• 沒有找到結果。

Tools and Practice of Evaluation of Occupational Therapy 職能治療評估學

N/A
N/A
Protected

Academic year: 2022

Share "Tools and Practice of Evaluation of Occupational Therapy 職能治療評估學"

Copied!
1
0
0

加載中.... (立即查看全文)

全文

(1)

Tools and Practice of Evaluation of Occupational Therapy

職能治療評估學 周佳燁 09/16/2007

Course Description

Clinical evaluation is crucial aspect for clinical practice and will

significantly affect the effectiveness of therapeutic outcome. Thus, it is important for students in occupational therapy to learn the knowledge and skills for

administering evaluation in clinical practice. This course is to introduce the tools and administration procedures for evaluation. Various tools, including those for evaluating hand function, perception, cognition, psychological function, or the function of activities of daily living (ADL), will be introduced. Learning and practicing the administration of these tools will be beneficial for students to facilitate the therapeutic outcome for people receiving occupational therapy.

Course Objectives

 Students will learn the knowledge and significance of therapeutic evaluation.

 Students will learn the knowledge and significance of measurement properties for therapeutic evaluation

 Students will learn the characteristics of various tools for evaluation

 Students will practice the administration of various tools for evaluation

Grading

 Lecture: Midterm 40%

Final 40 % Participation* 20 %

 Practice: Participation* 20 %

(2)

Final 80 %

 Schedule

次數 日期 主題

1 9/18/2007 Introduction

2 9/25 Holiday

3 10/02 Theory of Testing (Psychometrics)

4 10/09 MVPT-R

5 10/16 TVPS

6 10/23 TVMS

7 10/30 Grooved Pegboard Test,

O'conner Finger Dexterity & O’conner Tweezer Dexterity,

8 11/06 MRMT

9 11/13 Midterm Exam

10 11/20 LOTCA I

11 11/27 LOTCA II

12 12/04 Movement ABC

13 12/11 Movement ABC

14 12/18 Exam of Practice I

15 12/25 Holiday

16 01/01/2008 Holiday

17 01/08 Exam of Practice II

18 01/15 Final Exam

(3)

參考文獻

相關文件

We have made a survey for the properties of SOC complementarity functions and the- oretical results of related solution methods, including the merit function methods, the

Tseng, Growth behavior of a class of merit functions for the nonlinear comple- mentarity problem, Journal of Optimization Theory and Applications, vol. Fukushima, A new

Then, we tested the influence of θ for the rate of convergence of Algorithm 4.1, by using this algorithm with α = 15 and four different θ to solve a test ex- ample generated as

Numerical results are reported for some convex second-order cone programs (SOCPs) by solving the unconstrained minimization reformulation of the KKT optimality conditions,

Particularly, combining the numerical results of the two papers, we may obtain such a conclusion that the merit function method based on ϕ p has a better a global convergence and

Then, it is easy to see that there are 9 problems for which the iterative numbers of the algorithm using ψ α,θ,p in the case of θ = 1 and p = 3 are less than the one of the

By exploiting the Cartesian P -properties for a nonlinear transformation, we show that the class of regularized merit functions provides a global error bound for the solution of

Since the generalized Fischer-Burmeister function ψ p is quasi-linear, the quadratic penalty for equilibrium constraints will make the convexity of the global smoothing function