In this course, participants will develop in depth knowledge of current research and innovations, including the ethical use of artificial intelligence (AI) in mathematics education, in the development of mathematical literacy (content, procedural, and conceptual knowledge) in mathematics contexts. Participants will also learn to synthesise research-informed strategies to assess mathematical literacy progression in mathematics contexts and be able to critically analyse their effectiveness in their own professional practice environments. This in depth knowledge will be further enhanced by developing a critical awareness and professional competence in effective formative and summative assessment practices in contexts of mathematics concept and skill progression. Participants will be introduced to up to date research-informed classroom-based formative and summative assessment strategies that are aligned to relevant UAE standards and the National Educators Competency Framework (NECF). Participants will consider how formative and summative assessment practices can be best adapted in inclusive and culturally responsive ways in UAE school and classroom contexts. Participants will then learn how to critically evaluate assessment and evaluation strategies and how to use assessment evidence generated through these strategies including insights from AI-enhanced analytics; to inform their teaching practices, decision making and supports for the learning progression of all students.
Week 1
Course Overview
Introduction to Assessment
What is assessment?
General overview of assessment types
Required Reading
Media SA
Week 2
Analyzing practical activities for learning and assessment
Introduction to Problem-Solving
Assessing problem-solving
Does this activity develop conceptual knowledge, problem solving skills and procedural knowledge?
Appropriate use of AI in developing and assessing problem-solving tasks
Required Reading:
Recommended Reading:
Week 3
Assessment in Mathematics Education
Clarifying and negotiating the meaning of learning objectives
Clarifying criteria of quality and success criteria
Required Reading:
Week 4
Assessment in Mathematics Education
Questioning strategies
Required Reading:
Recommended Reading:
Week 5
Formative assessment /AfL strategies in Mathematics:
Written and Verbal Feedback linking to effective Success Criteria.
Required Reading:
Week 6
Formative assessment Strategies in Mathematics:
Peer and Self-Assessment
Ethical and appropriate use of AI in formative assessment
Required Reading:
Recommended Reading:
Week 7
Formative assessment Strategies in Mathematics:
Reliability and validity of formative assessments
Required Reading:
Assessment 1A due
Week 8
Summative Assessment Strategies in Mathematics
Designing effective tools
Reliability and validity of summative assessments
Ethical and appropriate use of AI in summative assessments
Required Reading:
Week 9
Summative Assessment Strategies in Mathematics
International Assessments – PISA and TIMSS
National Educators Competency Framework (NECF)
Required Reading:
Week 10
Assessment Informed Teaching and Learning
Integrating assessment evidence into teaching and learning improvements
Formative use of summative assessment outcomes
Ethical and appropriate use of AI
Required Reading:
Week 11
Reflection on the course content and activities
Student Presentations
Assessments 1B and 1C due