Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

San Jose State University

Discipline
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 2581 - 2610 of 6921

Full-Text Articles in Entire DC Network

Spartan Daily, February 8, 2018, San Jose State University, School Of Journalism And Mass Communications Feb 2018

Spartan Daily, February 8, 2018, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2018

Volume 150, Issue 7


Newspaper Citation In Scholarly Publications: A Study On Financial Times Newspaper During 2001-2010 As Reflected In Web Of Science, Angom Jeevan Singh, Dr. S. Ravikumar Feb 2018

Newspaper Citation In Scholarly Publications: A Study On Financial Times Newspaper During 2001-2010 As Reflected In Web Of Science, Angom Jeevan Singh, Dr. S. Ravikumar

Library Philosophy and Practice (e-journal)

No abstract provided.


Authorship Trend And Collaborative Research In Lung Cancer: A Time Series Analysis Study, Shridevi Prakash Sindagi Miss, Dr Gavisiddappa Bhalappa Anandhalli Dr Feb 2018

Authorship Trend And Collaborative Research In Lung Cancer: A Time Series Analysis Study, Shridevi Prakash Sindagi Miss, Dr Gavisiddappa Bhalappa Anandhalli Dr

Library Philosophy and Practice (e-journal)

This study highlights the authorship trend and collaborative research in the area of lung cancer literature based on 93512 scholarly communications appeared in the lung cancer literature during 1997 to 2016.The study elaborates on various bibliometric components such as year wise distribution of articles, relative growth rate, doubling time, authorship pattern and collaborative coefficients. High degree of collaborative research (0.92) was found in the field of lung cancer which shows there is trend towards collaborative research. The Lotka’s distribution is well fitted and followed in the area of Lung cancer which is confirmed with K-S test. The highest number of …


Influence Of Performance Expectancy And Facilitating Conditions On Use Of Digital Library By Engineering Lecturers In Universities In South-West, Nigeria, Saheed Hamzat, Iyabo Mabawonku Feb 2018

Influence Of Performance Expectancy And Facilitating Conditions On Use Of Digital Library By Engineering Lecturers In Universities In South-West, Nigeria, Saheed Hamzat, Iyabo Mabawonku

Library Philosophy and Practice (e-journal)

Digital library (DL) is an important information system which provides all-encompassing benefits to various stakeholders in scholarship and research through its provision of access to immediate and up-to-date information resources. The review of literature indicated low use of this system by engineering lecturers owing to system characteristics; and pay little or no attention to factors such as Performance Expectancy (PE) and Facilitating Conditions (FC) on the use of this system by engineering lecturers in universities. This study therefore investigated the influence of performance expectancy and facilitating conditions on the use of digital library by engineering lecturers in universities in South-west, …


Public Libraries As Conduits For Indigenous Knowledge In South Africa, Maned Mhlongo, Patrick Ngulube Feb 2018

Public Libraries As Conduits For Indigenous Knowledge In South Africa, Maned Mhlongo, Patrick Ngulube

Library Philosophy and Practice (e-journal)

The dearth of indigenous knowledge (IK) in libraries in general and in South Africa in particular is cause for concern as the situation can lead to its demise. Awareness of the usefulness of IK in various aspects of community life is well documented. It is imperative that public libraries, as gateways to information and knowledge should be at the forefront of facilitating access to all knowledge, including IK. The article explores how public libraries in South Africa can facilitate access to indigenous knowledge. Data for this multiple case study was collected through semi-structured interviews with directors of provincial library services. …


The O2/N2 Ratio And Co2 Airborne Southern Ocean Study, Britton Stephens, Matthew Long, Ralph Keeling, Eric Kort, Colm Sweeney, Eric Apel, Elliot Atlas, Stuart Beaton, Jonathan Bent, Nicola Blake, James Bresch, Joanna Casey, Bruce Daube, Minghui Diao, Ernesto Diaz, Heidi Dierssen, Valeria Donets, Bo-Cai Gao, Michelle Gierach, Robert Green, Justin Haag, Matthew Hayman, Alan Hills, Martín Hoecker-Martínez, Shawn Honomichl, Rebecca Hornbrook, Jorgen Jensen, Rong-Rong Li, Ian Mccubbin, Kathryn Mckain, Eric Morgan, Scott Nolte, Jordan Powers, Bryan Rainwater, Kaylan Randolph, Mike Reeves, Sue Schauffler, Katherine Smith, Mackenzie Smith, Jeff Stith, Gregory Stossmeister, Darin Toohey, Andrew Watt Feb 2018

The O2/N2 Ratio And Co2 Airborne Southern Ocean Study, Britton Stephens, Matthew Long, Ralph Keeling, Eric Kort, Colm Sweeney, Eric Apel, Elliot Atlas, Stuart Beaton, Jonathan Bent, Nicola Blake, James Bresch, Joanna Casey, Bruce Daube, Minghui Diao, Ernesto Diaz, Heidi Dierssen, Valeria Donets, Bo-Cai Gao, Michelle Gierach, Robert Green, Justin Haag, Matthew Hayman, Alan Hills, Martín Hoecker-Martínez, Shawn Honomichl, Rebecca Hornbrook, Jorgen Jensen, Rong-Rong Li, Ian Mccubbin, Kathryn Mckain, Eric Morgan, Scott Nolte, Jordan Powers, Bryan Rainwater, Kaylan Randolph, Mike Reeves, Sue Schauffler, Katherine Smith, Mackenzie Smith, Jeff Stith, Gregory Stossmeister, Darin Toohey, Andrew Watt

Faculty Publications, Meteorology and Climate Science

The Southern Ocean plays a critical role in the global climate system by mediating atmosphere–ocean partitioning of heat and carbon dioxide. However, Earth system models are demonstrably deficient in the Southern Ocean, leading to large uncertainties in future air–sea CO2 flux projections under climate warming and incomplete interpretations of natural variability on interannual to geologic time scales. Here, we describe a recent aircraft observational campaign, the O2/N2 Ratio and CO2 Airborne Southern Ocean (ORCAS) study, which collected measurements over the Southern Ocean during January and February 2016. The primary research objective of the ORCAS campaign was to improve observational constraints …


Using The Real-Time Instructor Observing Tool (Riot) For Reflection On Teaching Practice, Cassandra Paul, Emily West Feb 2018

Using The Real-Time Instructor Observing Tool (Riot) For Reflection On Teaching Practice, Cassandra Paul, Emily West

Faculty Publications

As physics educators, we are constantly looking for ways to improve our practice. There are many different kinds of professional development opportunities that have been shown to help us with this endeavor. We can seek assistance from professionals, like mentor teachers or centers for faculty development, we can attend workshops to learn new curricula or pedagogical skills, and we can engage in learning communities to develop shared visions and become more reflective educators.1However, when these activities end, what can we do on our own to continue to improve? How can we track our improvement? And perhaps even most …


Does The Test Work? Evaluating A Web-Based Language Placement Test, Avizia Long, Sun-Young Shin, Kimberly Geeslin, Erik Willis Feb 2018

Does The Test Work? Evaluating A Web-Based Language Placement Test, Avizia Long, Sun-Young Shin, Kimberly Geeslin, Erik Willis

Faculty Publications

In response to the need for examples of test validation from which everyday language programs can benefit, this paper reports on a study that used Bachman’s (2005) assessment use argument (AUA) framework to examine evidence to support claims made about the intended interpretations and uses of scores based on a new web-based Spanish language placement test. The test, which consisted of 100 items distributed across five item types (sound discrimination, grammar, listening comprehension, reading comprehension, and vocabulary), was tested with 2,201 incoming first-year and transfer students at a large, Midwestern public university. Analyses of internal consistency and validity revealed the …


Artificial Intelligence(Ai) Application In Library Systems In Iran: A Taxonomy Study, Asefeh Asemi, Adeleh Asemi Feb 2018

Artificial Intelligence(Ai) Application In Library Systems In Iran: A Taxonomy Study, Asefeh Asemi, Adeleh Asemi

Library Philosophy and Practice (e-journal)

With introducing and developing AI logic, this science as a branch of computer science could impact and improve all sciences which used computer systems. LIS also could get benefit from AI in many areas. This paper survey applications of AI in library and information science and introduce the potential of library system to apply AI techniques. Intelligent systems have contributed for many librarian purposes like cataloging, indexing, information retrieval, reference, and other purposes. We applied Exploratory Factor Analysis (EFA) as a primer method for identification of the most applicable AI techniques categories in LIS. ESs are the most usable intelligent …


Expectations On Library Services, Library Quality (Libqual) Dimension And Library Customer Satisfaction: Relationship To Customer Loyalty, Arlyn Selga Cristobal Jan 2018

Expectations On Library Services, Library Quality (Libqual) Dimension And Library Customer Satisfaction: Relationship To Customer Loyalty, Arlyn Selga Cristobal

Library Philosophy and Practice (e-journal)

This study examined the library users’ minimum acceptable, desired, and actual observed service performance level of the University of Saint Louis (USL) College Library along the four service quality dimensions: access to information (AI), affect of service (AS), library as place (LP) and information control (IC). It also sought to determine the interrelationships of library service quality, satisfaction with library services, and loyalty to library and its services. This study utilized a questionnaire ased on (a) the LIbQUAL™ 2003 by the Academic and Research Libraries (ARL) and Texas A&M University Libraries; (b) satisfaction on library services; and (c) loyalty measures. …


On The Formation Mechanisms Of Compact Elliptical Galaxies, Anna Ferré-Mateu, Duncan Forbes, Aaron Romanowsky, Joachim Janz, Christopher Dixon Jan 2018

On The Formation Mechanisms Of Compact Elliptical Galaxies, Anna Ferré-Mateu, Duncan Forbes, Aaron Romanowsky, Joachim Janz, Christopher Dixon

Faculty Publications

In order to investigate the formation mechanisms of the rare compact elliptical (cE) galaxies, we have compiled a sample of 25 cEs with good SDSS spectra, covering a range of stellar masses, sizes and environments. They have been visually classified according to the interaction with their host, representing different evolutionary stages. We have included clearly disrupted galaxies, galaxies that despite not showing signs of interaction are located close to a massive neighbour (thus are good candidates for a stripping process), and cEs with no host nearby. For the latter, tidal stripping is less likely to have happened and instead they …


Establishing And Analyzing The Pattern Of Relationships In Co-Authorship Networks: The Case Study Of Scientific Productions Of Researchers At Kerman University Of Medical Sciences, Safieh Tahmasebi Limoni, Oranus Tajedini, Ali Sadatmoosavi Jan 2018

Establishing And Analyzing The Pattern Of Relationships In Co-Authorship Networks: The Case Study Of Scientific Productions Of Researchers At Kerman University Of Medical Sciences, Safieh Tahmasebi Limoni, Oranus Tajedini, Ali Sadatmoosavi

Library Philosophy and Practice (e-journal)

Abstract:

Introduction: The purpose of this research is to evaluate the co-authorship network of researchers of Kerman University of Medical Sciences. This assessment includes a look at the co-authorship, patterns of co-writing, researchers' outputs, authors ranking, map drawing of the co-authorship network, comparing the network of co-writing of the medical field with other domains, main component and key researchers, review The fit of the network of the co-writing of medical researchers with the small world theory, as well as person-centered indicators such as degree centrality, between centrality, closeness centrality Eigenvector, vector centrality, beta centrality, and interstitial centrality. Method …


Hurricane Fred (2015): Cape Verde's First Hurricane In Modern Times: Observations, Impacts, And Lessons Learned, Gregory Jenkins, Ester Brito, Emanuel Soares, Sen Chiao, Jose Lima, Benvendo Tavares, Angelo Cardoso, Francisco Evora, Maria Monteiro Jan 2018

Hurricane Fred (2015): Cape Verde's First Hurricane In Modern Times: Observations, Impacts, And Lessons Learned, Gregory Jenkins, Ester Brito, Emanuel Soares, Sen Chiao, Jose Lima, Benvendo Tavares, Angelo Cardoso, Francisco Evora, Maria Monteiro

Faculty Publications, Meteorology and Climate Science

During 31 August 2015, Hurricane Fred traversed through the Cape Verde islands, passing near Boa Vista and possibly making landfall over São Nicolau during the evening hours. Hurricane Fred was a category 1 storm with maximum winds of 75 kt and a sea level pressure of 986 hPa during 31 August. The African easterly wave associated with Tropical Cyclone (TC) Fred emerged from Guinea on 29 August and was named Tropical Storm Fred on 30 August. Prior to impacting Cape Verde, the storm caused the sinking of a ship and the loss of seven lives off the coast of Guinea-Bissau …


Teens-As-Teachers Nutrition Program Increases Interest In Science Among Schoolchildren And Fosters Self-Efficacy In Teens, Virginia Bolshakova, John Gieng, C. Sheena Sidhu Jan 2018

Teens-As-Teachers Nutrition Program Increases Interest In Science Among Schoolchildren And Fosters Self-Efficacy In Teens, Virginia Bolshakova, John Gieng, C. Sheena Sidhu

Faculty Publications

The Healthy Living Ambassador Program brings health, teen leadership, and teamwork to California's elementary school gardens through interdisciplinary UC Cooperative Extension collaboration, community-based partnerships and teen teaching. During spring 2015, teen ambassadors trained by Extension educators and volunteers at UC Elkus Ranch in San Mateo County taught nutrition science, food cultivation and healthy living skills in an 8-week, garden-based, after-school nutrition and physical education program for elementary school children in an urban setting. We conducted a pilot study using a mixed-methods approach to measure and explore the program's impact on children's vegetable selection and consumption preferences, as well as perceived …


Using Existing Bibliographic Resources To Compile Faculty Publication Lists: A Case Study From San José State University, Ngoc-Yen Tran, Emily K. Chan Jan 2018

Using Existing Bibliographic Resources To Compile Faculty Publication Lists: A Case Study From San José State University, Ngoc-Yen Tran, Emily K. Chan

Faculty and Staff Publications

With limited campus resources for faculty scholarship, the College of Science (CoS) at San José State University (SJSU) developed scholarly output metrics as a way to add a quantitative component to the distribution of funds, to ensure objectivity, and to reward proven researchers. To support CoS's efforts to identify and quantify science faculty research publications, we compiled a bibliography of science faculty research and scholarship which would be used to develop and formalize baseline research metrics. Using existing and available resources including librarian time, subscribed science databases, and the institution-subscribed reference citation manager, we developed a method by which any …


Successes And Challenges In Supporting Undergraduate Peer Educators To Notice And Respond To Equity Considerations Within Design Teams, Chandra Turpen, Ayush Gupta, Jennifer Radoff, Andrew Elby, Hannah Sabo, Gina Quan Jan 2018

Successes And Challenges In Supporting Undergraduate Peer Educators To Notice And Respond To Equity Considerations Within Design Teams, Chandra Turpen, Ayush Gupta, Jennifer Radoff, Andrew Elby, Hannah Sabo, Gina Quan

Faculty Publications

We describe and analyze our efforts to support Learning Assistants (LAs)—undergraduate peereducators who simultaneously take a 3-credit pedagogy course—in fostering equitable teamdynamics and collaboration within a project-based engineering design course. Tonso andothers have shown that (a) inequities can “live” in mundane interactions such as those amongstudents within design teams and (b) those inequities both reflect and (re)produce broadercultural patterns and narratives (e.g. Wolfe & Powell, 2009; Tonso, 1996, 2006a, 2006b;McLoughlin, 2005). LAs could be well-positioned to notice and potentially disrupt inequitablepatterns of participation within design teams. In this paper, we explore (1) How do LAs notice,diagnose, and consider responding to …


Environmental Studies 129: Water Policy In The Western U.S., Costanza Rampini Jan 2018

Environmental Studies 129: Water Policy In The Western U.S., Costanza Rampini

Faculty Publications, Environmental Studies

Water, or lack of it, is the defining characteristic of development in the Western United States. Using multiple analytical frameworks, including history, law, economics, environmental science, and sociology, we will investigate the interrelationships of key policies, players, and projects involved in Western water. More specifically, we will critically examine how important federal, state, and local water policies arose and how they affect different stakeholder groups (e.g., irrigators, environmentalists, indigenous peoples, the local citizenry, government entities, public water resource agencies). We will also learn about how stakeholder values and corresponding water policies have changed, or failed to change, over time. Case …


Environmental Studies 117: Human Ecology, Costanza Rampini Jan 2018

Environmental Studies 117: Human Ecology, Costanza Rampini

Faculty Publications, Environmental Studies

This is a required course in the major, which covers the diversity and similarity of human adaptation, cultural evolution, cultural change and environmental modification in African, Asiatic, Oceanic and Latin American cultural groups. The emphasis is on traditional non-Western conservation practices and their lessons for the modern-day resource manager. ENVS 117 is a core requirement for majors. Students interested in other cultures and world regions, and in particular international development, will find this course not only interesting, but useful.


Unsupervised Machine Learning Account Of Magnetic Transitions In The Hubbard Model, Kelvin Ch'ng, Nick Vazquez, Ehsan Khatami Jan 2018

Unsupervised Machine Learning Account Of Magnetic Transitions In The Hubbard Model, Kelvin Ch'ng, Nick Vazquez, Ehsan Khatami

Faculty Publications

We employ several unsupervised machine learning techniques, including autoencoders, random trees embedding, and t-distributed stochastic neighboring ensemble (t-SNE), to reduce the dimensionality of, and therefore classify, raw (auxiliary) spin configurations generated, through Monte Carlo simulations of small clusters, for the Ising and Fermi-Hubbard models at finite temperatures. Results from a convolutional autoencoder for the three-dimensional Ising model can be shown to produce the magnetization and the susceptibility as a function of temperature with a high degree of accuracy. Quantum fluctuations distort this picture and prevent us from making such connections between the output of the autoencoder and …


Global Climate Change I-Ii, Kendall Barrett Sooter, Dione Rossiter, Costanza Rampini Jan 2018

Global Climate Change I-Ii, Kendall Barrett Sooter, Dione Rossiter, Costanza Rampini

Faculty Publications, Environmental Studies

Many different scientific observations and measurements indicate that Earth is experiencing global-scale changes in climate, i.e., in the long-term distributions of temperature, cloud cover, precipitation, and extreme weather events. Scientific consensus considers most these changes to be caused or accelerated by human activities. The economic, ecological, social, and cultural challenges caused by global climate change will affect everyone on the planet, and are very likely to have disproportionate impacts on developing nations. In this course, we will study global climate change from an interdisciplinary perspective, incorporating natural and social science approaches to understanding processes and effects. We will study the …


Recommender Systems For Large-Scale Social Networks: A Review Of Challenges And Solutions, Magdalini Eirinaki, Jerry Gao, Iraklis Varlamis, Konstantinos Tserpes Jan 2018

Recommender Systems For Large-Scale Social Networks: A Review Of Challenges And Solutions, Magdalini Eirinaki, Jerry Gao, Iraklis Varlamis, Konstantinos Tserpes

Faculty Publications

Social networks have become very important for networking, communications, and content sharing. Social networking applications generate a huge amount of data on a daily basis and social networks constitute a growing field of research, because of the heterogeneity of data and structures formed in them, and their size and dynamics. When this wealth of data is leveraged by recommender systems, the resulting coupling can help address interesting problems related to social engagement, member recruitment, and friend recommendations.In this work we review the various facets of large-scale social recommender systems, summarizing the challenges and interesting problems and discussing some of the …


Support Vector Machines For Image Spam Analysis, Aneri Chavda, Katerina Potika, Fabio Di Troia, Mark Stamp Jan 2018

Support Vector Machines For Image Spam Analysis, Aneri Chavda, Katerina Potika, Fabio Di Troia, Mark Stamp

Faculty Publications, Computer Science

Email is one of the most common forms of digital communication. Spam is unsolicited bulk email, while image spam consists of spam text embedded inside an image. Image spam is used as a means to evade text-based spam filters, and hence image spam poses a threat to email-based communication. In this research, we analyze image spam detection using support vector machines (SVMs), which we train on a wide variety of image features. We use a linear SVM to quantify the relative importance of the features under consideration. We also develop and analyze a realistic “challenge” dataset that illustrates the limitations …


On The Effectiveness Of Generic Malware Models, Naman Bagga, Fabio Di Troia, Mark Stamp Jan 2018

On The Effectiveness Of Generic Malware Models, Naman Bagga, Fabio Di Troia, Mark Stamp

Faculty Publications, Computer Science

Malware detection based on machine learning typically involves training and testing models for each malware family under consideration. While such an approach can generally achieve good accuracy, it requires many classification steps, resulting in a slow, inefficient, and potentially impractical process. In contrast, classifying samples as malware or benign based on more generic “families” would be far more efficient. However, extracting common features from extremely general malware families will likely result in a model that is too generic to be useful. In this research, we perform controlled experiments to determine the tradeoff between generality and accuracy—over a variety of machine …


The Quest For Carbon-Neutral Industrial Operations: Renewable Power Purchase Versus Distributed Generation, Tongdan Jin, Tianqin Shi, Taeho Park Jan 2018

The Quest For Carbon-Neutral Industrial Operations: Renewable Power Purchase Versus Distributed Generation, Tongdan Jin, Tianqin Shi, Taeho Park

Faculty Publications

Integrating renewable energy into the manufacturing facility is the ultimate key to realising carbon-neutral operations. Although many firms have taken various initiatives to reduce the carbon footprint of their facilities, there are few quantitative studies focused on cost analysis and supply reliability of integrating intermittent wind and solar power. This paper aims to fill this gap by addressing the following question: shall we adopt power purchase agreement (PPA) or onsite renewable generation to realise the eco-economic benefits? We tackle this complex decision-making problem by considering two regulatory options: government carbon incentives and utility pricing policy. A stochastic programming model is …


Deep Learning Based Recommendation Systems, Nishanth Reddy Pinnapareddy Jan 2018

Deep Learning Based Recommendation Systems, Nishanth Reddy Pinnapareddy

Master's Projects

The usage of Internet applications, such as social networking and e-commerce is increasing exponentially, which leads to an increased offered content. Recommender systems help users filter out relevant content from a large pool of available content. The recommender systems play a vital role in today’s internet applications. Collaborative Filtering (CF) is one of the popular technique used to design recommendation systems. This technique recommends new content to users based on preferences that the user and similar users have. However, there are some shortcomings to current CF techniques, which affects negatively the performance of the recommendation models. In recent years, deep …


Measuring The Research Output Of Indian Institute Of Technology (Iits) With Special Reference To Web Of Science (Wos) Database: A Bibliometric Approach, Amit Kumar, Monika Singh, Chaman Ranjan Jan 2018

Measuring The Research Output Of Indian Institute Of Technology (Iits) With Special Reference To Web Of Science (Wos) Database: A Bibliometric Approach, Amit Kumar, Monika Singh, Chaman Ranjan

Library Philosophy and Practice (e-journal)

Abstract:

Purpose: The study is an attempt to measure the research output of Indian Institute Technology (IITs) in quantitative manner as appeared in Web of Science (WoS) database from 1989 – 2018 (14.09.2018). In addition to measure the research output, the study aims to investigate the contribution made by the IITs, the most productive authors and their collaborative attitude with highly cited articles etc.

Design/Methodology/Approach: To accomplish the objectives of the study, the relevant data for the study was obtained from Web of Science (WoS) database. The bibliographical data were recorded in MS-Excel 2007 sheet for the analysis and …


Exploratory Data Analysis And Crime Prediction In San Francisco, Isha Pradhan Jan 2018

Exploratory Data Analysis And Crime Prediction In San Francisco, Isha Pradhan

Master's Projects

Crime has been prevalent in our society for a very long time and it continues to be so even today. The San Francisco Police Department has continued to register numerous such crime cases daily and has released this data to the public as a part of the open data initiative. In this paper, Big Data analysis is used on this dataset and a tool that predicts crime in San Francisco is provided. The focus of the project is to perform an in-depth analysis of the major types of crimes that occurred in the city, observe the trend over the years, …


Vehicle Tracking Based On Historical Intersection Over Union, Shuai Hua Jan 2018

Vehicle Tracking Based On Historical Intersection Over Union, Shuai Hua

Master's Theses

Multi-object tracking (MOT) could be applied to many video analysis scenarios, such as vehicle speed estimation, vehicle re-identification, and vehicle abnormal behavior detection. A tracking task can be formulated as a data association problem, for which there exist many different types of solutions. Track-by-detection is one of the most common approaches for the MOT task. In this paradigm, the tracking algorithm relies on the detection results to decide whether detected vehicles in sequential frames belong to the same track. In our work, we developed a reliable vehicle tracker following this paradigm, while considering the balance between tracking efficiency and tracking …


Digital Literacy In Early Elementary School: Barriers And Support Systems In The Era Of The Common Core, Delnaz Hosseini Jan 2018

Digital Literacy In Early Elementary School: Barriers And Support Systems In The Era Of The Common Core, Delnaz Hosseini

Dissertations

This study examines teachers’ perceptions about digital literacy instruction in early elementary school grades (e.g., Kindergarten through grade 2) so as to identify existing obstacles to digital literacy instruction as well as support systems necessary to enhance instruction. Participants (n = 37) included Kindergarten, first, and second grade teachers from both Title I and non-Title I schools. Data was collected through an online survey with primarily closed-ended questions. Correlations and relationships amongst and across survey questions were analyzed. Analysis revealed that early elementary grade students in this school district are provided with more opportunities to practice computer literacy than …


From The Ground Up: Providing Support To Emergent Bilinguals To Distinguish Language Difference From Disability, Andrea Golloher, David Whitenack, Lisa Simpson, Donna Sacco Jan 2018

From The Ground Up: Providing Support To Emergent Bilinguals To Distinguish Language Difference From Disability, Andrea Golloher, David Whitenack, Lisa Simpson, Donna Sacco

Faculty Publications

National Assessment of Educational Progress (NAEP) data reveal that students with disabilities who are emergent bilinguals (English language learners) have the lowest levels of profficiency in reading and mathematics among all student groups. We consider issues related to the instruction of emergent bilinguals, including those identified as having specific learning disabilities, using a Response to Intervention (RTI)/Multi-Tiered Systems of Support (MTSS) model. In so doing, we argue that instructional practices consistent with a robust Tier 1 framework are beneficial to emergent bilinguals with and without learning disabilities while differentiating Tier 2 and 3 interventions may improve outcomes for emergent bilingual …