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eAssessment:
Emerging and Emergent
Professor Michael Sankey
Dr Jude Williams
Georgina Sanger
Learning Futures
What we will get-up-to this morning
 What do we already understand about digital assessment
 What are our current pain-points
 We will identify where these sit on our assessment lifecycle
 Talk through some of the emerging tools and techniques, such as:
 Contract cheating and some ways to address this
 Digital exams and proctoring some tools now available
 Conditional assessments and Marking tools
 Looking at what’s possible in Office 365 + BB
 Use of voice in assessment
 Action planning and aligning with our current L&T principles/priorities
 Addressing things not covered
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Project team
Lead institution
• University of South Australia (Project co-leaders: Tracey Bretag & Rowena Harper)
Partner institutions
• Griffith University (Karen van Haeringen)
• University of NSW (Cath Ellis)
• University of Sydney (Pearl Rozenberg)
• Swansea University, UK (Phil Newton)
Data analyst
• Michael Burton (University of Western Australia)
Project Manager
• Sonia Saddiqui (University of South Australia)
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Respondents
N = 14,086
• Eight universities from six states – NSW, VIC, QLD, TAS, SA, WA
• 57% Female, 41% Male
• 29% 17-20 years old, 37% 21-25, 12% 26-30, 12% over 30
• 69% Undergraduates, 21% Postgraduate Coursework, 9% Postgraduate
Research
• 85% Domestic, 15% International
• 65% Internal students, 26% Blended mode, 9% External (online only)
• 79% English speaking, 21% Language Other than English (LOTE)
• 50% Group of Eight, 50% non-Group of Eight
Key findings
Prevalence and nature of contract cheating
• Relatively few students (6%) have engaged in contract cheating
• Lots of students are sharing… and sharing is twice as common
among students who have cheated
• Despite the widespread availability of file-sharing websites and
commercial cheating services, students still primarily engage in
outsourcing with people they know: students, friends, and family
Key findings
Individual, contextual and institutional factors correlated with
contract cheating:
• Dissatisfaction with the teaching and learning items
• Perceptions that there were lots of opportunities to cheat
• Speaking a language other than English at home (for
arranging for someone to assist with or complete an exam)
• Domestic student status (both exam impersonation
behaviours)
Key findings
Staff experiences with contract cheating
• Almost 70% of teaching staff have suspected outsourced
assignments at least once
• Knowing the student is an important signal
• Although most referred cases are substantiated and penalised,
many staff do not pursue suspected breaches
• misperceptions it is ‘impossible to prove’
• not informed about outcomes
• concerns about penalties
Key findings
Staff and student attitudes towards contract cheating
• Staff consider contract cheating to be a serious matter
• Although students tend to believe cheating is ‘wrong’, most
are not concerned that students are engaging in it
• Staff and students alike are ambivalent about note-sharing
Key findings
Individual, contextual and institutional factors correlated with
contract cheating
• Departmental and institutional academic integrity policies and
practices are perceived to help minimise contract cheating
• Practical conditions of teaching (workload, contact time, class
sizes) are perceived barriers to minimising contract cheating
• The performance review and reward environment is not
perceived to incentivise minimisation of contract cheating
Cheating can be minimised by:
• encouraging students to get more concerned about this problem
• recognising the particular needs of LOTE students
• improving the teaching and learning environment
• reducing opportunities to cheat through course & assessment
design
• supporting educators to know their students
• ensuring processes of breach detection, reporting,
substantiation, penalisation and communication
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Identifying our assessment pain-
points
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 Individually, identify 3 key pain-points around
digital assessment that you either currently
experience, or are aware of
 Write each one down on a sticky note
 As your table share what your points are
 Assign a scribe at your table to collect an
agreed-on set of three pain-points
 Each table to share this with the room and
we will then place them on the assessment
life cycle.
Just a few contenders
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+ 20
More
Example - ExamSoft
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 ExamSoft is an assessment platform currently being used at 1,400
institutes worldwide. Uni’s such as The University of Queensland,
Bond, Macquarie and the likes of Harvard Medicine overseas.
 ExamSoft allows large numbers of students to take their exams on
their own BYOD laptop or a school owned device, securely and offline.
This device can a PC, Mac or iPad.
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ProctorU
We have online proctoring with ProctorU for the following courses (final exams):
 7801AFE Investments
 7817AFE Income Tax Law
 7823AFE Principles of Business and Corporations Law
 7822AFE Applied Taxation
 7806AFE Econometric Methods
 7810AFE Derivatives and Risk Management
We are currently investigating expanding authentication and security methods to
include 'keystroke analysis' with ProctorU
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What a few others are doing
Institution Policy and practice Technology
UTS Exploring BYOD options and designing assessment to motivate students
to learn
Blackboard quizzes, Respondus
QUT Currently exploring options Currently exploring options
UC Exploring options to provide online exams and proctoring of remote
students
Canvas, reviewing Respondus and
Proctorio
UQ Exploring options via en eExams project UBlackboard quizzes in lab and
take-home tests, piloted
ExamSoft
Sydney - Canvas, piloting Examity
Murdoch Exploring BYOD Moodle quizzes, SafeExam
Browser extension
UNE Developing ideas around best practice Proctor U
Griffith Proctoring of Examinations Policy, exploring options more broadly Proctor U
CSU Operating in pilot mode and looking to review policies and procedures Proctor U, Blackboard test centre
The project aims to securely and sustainably leverage 'bring your own devices'
(BYO laptops) for high stakes, face-to-face invigilated examinations, primarily
for on-campus context.
michael_sankey
5 online alternatives to exams
Adaptive testing
 Testing based on an item bank, pinpointing where learners can improve. When they get a
question wrong, an easier one is generated, if they get one right a harder one comes up.
On-screen testing
 Testing for non-written items, i.e. pictures, diagrams and drag-and-drop tasks.
Randomizing questions mean there's no danger of students copying each other.
Simulations
 Immerse them in the simulation of a real-life scenario and assess how they respond to
applying their knowledge in that context. Delivered using tablet-based technologies.
e-Portfolio
 Allow student work to be verified, graded with remote feedback. They have an up-to-date,
representation of their competencies. Ideal for demonstrating practical skills.
Work-readiness
 Work placements and reflections used in conjunction with other assessments.
michael_sankey
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Some other assessment alternatives
Advertisement
Analysis and response to a
case study
Analysis of data or a graph
Analysis of an event,
performance, or work of art
Annotated bibliography Brochure Chart, graph, or diagram Debate
Description of a process
Development of a product
or proposal
Diagram, table, chart, or
visual aid
Diary entry for a real or
fictional character
Executive summary Explanation of a multiple-
choice answer
Introduction to a research
paper or essay
Legal brief
Letter to a friend Literature review Meaningful paragraph
Newspaper article or
editorial
Performance: e.g., a
presentation
Policy memo or executive
summary
Work of art, music,
architecture, sculpture
Practical exam or evaluation
of lab skills
Poem, play, or dialogue A Portfolio PowerPoint presentation
A Reflection on what they
have learned
Research proposal
Review of a book, play,
performance
Scientific abstract Create a Poster
Our Griffith suite of tools
 The Tech Ecosystem
 A discovery tool developed by Learning Futures
 Used to find information about applications and
technologies to assist in delivering better teaching
 To help discover learning and teaching practices,
technologies and strategies to inspire and engage
our learners.
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Enter
Office 365
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Application of artificial intelligence to assessment
Artificial intelligence
 the ability of automated systems to perform tasks that until recently
required human or other biological information processing.
+
Machine learning
 Algorithmic processes that operate on data sets and are then able to
cluster, classify, recognize, or identify patterns in new data.
michael_sankey
Some ML/AI Tools
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The human voice in assessment
 Speech recognition allows the voice to serve as the main interface
 Originally used for students with disabilities
 Both Microsoft and Apple have built-in speech recognition capabilities
 Presentation tools (PowerPoint, Prezi), Camtasia, podcast, vodcast, Skype,
audio and video conference, voice threading, collaboration tools (Blackboard
collaborate).
michael_sankey
 Enables more efficient, reliable, and authentic assessment
 Speech recognition technologies capture and analyze speech
for words, comprehension, and prosody
 English Language Learners for spoken responses to short
answer tasks; speech recognition and text evaluation
technologies return diagnostic and comprehensive measures of
language skills (reading, writing, speaking, and listening)
 ML technologies can be applied to any content area, including
science, social studies and math
michael_sankey
Action planning
 If we could influence the assessment committee what would be our
three priorities for digital assessment (moving forward)?
 What are we going to do?
 What are the barriers?
 How could they be overcome?
 What resources are we going to use/need?
 Who will be responsible for action/s?
 When are we going to do it (timelines)?
 When can schools expect resources to enable ‘roll out’?
michael_sankey

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e-Assessment Workshop May 2018

  • 1. eAssessment: Emerging and Emergent Professor Michael Sankey Dr Jude Williams Georgina Sanger Learning Futures
  • 2. What we will get-up-to this morning  What do we already understand about digital assessment  What are our current pain-points  We will identify where these sit on our assessment lifecycle  Talk through some of the emerging tools and techniques, such as:  Contract cheating and some ways to address this  Digital exams and proctoring some tools now available  Conditional assessments and Marking tools  Looking at what’s possible in Office 365 + BB  Use of voice in assessment  Action planning and aligning with our current L&T principles/priorities  Addressing things not covered michael_sankey
  • 4. Project team Lead institution • University of South Australia (Project co-leaders: Tracey Bretag & Rowena Harper) Partner institutions • Griffith University (Karen van Haeringen) • University of NSW (Cath Ellis) • University of Sydney (Pearl Rozenberg) • Swansea University, UK (Phil Newton) Data analyst • Michael Burton (University of Western Australia) Project Manager • Sonia Saddiqui (University of South Australia) michael_sankey
  • 5. Respondents N = 14,086 • Eight universities from six states – NSW, VIC, QLD, TAS, SA, WA • 57% Female, 41% Male • 29% 17-20 years old, 37% 21-25, 12% 26-30, 12% over 30 • 69% Undergraduates, 21% Postgraduate Coursework, 9% Postgraduate Research • 85% Domestic, 15% International • 65% Internal students, 26% Blended mode, 9% External (online only) • 79% English speaking, 21% Language Other than English (LOTE) • 50% Group of Eight, 50% non-Group of Eight
  • 6. Key findings Prevalence and nature of contract cheating • Relatively few students (6%) have engaged in contract cheating • Lots of students are sharing… and sharing is twice as common among students who have cheated • Despite the widespread availability of file-sharing websites and commercial cheating services, students still primarily engage in outsourcing with people they know: students, friends, and family
  • 7. Key findings Individual, contextual and institutional factors correlated with contract cheating: • Dissatisfaction with the teaching and learning items • Perceptions that there were lots of opportunities to cheat • Speaking a language other than English at home (for arranging for someone to assist with or complete an exam) • Domestic student status (both exam impersonation behaviours)
  • 8. Key findings Staff experiences with contract cheating • Almost 70% of teaching staff have suspected outsourced assignments at least once • Knowing the student is an important signal • Although most referred cases are substantiated and penalised, many staff do not pursue suspected breaches • misperceptions it is ‘impossible to prove’ • not informed about outcomes • concerns about penalties
  • 9. Key findings Staff and student attitudes towards contract cheating • Staff consider contract cheating to be a serious matter • Although students tend to believe cheating is ‘wrong’, most are not concerned that students are engaging in it • Staff and students alike are ambivalent about note-sharing
  • 10. Key findings Individual, contextual and institutional factors correlated with contract cheating • Departmental and institutional academic integrity policies and practices are perceived to help minimise contract cheating • Practical conditions of teaching (workload, contact time, class sizes) are perceived barriers to minimising contract cheating • The performance review and reward environment is not perceived to incentivise minimisation of contract cheating
  • 11. Cheating can be minimised by: • encouraging students to get more concerned about this problem • recognising the particular needs of LOTE students • improving the teaching and learning environment • reducing opportunities to cheat through course & assessment design • supporting educators to know their students • ensuring processes of breach detection, reporting, substantiation, penalisation and communication michael_sankey
  • 12. Identifying our assessment pain- points michael_sankey  Individually, identify 3 key pain-points around digital assessment that you either currently experience, or are aware of  Write each one down on a sticky note  As your table share what your points are  Assign a scribe at your table to collect an agreed-on set of three pain-points  Each table to share this with the room and we will then place them on the assessment life cycle.
  • 13. Just a few contenders michael_sankey + 20 More
  • 14. Example - ExamSoft michael_sankey  ExamSoft is an assessment platform currently being used at 1,400 institutes worldwide. Uni’s such as The University of Queensland, Bond, Macquarie and the likes of Harvard Medicine overseas.  ExamSoft allows large numbers of students to take their exams on their own BYOD laptop or a school owned device, securely and offline. This device can a PC, Mac or iPad.
  • 16.
  • 17. ProctorU We have online proctoring with ProctorU for the following courses (final exams):  7801AFE Investments  7817AFE Income Tax Law  7823AFE Principles of Business and Corporations Law  7822AFE Applied Taxation  7806AFE Econometric Methods  7810AFE Derivatives and Risk Management We are currently investigating expanding authentication and security methods to include 'keystroke analysis' with ProctorU michael_sankey
  • 23. What a few others are doing Institution Policy and practice Technology UTS Exploring BYOD options and designing assessment to motivate students to learn Blackboard quizzes, Respondus QUT Currently exploring options Currently exploring options UC Exploring options to provide online exams and proctoring of remote students Canvas, reviewing Respondus and Proctorio UQ Exploring options via en eExams project UBlackboard quizzes in lab and take-home tests, piloted ExamSoft Sydney - Canvas, piloting Examity Murdoch Exploring BYOD Moodle quizzes, SafeExam Browser extension UNE Developing ideas around best practice Proctor U Griffith Proctoring of Examinations Policy, exploring options more broadly Proctor U CSU Operating in pilot mode and looking to review policies and procedures Proctor U, Blackboard test centre
  • 24. The project aims to securely and sustainably leverage 'bring your own devices' (BYO laptops) for high stakes, face-to-face invigilated examinations, primarily for on-campus context. michael_sankey
  • 25. 5 online alternatives to exams Adaptive testing  Testing based on an item bank, pinpointing where learners can improve. When they get a question wrong, an easier one is generated, if they get one right a harder one comes up. On-screen testing  Testing for non-written items, i.e. pictures, diagrams and drag-and-drop tasks. Randomizing questions mean there's no danger of students copying each other. Simulations  Immerse them in the simulation of a real-life scenario and assess how they respond to applying their knowledge in that context. Delivered using tablet-based technologies. e-Portfolio  Allow student work to be verified, graded with remote feedback. They have an up-to-date, representation of their competencies. Ideal for demonstrating practical skills. Work-readiness  Work placements and reflections used in conjunction with other assessments. michael_sankey
  • 26. michael_sankey Some other assessment alternatives Advertisement Analysis and response to a case study Analysis of data or a graph Analysis of an event, performance, or work of art Annotated bibliography Brochure Chart, graph, or diagram Debate Description of a process Development of a product or proposal Diagram, table, chart, or visual aid Diary entry for a real or fictional character Executive summary Explanation of a multiple- choice answer Introduction to a research paper or essay Legal brief Letter to a friend Literature review Meaningful paragraph Newspaper article or editorial Performance: e.g., a presentation Policy memo or executive summary Work of art, music, architecture, sculpture Practical exam or evaluation of lab skills Poem, play, or dialogue A Portfolio PowerPoint presentation A Reflection on what they have learned Research proposal Review of a book, play, performance Scientific abstract Create a Poster
  • 27. Our Griffith suite of tools  The Tech Ecosystem  A discovery tool developed by Learning Futures  Used to find information about applications and technologies to assist in delivering better teaching  To help discover learning and teaching practices, technologies and strategies to inspire and engage our learners. michael_sankey
  • 33. Application of artificial intelligence to assessment Artificial intelligence  the ability of automated systems to perform tasks that until recently required human or other biological information processing. + Machine learning  Algorithmic processes that operate on data sets and are then able to cluster, classify, recognize, or identify patterns in new data. michael_sankey
  • 35. The human voice in assessment  Speech recognition allows the voice to serve as the main interface  Originally used for students with disabilities  Both Microsoft and Apple have built-in speech recognition capabilities  Presentation tools (PowerPoint, Prezi), Camtasia, podcast, vodcast, Skype, audio and video conference, voice threading, collaboration tools (Blackboard collaborate). michael_sankey
  • 36.  Enables more efficient, reliable, and authentic assessment  Speech recognition technologies capture and analyze speech for words, comprehension, and prosody  English Language Learners for spoken responses to short answer tasks; speech recognition and text evaluation technologies return diagnostic and comprehensive measures of language skills (reading, writing, speaking, and listening)  ML technologies can be applied to any content area, including science, social studies and math michael_sankey
  • 37. Action planning  If we could influence the assessment committee what would be our three priorities for digital assessment (moving forward)?  What are we going to do?  What are the barriers?  How could they be overcome?  What resources are we going to use/need?  Who will be responsible for action/s?  When are we going to do it (timelines)?  When can schools expect resources to enable ‘roll out’? michael_sankey