Bilgi Paketi / Ders Kataloğu
| İlköğretim Matematik Öğretmenliği | |||||
| Lisans | Programın Süresi: 4 | Kredi Sayısı: 240 | TYYÇ: 6. Düzey | QF-EHEA: 1. Düzey | EQF: 6. Düzey |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Education | |||||
| Course Code | ELE 434 | |||||
| Course Title in English | Quantitative Data Analysis Techniques with SPSS | |||||
| Course Title in Turkish | SPSS ile Nicel Veri Analizi | |||||
| Language of Instruction | EN | |||||
| Type of Course | Lecture | |||||
| Level of Course | Seçiniz | |||||
| Semester | Bahar | |||||
| Contact Hours per Week |
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| Estimated Student Workload | 108 hours per semester | |||||
| Number of Credits | 5 ECTS | |||||
| Grading Mode | Standard Letter Grade | |||||
| Pre-requisites |
EDS 403 - Scientific Research Experience I |
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| Expected Prior Knowledge | Experience in academic research | |||||
| Co-requisites | None | |||||
| Registration Restrictions | Only Undergraduate Students | |||||
| Overall Educational Objective | To gain further knowledge on the important concepts in statistics for carrying out research in the field of education. | |||||
| Course Description | The course begins with the general concepts and terms of educational statistics. The course is aimed to teach prospective teachers how to analyze and interpret the data they collected related with their hypotheses determined in the scientific research methods course with appropriate statistical methods. It continues with teaching how to examine data, choosing the right analysis, analyzing the data with SPSS, visualizing the data and gaining the ability to interpret the results of analysis for effective decision making. | |||||
| Course Description in Turkish | Bu ders öncelikle istatistiğin genel kavram ve terimlerini öğreterek başlayacaktır. Dersin amacı, öğretmen adaylarının bilimsel araştırma yöntemleri dersinde belirledikleri hipotezlerine uygun topladıkları verileri uygun istatistiksel yöntemler ile analiz edip yorumlamasıdır. Öğretmen adaylarına günlük hayattan topladıkları veriler üzerinde etkili karar alabilmeleri için verileri inceleme, doğru analizi seçebilme, SPSS ile analizi uygulama, veriyi görselleştirme ve analiz sonuçlarını yorumlama becerisi kazandırmayı amaçlamaktadır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) 2) 3) 4) 5) 6) |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| 1) Apply effective and student-centered specific teaching methods and strategies in order to improve students’ mathematical thinking and problem solving skills. | ||||||
| 2) Design lesson plans based on how students learn mathematics and students’ difficulties in learning mathematics. | ||||||
| 3) Demonstrate knowledge in various areas of mathematics (such as analysis, algebra, linear algebra, geometry, topology, mathematical modeling, statistics and probability, differential equations) and nature of science and mathematics. | ||||||
| 4) Display knowledge and skills in developing programs, teaching technologies and materials in order to teach mathematics in effective and meaningful ways based on student needs. | ||||||
| 5) Evaluate and assess students’ individual developmental paths, difficulties in understanding mathematics in multiple ways and use assessment results in improving teaching and learning. | ||||||
| 6) Have an awareness of students’ social, cultural, economic and cognitive differences and plan the lessons and activities based on this awareness. | ||||||
| 7) Collaborate and respectively communicate with colleagues and student parents such that students learn mathematics in best ways and at the same time feel happy and safe. Work effectively within teams of their own discipline and multi-disciplinary as well as take individual responsibility when they work alone. | ||||||
| 8) Have awareness of need for life-long learning. Access information and following developments in education, science and technology. Display skills of solving problems related to their field, renew and improve themselves and critically analyze and question their own work. Use information technologies in effective ways. | ||||||
| 9) Use scientific investigation effectively to solve problems in mathematics teaching and learning based on scientific methods. Critically investigate, analyze and make a synthesis of data, and develop solutions to problems based on data and scientific sources. | ||||||
| 10) Exhibit skills of communicating effectively in oral and written Turkish and command of English at least at B2 general level of European Language Portfolio. | ||||||
| 11) Have awareness of and sensitivity to different cultures, values and students’ democratic rights. | ||||||
| 12) Display ethical and professional responsibilities. Have awareness of national and universal sensitivities that are expressed in National Education Fundamentals Laws. | ||||||
| 13) Demonstrate consciousness and sensitivity towards preserving nature and environment in the process of developing lesson activities. | ||||||
| 14) Display knowledge in national culture and history as well as international cultures and recognize their richness. Have awareness of and participate to developments in society, culture, arts and technology. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Apply effective and student-centered specific teaching methods and strategies in order to improve students’ mathematical thinking and problem solving skills. | N | |
| 2) | Design lesson plans based on how students learn mathematics and students’ difficulties in learning mathematics. | N | |
| 3) | Demonstrate knowledge in various areas of mathematics (such as analysis, algebra, linear algebra, geometry, topology, mathematical modeling, statistics and probability, differential equations) and nature of science and mathematics. | S | HW,Lab,Project |
| 4) | Display knowledge and skills in developing programs, teaching technologies and materials in order to teach mathematics in effective and meaningful ways based on student needs. | N | |
| 5) | Evaluate and assess students’ individual developmental paths, difficulties in understanding mathematics in multiple ways and use assessment results in improving teaching and learning. | H | Exam,Lab |
| 6) | Have an awareness of students’ social, cultural, economic and cognitive differences and plan the lessons and activities based on this awareness. | N | |
| 7) | Collaborate and respectively communicate with colleagues and student parents such that students learn mathematics in best ways and at the same time feel happy and safe. Work effectively within teams of their own discipline and multi-disciplinary as well as take individual responsibility when they work alone. | S | HW,Project |
| 8) | Have awareness of need for life-long learning. Access information and following developments in education, science and technology. Display skills of solving problems related to their field, renew and improve themselves and critically analyze and question their own work. Use information technologies in effective ways. | H | Exam,HW,Project |
| 9) | Use scientific investigation effectively to solve problems in mathematics teaching and learning based on scientific methods. Critically investigate, analyze and make a synthesis of data, and develop solutions to problems based on data and scientific sources. | N | |
| 10) | Exhibit skills of communicating effectively in oral and written Turkish and command of English at least at B2 general level of European Language Portfolio. | H | Exam,HW,Project |
| 11) | Have awareness of and sensitivity to different cultures, values and students’ democratic rights. | N | |
| 12) | Display ethical and professional responsibilities. Have awareness of national and universal sensitivities that are expressed in National Education Fundamentals Laws. | S | HW,Project |
| 13) | Demonstrate consciousness and sensitivity towards preserving nature and environment in the process of developing lesson activities. | N | |
| 14) | Display knowledge in national culture and history as well as international cultures and recognize their richness. Have awareness of and participate to developments in society, culture, arts and technology. | N |
| Prepared by and Date | BENGİ BİRGİLİ , |
| Course Coordinator | BENGİ BİRGİLİ |
| Semester | Bahar |
| Name of Instructor |
Course Contents
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| Required/Recommended Readings | List of readings and indication whether they are required or recommended. Required Books Gravetter, F. J. & Wallnau, L. B. (2016). Statistics for the behavioral sciences (10th ed.) Belmont, CA: Wadsworth. Green, S. B., Salkind, N. J., & Akey, T. M. (2008). Using SPSS for Windows and Macintosh: Analyzing and understanding data (5th ed.). Upper Saddle River, NJ: Prentice Hall. American Psychological Association (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC. Recommended Readings Nicol, A. A. & Pexman, P. M. (2010). Presenting your findings: A practical guide for creating tables. Washington, DC: American Psychological Association. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbuam. Keppel, G., & Wickens, T. D. (2004). Design and Analysis: A researcher's handbook (4th ed.). Upper Saddle River, NJ: Prentice Hall. Pallant, J. (2001). SPSS survival manual. Buckingham, UK: Open University. (HA 32. P355) Stevens, J. (2002). Applied multivariate statistics for the social sciences. Mahwah, NJ: Lawrence Erlbaum Associates. Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics. Needham Heights, MA: Allyn and Bacon. Suggested Online Resources: Introductory Statistics (http://www.psychstat.missouristate.edu/Introbook/sbk00.htm) Statistics Glossary (http://www.stats.gla.ac.uk/steps/glossary/index.html) Statistical Analysis on the Internet (http://www.quantitativeskills.com/sisa/) *SPSS SOFTWARE (required): You are expected to install SPSS software (version 24.0) to your computer as soon as possible. | ||||||||||||||||||
| Teaching Methods | Flipped learning will be used as the main teaching strategy. However, course lecture, direct instruction, and group work and discussions will be used. Students will discuss in their groups about practical aspects behind each analysis techniques. In the classroom/lab, they will actively engage in quantitative data analysis with SPSS and interpreting the results. | ||||||||||||||||||
| Homework and Projects | Assignments: Throughout the course you will be given six assignments. Each assignment will be graded over 50 points, and the primary intent of the assignments for you is to assess your on-going learning and to guide your own learning efforts. A rubric for assessment will be provided for each assignment. | ||||||||||||||||||
| Laboratory Work | |||||||||||||||||||
| Computer Use | SPSS Software during lab applications | ||||||||||||||||||
| Other Activities | |||||||||||||||||||
| Assessment Methods |
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| Course Administration |
birgilib@mef.edu.tr Instructor: Bengi Birgili e-mail: birgilib@mef.edu.tr Office Hours: 11:00-12:00 pm, Tuesday By appointment Rules for attendance: The student must attend at least 70% of the classes. Academic dishonesty and plagiarism: YOK Disciplinary Regulation |
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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 | ||||
| Ders Saati | 14 | 1 | 2 | 1 | 56 | ||
| Laboratuvar | 10 | 1 | 1 | 20 | |||
| Ödevler | 4 | 4 | 16 | ||||
| Ara Sınavlar | 1 | 4 | 2 | 6 | |||
| Final | 1 | 8 | 2 | 10 | |||
| Total Workload | 108 | ||||||
| Total Workload/25 | 4.3 | ||||||
| ECTS | 5 | ||||||