The Department of Human Development
Our 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.
Programs
Faculty
Faculty
- Jeanne Brooks-Gunn Virginia and Leonard Marx Professor of Child and Parent Development and Education
- Chia-Yi Chiu Associate Professor Applied Statistics
- James E Corter Professor of Statistics and Education
- Lawrence T DeCarlo Professor of Psychology and Education
- Karen Froud Associate Professor of Neuroscience and Education
- Peter Gordon Associate Professor of Neuroscience 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
- Kimberly G Noble Professor of Neuroscience and Education
- 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 Developmental PsychologyAssistant Professor in Developmental Psychology
- Renzhe Yu Assistant Professor, Learning Analytics / Educational Data Mining
Visiting Faculty
- Yasemin Gulbahar Guven Visiting Assistant or Associate Professor - Learning Analytics Program
Emeriti
- John B Black Cleveland E. Dodge Professor Emeritus of Telecommunications & Ed.
- 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
Lecturers
- Laura Mielcarek DeRose Lecturer
- Jie Gao Lecturer in Human Development
Adjunct Faculty
- Nicholas Lee Anderson Adjunct Assistant Professor
- Melissa Marie Cesarano Adjunct Assistant Professor
- Vandana Chauhan Adjunct Assistant Professor - Cognitive Science
- Chad J. Coleman Adjunct Faculty - Department of Human Development (COG)
- Michael Jeffrey Dean Adjunct Associate Professor
- David Guralnick Adjunct Full Professor
- Michael Alan Hanchett Hanson Adjunct Full Professor
- Jayadhurganandh Jayaraman Adjunct Associate Professor
- Jamie L. Krenn Adjunct Associate Professor
- Daniel Lerman Adjunct Assistant Professor
- Sari Locker Adjunct Associate Professor
- Ilya Alex Lyashevsky Adjunct Assistant Professor
- Kerry M. Matlosz Adjunct Assistant Professor
- JoAnn Leah Rock Adjunct Associate Professor
- Lauren Kelly Schiller Adjunct Assistant Professor
- Si Xiao Adjunct Assistant Professor
- Lauren Ashley Young Adjunct Assistant Professor
- Doris Zahner Adjunct Associate Professor
Instructors
- Giovanni Motta
- Aislinn Sandre Part Time Postdoctoral Scholar
Courses
- HUD 4120 - Methods of empirical researchAn introduction to the methods of scientific inquiry, research planning, and techniques of making observations and analyzing and presenting data.
- HUD 6500 - Proseminar in Human DevelopmentPresentations and discussions of research by faculty, visiting scholars, and students.
- HUDK 4011 - Networked and Online LearningThe 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.
- HUDK 4012 - Learning in Small GroupsIntroduces 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.
- HUDK 4015 - Psychology of thinkingExamines 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.
- HUDK 4021 - Developmental psychology: InfancyReview 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.
- HUDK 4022 - Developmental psychology: ChildhoodChildren's cognition, perception, representation, language, affect, personality, and sexuality. Family structure and school as they influence these aspects of childhood.
- HUDK 4023 - Developmental psychology: AdolescenceTheoretical and empirical studies of classic and current theories of how adolescents construct their identity and develop physically, cognitively, morally, emotionally, and socially.
- HUDK 4025 - Cognition and Handheld DevicesExamination of mobile phone technologies, designing learning activities for mobile phones, and pedagogical and theoretical frameworks.
- HUDK 4027 - How Children Learn MathThe development of informal and formal mathematical thinking from infancy through childhood with implications for education.
- HUDK 4029 - Human cognition and learningCognitive and information-processing approaches to attention, learning, language, memory, and reasoning.
- HUDK 4031 - Data, Testing, and MeritocracyIndividuals 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
- HUDK 4035 - Technology and human developmentExamines 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.
- HUDK 4050 - Core methods in Educational Data MiningThe 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.
- HUDK 4051 - Learning Analytics: Process and theoryLearning Analytics, Theory & Practice builds on HUDK 4050 Core Methods in Educational Data Mining to provide 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.
- HUDK 4052 - Data, Learning, and SocietyIntroduction 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.
- HUDK 4054 - Managing education dataAttaining, 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.
- HUDK 4080 - Educational psychologyExamines 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.
- HUDK 4901 - Research and independent studyPermission required.
- HUDK 4902 - Research and independent studyPermission required.
- HUDK 5011 - Cognition of Social Emotional LearningThe 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.
- HUDK 5020 - The development of creativityMajor theories and contemporary research in creative work, emphasizing case studies of exceptional and historically influential individuals.
- HUDK 5021 - Development of creativity: The case study methodSeminar focusing on the case study method for understanding the principles and concepts underlying creative individuals and their products.
- HUDK 5023 - Cognitive developmentTheory and research on the development of cognitive processes across the lifespan.
- HUDK 5024 - Language DevelopmentSurvey 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.
- HUDK 5025 - Spatial thinkingAnalyzes 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.
- HUDK 5027 - Moral developmentInvestigation 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.
- HUDK 5028 - Spiritual Development Across the LifespanThis 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.
- HUDK 5029 - Development and socialization across the lifespanTheory and research regarding the interaction between naturally developing personality structures and socialization processes throughout life.
- HUDK 5030 - Visual explanationsSurveys 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.
- HUDK 5035 - Psychology of mediaCovers psychological theories and research that relate to various media and what people learn directly and indirectly from them.
- HUDK 5037 - Psychology of children’s televisionExplores 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.
- HUDK 5040 - Development and psychopathology: Atypical contexts and populationsUsing 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.
- HUDK 5042 - Motivation in EducationOverview 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.
- HUDK 5053 - No Title Found in BannerLearning 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.
- HUDK 5063 - Cognitive development beyond childhoodExamination 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.
- HUDK 5090 - Psychology of language and readingBasic 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.
- HUDK 5121 - Children's Social and Emotional Development in ContextContemporary 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.
- HUDK 5125 - Cross-cultural psychologySurvey of psychological studies of development in different cultures, with emphasis on perceptual and cognitive issues and methodological problems specific to cross-cultural research.
- HUDK 5135 - Poverty, Inequality, and Child DevelopmentThe 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
- HUDK 5197 - The Psychology of E-learning in Business and IndustryThis 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. This course does not have a pre-requisite.
- HUDK 5324 - Research PracticumStudents learn research skills by participating actively in an ongoing faculty research project.
- HUDK 5500 - Capstone in Developmental PsychologyThe 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.
- HUDK 6013 - Early childhood development and education: Integrating research and policy perspectivesTwo-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.
- HUDK 6036 - Child and Family Policy IProvides 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.
- HUDK 6037 - Child and Family Policy IIPrerequisites: 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.
- HUDK 6520 - Development Over the Lifespan: Doctoral SeminarPermission required. How people become socialized and how psychology deals with the process in terms of developmental concepts.
- HUDK 6523 - Seminar in cognitive developmentPermission required. Advanced topics in research and theory in cognitive development.
- HUDK 6529 - Seminar in risk, resilience and developmental psychologyPermission required. Students participate in ongoing research.
- HUDK 6539 - Research practicum in educational psychology, cognition, and learningPermission required. Limited to doctoral candidates in psychology.
- HUDK 6901 - Advanced research and independent studyPermission required.
- HUDK 6902 - Advanced research and independent studyPermission required.
- HUDK 7501 - Dissertation seminarPermission required. Development of doctoral dissertations and presentation of plans for approval. Registration limited to two terms.
- HUDK 7502 - Dissertation seminarPermission required. Development of doctoral dissertation and presentation of plans for approval. Registration limited to two terms.
- HUDK 8900 - Dissertation advisement - Developmental PsychologyIndividual 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.
- HUDK 8901 - Dissertation Advisement - Human Cognition/LearningIndividual 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.
- HUDM 4050 - Introduction to measurementAn 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.
- HUDM 4120 - Basic concepts in statisticsDesigned 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.
- HUDM 4122 - Probability and statistical inferenceAn 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.
- HUDM 4125 - Statistical inferencePrerequisite: 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.
- HUDM 4901 - Research and independent study: Measurement and evaluationPermission required.
- HUDM 4902 - Research and independent study: Applied statisticsPermission required.
- HUDM 5000 - Statistics LabStudents in this lab must also be enrolled in HUDM 5122 or HUDM 5123.
- HUDM 5001 - Programming for Data ScienceThis 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 Git and GitHub and database management using SQLite. Additionally, content on the development of interactive plots and dashboards using Plotly and Dash libraries will be included.
- HUDM 5026 - Intro to Data Analysis in RPrerequisite: 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.
- HUDM 5058 - Choice and decision makingPrerequisite: HUDM 4122 or equivalent. 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.
- HUDM 5059 - Psychological measurementA 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.
- HUDM 5122 - No Title Found in BannerLeast squares estimation theory. Traditional simple and multiple regression models and polynomial regression models, including use of categorical predictors. Logistic regression for dichotomous outcome variables is also covered. Class time includes lab time devoted to applications with IBM SPSS. Prerequisite: HUDM 4122 or HUDM 4125.
- HUDM 5123 - Linear models and experimental designPrerequisite: 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.
- HUDM 5124 - Multidimensional scaling and clusteringPrerequisites: HUDM 4122 and HUDM 5122 or equivalent. Familiarity with R recommended. Methods of analyzing proximity data (similarities, correlations, etc.), including multidimensional scaling, which represents similarities among items by plotting the items into a geometric space, and cluster analysis for grouping items. Graph and network models will also be discussed.
- HUDM 5126 - Linear models and regression analysisIntroduction 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.
- HUDM 5127 - Applied Bayesian Statistical Modeling & InferenceIntroduction to the principles of Bayesian inference and their application in estimation and prediction in the context of generalized linear models, including computational MCMC methods.
- HUDM 5128 - Applied Categorical Data Analysis
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- HUDM 5130 - Meta-analysisIntroduces 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.
- HUDM 5133 - Causal inference for program evaluationPrerequisite: HUDM 5122 or HUDM 5126 In this course we will focus on the Neyman-Rubin potential outcomes model as a theoretical base for understanding casual effect estimation . Using the potential outcomes notation and drawing on Pearl’s theory of directed graphs, we examine issues relevant to the design and statistical analysis of randomized experiments and quasi-experiments. For quasi-experimental designs, we will focus on non-equivalent control group designs, regression-discontinuity designs and instrumental variables designs.
- HUDM 5150 - Statistical Careers, Communication, and CapstonePrerequisite: 24 points completed towards MS Applied Statistics degree. This is a capstone course to the M.S. in Applied Statistics degree. In it students 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. Students will produce a capstone paper integrating the methods and skills they have learned across the M.S. degree.
- HUDM 5250 - Research practicum in measurement and evaluationPermission 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.
- HUDM 6026 - Computational statisticsPrerequisite: 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.
- HUDM 6030 - Multilevel longitudinal data analysisPrerequisite: HUDM 5122. 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.
- HUDM 6051 - Psychometric Theory IPermission required. Prerequisites: Both HUDM 5059 and HUDM 5122 or 5126. Classical test theory, and test/instrument development and validation.
- HUDM 6052 - Psychometric theory IIPermission required. Prerequisites: HUDM 6051 or equivalents. Item response theory & applications, and cognitive diagnostic models.
- HUDM 6053 - Cognitive Diagnosis in Psychometrics
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- HUDM 6055 - Latent structure analysisPrerequisite: 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.
- HUDM 6122 - Multivariate analysis IPrerequisite: HUDM 5122 or HUDM 5126; HUDM 5123 is recommended. An introduction to multivariate statistical analysis, including matrix algebra, general linear hypothesis and application, profile analysis, principal components analysis, discriminant analysis, and classification methods.
- HUDM 6900 - Advanced research and independent studyPermission required.
- HUDM 7500 - Dissertation seminarPermission 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.
- HUDM 8900 - Dissertation advisementIndividual 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.