Language & Technology Degree

The Applied Linguistics and TESOL program at Teachers College, Columbia University offers a Master of Education (Ed.M.), and a Doctor of Education (Ed.D.) specialization in Language & Technology.

Now accepting applications for 2024-2025

Lin Lougheed Doctoral Fellowship in Language & Technology

The Applied Linguistics & TESOL program at Teachers College announces the Lin Lougheed Doctoral Fellowship in Language & Technology. This fellowship is offered to a student who will research AI technologies in language learning or language assessment. This 4-year fellowship will provide tuition and a stipend for a student in good standing during the program.

Teachers College Application Portal: https://apply.tc.edu/apply/

The application deadline is December 1, 2024. 

Contact Prof. Erik Voss at ev2449@tc.columbia.edu with any questions about this fellowship.

Doctor of Education in Applied Linguistics or TESOL (75 pts; The Language & Technology Area of Specialization)

The language & technology area of specialization requires a minimum of 75 graduate credits beyond the bachelor's degree. It has five types of  requirements: (1) doctoral candidacy requirements (listed above), (2) specialization-specific courses, (3) elective courses, (4) out-of-program breadth courses, and (5) research and statistics courses. 

Specialization-Specific Courses (9 points):

• A&HL 4090 Introduction to Corpus Linguistics (3)

• A&HL 5011 Technology-based language teaching and materials design (3)

• A&HL 5090 Computational linguistics for Applied Linguistics (3)

Research Methods and Statistics Courses (6 points): 

• A&HL 5575 :Research Literacy in AL and TESOL

• HUDM 4050: Introduction to Measurement

• HUDM 4122: Probability and Statistical Inference

• HUDM 5122: Applied Regression Analysis

• HUDM 5123: Linear Models and Experimental Design

• HUDM 5124: Multidimensional Scaling and Clustering

• HUDM 6030: Multilevel and Longitudinal Data Analysis

• HUDM 6051: Psychometric Theory I

• HUDM 6052: Psychometric Theory II

• HUDM 6055: Latent Structure Analysis

• ORLA 6641: Advanced Research Methods and Design

Elective Courses (9 points): 

• A&HL 5199: Topics in language assessment (3)

• A&HL 6000: Second language test validation (3)

• A&HL 6040: Classroom-based language assessment (3)

• A&HL 6060: Generalizability theory for second language assessment research (3)

• A&HL 6089: Second language performance assessment (3)
  A&HL 4104: Discourse analysis (3)

• A&HL 4105: Conversation analysis (3)

• A&HL 5020: Interactional sociolinguistics (3)

• A&HL 5105: Classroom discourse (3)

• A&HL 6031: Advanced conversation analysis (3)

• A&HL 5087: Second language acquisition in the classroom (3)

• A&HL 6087: Advanced second language acquisition (3)

• A&HL 6097: Task-based language teaching (3)

• A&HL 4090: Introduction to Corpus Linguistics (3)

• A&HL 5515: Adv.Topics: Applied Linguistics I: Introduction to Corpus Linguistics (3)

• A&HL 4089: Teaching writing to ESL students (3)
  
  

Courses can be taken at an affiliate campus in the Columbia University community with advisor’s approval.

Out-of-Program Breadth Courses (6 points):

• HUDK 4005: Equity, Ethical, and Social Issues in Educational Technology

• MTSU 4133: Cognition and computers

• HUDK 4035: Technology and human development

• MSTU 4040: Mobile Learning 

• HDUK 4050: Core methods in educational data mining

• HUDK 4051: Learning analytics: process and theory

• HUDK 4052: Data, Learning, and Society

• HUDK 4054: Managing education data

• MSTU 4083:Instructional Design of Educational Technology 

• MSTU 5000: Virtual, Augmented, Mixed Reality and Games as Learning Tools

• ORLA 6541: Applied Data Science in Organizations and Leadership

Transfer Courses (up to 45 points, see above) Candidacy Requirements (15 points, see above)