EMT 370

Course ID:

Course Code & Number

EMT 370

Course Title

Data-Driven Instructional Design in Mathematics Education

Level

BS

Credit Hours/ ECTS Credits

(1+2+0) 2 TEDU Credits, 3 ECTS Credits

Year of Study:

Semester:

Type of Course:

Elective

Mode of Delivery:

Face-to-face

Language of Instruction:

English

Pre-requisite / Co-requisite:

Catalog Description

Concept of instructional design. Instructional design models. The importance of data in instructional setting. Classroom data gathering strategies. Learning analytics. Educational data mining. Making design decisions based on classroom data for mathematics instruction. Designing mathematics instruction considering classroom data.

Course Objectives

This course aims to make students gain awareness of how to design instruction based on the classroom data. Students will develop a proposal by working on how to make an instructional design considering classroom data and the needs of the learners.

Software Usage

Course Learning Outcomes

Upon successful completion of this course, students will be able to:

1. describe the process of data-driven instructional design,
2. compare different models of instructional design,
3. exemplify the concepts of learning analytics and educational data mining,
4. derive design elements for mathematics instruction based on hypothetical or real classroom data,
5. propose an instructional flow for mathematics instruction based on classroom data.

Learning Activities and Teaching Methods:

Questioning Reading Scaffolding/Coaching Inquiry Collaborating Think-Pair-Share Case Study/Scenarion Analysis Guest Speakers Web Searching

Assessment Methods and Criteria:

Test / Exam Case Studies / Homework Observation Presentation (Oral/Poster) Performance Project (Written, Oral)

Assessment Methods and Criteria Others:

Design Content

Recommended Reading

Required Reading

Grading

Learning Activities and Teaching Methods Others:

Course Coordinator:

Dr. Zerrin Toker

Student Workload:

Workload	Hrs
Course Readings	3
Hands-on Work	5
Resource Review	5
Report on a Topic	10
Case Study Analysis	5
Oral Presentation	5

Course & Program Learning Outcome Matching: