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8 Papers

Blended Learning Training for Mentors of STEM Team Competitions

Topics: Educating the Educators; Blended Learning; Mentoring and Tutoring; K-12 Students

Authors: Sharon Locke 1 , Susan Thomas 2 , Stephen Marlette 1 , Georgia Bracey 1 , Gary Mayer 1 , Jerry Weinberg 1 , Janet Holt 1 and Bradford White 1

Affiliations: 1 Southern Illinois University Edwardsville, United States , 2 Truman State University, United States

Digital Object Identifier: 10.5220/0005487003310337

Proceedings of CSEDU 2015, ISBN: 978-989-758-108-3

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This paper describes the findings of a research study of a blended-learning approach to train mentors of teams in the Botball® Educational Robotics Program. Botball is an international team-based robotics competition for secondary students designed to build skills in computer programming, robotics, teamwork, and problem solving. For this study, we recruited new teams comprising 8-10 middle school students per team and a mentor. Teams were randomly assigned to one of three treatment groups or a control group. Mentors of teams in the experimental groups received training in one of three types of mentor practices: best practices, mentoring for self-efficacy, or a combination of best practices and self-efficacy. The training format consisted of web-based self-paced tutorials, a face-to-face workshop, and webinars. Dependent variables were student post-test scores on three assessments: Efficacy for Science-Related Jobs, STEM Achievement-Related Choices, and STEM Self-Efficacy. A priori statistical analyses showed no difference between the groups; however, post hoc analyses showed that the use of self-efficacy techniques was positively related to the three dependent measures. Post-competition surveys of mentor practices indicated that students in the treatment groups did not appear to receive distinctly different treatments, revealing some of the potential challenges of the blended learning approach for professional development of teachermentors.
Collapse Button Related Ontology Subjects/Areas/Topics (7)
Blended Learning

K-12 Students

Mentoring and Tutoring

Computer-Supported Education

Learning/Teaching Methodologies and Assessment

Social Context and Learning Environments
Educating the Educators

Implementation and Analysis of Dutch-style Sealed-bid Auctions - Computational vs Unconditional Security

Topics: Security Frameworks, Architectures and Protocols; Cryptographic Algorithms; Security Architecture and Design Analysis; Privacy Enhancing Technologies

Authors: Sriram Krishnamachari 1 , Mehrdad Nojoumian 1 and Kemal Akkaya 2

Affiliations: 1 Southern Illinois University, United States , 2 Florida International University, United States

Digital Object Identifier: 10.5220/0005258501060113

Proceedings of ICISSP 2015, ISBN: 978-989-758-081-9

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Designing a sealed-bid auction protocol is a challenging problem in the field of applied cryptography. In the last couple of decades, numerous protocols have been proposed in the literature where each one has its own property in terms of the security model, communication and computation complexities. To the best of our knowledge, there has been no study to implement and compare a similar class of sealed-bid auction protocols. This paper therefore implements and evaluates five different Dutch-style sealed-bid auction protocols, of which three protocols are computationally secure and two protocols are unconditionally secure. It mainly focuses on the computational cost of the initialization and verification phases of these privacy-preserving protocols.
Collapse Button Related Ontology Subjects/Areas/Topics (2)
Information and Systems Security

Privacy Enhancing Technologies

Understanding Factors Influencing Teachers' Use of Technologies in Teaching STEM

Topic: Educating the Educators

Authors: Georgia L. Bracey and Mary L. Stephen

Affiliation: Southern Illinois University Edwardsville, United States

Digital Object Identifier: 10.5220/0005493101270138

Proceedings of CSEDU 2015, ISBN: 978-989-758-108-3

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Teachers’ adoption of technology continues to be challenging; yet, this is a critical process in the effective teaching of science, technology, engineering, and mathematics (STEM). Although more schools are providing technology-rich classrooms, teachers are not always incorporating the new technologies into their teaching practice in a meaningful way. In this three-year case study, we used a grounded theory approach to examine the experiences of two high school teachers working in a depressed urban setting as they began using a newly designed, innovative, high-tech STEM classroom. Data sources included semi-structured interviews and direct observation. We identified three themes related to technology use: personal learning preference, teaching philosophy, and perception of technology. We discuss these themes, highlighting examples from participants’ experiences and beliefs, as well as other factors impacting technology use that emerged during the study. These results will be of value to those supporting teachers’ integration of technology into their teaching practice.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Computer-Supported Education

Educating the Educators

Learning/Teaching Methodologies and Assessment

Developing Web-based Tutorial Modules to Support Training for Group-based Mentoring

Topics: Educating the Educators; Blended Learning; Mentoring and Tutoring

Authors: Sharon Locke , Georgia Bracey and Stephen Marlette

Affiliation: Southern Illinois University Edwardsville, United States

Digital Object Identifier: 10.5220/0004847901920196

Proceedings of CSEDU 2014, ISBN: 978-989-758-021-5

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This paper describes the development and implementation of a series of interactive online modules that serve as the core component of a mentor training program for middle school teachers in the Botball® Educational Robotics Program. Botball is an international team-based robotics competition for secondary students. Over the course of a season, students work together to design, build, and program a robot that will meet a particular challenge. Teachers play a critical role in this process as team mentors, but there is currently no mentor training available that is easily accessible to teachers in a variety of geographic locations. To meet this need, and as part of a larger research study, three STEM educators at a US Midwestern university created five Web-based modules designed to introduce users to the fundamentals of group mentoring. These research-based tutorials provide on-demand distance training that is engaging and reflective. We will discuss formative evaluation of the training gleaned from responses to open-ended survey questions given to the initial group of 33 teachers who piloted the modules as well as from interactive webinars offered throughout the training.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Blended Learning

Educating the Educators

Mentoring and Tutoring
Computer-Supported Education

Learning/Teaching Methodologies and Assessment

Using a Participatory Design Approach to Create and Sustain an Innovative Technology-rich STEM Classroom - One School's Story

Topics: Cooperation with Industry in Teaching; K-12 Students

Authors: Mary L. Stephen , Sharon M. Locke and Georgia L. Bracey

Affiliation: Southern Illinois University, United States

Digital Object Identifier: 10.5220/0004849900300038

Proceedings of CSEDU 2014, ISBN: 978-989-758-022-2

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This paper describes the design and implementation of a technology-rich STEM classroom in a secondary school associated with a comprehensive U.S. Midwestern university. Built to address a waning interest in STEM and STEM careers, this classroom offers multiple technologies and an engaging, flexible physical space that together create an innovative learning environment. A participatory design approach was utilized in order to maximize the use and sustainability of the classroom. Students, teachers, and administrators from the secondary school worked in collaboration with university faculty and staff and with Herman Miller®, an international design company that conducts learning-space research. In addition to the design process, this paper outlines successes and challenges encountered in implementation, as well as strategies used in addressing the challenges, providing guidance for other educational organizations seeking to infuse advanced technologies into classroom design and instruction.
Collapse Button Related Ontology Subjects/Areas/Topics (4)
Computer-Supported Education

K-12 Students

Social Context and Learning Environments
Cooperation with Industry in Teaching

Automatic Detection of Skin Cancer - Current Status, Path for the Future

Topics: Segmentation and Grouping; Early and Biologically-Inspired Vision; Color and Texture Analyses; Features Extraction; Medical Image Applications

Authors: William V. Stoecker 1 , Nabin Mishra 2 , Robert LeAnder 3 , Ryan K. Rader 4 and R. Joe Stanley 2

Affiliations: 1 Missouri University of Science And Technology, Stoecker & Associates and University of Missouri School of Medicine, United States , 2 Missouri University of Science And Technology, United States , 3 Southern Illinois University Edwardsville, United States , 4 Stoecker & Associates and University of Missouri School of Medicine, United States

Digital Object Identifier: 10.5220/0004348605040508

Proceedings of VISAPP 2013/VISIGRAPP, ISBN: 978-989-8565-47-1

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How far are we away from a Star-Trek-like device that can analyze a lesion and assess its malignancy? We review the main challenges in this field in light of the Blois paradigm of clinical judgment and computers. The research community has failed to adequately address several challenges ripe for the application of digital technology: 1) early detection of changing lesions, 2) detection of non-melanoma skin cancers, and 3) detection of benign melanoma mimics. We highlight a new device and recent image analysis advances in abnormal color and texture detection. Anthropomorphic paradigms can be applied to machine vision. Data fusion has the potential to move automatic diagnosis of skin lesions closer to clinical practice. The fusion of Blois’ high-level clinical information with low-level image data can yield high sensitivity and specificity. Synergy between detection devices and humans can get us closer to this Star-Trek-like device.
Collapse Button Related Ontology Subjects/Areas/Topics (8)
Applications and Services

Early and Biologically-Inspired Vision

Medical Image Applications

Color and Texture Analyses

Features Extraction

Segmentation and Grouping
Computer Vision, Visualization and Computer Graphics

Image and Video Analysis

Predicting Evacuation Capacity for Public Buildings

Topics: Knowledge Representation and Reasoning; Collective Intelligence

Authors: Pejman Kamkarian and Henry Hexmoor

Affiliation: Southern Illinois University, United States

Digital Object Identifier: 10.5220/0004217704330440

Proceedings of ICAART 2013, ISBN: 978-989-8565-39-6

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This paper demonstrates a solution for analyzing public space evacuation rates. Evacuating from a public building in a reasonable amount of time is reliant upon how safe the space is in terms of achieving a minimum time to move people outside. In order to increase the safety of evacuation in public spaces, we employed the Bayesian Belief Network method. To have a better estimation pattern, we have to focus on important physical environmental features as well as crowd formation and specifications in a public space.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Agents

Collective Intelligence

Symbolic Systems
Artificial Intelligence

Knowledge Representation and Reasoning

ADDING MORE SUPPORT FOR ASSOCIATIONS TO THE ODMG OBJECT MODEL

Topics: Information Systems Development; Data Warehouses and Data Mining; Data Semantics

Author: Bryon K. Ehlmann

Affiliation: Southern Illinois University Edwardsville, United States

Digital Object Identifier: 10.5220/0001312600050012

Proceedings of ICSOFT 2006, ISBN: 978-972-8865-69-6

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The Object Model defined in the ODMG standard for object data management systems (ODMSs) provides referential integrity support for one-to-one, one-to-many, and many-to-many associations. It does not, however, provide support that enforces the multiplicities often specified for such associations in UML class diagrams, nor does it provide the same level of support for associations that is provided in relational systems via the SQL references clause. The Object Relationship Notation (ORN) is a declarative scheme that provides for the specification of enhanced association semantics. These semantics include multiplicities and are more powerful than those provided by the SQL references clause. This paper describes how ORN can be added to the ODMG Object Model and discusses algorithms that can be used to support ORN association semantics in an ODMG-compliant ODMS. The benefits of such support are improved productivity in developing object database systems and increased system reliability.
Collapse Button Related Ontology Subjects/Areas/Topics (9)
Business Analytics

Data Semantics

Engineering Information System

Communication and Software Technologies and Architectures

Data Warehouses and Data Mining

Enterprise Information Systems

Data Engineering

e-Business

Information Systems Analysis and Specification

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