The College of Education offers the following data-science related degree and certificate programs:

• Educational Psychology & Research Methodology (Masters and PhD)
  These programs prepare students to be leaders in research that addresses significant educational and psychological problems.
• Graduate Certificate in Quantitative Research, Assessment, and Evaluation in Education
  This graduate certificate program is designed to help graduate students from any major to become proficient with research methods and procedures required for quantitative data analyses, assessment and evaluation in educational and social science research and practices.
• Graduate Certificate in Qualitative Research
  This graduate certificate program prepares students and professionals to develop a broad and in-depth knowledge of qualitative research approaches and prepares them to conduct qualitative research studies, including the analysis of large sets of non-numerical and unstructured data (e.g., text, photos, video, audio and other forms of multimedia).

The College of Education offers the following data-science related courses:

• Department of Educational Studies
  • EDPS 53100 – Measurement and Instrument Design
  • EDPS 53300 – Introduction to Educational Research I: Methodology
  • EDPS 53400 – Introduction to Educational Research II: Measurement Consideration
  • EDPS 55600 – Introduction to Quantitative Data Analysis Methods in Education I
  • EDPS 55700 – Introduction to Quantitative Data Analysis Methods in Education II
  • EDPS 63200 – Seminar in Research Procedures in Education (variable topics include meta-analysis, computer adaptive testing, multilevel modeling and other advanced methods)
  • EDPS 63500 – Psychometric Theory and Application
  • EDPS 63600 – Item Response Theory
  • EDPS 63700 – Data Analytic Procedures for Applied Research
  • EDPS 63800 – Factor Analytic Procedures
  • EDPS 60700 – Mixed Methods Research Design and Application
• Department of Curriculum & Instruction
  • EDCI 27000 – Introduction to Educational Technology and Computing
  • EDCI 52800 – Human Performance Technology
  • EDCI 55700 – Assessment of Culturally and Linguistically Diverse Students
  • EDCI 56400 – Integration and Management of Computers in Education
  • EDCI 57700 – Strategic Assessment and Evaluation
  • EDCI 61500 – Qualitative Research Methods in Education
  • EDCI 61600 – Advanced Qualitative Research Methods in Education
  • EDCI 62100 – Technology for Qualitative Research

Below are the College of Education Data Science Working Group faculty and staff members.

Chair
Wayne E. Wright, PhD
Associate Dean for Research, Graduate Programs, and Faculty Development
Professor and Barbara I. Cook Chair of Literacy and Language
Members
Department of Curriculum and Instruction

• Janet Alsup, PhD
  Head, Department of Curriculum and Instruction
  Professor, Language and Literacy
• William Watson, PhD
  Associate Professor, Learning Design and Technology
• Victoria Lowell, PhD
  Associate Clinical Professor, Learning Design and Technology

Department of Educational Studies

• F. Richard Olenchak, PhD
  Head, Department of Educational Studies
  Professor, Educational Psychology and Research Methodology
• Hua-Hua Chang, PhD
  Charles R. Hicks Chair Professor, Educational Psychology and Research Methodology
• Yukiko Maeda, PhD
  Associate Professor, Educational Psychology and Research Methodology
• Anne Traynor, PhD
  Assistant Professor, Educational Psychology and Research Methodology

Evaluation and Learning Research Center

• Ann Bessenbacher, PhD
  Research Associate and Data Scientist

The College of Education is home to the following centers than engage in data-science related research:

• Evaluation and Learning Research Center (ELRC) is a recognized national and international leader in education research and evaluation, collaborates with and provides expert grant preparation and evaluation resources to faculty in all colleges across Purdue University. ELRC staff serve as Co-PIs and evaluators on numerous funded research projects. ELRC data scientists design and carry out evaluation studies comprised of large data sets.
• The Center for Advancing the Teaching and Learning of STEM (CATALYST) is an interdisciplinary research-oriented center that is jointly sponsored by the College of Education and the College of Science. CATALYST affiliated faculty are PIs and Co-PIs on various grants funded by NSF, Eli Lily Foundation, the Indiana Department of Education, and others which include large-scale data collection and analysis from K-12 and university STEM classrooms.
• Purdue Center for Serious Games and Learning in Virtual Environments conducts research on the use of serious games and virtual learning environments in education. Data science plays a key role in center projects related to personalized learning, simulations, learning management systems, and systems for creating visualization tools to guide education leader decision making.

Examples of Funded Research Involving the Collection and Analysis of Large-Scale Data:

• Leveraging the Lectura y Lenguage: A Collaborative Scale-up of Literacy and Language in Indiana Schools. U.S. Department of Education, $1.8 million. (Dr. Trish Morita-Mullaney, PI)
• Project PUEDE: Parental and Professional Understanding for Equity in Dual Language Education. U.S. Department of Education, $1.9 million. (Dr. Trish Morita-Mullaney, PI)
• Project Einstein: Excellence in STEM Teaching in Indiana. NSF, $1.4 million. (Dr. Lynn Bryan, PI)
• Para-Impact: Professional Development with Teacher-as-Coach for Paraeducators of Elementary Students with Moderate-to-Severe Development Disabilities, $1.4 million, U.S. Department of Education. (Rose Mason, PI)
• Collaborative Research: Theoretical and Methodological Tools for Studying Group Productive Disciplinary Engagement. $1.1 million, NSF. (Dr. Toni Rogat, PI)
• Collaborative Research: Identity Development Evaluation of African American Students (IDEAAS): A Longitudinal Study. $555,000, NSF. (Dr. Eric Deemer, PI)
• Exploring Biological Evidence (EBE): Helping students Understand the Richness and Complexity of Evidentiary Constructs in Biology. $1.3 million, NSF (Dr. Ala Samarapungavan, PI)
• LifeSTEM: The integration of Engineering Design and Life Science: Investigating the influence of an intervention on student interest and motivation in STEM fields. $1.8 million, NSF. (Dr. Selcen Guzey, PI)
• I-TEST: Teacher and Researchers Advancing Integrated Lessons in STEM (TRAILS). $964,000, NSF. (Dr. Todd Kelly, PI)
• LETS Science: Language-Enhanced Teaching in Superdiverse High School Science Classrooms. $847,000, NSF. (Dr. Minjung Ryu, PI)
• Unchartered Waters: A Large-scale Secondary Data Analysis of National Assessment of Education Progress (NAEP) Civics Achievement Scores Across School Types. Research Refresh grant. (Dr. Chrystal Johnson, PI)

Other data-science related projects and resources in the College of Education include the following:

• Purdue University Psychometric Investigation Laboratory (PUPIL)
  Computer lab with advanced statistical, quantitative, and qualitative data analysis software. Consulting space and services to assist faculty and students with research design and analysis.
• Charles R. Hicks Professor in Education
  This named endowed chair professorship is held by a scholar with expertise in advanced quantitative data analysis methods. Current Hicks Chair, Dr. Hua-Hua Chang, is an internationally recognized expert in computer adaptive testing.
• Undergraduate Research Trainee Program (URT)
  Provides year-long research training and pairs undergraduate students with faculty to work on research projects.
• Devito Scholars
  Provides funding for freshman to conduct research with a faculty scholar and participate in a weekly seminar.
• Honors Program
  Honors students in the College of Education conduct an independent research project under the supervision of a faculty mentor.
• The Data Mine
  The College of Education is a collaborating partner on The Data Mine, a Purdue University Wide Learning Community.