ELE 432 Lesson Study and Clinical Interview Experiences for Prospective TeachersMEF UniversityDegree Programs EconomicsGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Economics
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute Faculty of Education
Course Code ELE 432
Course Title in English Lesson Study and Clinical Interview Experiences for Prospective Teachers
Course Title in Turkish Lesson Study and Clinical Interview Experiences for Prospective Teachers
Language of Instruction EN
Type of Course Lecture
Level of Course Select
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 98 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge Introduction to Mathematics Teaching Introduction to Educational Sciences
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To develop professional vision and pedagogical content knowledge and prepare prospective teachers for teaching profession.
Course Description The students learn how to conduct clinical interviews and how to respond to student thinking. The students learn how to participate in a lesson study cycle by learning to attend to significant aspects of teaching and learning and providing feedback for colleagues.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) exhibit professional noticing skills, attending to and interpreting student thinking in meaningful ways;
2) demonstrate reflection skills as teacher candidates;
3) understand fundamentals of conducting clinical interviews and practicing clinical interviews;
4) understand how to observe lessons;
5) exhibit reading and writing skills as well as provide feedback.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5
1) Relates economic knowledge with other social sciences and mathematics, and utilizes it in interdisciplinary analyses
2) Differentiates between the interactions of various fields of economics and synthesizes these distinctions
3) Analyzes economic phenomena by modeling microeconomic and macroeconomic theories using mathematical and statistical tools
4) Evaluate alternative theoretical approaches to solving complex economic problems and rationally apply their findings in decision-making processes
5) Analyze and compare different economic systems using quantitative techniques
6) Apply economic theoretical knowledge and models to issues related to the Turkish and global economies and design evidence-based policy recommendations
7) Analyzes economic data using econometric and statistical methods and presents the results using appropriate software programs
8) Conducts and reports on all stages of economic analysis in accordance with scientific and ethical principles
9) Uses written and spoken English (at least CEFR B2 level) in scientific knowledge sharing
10) Integrates social responsibility into economic decision-making processes
11) Develops the learning competencies necessary for further studies with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Relates economic knowledge with other social sciences and mathematics, and utilizes it in interdisciplinary analyses N
2) Differentiates between the interactions of various fields of economics and synthesizes these distinctions N
3) Analyzes economic phenomena by modeling microeconomic and macroeconomic theories using mathematical and statistical tools N
4) Evaluate alternative theoretical approaches to solving complex economic problems and rationally apply their findings in decision-making processes N
5) Analyze and compare different economic systems using quantitative techniques N
6) Apply economic theoretical knowledge and models to issues related to the Turkish and global economies and design evidence-based policy recommendations N
7) Analyzes economic data using econometric and statistical methods and presents the results using appropriate software programs N
8) Conducts and reports on all stages of economic analysis in accordance with scientific and ethical principles H
9) Uses written and spoken English (at least CEFR B2 level) in scientific knowledge sharing H
10) Integrates social responsibility into economic decision-making processes H
11) Develops the learning competencies necessary for further studies with a high degree of autonomy H
Prepared by and Date RUKİYE DİDEM TAYLAN ,
Course Coordinator BENGİ BİRGİLİ
Semester Spring
Name of Instructor

Course Contents

Week Subject
1) Introduction Information on the syllabus and norms of participating and contributing to in class and online discussions.
2) Clinical Interview Introduction (Reading and discussion board)
3) Different types of clinical interviews, mock clinical interview in class and reflecting on the experience Reading and Discussion board
4) Reflections on Clinical Interview Videos How to Design Clinical Interview
5) Conducting Clinical Interview
6) Presentations and Reflections on Clinical Interview
7) Introducing Lesson Study Research and Lesson Planning in Collaboration
8) Lesson Planning in Collaboration
9) Enactment of Lesson Plan and Watching the 1st cycle
10) Lesson Analysis and Lesson Plan Improvement
11) Enactment of Revised Lesson Plan and Watching the 2nd cycle
12) Reflecting on the Lesson Study Cycle
13) Conducting Final Clinical Interviews
14) Final Reflections
15) Final Examination Period.
16) Final Examination Period.
Required/Recommended ReadingsRequired readings: Ellemor-Collins, D. L., & Wright, R. J. (2008). Assessing student thinking about arithmetic: Videotaped interviews. Teaching Children Mathematics, 15(2), 106–109. Ginsburg, H. P., & Seo, K. H. (1999). Mathematics in children’s thinking. In Mathematical Thinking and Learning, Lawrence Erbaum Associates Inc. Groth, R.E., Bergner, J.A., & Burgess, C.R. (2016). An Exploration of prospective teachers’ learning of clinical interview techniques. Mathematics Teacher Education and Development, 18(2), 48-71. Hunting, H. P. (1997). Clinical interview methods in mathematics education research and practice. Journal of Mathematical Behavior, 16 (2), 145-165. Van Es, E., Stockero, S. L., Sherin, M.G., van Zoest, L.R., Dyer, E. (2015). Making the most of teacher self-captured video. Mathematics Teacher Educator, 4 (1). Lesson Study Handbook, retrieved from: https://www.projectmaths.ie/documents/LessonStudy1718/LessonStudyHandbook.pdf
Teaching MethodsFlipped Classroom model will be used while teaching this course. Students will gain first exposure to new course material outside of class, usually via reading or watching lecture videos/audios, and then class time will be used to assimilate that knowledge through classroom discussion. Students will access key course content individually prior to class time, generate their questions, underline the points that they find most difficult or hardly understand, and then meet face-to-face in the larger group with similar misunderstandings to explore content through active learning and engagement strategies. Students will assume responsibility of their own learning, and study core content before class. Students will be required to view different types of video materials related to teaching and learning and asked to provide reflections based on their own knowledge as learners and referencing the readings. Students will be asked to post their comments on the online discussion forums via blackboard ad provide feedback to their peers as well as react to readings or video materials. It is important that feedback is given in a constructive, thoughtful and professional manner. Students are expected to watch the relevant week’s video/audio before attending the class, and track their progress toward fulfilling the requirements of the course. Students will be asked to actively participate in their own learning by videotaping their clinical interviews and assessing their own progress. It is important that clinical interviews are conducted in a professional manner.
Homework and ProjectsClinical Interview Assignments. Details to be announced in the class and on the blackboard. Online Reflections through Blackboard (discussion form and journals, surveys announced on the blackboard). Lesson Study Reflection. Details to be announced in the class and on the blackboard. Watching Assigned Video Material and Doing Readings Assigned Each Week. Self-explanatory. Don’t forget to take notes for your own learning. Note: Please follow the blackboard and announcements in the class as the syllabus content may change according to the needs of the learners.
Laboratory WorkNone
Computer UseNone
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Attendance 1 % 5
Homework Assignments 1 % 35
Presentation 1 % 10
Project 1 % 30
Paper Submission 1 % 20
TOTAL % 100
Course Administration tayland@mef.edu.tr
+90 212 395 36 23
Asst. Prof. Dr. Rukiye Didem Taylan Office: 5th Floor Office Phone: +90 212 395 36 23 E-mail Address: tayland@mef.edu.tr Class Hours: Tuesday A 111 10:00-13:00 Office Hours: Wednesday 15:00 am – 16:00 pm You are encouraged to take advantage of instructor office hours for help with coursework or anything else connected with the course and your progress. Please feel free to communicate your concerns whenever you get stuck on anything that I may help. Your ideas, comments, suggestions, questions are also welcome. Grading Policies: Attendance will be taken strictly during the semester. Failing to attend to four courses will result in one full grade drop in your final grade. After four cases of absence every absence will deduct half a grade from your final grade. Academic Dishonesty/Misbehavior: Any activity that tends to compromise the academic integrity of MEF University or subvert the education process. Students who commit or assist in committing dishonest acts such as cheating, fabrication, and plagiarism are subject to downgrading (to a failing grade for the test, or other course-related activity/assignment, or for the entire course) and/or additional sanctions as described in the Student Code of Conduct at MEF University. Academic dishonesty and plagiarism: YOK Disciplinary Regulation

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 3 2 98
Total Workload 98
Total Workload/25 3.9
ECTS 5