EDUC 7015 - Measurement, Assessment & Evaluation
North Terrace Campus - Quadmester 3 - 2017
General Course Information
Course Code EDUC 7015 Course Measurement, Assessment & Evaluation Coordinating Unit School of Education Term Quadmester 3 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 3 hours per week Available for Study Abroad and Exchange Y Prerequisites EDUC 7011/7011NA Introduction to Quantitative Methods Assumed Knowledge EDUC 6553/6553NA Assessment and Evaluation in Education Course Description This course assumes knowledge of introductory statistics/quantitative methods and is concerned with the major developments that have occurred during the past 30 years to improve the measurement and evidence-informed progress in education and human sciences. There are many models that are derived from Item Response Theory. This course focuses on those models developed by Georg Rasch and scholars working within the framework that he proposed with the use of the logistic function to transform data so that it would possess sound measurement and objective properties. The course adopts a practical approach, through the analyses and interpretation of datasets, and examines applications in assessment, evaluation and measurement, including test development, test scaling, standard setting, differential item/distractor functioning, test equating, item banking, and computer adaptive testing.
Course Coordinator: Dr Igusti Darmawan
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesThe course introduces the broad concepts, theories and practices in assessment and evaluation. Students are also introduced to the theory of objective measurement with insights into the use of Rasch Measurement models and its applications in education and human sciences.
The course provides theoretical, collaborative-dialogue and hands-on sessions, and seeks to:
1) Present accessible overview of the basic principles of measurement, especially Rasch Measurement models (dichotomous, rating scale, partial credit, and many-facet data) and procedures;
2) Demonstrate how Rasch Measurement models and procedures can be applied to a number of common issues (item and person calibration, performance and judged data, DIF – item bias and DDF, problems with raw scores and rubrics, raters and markers) encountered by researchers;
3) Elucidate theoretical and methodological issues in measurement, assessment and evaluation;
4) Foster greater awareness in the fields of education and human sciences of the significance of sound measurement and reporting practices;
5) Create a platform for scholars to share applications of objective measurement principles and procedures for quality research inferences and policy decisions.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
3 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
1,2 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
4 Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
Recommended ResourcesBond, T.G. and Fox, C.M. (2015), Applying the Rasch Model: Fundamental Measurement in the Human Sciences (3rd edition), New York: Routledge
Learning & Teaching Activities
Learning & Teaching Modes
A balance between ‘student centred’ and ‘teacher centred’ approaches to learning with emphasis on fostering an engaging learning pedagogy will be used in this course. Lectures will be supported by discussions and problem-solving practicals using computer programs which will require active participation from students.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
- Contact time : 48hours (24hours lectures, 24hours practicals)
- Non-contact time : 100 hours (readings, home works, and assignments)
Learning Activities Summary
Session 1 Assessment and Evaluation in Education and the Human Sciences;
Reliability and Validity
Session 2 Classical Test Theory, Item Analysis and Reliability Session 3 Probabilistic models and Item Response Modeling; Rasch Measurement Session 4 Equating of Tests Session 5 Item characteristic curve, Person characteristic curve, Item Fit, Person Fit Session 6 DIF (item) and DDF (distractors) Session 7 Rating Scale Analysis Session 8 Analysis of Partial Credit Model Session 9 Rater/Marker Measurement Session 10 Performance Assessment
Examining Rubrics & Standards
Session 11 Facet Measurement
Session 12 Item Banking
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assignment 1 : Practical portfolio
Type : Formative and Summative (Individual)
Due Date : at the beginning of each session (5 sessions)
Weighting : 20%
Learning objectives : 1, 2, 3
Assignment 2 : Report 1
Type : Summative (Individual)
Due Date : Session 8
Weighting : 40%
Learning objectives : 1, 2, 3, 4, 5
Assignment 3 : Report 2
Type : Summative (Individual)
Due Date : Session 14
Weighting : 40%
Learning objectives : 1, 2, 3, 4, 5
Assessment 1: Practical Portfolio
Each session you are required to show competence in working with computer programs by preparing a portfolio of assignment from practicals.
Assignments 2 and 3: Report 1 and Report 2
Each report consists of an analysis report (40% each). Each ‘analysis report’ assignment involves the preparation of a report on the problem using the following headings.
1. Statement of problem
2. Methods of solution of problem
3. Chosen method of analysis of data
4. Data under examination
5. Results of analysis
6. Discussion of results
7. Conclusion, with comments on further work.
The four problems proposed for resolution are:
1. Detection of differential item/distractor functioning
2. Rater agreement and analyses
3. Equating of tests
4. Facet analysis
- Students must retain a copy of all assignments submitted.
- All individual assignments must be attached to an Assignment Cover Sheet which must be signed and dated by the student before submission.
- All group assignments must be attached to a Group Assignment Cover Sheet which must be signed and dated by all group members before submission. All team members are expected to contribute approximately equally to a group assignment.
- Markers can refuse to accept assignments which do not have a signed acknowledgement of the University’s policy on plagiarism (refer to policy on plagiarism above).
- Requests for extensions will be considered only if they are made three days before the due date for which the extension is being sought. Students must apply to the lecturer concerned on the ‘Application for Extension’ form at the back of the Academic Program Handbook
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
- Academic Support with Maths
- Academic Support with writing and speaking skills
- Student Life Counselling Support - Personal counselling for issues affecting study
- International Student Support
- AUU Student Care - Advocacy, confidential counselling, welfare support and advice
- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
- LinkedIn Learning
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Elder Conservatorium of Music Noise Management Plan
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.
The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.