EDAD 6948 A01: Data Driven School

EDAD 6948 - Data Driven School Improvement and Program Evaluation

Fall 2026 Syllabus, Section A01, CRN 43043,

Credit hours: 3

Course Meeting Times

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Instructor

Christopher Rateno

Email: cjrateno@ysu.edu

Public Instructor Information

Instructor Title: Christopher J. Rateno Ed.D.
Instructor Professional Qualifications: Ed.D. Leadership, Youngstown State University - 2018
Instructor Office Location: Adjunct
Instructor Office Phone: 330-341-3251

Private Instructor Information

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Course Description

6948. Data Driven School Improvement and Program Evaluation.This course examines the integral impact data-informed decision management has on educational accountability and the efficacy of program initiatives that facilitate standards for improvement in the classroom, building, and district level. Comprehensive data retrieval, analysis, and interpretation are invaluable to promote equitable and culturally responsive leaders who foster not only school improvement, but also a climate where accountability for students reaches further than academic performance.

Course Readings

Group Title Author ISBN
Required

Required Text/Resources

Goldring, E., & Berends, M. (2009). Leading with Data: Pathways to Improve Your School. Thousand Oaks, California: Corwin Press 

Recommended Text/Resources

Publication Manual of the American Psychological Association. 6th Edition.

Required Readings – 

Bernhardt, V. L. Measuring What We Do in Schools: How to Know If What We Are Doing Is Making a Difference,Chapters 1, 2, & 4 ASCD, 2017, pp. 1-25; 52-65. Gale. 

Bernhardt, V. L., (1998, March). Multiple Measures. California Association for Supervision and Curriculum Development (CASCD). 

Couros, G. (2015). The Innovator’s Mindset: Empower Learning, Unleash Talent, and Lead a Culture of Creativity, pp 81-92.  Dave Burgess.  

Summey, Dustin C. (2013) Developing Digital LiteraciesA Framework for Professional Learning, 2013, pp. 1-21 Corwin.  

Crompton, H., Burke, D., Jordan, K., & Wilson, S. W. G.. Learning with technology during emergencies: A systematic review of K-12 education. British Journal of Educational Technology. 2021; 52: 1554– 1575. https://doi.org/10.1111/bjet.13114 

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Additional Course Materials

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Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Schedule of Topics and Assignments

Week of Reading(s) Proposed Topic Due/To Prepare for Class
8/24 Syllabus Course Direction and Requirement Goldring Chs 1-3 Course overview Getting started with data (why data, & what data) Overview to data types available Posting 1. Data Usage: Where, What, and How
8/31 Bernhardt Articles Toldson Article Manipulating and analyzing data from multiple sources. Discussion Posting Task 2: Data types and possible data interaction Horizon Data Analysis Report
9/7 Couros Ch. 5 Summey Ch. 1 Crompton Et el. Goldring Ch. 7 Using technology effectively for continuous school improvement ● Needs of 4 levels of stakeholders ● Leading Data Conversations Application of technology in data communication Discussion Posting Task 3: Possible Stakeholders and Resources ISTE Technology Assessment (Posted to BlackBoard and SLL)
9/14 Goldring Chs 4-6 Castro, Germain & Goodman (2018). Increasing Diversity in K-12 Leadership What Data Means: How to make sense of data? High Quality Student Data Discussion Posting Task 4: Data Driven Online Decision Final Project Parts 1 & 2(3 Types of Available Data and preliminary analysis)
9/21 Goldring Chs 8-9 Communicating Data Effectively 5 Step Process/Evidence Based Interventions Discussion Posting 5: Group solution of a data report critique (provided by instructor) Final Project Part 3 (Logic Model)
9/28 Goldring Ch 10 Toward Continuous Program Improvement Develop action plan guided by data and monitor for fidelity and effectiveness ● Connect data results with needs ● Connect data results with actions ● Connect action with time ● Connect action with vision and stakeholders ● Connect data results with educators for accountability School Improvement Action Plan Part 4 (formative) Peer critique for final project
10/5 Using Data for Organizational Learning and Capacity Building (Measure Up) Final Project Due: Comprehensive Exams: Upload all assessment artifacts onto SLL

The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning. 

Additional Information

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