Skip to main content

Office of Educational Measurement, Evaluation, and Analytics

“Data-driven insights about how undergraduates learn, flourish, and navigate through college.”

 

Assessment
How can curricula be informed and improved with assessment efforts?
Multi-Modal Assessment of High-Structure, Active Learning
How do we measure the extent to which HSAL is occurring and changes in teaching approaches over time?
Sathy, Hogan, Panter
Keywords: Peer assessments of instruction, classroom sound, syllabus information value, instructional material, instructional use of time
UNC Check-In App
How do we ensure faculty and students have the ability to view their attendance record? How can faculty quickly identify students who have missed multiple classes & connect them to campus resources?
Sathy with ITS-Teaching and Learning Systems and Services
Keywords: attendance, student engagement, learning, instructional tools
Math Pathways: Expanding Quantitative Offerings in General Education
How do we create additional pathways to math success? How can we harness interest in data science and literacy to provide a high quality introductory quantitative reasoning course?
Green, Sathy, Vision, McLean, McLaughlin, Panter
Keywords: co-curricular, modular courses, data literacy, data science, quantitative reasoning

Program Evaluation
How do we evaluate initiatives that aim to provide innovative programs, teaching practices, and services to students?
Chancellor’s Science Scholars Program
How do we support underrepresented students, diversity, and inclusion in STEM? How do we equip students for postgraduate success in science fields?

Sathy, Panter with Atkins*, Dougan*, Dromgold-Sermen*, Greifer*, Haroon*, Halverson*, Moore*, Nehler*, Potter*
Keywords: Multi-site program evaluation, multimethod approaches, measurement, diversity and inclusion in science, Meyerhoff program

“IDEAS in Action” General Educational Curriculum Evaluation
How do we evaluate the fidelity of the new curriculum, as well as make modifications as needed?

Panter, Sathy, Hutson, Williford, Thompson
Keywords: first year seminars, first year launches, university 101, university writing, “triple I” (ideas, inquiry, and information), capacities, research and discovery, high impact practice, upper-level communication, campus engagement

Carolina Summer Bridge Program
How do we evaluate the short-term and long-term success of the Summer Bridge Program and ensure its efficacy for all participants?

Sathy, Panter with Collins, Chavis
Keywords: assessment, qualitative interviews

Lookout Scholars Program
How do we evaluate the short-term and long-term success of the Lookout Scholars Program and ensure its efficacy for its participants?

Sathy, Panter, Haroon* with Gonzalez
Keywords: assessment, qualitative interviews, first generation college students

KEEN: Increasing Access to Entrepreneurial Engineering Program
How do we evaluate the implementation of design-thinking in APS courses and support faculty development for changes to existing courses?

Sathy, Panter, Hogan, Hutson
Keywords: Engineering, entrepreneurial mindset, applied physical science, high impact and interdisciplinary research

Multi-site Evaluation of Meyerhoff Adaptation
What do we know about how STEM underrepresented students develop their scientific identity over time and the impact of different components of programs designed after the Meyerhoff?

Sathy, Panter, Maton, Sto. Domingo, Oseguera, Staples, ETS
Keywords: Multi-site program evaluation, multimethod approaches, measurement, diversity and inclusion in science, Meyerhoff program

New Methodological Directions in Higher Education
How can new data analytic approaches be harnessed to improve measures of teaching effectiveness?
Psychometric Analyses of Student Evaluations of Teaching
What do state-of-the-art analyses tell us about the quantitative and qualitative responses that students provide about their courses?
Cai (UCLA), Sturm (UCLA), Sathy, Panter, Huang* (UCLA)
Keywords: multilevel item response theory, differential item functioning, meta-approach to understanding student perceptions, characteristics of students, instructors, and courses
Natural Language Modeling of Student Perceptions of Learning and Instruction
What are students telling us about the courses they take and how does this vary based on who the student is, who the instructor is, and what the course is like?
Bansal, Sathy, Panter, Zhang*
Keywords: Natural Language processing in higher education, alternatives to traditional qualitative analyses, measurement, differential reporting, characteristics of students, instructors, and courses
Covariance Balance Methods and Causal Inference in Interventions Involving Small, Highly Selected Groups
How can researchers know what the effect of an intervention is when the intervention participants were highly selected at the start?
Greifer*, Sathy, Panter
Keywords: Intervention science, methodology, science interested students, measurement, covariance balance
Improving Undergraduate Education and Student Success in Introductory STEM Courses Via Campus Data Systems and Targeted Support for Self-Regulated Learning
How can researchers use information from thousands of past science students to nudge current students to perform academic behaviors associated with STEM success? Which data provide the most effective nudges for which students?
Greene, Bernacki, Gates, Panter, Urban* with Hogan, Evans
Keywords: student learning, big data, self-regulated learning, nudges, STEM education
The Finish Line Project: Randomized Controlled Trial of a Science of Learning Undergraduate Course
Does a first-year science of learning course focused on self-regulated learning benefit first generation college students? What differences emerge across conditions on conceptual knowledge and strategy use?
Greene, Lobczowski*, Freed*, Cartiff*, Demetriou, Panter
Keywords: self-regulated learning, computer use, science of learning

Data Visualization and Dashboard Development
How do we get data into the hands of educators and administrators to evaluate inclusion and equity (or improve student success)?
Dashboard Development and Visualization: MCAD
How do we provide data to faculty to improve their teaching and promote inclusive teaching practices?
Faculty Insights about Their Grading – My Course Analytics Dashboard
Sathy, Hogan, Clarke, Henshaw, Ricks, Boehm, Panter
Keywords: dashboard, increasing awareness about one’s own students, individual grading patterns over time
Assessment Dashboard Development for Program Leaders
How do we pool existing data across multiple programs to improve efficiency of services and the student experience navigating different offices on campus?
Waldie, Sathy, Panter with the Undergraduate Education Assessment Council
Keywords: data sharing, data visualization, silo removals, timely evaluations of organizational outcomes
College of Arts and Sciences Departmental Profile Dashboards
How do we provide data to decision-makers within a campus unit to identify pathways students take through their unit?
Panter, Sathy, Williford, Ricks