Learning Sciences & Technologies, MSEd
The M.S.Ed. in Learning Sciences and Technologies lays the foundation for graduates to pursue fulfilling and creative careers as educators, researchers, and developers of next-generation curricula, technology-enriched learning environments, and instructional programs. The Learning Sciences and Technologies M.S.Ed. is designed for students who wish to investigate at an advanced level the interdisciplinary connections between learning environments (both online and offline), design issues, and educational concerns. Students enjoy individualized courses of study in a small, community-oriented cohort of students. The curriculum gives students the knowledge, skills, and techniques needed to assess, design, and implement programs in learning settings that range from after-school opportunities to corporate professional development.
For more information: https://www.gse.upenn.edu/tll/lst
Curriculum
A minimum of 10.0 course units are required for the LST MSEd1
| Code | Title | Course Units |
|---|---|---|
| Core Courses | ||
| EDUC 6116 | Master's Foundations of Teaching and Learning (Incoming full-time students must register for this course in the Fall semester.) | 1 |
| EDUC 6139 | Design of Learning Environments | 1 |
| EDUC 6144 | Learning Sciences: Past, Present, Future | 1 |
| EDUC 6168 | Master's Seminar in Teaching, Learning, and Leadership | 1 |
| Methods Course | 1 | |
| Ethnographic Filmmaking | ||
| Qualitative Studies of Developmental Interventions | ||
| Core Methods in Educational Data Mining | ||
| Introduction to Mixed-Methods Research | ||
| Ethnography for Intercultural Communication | ||
| Seminar in Practitioner Inquiry | ||
| Qualitative Methods: Principles and Techniques | ||
| Introductory Statistics for Educational Research | ||
| Survey Methods & Design | ||
| Methods of Discourse Analysis | ||
| Qualitative Research: Concepts, Methods and Design | ||
| Advanced Qualitative and Case Study Research | ||
| Ethnographic Research Methods | ||
| Introduction to Causal Inference for Educational Research | ||
| Regression and Analysis of Variance | ||
| Quasi-Experimental Design | ||
| Social and Statistical Network Analysis | ||
| Craft of Ethnography | ||
| Classifications, Profiles, and Latent Growth Mixture Models | ||
| Research Seminar in Reading and Writing | ||
| Concentration Courses | ||
| Select 2 Concentration Courses, chosen from the list below: 2 | 2 | |
| Teaching & Learning in Student Centered Classrooms | ||
| Video Games and Virtual Worlds as Sites for Learning | ||
| MaKer Studio | ||
| Educational Assessment of and for Learning | ||
| Big Data, Education, and Society | ||
| Technologies for Language Learning and Teaching | ||
| Core Methods in Educational Data Mining | ||
| Elective Courses 3 | ||
| Select 3 elective courses, including one distribution course: | 2 | |
| Distribution course 4 | 1 | |
| Other Requirements | ||
| Master's Capstone Project, supported by EDUC 6168 | ||
| Total Course Units | 10 | |
- 1
The MSEd degree requires a minimum of 10 CUs. All courses counted towards the degree must be at the 5000 level or above. No transfer credits are accepted. Other program requirements include successful completion of the Master's Capstone.
All students must take at least 3 CUs to be considered full-time. Part-time students enroll in 1 to 2 CUs per semester.
- 2
If students wish to take a different course from those listed as a Concentration Course, they must petition and receive approval from their advisor and the TLL Chair prior to enrolling in the course.
- 3
The elective course should contribute substantively to a student's area of specialization.
Full-time students who want to graduate in August generally plan taking 1 or maximum of 2 electives in the summer.
- 4
Candidates for the M.S.Ed. degree must demonstrate knowledge of the field of education beyond the area of specialization. This requirement is met by satisfying the distribution requirement. To meet the distribution requirement, students must complete one approved graduate level (5000 and above) GSE course outside the student’s area of specialization, earning a grade of “B” or better. Students should check with their program manager for a list of courses approved to fulfill the distribution requirement. Further requirements regarding these courses may be specified by each division.
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2023 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.