Carol McDonald Connor


Carol McDonald Connor was an educational psychologist known for her research contributions to the field of early literacy development in diverse learners, in particular for work on individualized student instruction interventions and the lattice model of reading development. She held the position of Chancellor's Faculty and Equity Advisor in the School of Education at the University of California, Irvine.
Connor was the editor of The Cognitive Development of Reading and Reading Comprehension, a text on theories of reading comprehension development. She also co-edited Advances in Reading Interventions: Research to Practice to Research and co-authored Improving Literacy in America: Guidelines from Research .

Awards and Distinctions

In 2006, the IES awarded Connor with the Presidential Early Career Award for Scientists and Engineers for "innovative research in the development and evaluation of an instructional tool to improve literacy instruction" for her research on individualized student instruction interventions.
In 2007, the American Psychological Association awarded Connor with the Richard Snow Award for “significant contributions to the field of educational psychology.”
Connor was named a 2015 fellow of the American Education Research Association and a 2016 fellow of the APA.
Other awards include:
Connor began her career in speech-language pathology. After receiving B.S. and M.S. degrees in Speech-Language Pathology from Northwestern University, she spent over ten years working as an ASHA certified speech-language pathologist in Utah, Massachusetts, and Illinois.
In the early 90s, she accepted a position as a speech-language pathologist at the University of Michigan Medical Center, where she spent five years working with deaf children with cochlear implants. In a 2018 interview with UC Irvine's Dean Richard Arum, Connor cites her experience at the Michigan Medical Center in her transition to literacy research, as she became interested in the reading gap between hearing children and deaf children with implants.
She received her PhD in Language, Literacy, and Culture from the University of Michigan, Ann Arbor in 2002, under the supervision of Holly K. Craig. She did her post-doctoral work with Frederick J. Morrison at the University of Michigan.
Since 2002, Connor worked as a research scientist and professor around the country, including at the University of California, Irvine, Arizona State University, Florida State University, and the University of Michigan, Ann Arbor.
She was married to Jay Connor, who is the founder and CEO of a company that uses Connor's Assessment-to-instruction software. They have three children.

Research

Individualized Student Instruction and Child-by-Instruction Interaction Effects
Much of Connor's research has been fostered by a conviction that individual differences matter when it comes to reading instruction.
In 2004, Connor was the Principal Investigator of a three-year grant from the Institute of Education Sciences to develop the Individualized Student Instruction intervention system, which includes the A2i software. The intervention consists of a teacher training program and professional development in the design of targeted, individualized instruction, generally delivered to small groups of students with similar instructional needs. The A2i software supports teachers in developing individualized student instruction plans with specific recommendations on the type and quantity of instruction needed based on assessment data generated several times throughout the school year. The software employs algorithms that make use of the child-by-instruction effects that Connor has documented in her research, by which specific types of instruction are more or less effective for individual students depending on the specific skills they have at the time of instruction.
Randomized control studies showed that reading outcomes in ISI classrooms were significantly better than those in control classrooms, in Kindergarten through third grade. Connor was also the principal investigator on several follow-up grants on the project, including a four-year grant to make A2i software accessible to educators in more contexts and without extensive and ongoing researcher support.
The Lattice Model of Reading Comprehension
Connor borrowed the concept of a Lattice Model from the field of Economics and applied it to the development of reading comprehension. Her model describes the process of learning to understand reading as nonlinear, wherein "language, literacy, cognitive, social, and other environmental factors" develop in a mutual feedback process over time. The model incorporates several previous models of reading comprehension and child development with the addition of child-instruction interaction effects, putting together numerous child characteristics and home- and classroom-characteristics that interact as a system over time. She developed and applied this model during her time working on the Florida State University team of the IES with Principal Investigator Christopher J. Lonigan.
Recent Work
In 2017, Connor received a four-year IES grant to develop electronic-books intended to provide adaptive support to improve reading comprehension, including strategies such as word learning, question generation, and summarization. She was the project's Principal Investigator, with co-investigator Danielle McNamara.
Connor was also the Principal Investigator of the Assessment Team of the Early Learning Research Network, which seeks to develop tools and policies that positively impact early learning outcomes through third grade. Connor's team is developing a technology-supported classroom observation system, the Optimizing Learning Opportunities for Students Early Learning Observation System. The Network describes it as “an innovative, multidimensional assessment system” that will “generate reports to match effective recommended instructional practices with observed learning opportunities.” The work is supported by a five-year grant from the IES that began in 2016.

Representative Publications