Welcome to the Morgridge College of Education. We believe that education serves as the foundation and means for transformation within our society. Our faculty are leading national conversations on public policy, addiction recovery and early childhood education. Our students are serving the community through the College’s counseling clinic, two on-campus model schools, as well as in schools and non-profit organizations. Our alumni are promoting diversity and social justice in leadership positions across the country and around the world. Morgridge is committed to being more, doing more, and bringing about more positive change through the power of learning.
The Morgridge College of Education at the University of Denver Colorado is home to an extensive list of education degrees and programs. These degrees include Child, Family, and School Psychology; Counseling Psychology, Curriculum and Instruction, Early Childhood Special Education, Educational Leadership and Policy Studies; Higher Education; Library and Information Science; Research Methods and Statistics; Teacher Preparation Programs. The Morgridge College of Education invites you to join us at the University of Denver.
Emerging technology in education follows the same trend as all forms of technology – constantly improving and featuring an array of functions that are useful to those utilizing it. However,
Emerging technology in education follows the same trend as all forms of technology – constantly improving and featuring an array of functions that are useful to those utilizing it. However, the ways technology can be used in schools are seemingly endless, and giving it purpose in learning environments can be difficult.
This institute will support educators in mitigating the inevitable learning curve associated with some of the emerging technology in education. Participants will also be tasked with reassessing some of the technology that has been moved out of the circle of “innovative” and into to the area of “obsolete,” and discover new ways to use this tech in their school or classroom.
Ultimately, this institute will cover technology in many areas (Raspberry Pi’s, G Suite, cutting-edge robotics such as Sphero, Dash, and Dot, QR Codes, Osmo for iPhones and iPads, etc.) and leverage expert facilitators, all while exploring how education technology can be integrated into learning environments to increase student engagement exponentially.
Monday, July 23, 2018 – Friday, July 27, 2018
8:00 AM – 4:00 PM
455 S. Pierce Street
Lakewood, CO 80226
$625 per person
This Institute is being offered for 4.0 CEUs. CEUs are transcripted through the University of Denver and can be obtained via the University’s Registrar’s Office after the Institute concludes.
23 (Monday) 8:00 am - 27 (Friday) 4:00 pm mst
455 S. Pierce Street
Get ready for the APA Convention! Pizza/drinks provided! Topics in this interactive presentation: What to do prior to the convention Delivering an elevator pitch Networking with convention attendees What to do after
Get ready for the APA Convention!
Topics in this interactive presentation:
- What to do prior to the convention
- Delivering an elevator pitch
- Networking with convention attendees
- What to do after the convention
(Tuesday) 12:00 pm - 1:00 pm mst
KRH 105 (Boardroom)
Structural Equation Modeling (SEM) is a popular and flexible statistical modeling technique that allows causal relationships among psychological variables to be estimated. Whether you’re a social-scientist working in higher-education or
Structural Equation Modeling (SEM) is a popular and flexible statistical modeling technique that allows causal relationships among psychological variables to be estimated. Whether you’re a social-scientist working in higher-education or industry, a data analyst, a practicing psychologist, or an educator with an interest in quantitative methods, this workshop will provide you with the knowledge and skills to begin implementing this general yet extremely useful technique.
This one-day course assumes no prior experience with SEM, and is intended as both a theoretical and practical introduction. An understanding of SEM will be developed by relating it to participants’ previous knowledge of multiple linear regression, and then by expanding it to allow for correlated and causally related latent constructs. We will start with path analysis among measured variables, move into confirmatory factor models, then structural models involving latent causality, and finally a preview of more advanced topics. Examples from a variety of disciplines will be accompanied by code and output from the Mplus software package.
By the end of the course, you should be able to:
- Understand how SEM builds upon and extends the principles and practice of multiple regression.
- Understand how to assess data-model fit of structural equation models.
- Understand how to specify and interpret measured variable path models, and their extensions.
- Understand how to specify and interpret confirmatory factor models, and their extensions.
- Understand how to specify and interpret latent variable path models, and their extensions.
- Read and interpret applied literature that contains structural equation models, and frame theories from your own domain of study as a structural equation model.
This course offers 6 PD hours
Thur., 9:00am–noon; 1pm-4pm, August 2, 2018
Location: Room KRH 305, Katherine Ruffato Hall, DU campus
Gregory R. Hancock is Professor, Distinguished Scholar-Teacher, and Director of the Measurement, Statistics and Evaluation program in the Department of Human Development and Quantitative Methodology at the University of Maryland, College Park, and Director of the Center for Integrated Latent Variable Research (CILVR). He is past chair of the SEM special interest group of the American Educational Research Association (three terms), serves on the editorial board of a number of journals including Psychological Methods and Structural Equation Modeling: A Multidisciplinary Journal, and has taught over 100 methodological workshops in the United States, Canada, and abroad. He is a Fellow of the American Educational Research Association, the American Psychological Association, and the Association for Psychological Science, and received the 2011 Jacob Cohen Award for Distinguished Contributions to Teaching and Mentoring by the American Psychological Association.
Denis Dumas is Assistant Professor of Research Methods and Statistics at the University of Denver. In general, his research focuses on understanding student learning, cognition, and creativity through the application of latent variable methods, especially multidimensional item-response theory and non-linear growth models. He believes deeply in the power of quantitative research such as this for improving the field’s current understanding of learning, and supporting the academic development of all students. His research has appeared in such peer-reviewed journals as Educational Researcher, Journal of Educational Psychology, Psychological Assessment, PLoS ONE, and Academic Medicine. He also serves on the editorial board of Contemporary Educational Psychology, and is a recipient of the American Educational Research Association Excellence in Early Career Research Deeper-Learning Fellowship.
(Thursday) 9:00 am - 4:00 pm mst
1999 E. Evans Ave.
Prepare for what’s next with the Beyond College: 2018 Webinar Series! AUGUST 2 4:00 p.m. Eastern Time Wells Fargo careers and internships Recruiters from Wells Fargo will share information about career opportunities.
Prepare for what’s next with the Beyond College: 2018 Webinar Series!
Wells Fargo careers and internships
Recruiters from Wells Fargo will share information about
(Thursday) 2:00 pm - 3:00 pm
Join fellow University of Denver psychology students, alumni, and faculty as we celebrate another great DU showing at
Join fellow University of Denver psychology students, alumni, and faculty as we celebrate another great DU showing at the annual American Psychological Association Convention! Don’t miss this opportunity to network with fellow Pioneers in the field of psychology, from AHSS, GSPP, and Morgridge!
(Thursday) 6:00 pm - 8:00 pm PST
Thirsty Bear Organic Brewery
3915, 661 Howard Street