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Sjsu Erfa News, Summer 2017, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 30, Number 4

Expressions, Summer 2017, San Jose State University, College Of The Humanities And The Arts

Expressions (College of Humanities and the Arts)

College of Humanities and the Arts Newsletter

The Sluggs Survey: Dark Matter Fractions At Large Radii And Assembly Epochs Of Early-Type Galaxies From Globular Cluster Kinematics, Adebusola Alabi, Duncan Forbes, Aaron Romanowsky, Jean Brodie, Jay Strader, Joachim Janz, Christopher Usher, Lee Spitler, Sabine Bellstedt, Anna Ferré-Mateu

Faculty Publications

We use globular cluster kinematics data, primarily from the SAGES Legacy Unifying Globulars and GalaxieS (SLUGGS) survey, to measure the dark matter fraction (fDM) and the average dark matter density (〈ρDM〉) within the inner 5 effective radii (Re) for 32 nearby early-type galaxies (ETGs) with stellar mass log (M*/M⊙) ranging from 10.1 to 11.8. We compare our results with a simple galaxy model based on scaling relations as well as with cosmological hydrodynamical simulations where the dark matter profile has been modified through various physical processes. We find a high fDM (≥0.6) within 5 Re in most of our sample, …

Equity Of Success In Clasp Courses At Uc Davis, Cassandra Paul, David Webb, Mary Chessey, Wendell Potter

Faculty Publications

We have recently described the reformed introductory physics course, Collaborative Learning through Active Sense-Making in Physics (CLASP), for bioscience students at UC Davis and argued that the course was more successful than its predecessor (Physics 5) by several measures. Now we examine the effects of these courses for different student ethnic groups. We find that, compared to Physics 5, students of most ethnic backgrounds were more successful in CLASP. We also find that students from ethnic groups underrepresented in STEM who took the CLASP course were more likely to graduate as STEM majors. We discuss possible features of CLASP that …

Designing Road Diet Evaluations: Lessons Learned From San Jose’S Lincoln Avenue Road Diet, Hilary Nixon, Asha Weinstein Agrawal, Cameron Simons

Mineta Transportation Institute

This report analyzes traffic impacts from the 2015 implementation of a pilot “road diet” on Lincoln Avenue, in the City of San Jose, California, comparing data on traffic volumes and speeds from before and after the road diet was implemented. The analysis looks at impacts on both the road diet location itself and on surrounding streets likely to have been impacted by traffic diverted off the road diet segment. The results within the road diet zone were as expected, with falling volumes and numbers of speeders. The all-day data aggregated by street type (e.g., neighborhood streets, major streets) showed limited …

Professional Learning Community (Plc): Technology Integration At A Title I Elementary School, Pamela Lan Cheng

Dissertations

Calls for educational technology integration over more than thirty years have taken on

new urgency in an era of computerized assessments for accountability. As Internet Communication Technology (ICT) becomes more widely available, the digital divide is evolving into a digital use divide, characterized by differences between students’ productive uses of technology to create and communicate compared with passive uses for entertainment or skills practice. A growing body of research points to the important interplay among teachers’ frames of reference, school-level context, and alignment of supports in creating conditions for technology innovation. Meanwhile Professional Learning Communities (PLCs) hold potential as leverage …

Standardized To Student-Centered: A Systemic Approach To Navigating The Transition, Finding Balance And Creating Equitable 21st Century Learning Environments, Betsy Fitch

Dissertations

Components of what has been historically referred to as progressive education have been shown to increase both student achievement and motivation. These historically termed ‘progressive’ approaches are now being reintroduced as systemic and innovative practices in the post No Child Left Behind (NCLB) era of education reform. While progressive education has often been criticized for appealing primarily to the white-middle class, and for an apparent lack of rigor, current research is beginning to tell a different story. This dissertation will summarize the evolution of the Progressive Movement from the late 1800s until today, describe the impacts of a more standardized …

Teachers' Perceptions On Preparedness And Supports To Implement The English Language Arts Common Core State Standards, Maria Clara Fernandez

Dissertations

The purpose of this study was to: (1) describe elementary teachers’ perceptions on their preparedness to implement the English Language Arts Common Core State Standards (ELA-CCSS); (2) determine how perceptions influenced changes in instructional practices; and (3) to explore ELA-CCSS implementation challenges and/or barriers in supporting teacher development. This study was conducted using a multi-methods research design involving quantitative data from a survey, and qualitative data from interviews. The conceptual framework for this study centered around a history of the Common Core State Standards, education reform implementation research, understandings about the Common Core State Standards, and reconstructing teacher practice. Results …

Exploring The Role Of Mentor Teaching, Through A Co-Teaching Model, In Secondary Teachers’ Beliefs, Practices, And Self-Efficacy Toward English Learners: A Multiple-Case Study, Terry E. Flora

Dissertations

This dissertation presents the findings of an exploratory, multiple-case study in which eight public secondary school teachers engaged in a professional development (PD) program centered on improving teacher instruction for English learners (ELs). The participants worked as co-teachers with teacher credential candidates, serving as both mentors and collaborators in professional development. The PD program focused on improving participants’ instructional practices with ELs as a way to support the high numbers of ELs enrolled in California public schools. The PD included cycles of inquiry, collaborative dialogue within a professional learning community, working with a university consultant, ongoing reflection, and collaborating with …

In Colbert We Trust: Teenagers And Comedic Persuasion, Peter G. Kistler

Master's Theses

In this study, high school students were exposed to either a comedy or conventional television news editorial segment, and each video’s persuasive effect was compared with the other. The sample consisted of 271 high school students from Valley Christian High School in San Jose, CA, a majority of whom were juniors and seniors. Students were separated into sample groups; one group viewed a Colbert Report editorial and guest interview focused on the concept of net neutrality, while the other group viewed an All In with Chris Hayes editorial and guest interview focused on the same subject. Both sample groups were …

The Moderating Effect Of Gender And Tenure On The Relationship Between Perceived Supervisor Support And Organizational Commitment, Megan Evelyn Little

Master's Theses

The purpose of this study was to explore the extent to which the demographic variables of gender and tenure influence the strength and direction of the relationship between perceived supervisor support and organizational commitment. Responses to a 2014 organization-wide employee opinion survey from 383 employees within a computer software company were analyzed using hierarchical multiple regression. In support of previous research, results from this study lay credence to the finding that perceived supervisor support has a positive, significant relationship with organizational commitment such that individuals who felt supported by their supervisors were more likely to report higher levels of organizational …

The Moderating Role Of Transformational Leadership And Perceived Organizational Support In The Relationship Between Openness To Experience And Creativity, Monica Luu

Master's Theses

Although openness to experience has been found to be a consistent and important determinant of creativity, organizations have been interested in ways in which they could alter the environment in order to increase creativity. Woodman, Sawyer, and Griffin (1993) argue that organizational creativity is a function of the interaction between an individual’s personality and environment. Using Woodman’s theory, the present study was conducted to test whether two organizational factors, transformational leadership and perceived organizational support (POS), would moderate the relationship between openness to experience and creativity. Data were collected from 114 fulltime and parttime employees from various organizations through use …

Flipping Stem Classrooms Collaboratively Across Campuses In California, Laura Sullivan-Green, Ravisha Mathur, Andrew Feinstein

Office of the Provost Scholarship

San José State University, in partnership with California State University-Los Angeles and Cal Poly Pomona, was awarded a prestigious 2015 First in the World grant, sponsored by the Department of Education. The multi-campus effort is focused on bringing the flipped classroom model to seven STEM gateway courses over three years that have high failure rates through collaborative efforts from faculty on the three partner campuses. SJSU, CSULA, and CPP are all designated Hispanic-Serving Institutions and Minority-Serving Institutions, though their demographics are very different. High impact practices like the flipped classroom approach have been shown to increase URM student success and …

Question Type Recognition Using Natural Language Input, Aishwarya Soni

Master's Projects

Recently, numerous specialists are concentrating on the utilization of Natural Language Processing (NLP) systems in various domains, for example, data extraction and content mining. One of the difficulties with these innovations is building up a precise Question and Answering (QA) System. Question type recognition is the most significant task in a QA system, for example, chat bots. Organization such as National Institute of Standards (NIST) hosts a conference series called as Text REtrieval Conference (TREC) series which keeps a competition every year to encourage and improve the technique of information retrieval from a large corpus of text. When a user …

Improving Text Classification With Word Embedding, Lihao Ge

Master's Projects

One challenge in text classification is that it is hard to make feature reduction basing upon the meaning of the features. An improper feature reduction may even worsen the classification accuracy. Word2Vec, a word embedding method, has recently been gaining popularity due to its high precision rate of analyzing the semantic similarity between words at relatively low computational cost. However, there are only a limited number of researchers focusing on feature reduction using Word2Vec. In this project, we developed a Word2Vec based method to reduce the feature size while increasing the classification accuracy. The feature reduction is achieved by loosely …

Viral Marketing For Smart Cities: Influencers In Social Network Communities, Madhura Kaple, Ketki Kulkarni, Katerina Potika

Faculty Publications, Computer Science

Social networks are used by cities primarily for announcing local-area events, but also for increasing engagement of citizens in votes and elections. Given the current plethora of heterogeneous social networks, city administrators can benefit from social networks to promote initiatives, which are important to a current smart city as well use them to discover future needs in order to manage resources more efficiently. Our focus in this paper is how we can adapt commercial and viral marketing techniques to smart city systems to influence the behavior, opinion and choices of citizens in order to improve their well being and that …

The Sluggs Survey: Using Extended Stellar Kinematics To Disentangle The Formation Histories Of Low-Mass S0 Galaxies, Sabine Bellstedt, Duncan Forbes, Caroline Foster, Aaron Romanowsky, Jean Brodie, Nicola Pastorello, Adebusola Alabi, Alexa Villaume

Faculty Publications

We utilize the DEIMOS instrument on the Keck telescope to measure the wide-field stellar kinematics of early-type galaxies as part of the SAGES Legacy Unifying Globulars and GalaxieS (SLUGGS) survey. In this paper, we focus on some of the lowest stellar mass lenticular galaxies within this survey, namely NGC 2549, NGC 4474, NGC 4459 and NGC 7457, performing detailed kinematic analyses out to large radial distances of ∼2–3 effective radii. For NGC 2549, we present the first analysis of data taken with the SuperSKiMS (Stellar Kinematics from Multiple Slits) technique. To better probe kinematic variations in the outskirts of the …

Effect Of Cohorts On Student Retention In Engineering, Patricia Backer, Cindy Kato

Faculty Publications

Project Succeed is a campus-wide initiative funded by the U.S. Department of Education. Its focus is to improve the 5-year graduation and retention rates and close the achievement gap for Under-Represented Minorities (URMs) across all majors at San José State University (SJSU). There are three major goals: strengthen SJSU’s core academic performance in retention and graduation; provide an improved supportive environment for URM students; and enhance the delivery and integration of academic and co-curricular support services. For Fall 2015, newly matriculated students in the College of Business, College of Engineering, and Child and Adolescent Development Department (CHAD) were assigned schedules …

Improving Student Engagement In Engineering Using Brain-Based Learning Principles As Instructional Delivery Protocols, John Solomon, Vimal Viswanathan, Eric Hamilton, Chitra Nayak

Faculty Publications, Mechanical Engineering

This paper presents a study on the academic engagement issues of the upper level engineering students in an HBCU (name of the university will be added later) and strategies implemented to overcome these issues using brain based learning principles as instructional delivery protocols. Although student engagement issues inside engineering classrooms have several components, we focus our attention in this paper mainly on two issues: the dis-engagement arising due to the lack of understanding of pre-requisites and insufficient mathematical skills of students reaching junior and senior engineering classes. A previous pilot study confirmed that a large fraction of students who reach …

Housing Price Prediction Using Support Vector Regression, Jiao Yang Wu

Master's Projects

The relationship between house prices and the economy is an important motivating factor for predicting house prices. Housing price trends are not only the concern of buyers and sellers, but it also indicates the current economic situation. Therefore, it is important to predict housing prices without bias to help both the buyers and sellers make their decisions. This project uses an open source dataset, which include 20 explanatory features and 21,613 entries of housing sales in King County, USA. We compare different feature selection methods and feature extraction algorithm with Support Vector Regression (SVR) to predict the house prices in …

Demographic Variables And Job Performance Of Librarians In University Libraries In South East Nigeria, Cyprian Ifeanyi Ugwu, Mercy Ebere Ugwu

Library Philosophy and Practice (e-journal)

This study aims at determining the relationship between demographic variables and the job performance of librarians in university libraries in South East Nigeria. The study was based on correlational research design. A total of 100 Librarians working as supervisors in the university libraries participated in the study. The instrument for data collection was questionnaire. Mean, Standard Deviation (SD) and Spearman’s ranked order coefficient were used to analyze the data collected while ANOVA and multiple regressions were used to test the hypotheses at 0.05 probability levels. The findings revealed high job performance of librarians with respect to their task and extra …

47th Chicano Commencement, 2017, San Jose State University, Associated Students

Chicano Commencement

47th Annual Chicano Commencement

"Con Orgullo, Con Poder, Y Sin Miedo" The 47th Annual Chicano Commencement was held on Sunday, May 28, 2017 at the SJSU Event Center.

Neural Net Stock Trend Predictor, Sonal Kabra

Master's Projects

This report analyzes new and existing stock market prediction techniques. Traditional technical analysis was combined with various machine-learning approaches such as artificial neural networks, k-nearest neighbors, and decision trees. Experiments we conducted show that technical analysis together with machine learning can be used to profitably direct an investor’s trading decisions. We are measuring the profitability of experiments by calculating the percentage weekly return for each stock entity under study. Our algorithms and simulations are developed using Python. The technical analysis methodology combined with machine learning algorithms show promising results which we discuss in this report.

Path-Finding Methodology For Visually-Impaired Patients Based On Image-Processing, Abhilash Goyal

Master's Projects

The objective of this project is to propose and develop the path-finding methodology for the visually impaired patients. The proposed novel methodology is based on image-processing and it is targeted for the patients who are not completely blind. The major problem faced by visually impaired patients is to walk independently. It is mainly because these patients can not see obstacles in front of them due to the degradation in their eye sight. Degradation in the eye-sight is mainly because either the light doesn't focus on the retina properly or due to the malfunction of the photoreceptor cells on the retina, …

Predicting Pancreatic Cancer Using Support Vector Machine, Akshay Bodkhe

Master's Projects

This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and clinical data. We have used real genomic data having 22,763 samples and 154 features per sample. We have also created Synthetic Clinical data having 400 samples and 7 features per sample in order to predict accuracy of just clinical data. To validate the hypothesis, we have combined synthetic clinical data with subset of features from real genomic data. In our results, we observed that …

Adding Differential Privacy In An Open Board Discussion Board System, Pragya Rana

Master's Projects

This project implements a privacy system for statistics generated by the Yioop search and discussion board system. Statistical data for such a system consists of various counts, sums, and averages that might be displayed for groups, threads, etc. When statistical data is made publicly available, there is no guarantee of preserving the privacy of an individual. Ideally, any data extracted should not reveal any sensitive information about an individual. In order to help achieve this, we implemented a Differential Privacy mechanism for Yioop. Differential privacy preserves privacy up to some controllable parameters of the number of items or individuals being …

An Open Source Discussion Group Recommendation System, Sarika Padmashali

Master's Projects

A recommendation system analyzes user behavior on a website to make suggestions about what a user should do in the future on the website. It basically tries to predict the “rating” or “preference” a user would have for an action. Yioop is an open source search engine, wiki system, and user discussion group system managed by Dr. Christopher Pollett at SJSU. In this project, we have developed a recommendation system for Yioop where users are given suggestions about the threads and groups they could join based on their user history. We have used collaborative filtering techniques to make recommendations and …

Credit Scoring Using Logistic Regression, Ansen Mathew

Master's Projects

This report presents an approach to predict the credit scores of customers using the Logistic Regression machine learning algorithm. The research objective of this project is to perform a comparative study between feature selection and feature extraction, against the same dataset using the Logistic Regression machine learning algorithm. For feature selection, we have used Stepwise Logistic Regression. For feature extraction, we have used Singular Value Decomposition (SVD) and Weighted Singular Value Decomposition (SVD). In order to test the accuracy obtained using feature selection and feature extraction, we used a public credit dataset having 11 features and 150,000 records. After performing …

Web - Based Office Market, Manodivya Kathiravan

Master's Projects

People who work in an office often have different pools of resources that they want to exchange. They want to trade their resources/work(seller) with a person who wants that particular resource(buyer) and in return get another resource the buyer offers. These kind of exchanges are often called Barter-exchanges where an item is traded for another item without the involvement of actual money. An exchange is set to be complete when there is a match between an available item and a desired item. This exchange is called direct exchange. When an item desired by one user is made available through a …

Ai For Classic Video Games Using Reinforcement Learning, Shivika Sodhi

Master's Projects

Deep reinforcement learning is a technique to teach machines tasks based on trial and error experiences in the way humans learn. In this paper, some preliminary research is done to understand how reinforcement learning and deep learning techniques can be combined to train an agent to play Archon, a classic video game. We compare two methods to estimate a Q function, the function used to compute the best action to take at each point in the game. In the first approach, we used a Q table to store the states and weights of the corresponding actions. In our experiments, this …