Whitney Zimmerman

 Whitney Zimmerman

Whitney A. Zimmerman

  • Courses3
  • Reviews10
Jul 15, 2020
N/A
Textbook used: Yes
Would take again: Yes
For Credit: Yes

0
0






Difficulty
Clarity
Helpfulness

Awesome

Prof. Whitney is amazing! She's very responsive!!! Course material is quite tough, but she gives lots of resources!

May 18, 2020
N/A
Textbook used: No
Would take again: Yes
For Credit: Yes

0
0





online
Difficulty
Clarity
Helpfulness

Awesome

Dr. Z's class was amazing! She had weekly assignments that were closely related to the quizzes, online notes in both written and video format, and discussion post forums for "tricky problem" support that she responded to on a frequent basis. Furthermore, the exams were less difficult than any of the homework tasks. 10/10 would recommend!

Biography

Pennsylvania State University - Statistics


Resume

  • 2020

    Master of Professional Studies

    Data Analytics

    Penn State World Campus

  • 2019

    Oregon Women in Higher Education

  • 2016

    American Statistical Association (ASA)

  • 2013

    A scale for measuring students' online learning self-efficacy was developed. In the first phase of the study

    interviews were conducted with online learning experts

    experienced online learners

    and novice online learners. In the second phase

    data were collected. Classical test theory and exploratory factor analysis (EFA) methods were used to evaluate score reliability and validity. Results were published in the American Journal of Distance Education.

    Online Course Curriculum Revision: Simulation-Based Inference (SBI)

    Updated online sections of an introductory statistics course to incorporate simulation-based inference (SBI) methods. This curricular approach has a stronger reliance on technology and emphasis on conceptual understanding of statistical concepts such as confidence intervals and p values. \n\nThis revision included rewriting the online course notes (Drupal 8)

    developing all new assessments

    and producing many short videos example (Camtasia).

    A randomized experiment was designed to examine the impact of varying instructional materials on the correlation between learners' knowledge and self-efficacy (i.e.

    self-efficacy calibration). Measures of knowledge and self-efficacy

    as related to conducting a chi-square test of independence

    were developed and validated. Data were collected using Qualtrics surveys with advanced display logic.\n\nResults suggest that self-efficacy calibration can be improved through the use of more efficiently designed instructional materials.

    Zimmerman

    Whitney

    Zimmerman

    Oregon State University

    Penn State University

    Williams-Sonoma

    Inc.

    Lake Tobias Wildlife Park

    Hershey Entertainment & Resorts Company

    Hershey Entertainment & Resorts Company

    Halifax

    PA

    ● Worked in admissions

    petting zoo

    concession stand

    kitchen

    and gift shop\n● Cared for baby animals including a ring-tailed lemur

    Russian wild boar

    and wallaby

    Seasonal Employee

    Lake Tobias Wildlife Park

    University Park

    PA

    Tutored undergraduate student athletes in statistics

    mathematics

    and educational psychology

    Tutor

    Morgan Academic Support Center for Student Athletes

    Penn State University

    Taught PSY 298: Quantitative Methods in Psychology

    Oregon State University

    Penn State University

    University Park

    PA

    ● Worked with doctoral students supported by the Special Education Program's PPREP and POSSE grants\n● Oriented incoming students to Penn State and the State College area\n● Provided tutoring in statistics

    research methods

    APA formatting

    and academic writing

    Peer Mentor / Tutor

    Special Education Program

    University Park

    PA

    ● Conducted literature reviews related to online faculty professional development needs\n● Worked with faculty enrolled in OL 1000

    a self-paced online course that provides an introduction to Penn State World Campus\n● Developed a scale to quantitatively measure online teaching self-efficacy

    Graduate Assistant

    World Campus Faculty Development

    Penn State University

    University Park

    PA

    Analyzed data from senior exit surveys and the National Survey of Student Engagement (NSSE) using Excel and SPSS\nAssisted with the development of a survey for College faculty\nCo-authored reports disseminating results of College-level surveys \n

    Consultant

    Quantitative Data Analysis

    College of Information Science and Technology

    Penn State University

    Hershey

    PA

    Cash Control

    Hershey Entertainment & Resorts Company

    University Park

    PA

    ● Co-led workshops for graduate students and postdoctoral scholars on topics related to post-secondary education\n● Provided individual consultations to graduate students and postdoctoral scholars on topics related to teaching and academic careers\n● Conducted classroom observations and provided constructive feedback to instructors

    Instructional Consultant Graduate Assistant

    Schreyer Institute for Teaching Excellence

    Penn State University

    University Park

    PA

    Facilitated conversations between faculty members at multiple Penn State campuses as a part of a multi-campus curricular alignment project

    Graduate Assistant

    Office of Undergraduate Education

    Penn State University

    University Park

    PA

    \"R&D: The Role of Educative Curriculum Materials in Supporting Science Teaching Practices with English Language Learners\"\n\nNSF Discovery Research K-12 Grant

    Award # 0822119

    a project in conjunction with the University of California

    Berkeley\n

    Graduate Assistant

    Educational Psychology Program

    Penn State University

    University Park

    PA

    Course Coordinator ● Online Instructor\n\n● Taught undergraduate- and graduate-level online introductory statistics courses\n● Coordinated up to 24 sections

    with up to 800 students

    of an online introductory statistics course each semester \n● Used SPSS

    Minitab

    R

    AMOS

    SAS

    and jMetrik to analyze quantitative student survey and assessment data \n● Used mixed methods to triangulate qualitative data

    quantitative data

    and educational theories to inform frequent course revisions resulting in an increase in the proportion of students successfully completing the course\n● Designed instructional materials (e.g.

    course notes

    quizzes

    videos) with educational psychology concepts (e.g.

    cognitive load

    multimedia learning theory) and learner experience (LX) / user experience (UX) in mind\n● Revised course materials to incorporate simulation-based inference (SBI) methods (i.e.

    bootstrapping and randomization procedures) and evaluated their efficacy using a quasi-experimental design\n● Produced more than 250 instructional videos with Camtasia

    disseminated via YouTube\n● Used YouTube Analytics to identify areas to target for additional instruction \n● Advocated to cut the cost of students' course materials in half\n● Conducted and published research related to online learning

    online course design

    and course completion\n\nPrior to September 2017

    the equivalent title of \"Lecturer\" was used

    Assistant Teaching Professor

    Department of Statistics

    Penn State University

    Hershey

    PA

    Cash Control

    Hershey Entertainment & Resorts Company

    Lancaster

    Pennsylvania Area

    ● Assisted with the grand opening of the Park City Center store\n● Interacted with customers on the sales floor and cash wrap areas

    Sales Associate

    Williams-Sonoma

    Inc.

    University Park

    PA

    ● Tutored undergraduate and graduate students in introductory through intermediate statistics\n● Produced instructional videos for introductory and intermediate statistics courses using QuickTime and iMovie\n● Conducted statistical analyses on quantitative survey data collected from alumni using SPSS\n● Revised existing

    and developed new

    online surveys in Qualtrics to collect qualitative and quantitative data from current students and alumni

    Statistics Support Graduate Assistant

    College of Education

    Penn State University

    Certificate for Online Teaching

    Penn State World Campus Faculty Development

    Instructional Design Essentials: Models of ID

    Lynda.com

    UX Design: 3 Creating Personas

    Lynda.com

    PowerPoint: Designing Better Slides

    LinkedIn

    Online Education Administration Conference Certificate

    DEPD

    uwm-15200859

    UX Foundations: Research

    Lynda.com

    Measuring Learning Effectiveness

    Lynda.com

    Data Visualization in R with ggplot2

    Lynda.com

    Working Remotely (2015)

    Lynda.com

    Learning Articulate Storyline 360

    Lynda.com

  • 2011

    2014 Division 15 (Educational Psychology) Graduate Student Seminar Participant

    American Psychological Association (APA)

    English

    Outstanding Conference Paper Award

    Outstanding Conference Paper Award [American Educational Research Association (AERA)] for Knight

    S. L.

    Parker

    D.

    Zimmerman

    W.

    & Ikhlef

    A. Investigating the relationship between professional development and student-centered learning environments in Qatari math and science elementary classrooms.

    AERA Learning Environments SIG

    Wiley Nexty Award for Best Multi-Section Course

    Award received for my coordination of the online sections of STAT 200 offered through Penn State World Campus.

    John Wiley & Sons

  • 2010

    Graduate Student Issues Committee Member- November 2010 - October 2013\nGraduate Student Issues Committee Chair- October 2011- October 2012\n\nMembership Committee Member- January 2013 to November 2014\n\nOrganized Best Paper by a Graduate Student Award 2011\nReader for Best Paper by a Graduate Student Award 2010

    2015\n\nReader of Conference Proposals- 2011

    Northeastern Educational Research Association (NERA)

  • 2009

    I analyzed data from peer-reviews of online courses that have used the Quality Matters Rubric using Excel and SPSS. Results were communicated via written technical reports

    a presentation at Quality Matters' annual conference

    and a webinar.

    Open Educational Resources (OER) Initiatives

    Led a team of four introductory statistics instructors in developing open-access assessment content as a part of Penn State's Open Educational Resources (OER) Initiatives

    Reader of Conference Proposals- 2012

    American Educational Research Association (AERA)

    Master of Education

    Master's Paper: Best Practices in Online Statistics Education: A Review of Literature

    Adult Education

    Penn State University

    Graduate Certificate

    Applied Statistics

    Penn State University

  • 2008

    Master of Science

    Thesis: Rater Agreement and the Measurement of Reliability in Evaluations of Online Courses Using the Quality Matters Rubric

    Educational Psychology

    Penn State University

    Doctor of Philosophy

    Dissertation: Impact of Instructional Materials Eliciting Low and High Cognitive Load on Self-Efficacy and Demonstrated Knowledge

    Educational Psychology

    Penn State University

    Learning & Motivation

    Cognitive Psychology

    Assessment Validity

    Measurement Theories

    Distance Education Research

    Children's Literature

    Analysis of Variance and Design

    Conceptual Learning / Problem Solving

    Issues in Adult Education

    Introduction to Distance Education

    Distance Education Design

    Design & Construction of Measures

    Analysis of Discrete Data

    Motivation

    Human Resource Management

    Early Childhood Education

    Multivariate Analyses

    Children's Play as an Educative Process

    Methods of Teaching Social Sciences

    Introduction to SAS

    UX Research Methods: Card Sorting

    Lynda.com

    Articulate 360: First Look

    Lynda.com

    Agile Testing

    Lynda.com

    PowerPoint: Creating an Infographic

    LinkedIn

    UX Foundations: Usability Testing

    Lynda.com

    Elearning Essentials: Storyboarding

    Lynda.com

    Instructional Design: Working with SMEs

    LinkedIn

    Learning SQL Programming

    Lynda.com

    Human Resources Foundations

    Lynda.com

    Camtasia Quick Tips

    Lynda.com

  • 2004

    Bachelor of Science

    Magna Cum Laude \nDepartmental (Psychology) Honors\n\nSenior Research: Gender Differences in the Social and Cognitive Play of Preschoolers

    Psychology

    Psychology Club

    Selinsgrove Center Project/Senior Friends (Project Manager)

    Asian Student Coalition

    Alpha Lambda Delta

    Psi Chi

    Susquehanna University

  • Online Learning Journal

    Statistical Consultant/Reviewer

    American Journal of Distance Education

    Academic Writing

    Adult Education

    Project Management

    Distance Learning

    Online Teaching

    Lesson Planning

    Quantitative Research

    Microsoft PowerPoint

    SPSS

    Statistics

    Research Design

    Psychology

    E-Learning

    Higher Education

    YouTube

    Data Analysis

    Instructional Design

    Research

    Minitab

    Curriculum Development

    Effect of professional development on teaching behaviors and efficacy in Qatari educational reform

    Co-authored with S. L. Knight

    D. E. Favre

    and A. Ikhlef

    Effect of professional development on teaching behaviors and efficacy in Qatari educational reform

    Co-authored with D. Lee

    Calibration of self-efficacy for conducting a chi-square test of independence

    Expectancies of success and values were used to predict success in an online undergraduate-level introductory statistics course. Students who identified as primarily face-to-face learners were compared to students who identified as primarily online learners. Expectancy-value theory served as a model. Expectancies of success were operationalized as self-efficacy for learning online and self-efficacy for learning statistics. Values were separated into the worth of learning statistics and the value of grades in the course. The purpose of this study was to determine if there are differences in the variables that may be used to predict final exam scores and successful course completion in typically face-to-face and typically online students

    because there are differences in the populations of students who tend to take courses in these two different formats (i.e.

    traditional and adult learners). In predicting final exam grades there were no interactions with typical mode of instruction

    though worth of statistics was a significant covariate and there was a main effect for typical mode of instruction. In predicting successful course completion

    there were interactions between typical mode of instruction and one of the online learning self-efficacy subscales as well as the worth of statistics scale. These results are discussed in relation to the application of mainstream motivational models in the populations of traditional and adult learners.

    Predicting success in an online undergraduate-level introductory statistics course using self-efficacy

    values

    and typical mode of instruction

    Long video lectures: Shifting to an adult learning perspective

    Co-authored with J. M. Kulikowich

    Online learning self-efficacy in students with and without online learning experience

    Using attitudes and anxieties to predict end-of-course outcomes in online and face-to-face introductory statistics courses

    Co-authored with G. Johnson

    Exploring factors related to completion of an online undergraduate-level introductory statistics course

    Fan Zhang

    Roy Clariana

    Glenn Johnson

    Kyung Kim

    Hyun Bin Kang

    Over two semesters short essay prompts were developed for use with the Graphical Interface for Knowledge Structure (GIKS)

    an automated essay scoring system. Participants were students in an undergraduate-level online introductory statistics course. The GIKS compares students' writing samples with an expert's to produce keyword occurrence and links in common scores which can be used to construct a visual representation of an individual's knowledge structure. Each semester

    students responded to the same two essay prompts during the first and last week of the course. All responses were scored by the GIKS and two instructors. Evidence for the validity of scores obtained using the GIKS was provided through the use of correlations with instructors' scores and final exam scores. Changes in scores from the beginning to end of the course were examined. Suggestions for writing open-ended prompts that work well with computer-automated scoring systems are given as well as suggestions for using the GIKS as a formative learning activity as opposed to summative assessment.

    Computer-automated approach for scoring short essays in an introductory statistics course

    Produced more than 250 instructional videos for an online introductory statistics course. There are short videos throughout the online course notes as well as longer (20-60 minutes) full video lectures. Videos are make using Camtasia and posted publicly on YouTube.

online

STAT 200

4.4(8)

online

STATS 200

2.5(1)