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Course Description Course Name : Statistics in Education Course Code : BTS401 Course Type : Optional Level of Course : First Cycle Year of Study : 4 Course Semester : Fall (16 Weeks) ECTS : 4 Name of Lecturer(s) : Asst.Prof.Dr. M.EMRE SEZGİN Learning Outcomes of the Course : Explain basic concepts and applications of statistics. Explain the relations between daily life and statistics methods. Explain data gathering methods, data types and related concepts. Construct the relations between data types and analyzes. Suggest proper validity and reliability methods according to situation. Develop measurement instruments. Use appropriate analyze methods and report them. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : The goal of this course is to provide students with knowledge and and skills for using basic statistics. Course Contents : Importance of statistic in social life and teaching, data, data types, central tendency and dispersion, validity and reliability analyzes, reporting analyze results. Language of Instruction : Turkish Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Importance of Statistic in social life and teaching Related subjects in the course text book. Lecture, Question - Answer, Discussion. 2 Data and data types Related subjects in the course text book. Lecture, Question - Answer, Discussion. 3 Collecting data Related subjects in the course text book. Lecture, Question - Answer, Discussion. 4 Central tendency statistics Related subjects in the course text book. Lecture, Question - Answer, Discussion. 5 Central dispersion statistics Related subjects in the course text book. Lecture, Question - Answer, Discussion. 6 Concepts and application for assessing academic achievement Related subjects in the course text book. Lecture, Question - Answer, Discussion. 7 Item analysis: Item difficulty index, discrimination index Related subjects in the course text book. Lecture, Question - Answer, Discussion. 8 Mid-term Exams Preparing for the exam and reviewing the topics Multiple choice test 9 KR20 and KR21 coefficients Related subjects in the course text book. Lecture, Question - Answer, Discussion. 10 Review course and planning students projects. Related subjects in the course text book. Lecture, Question - Answer, Discussion. 11 Computing in Excel and SPSS Related subjects in the course text book. Lecture, Question - Answer, Discussion. 12 Presentations and discussions Related subjects in the course text book. Lecture, Question - Answer, Discussion. 13 Presentations and discussions Related subjects in the course text book. Lecture, Question - Answer, Discussion. 14 Presentations and discussions Related subjects in the course text book. Lecture, Question - Answer, Discussion. 15 Evaluation of outcomes and general evaluation of the course Related subjects in the course text book. Lecture, Question - Answer, Discussion. 16/17 Final Assessments Preparing for the exam and reviewing the topics Multiple choice test   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Sosyal Bilimler İçin İstatistik, Şener Büyüköztürk Ömay Çokluk Bökeoğlu Nilgün Köklü (2010), Ankara: Pegem Akademi Yayıncılık. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 20     Homeworks/Projects/Others 5 80 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Utilize concepts and applications of scientific research and basic statistics, which are the basis of scientific thinking, for the conditions in the scope of the field and related fields. 3 2 Explain sub-fields of instructional technologies and integral structure of its process and also its relation to the other fields. 2 3 Put forward the complex structure of the problems related to learning and teaching for the given situations based on the knowledge of instructional technologies and related fields. 3 4 Develop a plan, apply the plan and assess the results based on scientific view for the solution of the problems presented in the scope of the field or related fields. 4 5 Put forward new products or processes on the basis of components of instructional technologies, computer science, for the related situations. 0 6 Develop a personal proposal, a product or a group of processes for the solution of a problem related to the field as an indicator of the skills of working independently and taking responsibility. 2 7 Take responsibility of an individual or group projects and accomplishing his/her undertaken missions. 2 8 Follow current problems and applications and determining information and skills to undertake learning missions for the following stage. 3 9 Explain the integral structure of instructional technologies and information technologies or computer science applications. 3 10 Explain concepts that constitutes the basis for scientific thinking in the scope of the field and the related fields. 2 11 Apply the processes of analysis, design, development, and evaluation on the basis of knowledge of instructional technologies. 4 12 Utilize information technologies and computer science applications in order to create an effective and productive learning environment. 3 13 Apply the solution for the problem on the basis of scientific and ethical values when she/he confronts a learning problem. 3 14 Build a healthy communication with students, teachers, school administration, and the individuals in the study group. 3 15 Comprehend a foreign language in order to follow the international resources that can be utilized for the solution of problems related to the field. 2 16 Take responsibilities for the distribution and dissemination of the developments in the field on local or national range. 3 17 Act on the basis of scientific and ethical values in her/his works and also support preservation and learning of these values. 3 18 Develop and evaluate strategic views on topic related to the future of the field. 3 19 Transfer related progresses in other related fields to the field of instructional technologies. 4 20 Create and maintain a cooperative and productive working environment by developing an insight related to the behaviors of the shareholders. 3 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 2 28 Assesment Related Works     Homeworks, Projects, Others 5 5 25     Mid-term Exams (Written, Oral, etc.) 1 3 3     Final Exam 1 3 3 Total Workload: 101 Total Workload / 25 (h): 4.04 ECTS Credit: 4