Awesome
Prof. Whitney is amazing! She's very responsive!!! Course material is quite tough, but she gives lots of resources!
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!
Pennsylvania State University - Statistics
Master of Professional Studies
Data Analytics
Penn State World Campus
Oregon Women in Higher Education
American Statistical Association (ASA)
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
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
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
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)
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
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
UX Foundations: Usability Testing
Lynda.com
Elearning Essentials: Storyboarding
Lynda.com
Instructional Design: Working with SMEs
Learning SQL Programming
Lynda.com
Human Resources Foundations
Lynda.com
Camtasia Quick Tips
Lynda.com
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.