment For Linked Open Data, Prateek Jain, Pascal Hitzler, Amit P. Sheth, Kunal Verma, Peter Z. Yeh
Kno.e.sis Publications
The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision. However, the development of applications based on LOD faces difficulties due to the fact that the different LOD datasets are rather loosely connected pieces of information. In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored. In this paper, we therefore present a system for finding schema-level links between LOD datasets in the sense of ontology alignment. Our system, called BLOOMS, is based on the …
A Taxonomy-Based Model For Expertise Extrapolation,
2010
Wright State University - Main Campus
A Taxonomy-Based Model For Expertise Extrapolation, Delroy H. Cameron, Boanerges Aleman-Meza, Ismailcem Budak Arpinar, Sheron L. Decker, Amit P. Sheth
Kno.e.sis Publications
While many ExpertFinder applications succeed in finding experts, their techniques are not always designed to capture the various levels at which expertise can be expressed. Indeed, expertise can be inferred from relationships between topics and subtopics in a taxonomy. The conventional wisdom is that expertise in subtopics is also indicative of expertise in higher level topics as well. The enrichment of Expertise Profiles for finding experts can therefore be facilitated by taking domain hierarchies into account. We present a novel semantics-based model for finding experts, expertise levels and collaboration levels in a peer review context, such as composing a Program …
Faculty Success: Developing A Research And Publication Agenda,
2010
University of South Florida
Faculty Success: Developing A Research And Publication Agenda, Kathleen P. King
Department of Leadership, Policy, and Lifelong Learning
Anyone associated with higher education will acknowledge that tenure track faculty have to perform a fantastic balancing act. Compared to an administrative or line role in an organization, higher education faculty have tremendous autonomy and freedom. However, they face competing demands of many different (and good) opportunities, and for them the stakes are always high. Help is here! This article introduces a powerful strategy for staying on track in the research strand of this competitive journey.
Ranking Documents Semantically Using Ontological Relationships,
2010
Wright State University - Main Campus
Ranking Documents Semantically Using Ontological Relationships, Boanerges Aleman-Meza, I. Budak Arpinar, Mustafa V. Nural, Amit P. Sheth
Kno.e.sis Publications
Although arguable success of today’s keyword based search engines in certain information retrieval tasks, ranking search results in a meaningful way remains an open problem. In this work, the goal is to use of semantic relationships for ranking documents without relying on the existence of any specific structure in a document or links between documents. Instead, real-world entities are identified and the relevance of documents is determined using relationships that are known to exist between the entities in a populated ontology. We introduce a measure of relevance that is based on traversal and the semantics of relationships that link entities …
Assessing The Health Of Army Laboratories: Funding For Basic Research And Laboratory Capital Equipment,
2010
Center for Technology and National Security Policy, National Defense University
Assessing The Health Of Army Laboratories: Funding For Basic Research And Laboratory Capital Equipment, John W. Lyons, Richard Chait
Defense and Technology Papers
In this paper, the authors respond to requests from the office of the Army S&T Executive to address the adequacy of the funding provided to equipment and basic research in an effective S&T laboratory.
Pattern Space Maintenance For Data Updates And Interactive Mining,
2010
Wright State University - Main Campus
Pattern Space Maintenance For Data Updates And Interactive Mining, Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong
Kno.e.sis Publications
This article addresses the incremental and decremental maintenance of the frequent pattern space. We conduct an in-depth investigation on how the frequent pattern space evolves under both incremental and decremental updates. Based on the evolution analysis, a new data structure, Generator-Enumeration Tree (GE-tree), is developed to facilitate the maintenance of the frequent pattern space. With the concept of GE-tree, we propose two novel algorithms, Pattern Space Maintainer+ (PSM+) and Pattern Space Maintainer− (PSM−), for the incremental and decremental maintenance of frequent patterns. Experimental results demonstrate that the proposed algorithms, on average, outperform the representative state-of-the-art …
Cross-Market Model Adaptation With Pairwise Preference Data For Web Search Ranking,
2010
Wright State University - Main Campus
Cross-Market Model Adaptation With Pairwise Preference Data For Web Search Ranking, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen
Kno.e.sis Publications
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibility required of a commercial web search. However, manually labeled training data (with multiple absolute grades) has become the bottleneck for training a quality ranking function, particularly for a new domain. In this paper, we explore the adaptation of machine-learned ranking models across a set of geographically diverse markets with the market-specific pairwise preference data, which can be easily obtained from clickthrough logs. We propose a novel adaptation algorithm, Pairwise-Trada, which is able to adapt ranking models that are trained …
A Call For Performance-Based Data
In The Study Of Stem Ph.D. Education,
2010
Utah State University
A Call For Performance-Based Data In The Study Of Stem Ph.D. Education, David F. Feldon, Michelle A. Maher, Briana E. Timmerman
Instructional Technology and Learning Sciences Faculty Publications
Understanding the scholarly development of Ph.D. students in science, technology, engineering, and mathematics (STEM) is vital to the preparation of the scientific workforce. During doctoral study, students learn to be professional scientists and acquire the competencies to succeed in those roles. However, this complex process is not well studied. Research to date suffers from overreliance on a narrow range of methods that cannot provide data appropriate for addressing questions of causality or effectiveness of specific practices in doctoral education. We advocate a shift in focus from student and instructor self-report toward the use of actual performance data as a remedy …
10302 Summary - Learning Paradigms In Dynamic Environments,
2010
Wright State University - Main Campus
10302 Summary - Learning Paradigms In Dynamic Environments, Barbara Hammer, Pascal Hitzler
Computer Science and Engineering Faculty Publications
The seminar centered around problems which arise in the context of machine learning in dynamic environments. Particular emphasis was put on a couple of specific questions in this context: how to represent and abstract knowledge appropriately to shape the problem of learning in a partially unknown and complex environment and how to combine statistical inference and abstract symbolic representations; how to infer from few data and how to deal with non i.i.d. data, model revision and life-long learning; how to come up with efficient strategies to control realistic environments for which exploration is costly, the dimensionality is high and data …
Trust Model For Semantic Sensor And Social Networks: A Preliminary Report,
2010
Wright State University - Main Campus
Trust Model For Semantic Sensor And Social Networks: A Preliminary Report, Pramod Anantharam, Cory Andrew Henson, Krishnaprasad Thirunarayan, Amit P. Sheth
Kno.e.sis Publications
Trust is an amorphous concept that is becoming Increasingly important in many domains, such as P2P networks, E-commerce, social networks, and sensor networks. While we all have an intuitive notion of trust, the literature is scattered with a wide assortment of differing definitions and descriptions; often these descriptions are highly dependent on a single domain or application of interest. In addition, they often discuss orthogonal aspects of trust while continuing to use the general term “trust”. In order to make sense of the situation, we have developed an ontology of trust that integrates and relates its various aspects into a …
Sit-To-Stand Detection Using Fuzzy Clustering Techniques,
2010
Wright State University - Main Campus
Sit-To-Stand Detection Using Fuzzy Clustering Techniques, Tanvi Banerjee, James M. Keller, Marjorie Skubic, Carmen Abbott
Kno.e.sis Publications
The ability to rise from a chair is an important parameter to assess the balance deficits of a person. In particular, this can be an indication of risk for falling in elderly persons. Our goal is automated assessment of fall risk using video data. Towards this goal, we present a simple yet effective method of detecting transition, i.e. sit-to-stand and stand-to-sit, from image frames using fuzzy clustering methods on image moments. The technique described in this paper is shown to be robust even in the presence of noise and has been tested on several data sequences using different subjects yielding …
Biomedical Ontologies For Parasite Research,
2010
Wright State University - Main Campus
Biomedical Ontologies For Parasite Research, Vinh Nguyen, Satya S. Sahoo, Priti Parikh, Todd Minning, Brent Weatherly, Flora Logan, Amit P. Sheth, Rick Tarleton
Kno.e.sis Publications
Trypanosoma cruzi is a protozoan parasite that causes Chagas disease or American trypanosomiasis, which is the leading cause of death in Latin America. The primary objective of this study is to create an ontology-driven information infrastructure to support parasite researchers in identifying gene knockout, vaccination, or drug targets for T. cruzi. This involves querying across multiple datasets from diverse sources, such as proteome, pathway, internal lab data, etc. that are often represented in heterogeneous formats. To address this, a multi-ontology parasite knowledge repository (PKR) is being created with an intuitive graphical query interface called Cuebee. The PKR is underpinned by …
Cloud Based Scientific Workflow For Nmr Data Analysis,
2010
Wright State University - Main Campus
Cloud Based Scientific Workflow For Nmr Data Analysis, Ashwin Manjunatha, Paul E. Anderson, Satya S. Sahoo, Ajith Harshana Ranabahu, Michael L. Raymer, Amit P. Sheth
Kno.e.sis Publications
This work presents a service oriented scientific workflow approach to NMR-based metabolomics data analysis. We demonstrate the effectiveness of this approach by implementing several common spectral processing techniques in the cloud using a parallel map-reduce framework, Hadoop.
Do Psychology Researchers Tell It Like It Is? A Microgenetic
Analysis Of Research Strategies And Self-Report Accuracy,
2010
Utah State University
Do Psychology Researchers Tell It Like It Is? A Microgenetic Analysis Of Research Strategies And Self-Report Accuracy, David F. Feldon
Instructional Technology and Learning Sciences Faculty Publications
Acquiring research skills is considered to be a highly challenging aspect of developing expertise in the social sciences. Because instruction and mentoring in these skills are typically grounded in the self-report of researchers, difficulties in learning the material may be due to the content and accuracy of these explanations. Using a mixed-method, microgenetic design, this study examines the explanations of problem-solving processes by researchers along a continuum of expertise during simulated experiment design and subsequent data analysis. Findings indicate that participants’ self-explanations are largely inaccurate. Further, frequency of inaccurate statements is positively associated with the frequency of abstract cognitive processes, …
How To Make Linked Data More Than Data,
2010
Wright State University - Main Campus
How To Make Linked Data More Than Data, Prateek Jain, Amit P. Sheth, Kunal Verma, Pascal Hitzler, Peter Z. Yeh
Kno.e.sis Publications
The LOD cloud has a potential for applicability in many AI-related tasks, such as open domain question answering, knowledge discovery, and the Semantic Web. An important prerequisite before the LOD cloud can enable these goals is allowing its users (and applications) to effectively pose queries to and retrieve answers from it. However, this prerequisite is still an open problem for the LOD cloud and has restricted it to 'merely more data.' To transform the LOD cloud from 'merely more data' to 'semantically linked data' there are plenty of open issues which should be addressed. We believe this transformation of the …
Semantically Annotated Restful Services For Large-Scale Metabolomics Data Analysis,
2010
Wright State University - Main Campus
Semantically Annotated Restful Services For Large-Scale Metabolomics Data Analysis, Ashwin Manjunatha, Paul E. Anderson, Satya S. Sahoo, Ajith H. Ranabahu, Michael L. Raymer, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.
What The 2000 U.S. Census Tells Us About The Kenyan Diaspora,
2010
Harvard University
What The 2000 U.S. Census Tells Us About The Kenyan Diaspora, Martin Mbaya, Paulsen Mrina, Michael J. Levin
Journal of Global Initiatives: Policy, Pedagogy, Perspective
The 2000 U.S. Decennial Census produced profiles of Kenya-born and other Africa-born immigrants for the first time. These tabulations provide useful information about the counts and demographic, social, economic, and housing characteristics of Kenyans living in the United States. This paper compares the characteristics of the East Africa born with the U.S. born, as well as with all U.S. Blacks. Overall, the data show a classic brain drain in the emigration from the East African community as people relocate and settle down in the United States. The East African diaspora represents a crucial cross section of Africa's top minds in …
