| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| HEA5014 | Institutional Research in Higher Education | Fall | 3 | 0 | 3 | 8 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. SİNEM VATANARTIRAN |
| Course Objectives: | The purpose of this course is to give an overview of data collection from the various stakeholders of universities. The topics of the course focuses on collecting data with regards to the following issues; student enrollment rates, student demographics, success and failure rates, student dropout rates and other related data that give insights to higher education administrators |
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The students who have succeeded in this course; I. Students will understand in what ways leaders at all levels within colleges and universities can effectively use data in the service of institutional improvement. II. Students will learn and discuss methods for analysis of data from surveys, campus information systems, national data sources, and other sources to support continuous improvement in higher education settings. III. Students will understand that evidence-based improvement efforts within higher education institutions are complex social, political, and symbolic processes. IV. Students will discuss about functional applications that include areas such as enrollment management and admissions, supporting student learning both in and out of the classroom, enhancing faculty working life, interacting meaningfully with external audiences (e.g., as part of accreditation and other accountability processes), and mapping the landscape of peer and competitor institutions |
| Importance of Evidence-Based Information in Decision Making Complex Social, Political and Symbolic Processes of Collecting Evidence Based Information Aspects of Institutional Improvement Ways of Collecting Data Using Data for Enrolment Management Using Data for Academic Achievement and Academic Excellence Using Data for Enhancing Faculty Working Life Accreditation ad Accountability Processes Mapping the Landscape of Competitor Institutions |
| Week | Subject | Related Preparation | |
| 1) | Importance of Evidence-Based Information in Decision Making | ||
| 2) | Complex Social, Political and Symbolic Processes of Collecting Evidence Based Information | ||
| 3) | Aspects of Instituional Improvement | ||
| 4) | Ways of Collecting Data | ||
| 5) | Ways of Collecting Data | ||
| 6) | Case Study | ||
| 7) | Using Data for Enrolment Management | ||
| 8) | Using Data for Enrolment Management | ||
| 9) | Using Data for Academic Achievement and Academic Excellence | ||
| 10) | Using Data for Enhancing Faculty Working Life | ||
| 11) | Using Data for Enhancing Faculty Working Life | ||
| 12) | Accreditation ad Accountability Processes | ||
| 13) | Accrediation ad Accountability Processes | ||
| 14) | Mapping the Landscape of Competitor Institutions | ||
| 15) | Final Exam | ||
| 16) | Final Exam | ||
| Course Notes: | Middaugh, M. f. (2009). Planning and Assessment in Higher Education: Demonstrating Institutional Effectiveness. Josey-Bass: San Francisco Howard, R. D., G. W. McLaughlin, and W. E. Knight. (2012). The Handbook of Institutional Research. John Wiley & Sons: San Francisco |
| References: | Case Studies / Vakalar |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 14 | % 15 |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | % 0 | |
| Presentation | % 0 | |
| Project | 1 | % 20 |
| Seminar | % 0 | |
| Midterms | 1 | % 25 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 40 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 16 | 3 | 48 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 2 | 6 | 12 |
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentations / Seminar | 3 | 6 | 18 |
| Project | 1 | 8 | 8 |
| Homework Assignments | 4 | 10 | 40 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | ||
| Midterms | 1 | 12 | 12 |
| Paper Submission | 0 | ||
| Jury | 0 | ||
| Final | 1 | 14 | 14 |
| Total Workload | 194 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |