*Curriculum & Instruction
Share share to FaceBook share to Plurk share to Twitter
Font size:Big | Medium(Default) | Small

Introduction

The doctoral program of curriculum and instruction aims to provide a theoretical foundation related to curriculum and instruction for the researchers and practical personnel. The course structure allows students to reinforce knowledge bases in curriculum and instruction theory and the usage of information technology in different level of educators.

Objectives
  • Train students to become researchers for advanced curriculum and instruction studies.
  • Train students to become researchers for advanced information technology studies.
  • Train students to become experts in curriculum and instruction studies.
Abilities
  • Be able to apply the professional knowledge of curriculum and instruction to reflect and criticize existing literature.
  • Be able to combine the theory and practice of curriculum and instruction.
  • Be able to explore the emerging topics related to curriculum and instruction.
  • Be able to innovate in the filed of curriculum and instruction.
Perspectives
  • To become faculty in the universities.    
  • To serve as researchers or administrators in different levels of government organizations.
  • To become leader teachers in elementary or junior high schools.
  • To serve as the professional education trainers of different institutions.
  • To serve as the professions of educational training and digital learning.

Course Guide

The Doctoral students should complete 33 credits (not including dissertation study) as the course-work required. On average, full-time students could complete the Doctoral degree course-work requirements and graduate in three to five years. To get Doctorate degree, the graduation of doctoral students must finish the required course-work:
  • Meet with success in the qualified examination;
  • Pass an open oral exam for the dissertation proposal;
  • Complete the Doctoral dissertation and pass an opening oral defense;
  • Publish at least three academic papers in the peer-reviewed educational journals;
  • Attend at least twelve seminars which be held by the Institute.

Course Structure

Categories Subject Name Style Credit Hours Semester Note
  Educational Research Methodology compulsory 3 3    
Statistical Methods(II) compulsory 3 3  
Multivariate Analysis compulsory 3 3  
Factor Analysis and Latent Variable Models Elective 3 3  
Design of Experiments Elective 3 3  
Categorical Data Analysis Elective 3 3    
Survey and Sampling Elective 3 3  
Nonparametric Statistical Methods Elective 3 3  
Hierarchical Linear Models Elective 3 3  
Mathematical Statistics compulsory 3 3  
Structural Equation Modeling Elective 3 3  
Regression Analysis Elective 3 3  
Probability Statistics Ⅰ Elective 3 3  
Probability Statistics Ⅱ Elective 3 3  
Others Elective 3 3    
  Measurement Theory compulsory 3 3  
Competency-based Assessment compulsory 3 3  
Introduction to Generalizability Theory Elective 3 3  
Scaling Methods and Theories Elective 3 3  
Item Response Theory Elective 3 3  
Multidimensional Item Response Theory compulsory 3 3  
Computer-based Assessment Elective 3 3  
Test Equating and Linking Elective 3 3  
Professional Writing in Education compulsory 3 3  
Test Bias Elective 3 3  
Cognitive Psychology and Educational Testing compulsory 3 3  
Others Elective 3 3  
  Seminar on Educational Assessment & Statistics(I)、(Ⅱ) compulsory 1 1  
Seminar on Educational Assessment & Statistics(Ⅲ)、(Ⅳ) Elective 1 1  
Seminar on Educational Assessment & Statistics(A)、(B) compulsory 1 1  
Seminar on Educational Assessment & Statistics(C)、(D) Elective 1 1  
Thesis compulsory 0 0  
Dissertation compulsory 0 0  
Cognitive Psychology Elective 3 3  
Assessment of Affective Domain Learning Objectives Elective 3 3  
Performance Assessments Elective 3 2  
Dynamic Assessment Elective 3 3  
The Psychology of Reading Elective 3 3  
The Diagnosis of Reading Difficulties Elective 3 3  
Assessment of Mathematics Learning Difficulty Elective 3 3  
Project-based Learning and Assessment Elective 3 3  
Assessment of Multiple Intelligence Elective 3 3  
Assessment of Learning Progress Elective 3 3  
Issues of Classroom Assessment Elective 3 3  
Issues of Attitude Theory and Measurement Elective 3 3  
Theories & Assessment of Human Intelligence Elective 3 3  
Standard Setting Elective 3 3  
Automated Test Assembly Elective 3 3  
Design of Database in Measurement & Statistics Elective 3 3  
Monte Carlo Study Elective 3 3  
An Introduction to Time series Analysis Elective 3 3  
Others Elective 3 3