ACSI Research Fellow Program
The Research Fellowship program at ACSI offers a unique opportunity for talented researchers to contribute to advancing the field of Christian education while addressing critical global challenges. By fostering collaboration, knowledge exchange, and innovative research, the program aims to make a significant impact on the world stage.
Program Aims:
- Create a vibrant and inclusive international research community.
- Foster collaboration, knowledge exchange, and innovative solutions to address both US and global challenges through research projects in Christian education.
Program Oversight:
- The fellows will collaboratively work with ACSI’s research department and Thought Leadership and the Research Director will oversee the program.
ACSI Fellows Collaborate on Research to Advance Faith-Based Education
ACSI Fellows collaborate with the Thought Leadership team (Research Department) to develop research and Working Papers on important topics in education, spirituality, and culture, focusing on their impact within the realm of Christian education. Their work addresses current trends and challenges, offering valuable insights for advancing faith-based learning.

RiB is a biannual publication by ACSI, aimed at sharing the latest research findings and insights on the Christian school sector. It is available exclusively to ACSI member school and is managed by ACSI Director of Research.

Lynn Swaner Ed.D.
President of Cardus USA – ACSI Senior Research Fellow

Matthew Lee, Ph.D.
Clinical Assistant Professor of Economics at Kennesaw State University - ACSI Senior Research Fellow

Francis Ben, Ph.D.
Associate Professor & Head of Postgraduate Coursework and Research at Tabor College Adelaide Australia – ACSI Global Research Fellow

Alison Heape Johnson
PhD candidate at the University of Arkansas – ACSI Junior Research Fellow
Eligibility:
- Understanding of Christian education.
- Strong academic credentials (e.g., relevant degrees, publications, minimum a Ph.D. candidate in education programs for Junior Fellow and a Ph.D. or Ed.D. for Senior Fellow).
- Demonstrated research excellence.
- Experience in international research collaboration.
- Excellent English communication skills.
- Minimum five years experience of doing research.
Nomination and selection process:
- The selection of the fellows is done through ACSI’s internal nomination.
Seeing the Full Picture: Using CogAT® Ability Data to Enrich Student Learning in Private Schools
Data-driven instruction is a crucial component to enable student success in private school settings, where educators often have greater instructional flexibility and a mission to meet students' individual needs. Among the most valuable tools in an educator’s portfolio are the rich insights provided by the Iowa Assessments™ and the Cognitive Abilities Test™ (CogAT). While each provides meaningful data on its own, together they can unlock a deeper understanding of student learning when interpreted side-by-side.
Why Ability and Achievement Go Hand in Hand
Achievement scores, such as those from the Iowa Assessments, tell us what a student has learned. In contrast, CogAT measures reasoning abilities that underlie learning across three domains that contribute greatly to student learning and success in school: verbal, quantitative, and nonverbal/figural reasoning. By examining students’ current achievement through the lens of students’ potential, educators gain a more complete view of a student's learning profile.
This is especially important in private school environments, where the diversity in curriculum, enrichment offerings, and student backgrounds may result in wide variation in both ability and achievement. CogAT allows educators to better understand whether a student's performance aligns with their potential and where targeted support or enrichment might be needed.
The Power of Predicted Achievement Scores
One of the most powerful features of administering the Iowa Assessments in conjunction with CogAT is access to Predicted Achievement Scores. These scores provide an estimate of how a student might be expected to perform on the Iowa Assessments based on their cognitive ability.
When a student's actual achievement score matches their predicted score, it suggests that they are performing in line with their cognitive potential. If there is a significant mismatch where the student’s demonstrated achievement is lower than might be expected from their ability, it may indicate the presence of barriers to learning, such as gaps in prior instruction, language acquisition challenges, or engagement issues. Conversely, when students attain achievement that is higher than expected, this could highlight the impact of strong instruction, motivation, or other supports helping the student exceed expectations.
A Lens for Instructional Differentiation and Student Growth
An assistant school principal in Charleston County, South Carolina, Corrie Glover, reflects on her experiences using CogAT ability data to drive instruction for her students:
Focusing on ability allows schools to look for students who aren’t living up to their potential, the underachievers, the overachievers, and the outlier students. It helps us apply the intervention and enrichment necessary for their ability level.
The cognitive data gave us a broader perspective of our students. It allowed us to identify gaps that we might not have seen with achievement data alone. It also helped us uncover potential in students who were underperforming but had the ability to excel.
For private school educators, this dual-data approach supports both instructional differentiation and student growth. It helps educators:
Identify twice-exceptional learners whose high ability may be masked by low achievement
Provide data-driven enrichment for students performing at or above predicted levels
Offer targeted intervention for those not yet reaching their cognitive potential
Facilitate more nuanced conversations with families about student progress and needs
Moving from Scores to Action
The CogAT Guide for Teachers offers practical guidance for schools ready to take the next step. It outlines how to:
Interpret ability-achievement discrepancies using CogAT scores and instructional guidance based on each student’s Ability Profile™
Use predicted scores for context-specific analysis
Plan instruction that supports both content mastery and cognitive development
Final Thoughts
In a data-rich environment, the challenge isn't the lack of information—it's knowing how to connect the dots. By using CogAT ability data as a lens through which to interpret Iowa Assessments scores, private school educators can move from data collection to meaningful student insight.
This insight fuels differentiated instruction, supports student agency, and empowers schools to fulfill their mission of helping each student reach their full potential.
For more resources on interpreting CogAT and Iowa Assessment data together, visit Riverside Insights and CogAT.com.


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