learning analytics fellows program - class.indiana.edu · role of peer networks in student choice...
TRANSCRIPT
Learning Analytics Fellows Program Center for Learning Analytics and Student Success
Introduction
In 2015, the Office of the Vice Provost for Undergraduate Education initiated
the Learning Analytics Fellows Program (Fellows), a multidisciplinary Community
of Transformation1 made up of faculty from across the Bloomington Campus.
Faculty engage in scholarly research that uses learning analytics to analyze student
success in their courses, curriculum, and programs to advance IUB’s strategic plan and
its commitment to improved student success. Participating faculty gain the knowledge
and skills necessary to use learning analytics to make data-guided decisions about
student success at the course, program, and university levels1.
Since 2015, forty-two faculty members:
• participated from 22 different
disciplines
• conducted 33 unique research
projects
• studied 110,000 individual
students
• analyzed 3.8 million student
recordsDistribution of fellows by academic field
1 Rehrey, G., Groth, D., Shepard, L., Fiorini, Stefano, & Hostetter, Carol. (2018). Implementation of a Student Learning Analytics Fellows Program. In
A. Pardo, K. Bartimote, G. Lynch, S. Buckingham Shum, R. Ferguson, A. Merceron, & X. Ochoa (Eds.), Companion Proceedings of the 8thInternational Conference on Learning Analytics & Knowledge. Sydney, Australia: Society for Learning Analytics Research.
Seventeen faculty fellows returned for second and third years to
continue researching student success.
QUICK FACTS Academic
Support 10%
STEM 23%
Arts & Humanities 27%
Social Sciences 23%
Professional Schools 17%
Learning Analytics Fellows Program Center for Learning Analytics and Student Success
“Research Interests
Empowering faculty to use learning analytics requires administrative
support and collaborations with institutional data experts. In conducting
their research LA Fellows:
• identify meaningful questions
• operationalize those questions with data
• reflect upon data analysis
• design interventions
• access results before going public with their results
In general, faculty research has focused on four broad categories of
factors that influence student success: choice, demographics,
performance and preparation. Studies analyzed these factors to varying
degrees at the course, program and university levels.
My
participation in the Fellows program completely transformed me and turned me into a bit of a zealot for student success.
—IUB Faculty Fellow, 2015
Data-Informed Culture
Early adoption by Fellows to use analytical data, and their ongoing research about
student success, will continue to contribute to institutional efforts to create a culture
and campus citizenry at IUB that values data-informed decision making, with the
ultimate goal of improving success for all students .2
2 Rehrey, G., Groth, D., Hostetter, C., & Shepard, L. (2019). The scholarship of teaching, learning, and student success: Big data and the landscape of new opportunities. In J. Friber & K. McKinney (Eds.), Conducting and applying the scholarship of teaching and learning beyond the individual classroom level. Bloomington, IN: IU Press.
27.0% 17.0% 10.0%
27.0% 28.0% 14.0%
31.0% 15.0% 10.0%
31.0% 14.0% 12.0%
Choice: Major(s), inflect ion points,
graduat ion pathways
Demographics: Race, ethnicity, class
standing, economic status
Performance: persistence, retent ion,
graduat ion rates, GPA
Preparation: Pre-college courses,
curricula, remedial educat ion
programs
0% 10% 20% 30% 40% 50% 60% 70%
Course Level Program Level University Level
Learning Analytics Fellows Program Center for Learning Analytics and Student Success
Student Learning Analytics Projects
Project abstracts, full proposals and completion reports are available at the Center for Learning Analytics and Students Success http://go.iu.edu/1SVy
2015
Beyond Surveys and Data Mining: Searching for New and Potentially More Useful Indicators of Student Engagement
Principal Investigator: Daniel Hickey (Education Counseling & Psychology)
Finding the Keys to Success Proposal for Learning Analytics Fellowship for Business X201
Principal Investigator: Kari Johnson (Business)
An Inquiry into Student Purpose and Motivation as Catalysts for Retention
Principal Investigator: Molly Burke (The Student Academic Center)
Learning Analytics in RPTS: The Impact of Two Courses on Student Performance, Major Selection, and Degree Completion
Principal Investigator: Jared Allsop Co- Investigators: Julia Knapp, Rasul Mowatt, Sarah Young (Recreation, Park, and Tourism Studies)
Undergraduate Legal System Courses and Where They Fit in the Curriculum for Best Learning Outcomes
Principal Investigator: Shannon Martin (The Media School—Journalism)
2016
Analyzing the Transition from Developmental to Supplemental Education
Principal Investigator: Daniel Hickey (Education Counseling & Psychology)
Ethical Innovations: Exploring How Moral Reflection Benefits Learning Analytics Development
Principal Investigators: James Willis, III & Joshua Quick (Education Counseling &
Psychology)
The HumAn Learning Project Phase II Principal Investigator: Jennifer Robinson (Anthropology)
Do general or specific characteristics of E201 and E202 affect the Principal Investigator: Paul Graf number of Economics majors? (Economics)
Principal Investigator: Jennifer Robinson (Anthropology)
The HumAn Learning Project: Humanities, Analytics, & Learning in a Multi-Section General-Education Course
Principal Investigator: Adam Maltese (Education—Curriculum & Instruction)
An Investigation of Factors Related to Student Choice of Academic Major at IUB
Principal Investigator: Katy Börner (Information & Library Science)
MOOC Visual Analytics Tools
Principal Investigator: Michael Kaganovich (Economics)
Determinants of Students’ Choices of Undergraduate Majors and the Program Strategies
Principal Investigator: Andrew Asher (Library Academic Services)
Evaluating the Effect of Course-Specific Library Instruction on Student Success
Learning Analytics Fellows Program Center for Learning Analytics and Student Success
Student Learning Analytics Projects
2016 (cont.)
Impact of the “Becoming the Best Student” and “You@IU”
Courses
Principal Investigator: Anthony Guest-Scott
(Academic Center)
Role of Peer Networks in Student Choice of Academic Major at IUB Principal Investigator: Adam Maltese
(Education—Curriculum & Instruction)
Using Analytics to Compare Student Demographics for Different Delivery Methods (Face to Face, Hybrid, Online) of AMST-A 100 What is America?
Principal Investigator: Vivian Nun Halloran (English & American Studies)
2017
Evaluating and Optimizing Homework and Quizzes to Increase Learning Outcomes in the Information Visualization MOOC
Principal Investigator: Katy Börner (Information & Library Science)
Evaluating the Impact of the Intensive English Program on Student Success at IU
Principal Investigator: Leslie Gabriele (Second Language Studies)
Evaluating the Teaching Effectiveness of Principles of Micro- economics Instruction at the IU Bloomington Campus Relative to Other Institutions
Principal Investigator: Paul Graf, Co-Investigator Gerhard Glomm (Economics)
Exploring relationships Between the New Indiana Academic English Test (IAET) and External Measures
Principal Investigator: Sun-Young Shin (Second Language Studies)
The Factors of Differential Grading Standards Across Academic Units
Principal Investigator: Michael Kaganovich
(Economics)
The Factors to and Impact of K303 Success Principal Investigator: Jie Li
(Business)
Human Expertise, Analytics, & Student Learning in Multi- Section General-Education Courses at Indiana University
Principal Investigators: Jennifer Meta Robinson (Anthropology), Co-Investigators: John Arthos (English), and Jill K. Robinson (Chemistry)
Learning Analytics for Students Majoring in Healthcare Management and Policy
Principal Investigator: Terri Renner
(School of Public & Environmental Affairs)
Measuring the Impact of Information Literacy Instruction on Assignment-Level Learning Outcomes
Principal Investigator: Andrew Asher (Anthropology & Library Academic Services)
Principal Investigator: Paul Graf (Economics)
Inflection Points of Economics Majors: A Closer Look at Enrollments in Intermediate Microeconomics (E321)
Principal Investigator: Kalani Craig (History)
S&H Fulfillment Patterns and Their Effect on Student Retention
Learning Analytics Fellows Program Center for Learning Analytics and Student Success
2018
Using Analytics to Evaluate Influences on Student Learning Outcomes in a GenEdScience Course
Principal Investigator: Simon Brassell (Geology)
Using Analytics to Evaluate Influences on Student Learning Outcomes in a GenEd Science Course
Principal Investigator: Simon Brassell (Geological Sciences)
Evaluating the Teaching Effectiveness of Principles of Microeconomics Instruction at IU Bloomington Campus Relative to Other Institutions
Principal Investigator: Gerhard Glomm, Co-Investigator, Paul Graf (Economics)
Determinants of Student Attrition Principal Investigator: Michael Kaganovich (Economics)
How Does the Sequencing of Major Courses Influence Student Success?
Principal Investigator: Jie Li
(Business)
Evaluating Student Performance in C118 and N330 Based on Prior Academic Performance
Principal Investigator: Meghan Porter
(Chemistry)
Learning Analytics for Students Majoring in Healthcare Management and Policy
Principal Investigator: Terri Renner (School of Public & Environmental Affairs)
Mitigating Grade Surprise: A Study of Students’ Grade Expectations Using Learning Analytics and Assignment Performance in General Education Courses at Indiana University
Principal Investigator: Jennifer Robinson. Co-Investigators: Jill Robinson, John Arthos, Nina Onesti, Logan Paul, Chung-chieh Shan and Sam Tobin-Hochstadt (Anthropology, Chemistry, English, Informatics and Computer Science)
Evaluating the Effectiveness of Integrated Information Literacy Instruction on Student Outcomes in the English W131 Multilingual Curriculum
Principal Investigators: Katherine Silvester and Andrew Asher (English and Anthropology)
Tracking Student Movement in the SPHB through Learning Analytics Principal Investigator: Sarah Young. Co-Investigators: Jarod Allsop, William Ramos, Donetta Cothran, Maresa Murray and Dohyun Lee
(Recreation, Park, and Tourism Studies)
For more information about the Learning Analytics Fellows Program
please contact George Rehrey, Director, The Center for Learning Analytics and Student Success
812-856-4231