COURSE UNIT TITLE

: MULTIPLE INTELLIGENCE THEORY AND APPLICATIONS IN CHEMISTRY EDUCATION

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
FMK 6030 MULTIPLE INTELLIGENCE THEORY AND APPLICATIONS IN CHEMISTRY EDUCATION ELECTIVE 3 0 0 7

Offered By

Chemistry Teacher Education

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR ŞENOL ALPAT

Offered to

Chemistry Teacher Education

Course Objective

Bring up students to the application level by teaching the theory of multiple intelligences, prepare an activity according to the types of multiple intelligences of students

Learning Outcomes of the Course Unit

1   Comprehend the types of Multiple Intelligence
2   Define the relationship between multiple intelligence types and learning
3   Develop curriculum according to the types of multiple
4   Prepare a research project according to the types of multiple intelligence
5   Understand and interpret opposite views on the multiple intelligence theory
6   Review, criticize and interpret articles related to multiple intelligences theory

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Course content and overall presentation
2 Multiple intelligence theory and principles
3 Classification of multiple types of intelligence
4 Verbal intelligence
5 The logical and mathematical intelligence
6 Visual intelligence
7 Intrapersonal intelligence
8 Midterm exam
9 Social intelligence
10 Musical intelligence
11 Kinesthetic and nature directed intelligence
12 Examination of opposite views
13 Measurement and evaluation on the multiple intelligence theory
14 Use of the multiple Intelligences in education
15 Final Exam

Recomended or Required Reading

1-Howard Gardner Zihin çerçeveleri ve Çoklu Zeka Kuramı
2-Ahmet Saban Çoklu zeka teorisi ve eğitim
3-Ziya Selçuk Çoklu zeka uygulamaları

Planned Learning Activities and Teaching Methods

Oral presentation, assignment, expression, discussion

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTEG MIDTERM GRADE
2 FCG FINAL COURSE GRADE
3 FCG FINAL COURSE GRADE MTEG * 0.40 + FCG * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Oral presentation, assignment, expression, discussion

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

senol.alpat@deu.edu.tr

Office Hours

Wednesday between 11-12 hours

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 1 20 20
Preparation for final exam 1 30 30
Preparing assignments 3 10 30
Preparing presentations 3 10 30
Final 1 2 2
Midterm 1 3 3
TOTAL WORKLOAD (hours) 180

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.1555
LO.25455
LO.3444435
LO.455545445444
LO.5455335
LO.65554555