STATS 708 : Topics in Statistical Education


2021 Semester One (1213) (15 POINTS)

Course Prescription

Covers a wide range of research in statistics education at the school and tertiary level. There will be a consideration of, and an examination of, the issues involved in statistics education in the curriculum, teaching, learning, technology and assessment areas.

Course Overview

STATS 708 covers a wide range of New Zealand and international research in statistics education at the school and tertiary level. The focus is on how probability, statistics, and statistical literacy can be effectively taught and learned. Theories and ideas from the research are critically examined, discussed and developed. Consideration of issues involved in learning statistics and probability are examined through research literature discussions, practical applications for the classroom including computer-based activities, and lectures.
By the end of STATS 708, students should be able to state, and argue coherently for, their perspective on statistics education: how and why specific teaching and learning strategies should be used; the implications of research for teaching and learning; the relationship between statistical learning and assessment; and so forth.
This course will be beneficial for all statistics students, especially those intending to pursue an academic career or a career in teaching.

Course Requirements

No pre-requisites or restrictions

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 4: Communication and Engagement
Capability 5: Independence and Integrity
Graduate Profile: Master of Science

Learning Outcomes

By the end of this course, students will be able to:
  1. Describe an assessment item that was trialled on students and justify findings in relation to research knowledge on students' statistical reasoning. (Capability 1 and 4)
  2. Communicate effectively to an audience, using technology and audience participation, a scholarly account of research conducted in a specific area of statistics education research. (Capability 4)
  3. Critically evaluate and synthesise research articles including questioning research findings and posing thought-provoking questions. (Capability 2 and 4)
  4. Critically evaluate and synthesise at least five self-selected significant articles, reflect on these articles and produce a logically-structured argument. (Capability 4 and 5)


Assessment Type Percentage Classification
Reflection Journal 20% Individual Coursework
Short Task 10% Group & Individual Coursework
Essay 50% Individual Coursework
Presentation 20% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4
Reflection Journal
Short Task

Special Requirements

Lectures are 4pm-7pm.

Workload Expectations

This course is a standard 15 point course and students are expected to spend 150 hours per semester involved in each 15 point course that they are enrolled in.

For this course, each week you can expect 3 hours of lectures, 2 hours of reading and thinking about the content and 7.5 hours of work on assessment preparation and completion.

Delivery Mode

Campus Experience

This course is available for remote students.
The activities for the course are scheduled as a standard weekly timetable.
Online office hours (Zoom) will be arranged as the need arises.

Learning Resources

Readings for the course will be made available on Canvas.

Student Feedback

During the course Class Representatives in each class can take feedback to the staff responsible for the course and staff-student consultative committees.

At the end of the course students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback.

Your feedback helps to improve the course and its delivery for all students.

Digital Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.


The content and delivery of content in this course are protected by copyright. Material belonging to others may have been used in this course and copied by and solely for the educational purposes of the University under license.

You may copy the course content for the purposes of private study or research, but you may not upload onto any third party site, make a further copy or sell, alter or further reproduce or distribute any part of the course content to another person.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and your assessment is fair, and not compromised. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator, and if disruption occurs you should refer to the University Website for information about how to proceed.

Level 1: Delivered normally as specified in Delivery Mode.
Level 2: You will not be required to attend in person. All teaching and assessment will have a remote option. 
Levels 3/4: All teaching activities and assessments are delivered remotely.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter


Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 26/10/2022 10:07 a.m.