Human Development

Human Development

Department Mission

The Department of Human Development is devoted to promoting an understanding of human development in families, schools, and institutions across the lifespan. The department provides social scientists and educators with theories, empirical methods, and analytical tools for understanding and conducting research in human development and cognition and for helping solve educational and psychological problems.

Department Programs

Department Faculty

Faculty

  • Jason Barr
    Associate Provost and Coterminous Associate Professor
  • Chia-Yi Chiu
    Associate Professor Applied Statistics
  • James E Corter
    Professor of Statistics and Education
  • Lawrence T DeCarlo
    Professor of Psychology and Education
  • Bryan Sean Keller
    Associate Professor of Practice in Applied Statistics
  • Young-Sun Lee
    Associate Professor of Psychology and Education
  • Xiaodong D Lin
    Cleveland E. Dodge Professorship in Cognitive Studies
  • Gary J Natriello
    Ruth L. Gottesman Professor in Educational Research
  • Emily Quinn Rosenzweig
    Associate Professor of Developmental Psychology
  • Robert Stuart Siegler
    Jacob H. Schiff Foundations Professor of Psychology and Education
  • Youmi Suk
    Assistant Professor of Applied Statistics
  • Sonya Violet Troller-Renfree
    Assistant Professor, Developmental Psychology
  • Tyler Wayne Watts
    Associate Professor of Psychology and Education
  • Renzhe Yu
    Assistant Professor, Learning Analytics / Educational Data Mining

Professors of Teaching

  • Laura Mielcarek DeRose
    Assistant Professor of Teaching
  • Jie Gao
    Assistant Professor of Teaching
  • Yasemin Gulbahar Guven
    Associate Professor of Teaching
  • Talia Robbins
    Assistant Professor of Teaching

Emeriti

  • John B Black
    Cleveland E. Dodge Professor Emeritus of Telecommunications & Ed.
  • Jeanne Brooks-Gunn
    Virginia/Leonard Marx Professor Emerita of Child & Parent Development and Edu
  • Herbert P Ginsburg
    Jacob H. Schiff Foundations Professor Emeritus of Psychology & Education
  • Deanna Kuhn
    Research Professor Emerita of Psychology and Education
  • Barbara Tversky
    Professor Emerita of Psychology and Education
  • Joanna P Williams
    Professor Emerita of Psychology and Education

Adjunct Faculty

  • Stephanie Carmela Buono
    Adjunct Assistant Professor
  • Jun Li Jennifer Chen
    Adjunct Faculty - Department of Human Development (Spring/Summer 2026)
  • Chad J. Coleman
    Adjunct Assistant Professor
  • Michael Jeffrey Dean
    Adjunct Associate Professor
  • Joseph Henry Grochowalski
    Adjunct Faculty - Department of Human Development
  • David Guralnick
    Adjunct Full Professor
  • Syntia Hadis
    Adjunct Assistant Professor
  • Michael Alan Hanchett Hanson
    Adjunct Full Professor
  • Jayadhurganandh Jayaraman
    Adjunct Associate Professor
  • Jamie L. Krenn
    Adjunct Associate Professor
  • Daniel Lerman
    Adjunct Professor
  • Ilya Alex Lyashevsky
    Adjunct Assistant Professor
  • Kerry M. Matlosz
    Adjunct Assistant Professor
  • Jaylene Patterson
    Adjunct Assistant Professor
  • Lauren Kelly Schiller
    Adjunct Assistant Professor
  • Katrina Rose Simon
    Adjunct Faculty - Department of Human Development, Fall 2025
  • Huiyun Tseng
    Adjunct Assistant Professor
  • Lauren Ashley Young
    Adjunct Assistant Professor
  • Doris Zahner
    Adjunct Assistant Professor

Instructors

  • Chenguang Pan
    Part-Time Instructor: Department of Human Development

Department Courses

HUD4120 Methods of empirical research

An introduction to the methods of scientific inquiry, research planning, and techniques of making observations and analyzing and presenting data.

HUD6500 Proseminar in Human Development

Presentations and discussions of research by faculty, visiting scholars, and students.

HUDK4011 Networked and Online Learning

The course explores the social dimensions of online learning. The course begins by reviewing the uniquely social dimensions of learning in general and then turns to an examination of the transition to the information age that has made online or networked learning possible. The course next covers how traditional social forms such as classrooms, schools, professions, and libraries have been represented in online learning venues followed by consideration of new and emerging social forms such as digital publishing, social networks and social media, adaptive learning technologies, and immersive and interactive environments. The course concludes by examining macro-level factors that shape the opportunities for online learning.

HUDK4012 Learning in Small Groups

Introduces the theoretical perspectives and associated research that inform thinking about learning in small groups. The course is organized as a series of projects that call on students to develop strategies and practices for structuring and supporting student learning in small groups. Students completing the course will be equipped to design, implement, support, and assess learning in small group settings and to conduct research that extends knowledge in the area.

HUDK4015 Psychology of thinking

Examines cognitive psychology theories and research about various kinds of thinking, what each kind is best suited for, and problems people have with it. Also examines the best ways of learning from each kind of thinking. Critically examines the various thinking skills curricula that have been proposed.

HUDK4021 Developmental psychology: Infancy

Review of research and theory in early perceptual, cognitive, and social/emotional development, with particular attention to the interaction of biological and environmental factors in early life.

HUDK4022 Developmental psychology: Childhood

Children's cognition, perception, representation, language, affect, personality, and sexuality. Family structure and school as they influence these aspects of childhood.

HUDK4023 Developmental psychology: Adolescence

Theoretical and empirical studies of classic and current theories of how adolescents construct their identity and develop physically, cognitively, morally, emotionally, and socially.

HUDK4025 Cognition and Handheld Devices

Examination of mobile phone technologies, designing learning activities for mobile phones, and pedagogical and theoretical frameworks.

HUDK4027 How Children Learn Math

The development of informal and formal mathematical thinking from infancy through childhood with implications for education.

HUDK4029 Human cognition and learning

Cognitive and information-processing approaches to attention, learning, language, memory, and reasoning.

HUDK4031 Data, Testing, and Meritocracy

Individuals in modern societies live in a world in which evaluation is ubiquitous. More and more aspects of our performances are subject to informal and/or formal assessment. Everything from our health as infants, to our performance in schools as youngsters, our potential to benefit from higher education, and our capacity to contribute in the workplace is evaluated. This course examines the social dimensions of the development and operation of different kinds of evaluation systems in modern societies. Major topics include the social, political, and intellectual contexts for evaluation, the institutional bases of evaluation activities, the social settings in which evaluation takes place, and the effects of evaluations on individuals and groups

HUDK4035 Technology and human development

Examines the use and design of various educational technologies (computer software, multimedia shareware, TV, World Wide Web sites, etc.) from the perspective of basic research and theory in human cognitive and social development. Provides a framework for reasoning about the most developmentally appropriate uses of technology for people at different ages.

HUDK4050 Core methods in Educational Data Mining

The Internet and mobile computing are changing our relationship to data. Data can be collected from more people, across longer periods of time, and a greater number of variables, at a lower cost and with less effort than ever before. This has brought opportunities and challenges to many domains, but the full impact on education is only beginning to be felt. Core Methods in Educational Data Mining provides an overview of the use of new data sources in education with the aim of developing students’ ability to perform analyses and critically evaluate their application in this emerging field. It covers methods and technologies associated with Data Science, Educational Data Mining and Learning Analytics, as well as discusses the opportunities for education that these methods present and the problems that they may create. The overarching goal of this course is for students to acquire the knowledge and skills to be intelligent producers and consumers of data mining in education. By the end of the course students should be able to systematically develop a line of inquiry utilizing data to make an argument about learning and be able to evaluate the implications of data science for educational research, policy, and practice.

HUDK4051 Learning Analytics: Process and theory

Learning Analytics, Theory & Practice provides advanced techniques in the use of new data sources in education with the aim of developing students’ ability to perform analyses and critically evaluate their application in this emerging field. It covers methods and technologies associated with data science, machine learning and learning analytics, as well as discusses the opportunities for education that these methods present and the problems that they may create.

HUDK4052 Data, Learning, and Society

Introduction to multiple perspectives on activities connected to progress in our capacity to examine learning and learners, represented by the rise of learning analytics. Students develop strategies for framing and responding to the ranges of values-laden opportunities and dilemmas presented to research, policy, and practice communities as a result of the increasing capacity to monitor learning and learners.

HUDK4054 Managing educational data

Attaining, compiling, analyzing, and reporting data for academic research. Includes data definitions, forms, and descriptions; data and the research lifecycle; data and public policies; and data preservation practices, policies, and costs.

HUDK4080 Educational psychology

Examines landmark issues in educational psychology, highlighting philosophical underpinnings and empirical evidence, tracing each issue from its roots to contemporary debates and evaluating current educational practice.

HUDK4901 Research and independent study

Permission required.

HUDK4902 Research and independent study

Permission required.

HUDK5011 Cognition of Social Emotional Learning

The purpose of this course is to function as an introduction to the topic of social emotional learning and the cognitive mechanisms that underlie it. Through readings, discussion, hands-on exercises, and an interest-based final project, the course will cover such topics as the nature of emotion, the processes of emotion generation and regulation, and emotions’ role in decision-making and behavior; research on theory of mind, perspective taking and empathy; as well as the development of and individual differences in social emotional skills. The course will also focus on the instructional components of SEL, emphasizing research on effective teaching methodologies, SEL measurement instruments, and analysis of existing SEL programs. Throughout, emphasis will be placed on grounding concepts in concrete examples of human behavior drawn from the arts as well as students’ own experience.

HUDK5020 The development of creativity

Major theories and contemporary research in creative work, emphasizing case studies of exceptional and historically influential individuals.

HUDK5021 Development of creativity: The case study method

Seminar focusing on the case study method for understanding the principles and concepts underlying creative individuals and their products.

HUDK5023 Cognitive development

Theory and research on the development of cognitive processes across the lifespan.

HUDK5024 Language Development

Survey of research and theory in the development of language, beginning with communication and the origins of language in infancy and emphasizing acquisition of the forms of language in relation to their content and use.

HUDK5025 Spatial thinking

Analyzes research on how people learn, mentally represent, mentally transform, describe, and act on the spaces they encounter. Mental models of and transformations of space underlie the way people think about abstract domains, so thought about space has implications for thought in general. Implications for education and HCI are considered.

HUDK5027 Moral development

Investigation of the major theoretical and empirical approaches to the study of how morality develops with particular emphasis on the behaviorist, cognitive, psychoanalytic, and sociopolitical approaches.

HUDK5028 Spiritual Development Across the Lifespan

This course concentrates on the role of spirituality on human development using a multidisciplinary focus. Spiritual traditions are examined using stage theory and parallel theories from other fields.

HUDK5029 Development and socialization across the lifespan

Theory and research regarding the interaction between naturally developing personality structures and socialization processes throughout life.

HUDK5030 Visual explanations

Surveys production and comprehension of visualizations ranging from ancient cave paintings and petroglyphs to diagrams, charts, graphs, comics, picture books, photographs, gesture, and film to extract and apply techniques for conveying objects, actions, forces relations, and emotions, meanings that are both inherently visible and non-visible. Implications for education, art, media, and HCI are drawn.

HUDK5035 Psychology of media

Covers psychological theories and research that relate to various media and what people learn directly and indirectly from them.

HUDK5037 Psychology of children’s television

Explores television-related media designed for pre-schoolers and young children from cognitive and developmental perspectives. Focuses on the psychological roles of television in regard to family and peer relationships, education, and social issues. Topics include hidden/visible curriculum development and cognitive research techniques relative to production.

HUDK5040 Development and psychopathology: Atypical contexts and populations

Using contemporary research as the basis, the focus is on the interface between classical developmental psychology theories and patterns of development identified in atypical contexts (e.g., poverty) and among atypical populations (e.g., resilient youth). Implications for interventions and policy are also discussed.

HUDK5042 Motivation in Education

Overview of student motivation in an academic context from a cognitive psychology perspective. Examines theories of academic motivation, their constructs, and linkages between constructs and student engagement and academic achievement.

HUDK5053 Learning Analytics Practicum

Learning Analytics Practicum is a core course of the M.S. in Learning Analytics Program and a gateway for students to transition from their education to a professional career. The course introduces principles and procedures in real-world educational data problems, provides support for students’ capstone projects with external organizations, and helps students access resources and develop skills necessary for a career in education and data science.

HUDK5063 Cognitive development beyond childhood

Examination of all aspects of cognitive functioning over the major portion of the life cycle that occurs beyond childhood, addressing both common patterns and individual and cultural variations. A particular focus will be critical examination of the research methods by which such knowledge is gained.

HUDK5090 Psychology of language and reading

Basic theories, empirical findings, and educational applications in the psychology of language and reading: the cognitive processes involved in the perception and production of oral and written language.

HUDK5100 Supervised Research & Practice

 

HUDK5121 Children's Social and Emotional Development in Context

Contemporary theory and research on children adaptation to developmental tasks of childhood. Comparison of typical and atypical pathways in social-personality development. Analysis of the logic and method of empirical studies of development.

HUDK5125 Cross-cultural psychology

Survey of psychological studies of development in different cultures, with emphasis on perceptual and cognitive issues and methodological problems specific to cross-cultural research.

HUDK5135 Poverty, Inequality, and Child Development

The overall goal of the course is for students to gain understanding of how income and child development intersect. Students will learn about poverty and child development from psychological, economic, sociological, demographic, and biological perspectives

HUDK5197 The Psychology of E-learning in Business and Industry

This course will focus on the design of online learning experiences in workplace environments, from a perspective that looks to put academic research into practice. Real-world cases, including numerous demonstrations of real-life courses and systems, will be used to explore uses of online learning in the workplace for both training and “just-in-time” performance support purposes. This course will cover a variety of online learning methods, including simulations, games, mobile learning, social learning, uses of artificial intelligence, and learning in virtual reality environments. The methods and case studies will be examined with an eye toward relevant research in the areas of education, software usability, and cognitive psychology. Potential career paths for someone interested in the field of workplace e-learning will also be discussed.

HUDK5324 Research Work Practicum

Students learn research skills by participating actively in an ongoing faculty research project.

HUDK5500 Capstone in Developmental Psychology

The Capstone in Developmental Psychology course will provide students with guidance and mentorship as they prepare their thesis project for the Master's in Developmental Psychology degree. The course will heavily cover issues around academic writing, and will also provide professional development to students as they prepare to leave the program.

HUDK6013 Early childhood development and education: Integrating research and policy perspectives

Two-semester course taught by faculty from Human Development and Education Policy and Social Analysis. Course links research and policy perspectives on early childhood with a focus on contemporary challenges in the field.

HUDK6036 Child and Family Policy I

Provides a multi-disciplinary perspective on child and family policy. Also provides a foundation of knowledge concerning the role of child and family perspectives in informing policy.

HUDK6037 Child and Family Policy II

Prerequisites: Any two of the following: HUDF 4000; HUDF 4024; HUDK 4021; HUDK 4022; C&T 4113; C&T 5113. Provides a multi-disciplinary perspective on child and family policy. Also provides a foundation of knowledge concerning the role of child and family perspectives in informing policy.

HUDK6520 Development Over the Lifespan: Doctoral Seminar

Permission required. How people become socialized and how psychology deals with the process in terms of developmental concepts.

HUDK6523 Seminar in cognitive development

Permission required. Advanced topics in research and theory in cognitive development.

HUDK6529 Seminar in risk, resilience and developmental psychology

Permission required. Students participate in ongoing research.

HUDK6539 Research practicum in educational psychology, cognition, and learning

Permission required. Limited to doctoral candidates in psychology.

HUDK6901 Advanced research and independent study

Permission required.

HUDK6902 Advanced research and independent study

Permission required.

HUDK7501 Dissertation seminar

Permission required. Development of doctoral dissertations and presentation of plans for approval. Registration limited to two terms.

HUDK7502 Diss Sem:Human Cognit & Learn

Permission required. Development of doctoral dissertation and presentation of plans for approval. Registration limited to two terms.

HUDK8900 Dissertation advisement - Developmental Psychology

Individual advisement on doctoral dissertation. Fee to equal 3 points at current tuition rate for each term. See the section on Continuous Registration for Ed.D./Ph.D. degrees for details.

HUDK8901 Dissertation Advisement - Human Cognition/Learning

Individual advisement on doctoral dissertation. Fee to equal 3 points at current tuition rate for each term. See catalog section on Continuous Registration for Ed.D./Ph.D. degrees.

HUDM4050 Introduction to measurement

An introduction to basic concepts and issues in measurement. Descriptive statistics, scales of measurement, norms, reliability, validity. Advantages and limitations of measurement techniques are discussed and illustrated.

HUDM4120 Basic concepts in statistics

Designed as a one‑semester introduction to statistical concepts and methods. An overview of data analysis techniques, including organizing, graphing, analyzing, reporting, and interpreting data. Both descriptive and inferential techniques will be introduced. Use of statistical software is discussed.

HUDM4122 Probability and statistical inference

An introduction to statistical theory, including elementary probability theory; random variables and probability distributions; sampling distributions; estimation theory and hypothesis testing using binomial, normal, T, chi square, and F distributions. Calculus not required.

HUDM4125 Statistical inference

Prerequisite: Course in Calculus. Calculus-based introduction to mathematical statistics. Topics include an introduction to calculus-based probability; continuous and discrete distributions; point estimation; method of moments and maximum likelihood estimation; properties of estimators including bias and mean squared error; large sample properties of estimators; hypothesis testing including the likelihood ratio test; and interval estimation.

HUDM4901 Research and independent study: Measurement and evaluation

Permission required.

HUDM4902 Research and independent study: Applied statistics

Permission required.

HUDM5000 Statistics Lab

Students in this lab must also be enrolled in HUDM 5122 or HUDM 5123.

HUDM5001 Programming for Data Science

This course is an introduction to essential programming concepts, structures, and techniques for data science. Topics covered include data types, data structures, control statements, and functions, using the NumPy and Pandas libraries in the programming language Python. The course also covers version control using GitHub and database management using SQLite. Additionally, the course includes content on data visualizations and coding practices using AI.

HUDM5026 Intro to Data Analysis in R

Prerequisite: HUDM 4122 or HUDM 4125. This course provides an introduction to the R language and environment for statistical computing with an emphasis on the application of fundamental graphical and statistical techniques. While some theory will be presented (for example, when discussing regression models), the focus will be on implementation and interpretation as opposed to study of the statistical properties of the methods.

HUDM5058 Choice and decision making

Surveys research on psychological judgment and decision making, including historical and modern versions of utility theory, Tversky and Kahneman's influential Prospect Theory, emotion and decision making, decisions from experience, and decisions in a social context. The focus is on psychological or descriptive models of how people make decisions, although methods for decision analysis are briefly discussed.

HUDM5059 Psychological measurement

A previous course in statistics or measurement is recommended. An in-depth examination of measurement and associated techniques, norms, classical test theory, reliability, validity, item response theory, issues, and applications.

HUDM5122 Applied Regression Analysis

Prerequisite: HUDM 4122, HUDM 4125, HUDM 4120 or equivalent. This course is an introduction to regression with emphasis on the practical aspects. Topics include: simple linear regression, multiple linear regression, regression with categorical independent variables and/or interactions, role of assumptions, model diagnostics, and generalized linear models. Class time includes lab time devoted to applications with IBM SPSS.

HUDM5123 Linear Models Experimentl Dsgn

Prerequisite: HUDM 5122 or HUDM 5126. This course provides an overview of experimental design and analysis from the perspective of the general linear modeling framework. Topics include the incremental F test for model comparisons, dummy and effect coding, single and multiple factor ANOVA and ANCOVA, analysis of categorical outcome data via generalized linear models, and repeated measures. The course includes lab time devoted to computer applications.

HUDM5124 Multidimensional scaling and clustering

An introduction to exploratory multivariate data analysis techniques, known in machine learning contexts as "unsupervised learning" methods, for analyzing multivariate profiles or proximity data (similarities, correlations, etc.). The surveyed methods include multidimensional scaling, which represents similarities among items by plotting the items into a geometric space, and cluster analysis for grouping items or entities. Graph and network models will also be discussed. Applications in psychology, marketing, education. Familiarity with R recommended.

HUDM5126 Linear models and regression analysis

Prerequisite: HUDM 4125 or HUDM 4122. Introduction to the theory and application of linear regression using calculus and matrix algebra. Focus on multiple regression models including dummy variables and polynomial models, regression diagnostics, and advanced methods such as weighted least squares, multilevel models, and an introduction to the generalized linear model.

HUDM5127 Applied Bayesian Statistical Modeling & Inference

Introduction to the principles of Bayesian inference and their application in estimation and prediction in the context of generalized linear models, including computational MCMC methods.

HUDM5128 Applied Categorical Data Analysis

Prerequisite: HUDM 5122 or HUDM 5126. This course provides an introduction to basic concepts and common statistical models and analyses for categorical data. It includes enough theory, examples of applications, and practice using categorical techniques so that students can use these methods in their own research, as well as critically read research papers that use such methods. Topics include description and inference for binomial and multinomial; analysis of contingency tables; generalized linear models for discrete data; logistic regression; multicategory logit models; inference for matched pairs and correlated clustered data; and loglinear models.

HUDM5130 Meta-analysis

Introduces practical and methodological issues for meta-analysis including program formation, literature search, data eveluation, effect size coding, data analysis, reporting results, summarizing effects, and combing results.

HUDM5133 Causal inference for program evaluation

This course will prepare students to start research in causal inference. It will provide an introduction to the theoretical and practical aspects of causal inference methods, along with real-world applications in education. Topics include: the Neyman-Rubin potential outcomes framework, Pearl’s directed acyclic graphical models, single-world intervention graphs, non-equivalent control group designs using both traditional methods (e.g., matching, weighting, regression) and machine learning methods, optimal treatment regimes, regression discontinuity designs, and sensitivity analysis.

HUDM5150 Statistical Careers, Communication, and Capstone

This is a capstone course for the M.S. degree in Applied Statistics. In this course we will discuss best practices in statistical analyses, including the role of a consultant and ethical issues encountered in analyses. Students will also study best practices for effective communication of statistics, including verbal, written, and graphical means of communication. Students will produce a capstone paper integrating the methods and skills they have learned across the M.S. degree. Internships that align with the goals of the M.S. program are recommended as opportunities for students to develop and apply statistical skills through practical experience in relevant professional and industry settings.

HUDM5250 Research practicum in measurement and evaluation

Permission required. Students enrolled are expected to spend a semester involved in a research project, either assisting a faculty member or in an applied setting. A formal report will be submitted.

HUDM6026 Computational statistics

Prerequisite: HUDM 4125 and either HUDM 5122 or HUDM 5126. Provides an introduction to computationally intense methods in applied statistics, taught in R. Topics include methods of evaluating statistical estimators; design, implementation, and reporting of Monte Carlo simulation studies; resampling and reordering methods; and nonparametric and data mining approaches to regression.

HUDM6030 Multilevel longitudinal data analysis

Multilevel models include a broad range of models called by various names, such as random effects models, multi-level models, and growth curve models. This course introduces the background and computer skills needed to understand and utilize these models.

HUDM6051 Psychometric Theory I

Permission required. Prerequisites: Both HUDM 5059 and HUDM 5122 or 5126. Classical test theory, and test/instrument development and validation.

HUDM6052 Psychometric theory II

Prerequisite: HUDM 6051 or equivalent. Item response theory & applications, and cognitive diagnostic models.

HUDM6053 Cognitive Diagnosis in Psychometrics

To equip our students with the cutting-edge methods for analyzing educational data, the course provides an in-depth introduction to cognitive diagnosis models and methods, a novel psychometric framework for developing educational and psychological tests and analyzing item-response data. This course covers the rationale, bases and frameworks for analyzing cognitive diagnosis data, as well as the most recent developments in the area. Specific topics include parametric and nonparametric methods for cognitive diagnosis, algorithms for model estimation and procedures for model comparison, theories on skill and item associations and their validations, and computerized adaptive testing. These topics are taught through lectures, discussions, inquiry-based strategies, and hands-on data analysis.

HUDM6055 Latent structure analysis

Prerequisite: HUDM 5122. Recommended: HUDM 6122. Study of latent structure analysis, including measurement models for latent traits and latent classes, path analysis, factor analysis, structural equations, and categorical data analysis.

HUDM6122 Multivariate analysis I

An introduction to multivariate statistical analysis, including matrix algebra, general linear hypothesis and application, profile analysis, principal components analysis, discriminant analysis, and classification methods.

HUDM6900 Advanced research and independent study

Permission required.

HUDM7500 Dissertation seminar

Permission required. Development of doctoral dissertations and presentation of plans for approval. Registration limited to two terms. Ph.D & Ed.D students must complete 3 points over 2 semesters prior to proposing their dissertation.

HUDM8900 Dissertation advisement

Individual advisement on doctoral dissertation. Fee to equal 3 points at current tuition rate for each term. See section in catalog on Continuous Registration for Ed.D./ Ph.D. degrees. Ed.D & Ph.D students must register for this every semester while completing their dissertation.

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