COURSE UNIT TITLE

: INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) SUPPORTED PRIMARY SCIENCE TEACHING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IFE 5025 INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) SUPPORTED PRIMARY SCIENCE TEACHING ELECTIVE 3 0 0 8

Offered By

Science Teacher Education

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR BÜLENT ÇAVAŞ

Offered to

Science Teacher Education

Course Objective

This master course aims to develop and implement teaching materials supported by information and communication technologies using up-to-date teaching and learning theories and models.

Learning Outcomes of the Course Unit

1   develop teaching materials using ICT based applications
2   implement ICT based teaching materials in primary science education
3   assess teaching materials on the students achievements and attitudes

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to the Information and Communication Technologies Supported Primary Science Teaching
2 Web page design for distance learning theoretical framework
3 Web page design for distance learning Programming
4 Web page design for distance learning Implementations in Primary Science Education
5 Lego Mindstorms NXT 2.0 Introductions
6 Lego Mindstorms NXT 2.0 Programming
7 Lego Mindstorms NXT 2.0 Implementations in primary science education
8 Mid-term exam
9 Electronic Book design in primary science education
10 Digitalizations of primary science teaching materials
11 Virtual Laboratory Experiments Physics, Chemistry
12 Virtual Laboratory Experiments Biology, Astronomy
13 Concept Map, Mind Map Applications in primary science education
14 Video design programs
15 Final Exam

Recomended or Required Reading

Rodrigues, S. (2010) Multiple Literacy and Science Education: ICTs in Formal and Informal Learning Environments, Information Science Reference, NewYork.
Potter, J., Selwyn, N. (2003) Primary Schools and ICT: Learning from pupil perspectives, Continuum
Marshall, G., Katz, Y. (2003) Learning in School, Home and Community: ICT for Early and Elementary Education (IFIP Advances in Information and Communication Technology) Springer
Altın, K. (2009) Bilgisayar Destekli Fen ve Teknoloji Öğretimi. Beta Yayınevi. Istanbul
Perdue, D.J., Valk, L. (2007) The Unofficial Lego Mindstorm NXT 2.0 Investor s Guide. No Starch Press. Inc. San Francisco
Çavaş, B. Çavaş, P., Karaoglan, B., Kısla, T. (2009) A Study on Science Teachers' Attitudes toward Information and Communication Technologies in Education . Turkish Online Journal of Educational Technology Turkish Online Journal of Educational Technology, 8(2), 20-32.



Planned Learning Activities and Teaching Methods

Research, Discussion, Question-Answer, Group Work, Lecture

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

The homeworks will be assessed by directly adding to the mid-term scores. The exam dates will be indicated in the lesson plan. As the exam dates become definite, the previously announced dates may change.

Assessment Criteria

In-class participation and written homework, end-of-semester final homework and short report presentation.

Language of Instruction

Turkish

Course Policies and Rules

1.It is obligated to continue to at least 70% of lessons .
2. Behaviours such as copying in exams, clashing and making intials in the publications will be concluded with the opening of a disciplinary investigation.
3.The instructor has right to make quizzes. The scores obtained from quizzes will be directly added to exam scores.

Contact Details for the Lecturer(s)

bulent.cavas@deu.edu.tr

Office Hours

Office Hours: Wednesday-Thursday 3-4

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Preparation for quiz etc. 10 2 20
Preparing presentations 14 3 42
Field study 10 2 20
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 192

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.1444
LO.2444
LO.3444