Engineering Education

Academic Performance

In addition to the criteria defined in the current Graduate Catalog, unsatisfactory performance in the Ph.D. program Engineering with concentration in Engineering Education is defined as any of the following.

  • Failure to maintain a 3.50/4.00 or better GPA on all prerequisite undergraduate courses taken while in the ENE Ph.D. program,
  • Failure to maintain a 3.30/4.00 or better GPA on all graduate courses attempted,
  • Failure to maintain a 3.30/4.00 or better GPA on all courses on the student’s program of study
  • Earning two or more grades of C in prerequisite undergraduate courses taken while in the ENE Ph.D. program and courses listed on the student's program of study
  • Earning a grade of U, D, or F in any course while enrolled in the ENE Ph.D. program,
  • Failure of the comprehensive exam,
  • Failure of the preliminary exam, or
  • Unsatisfactory evaluation of dissertation

Any one of the conditions above will constitute the basis for review for possible immediate dismissal from the program.

If the student’s GPA drops below the required average 3.30/4.00, the graduate coordinator will review the record along with the student’s graduate committee and will recommend a final course of action, which will be immediate dismissal or the establishment of a probationary period in which corrective action must take place.

While on probation, the student is not eligible to receive an assistantship and is required to raise his/her cumulative GPA to 3.30/4.00 or better by the end of the following semester of enrollment. Directed Individual Study courses are excluded.

In case of a dismissal from the graduate program, a student may appeal his/her academic dismissal in accordance with policy in the MSU Graduate Catalog.

Courses

Because of the interdisciplinary nature of the Engineering Education program, courses listed under Program of Study in the catalog are typical of those used to assemble a program of study. Courses not listed can be used for graduate credit with the approval of the student’s graduate committee and the Engineering Education Program Coordinator. The program of study must demonstrate the student has achieved a working knowledge of

  • engineering education theory and practice
  • education theory, and
  • an engineering technical area

No program of study can contain more than 6 credit hours of Directed Individual Study courses.

Elective Course Lists (subject to change and approval)

Engineering Education
ENE 8703 Design in Engineering Education & Practice

Education Foundations & Educational Psychology Courses
EDF 9313 Philosophy of Education
EDF 9453 Introduction to Qualitative Research in Education
EDF 9463 Qualitative Data Collection in Education
EDF 9473 Qualitative Data Analysis and Presentation
EPY 8223 Psychological Foundations of Education
EPY 8293 Cognitive Development
EPY 9213 Advanced Analysis in Educational Research
EPY 9313 Education Evaluation Methods
PSY 6653 Cognitive Science

Other Education Courses
EDS 8103 Advanced Methods in Middle/Secondary Education
EDS 8613 Middle & Secondary School Curricula
EDS 8623 Effective Instruction
EDS 8633 Problems Of Secondary Education
EDS 8653 Issues of Accountability
EDS 8683 Disposition & Reflection
HED 8133 University and Community College Instruction
HED 8523 Student Development Theory
HED 8673 Planning & Institutional Research in Higher Education
HED 8683 Policy Issues in Higher Education

Approved Statistics Courses
ST 6232 Data Analysis I (same as MA 6243)
ST 6253 Data Analysis II (same as MA 6253)
ST 8214 Design & Analysis of Experiments
ST 8263 Advanced Regression Analysis
ST 8313 Introduction to Survey Sampling
ST 8353 Statistical Computations
ST 8413 Multivariate Statistical Methods
ST 8433 Multivariate Statistical Analysis
ST 8733 Advanced Statistical Inference I
ST 8743 Advanced Statistical Inference II
ST 8863 Advanced Design of Experiments I
ST 8863 Advanced Design of Experiments II

Mathematics Courses
Any 6xxx and 8xxx math course except for the following:
MA 6523 Introduction to Probability
MA 6533 Probability & Random Processes
MA 6543 Introduction to Mathematical Statistics I
MA 6573 Introduction to Mathematical Statistics II

Psychology
PSY 6523 Industrial Psychology
PSY 6653 Cognitive Science
PSY 6713 Language & Thought
PSY 6733 Memory
PSY 6743 Psychology of Human-Computer Interface
PSY 6753 Applied Cognitive Psychology
PSY 8214 Quantitative Methods in Psychology II
PSY 8354 Intelligence Testing
PSY 8723 Cognitive Skills Models
PSY 8743 Perception & Attention
PSY 8753 Advanced Human Memory
PSY 8763 Expertise & Cognitive Skill