Cognitive and Learning Sciences

Graduate Certificate: Post-Secondary STEM Education

Effective STEM Teaching and Learning in Higher Education

Students completing this certificate will develop competencies in planning and delivering effective science, technology, engineering, and mathematics (STEM) instruction, skills in conducting research on topics related to teaching and learning in the STEM disciplines, and knowledge of current issues around teaching and learning STEM. Developing high-level skills in STEM content areas has become a national priority, as such skills are essential to improving access to advanced educational opportunities and to workplace success.

The certificate is available to all degree seeking students enrolled in the Graduate School at Michigan Tech as well as non-degree seeking graduate-level students. STEM skills will apply to a range of professional areas:

  • university and community college instruction
  • education-related research

Students on campus serving as graduate teaching assistants would also benefit from professional development and academic growth in the area of education.

Curriculum

A total of 13 credits are required for the STEM Education Certificate. Students must earn a grade of B or higher in each of the courses counting toward the certificate.

Core Courses

(10 Credits:  Required list below)

ED 5100 - College Teaching

Focuses on instructional planning, delivery, and assessment in a higher education context. Students learn to write objectives, apply backward design, create objective- linked high-engagement classroom activities, and assess student learning. Additional topics include course syllabi, teaching portfolios, and teaching philosophy statements.

  • Credits: 1.0
  • Lec-Rec-Lab: (0-2-0)
  • Semesters Offered: Spring
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate
  • Co-Requisite(s): ED 0510

ED 5101 - Foundations of Online Teaching

This course provides an introduction to the planning, design development, and delivery of an online course. Students learn to create measurable learning objectives, engaging online activities, and authentic assessments for use in a future online course. Students will create and deliver an online lesson as their course capstone.

  • Credits: 1.0
  • Lec-Rec-Lab: (0-1-0)
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: Permission of instructor required; Must be enrolled in one of the following Level(s): Graduate

PSY 5020 - Research Methods

This course provides a foundation in research methods in cognitive science and human factors, with an emphasis on experimental design, research ethics, and scientific communication. Course meets Michigan Tech's Advanced Responsible Conduct of Research (RCR) requirements.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: On Demand
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

Statistics

(Choose 1 course from the list below)

MA 5701 - Statistical Methods

Introduction to design, conduct, and analysis of statistical studies, with an introduction to statistical computing and preparation of statistical reports. Topics include design, descriptive, and graphical methods, probability models, parameter estimation and hypothesis testing.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

PSY 5210 - Advanced Statistical Analysis and Design I

An overview of data analysis methods including visualization, data programming, and univariate statistics such as t-test and ANOVA.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-2)
  • Semesters Offered: Fall - Offered alternate years beginning with the 2018-2019 academic year
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

SS 5004 - Statistics for the Social Sciences

A general introduction to quantitative analysis for the social sciences. The course uses common statistical software tools, such as SPSS, to aid in the analysis of data. Students apply their data analysis techniques to social science problems of their choosing in a semester-long project.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Fall - Offered alternate years beginning with the 2019-2020 academic year
  • Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore

Model Schedule

It is anticipated that degree-seeking students will take 3-4 credits toward the certificate each semester. Courses are currently offered on the following schedule. This will allow students to complete the certificate in 3-4 semesters.

Model Schedule for Certificate
Fall Courses Spring Courses
ED 5101 - Online Teaching ED 5100 - College Teaching
PSY 5020 - Research Methods ED 5101 - Online Teaching

PSY 5210 (Even Years) -

Advanced Statistical Analysis and Design I

ED 5460/PSY 5460 - Psychology of Learning
MA 5701- Statistical Methods ED 5470 - Issues in STEM Ed
SS 5004 (Odd Years) - Statistics for the Social Sciences