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EXPLORING DIGITAL
ASSESSMENTS: HOW TEACHERS
IMPROVE LEARNING OUTCOMES
Dr. Thomas DeVere Wolsey
Graduate School of Education, The American University in Cairo
EduForum 2018
https://tinyurl.com/TDWolsey
FORMATIVE ASSESSMENT
3 TYPES OF FORMATIVE ASSESSMENT
3 TYPES OF FORMATIVE ASSESSMENT
3 TYPES OF FORMATIVE ASSESSMENT
LET’S GO TO CLASS
classroom.google.com
FEEDBACK
Feedback Matrix
Purposes Types Qualities
• Feed back
(How am I
going?)
• Feed up
(Where am I
going?)
• Feed forward
(where to
next?)
Affirmations
Clarifications about
confusing points
Observations about the
work
Corrections: content
Corrections: mechanics,
usage, spelling, style,
etc.
Questions
Exploratory
Personal
Identified positive aspects of
the work
Explains rather than labels
Perceptive
Corrective
Compassionate
Useful
Timely
Linked to specific criteria
Expands or elaborates on
key ideas
FEEDBACK
Teachers can help students use
feedback. Teach them
 Not to be afraid of feedback
 A note about scores and marks
 Listen and read the feedback carefully
 Feed forward what you learned to the
next assignment
RUBRICS
Rubrics online
Teachnology offers rubrics at: http://www.teach-
nology.com/web_tools/rubrics/ but you’ll need to register.
Rubistar, a project of ALTEC, has a useful rubric generator available at:
http://rubistar.4teachers.org/index.php
Google add-in by dostuffgood.org Create and send customizable rubrics and
scores to students by email for any assignment.
https://chrome.google.com/webstore/detail/online-
rubric/fiiglmgmcodoglllnbfebbhkfidikfbo?utm_source=permalink
BIG DATA
 Here’s Gartner’s definition, circa 2001 (which is still the go-to
definition): Big data is data that contains greater variety arriving in
increasing volumes and with ever-higher velocity. This is known as
the three Vs.
 Put simply, big data is larger, more complex data sets, especially from
new data sources. These data sets are so voluminous that traditional
data processing software just can’t manage them. But these massive
volumes of data can be used to address business problems you
wouldn’t have been able to tackle before.
 Source: https://www.oracle.com/big-data/guide/what-is-big-
data.html
BIG DATA
 What might we do with big data to
improve assessment and feedback
processes?
 What are the ethical implications when it
comes to schools?
 What new innovations might be needed?
 How can we improve computer-assisted
instruction?
3dman clip art: https://pixabay.com/en/users/3dman_eu-1553824/
Big Data:
https://ar.m.wikipedia.org/wiki/%D9%85%D9%84%D9%81:DARPA_Big_Data.jpg
REFERENCES
Hattie, J. & Timperley, H. (2007). The power of feedback.
Review of Educational Research, 77(1), 81-112, 2007. DOI:
10.3102/003465430298487.
Wolsey, T. D. & Bostick, P. (2008). The C in ICT: Communication
at the heart of literacy learning. The California Reader,
41(2), 33-39.

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Exploring Digital Assessments: How Teachers Improve Learning Outcomes

  • 1. EXPLORING DIGITAL ASSESSMENTS: HOW TEACHERS IMPROVE LEARNING OUTCOMES Dr. Thomas DeVere Wolsey Graduate School of Education, The American University in Cairo EduForum 2018 https://tinyurl.com/TDWolsey
  • 3. 3 TYPES OF FORMATIVE ASSESSMENT
  • 4. 3 TYPES OF FORMATIVE ASSESSMENT
  • 5. 3 TYPES OF FORMATIVE ASSESSMENT
  • 6. LET’S GO TO CLASS classroom.google.com
  • 7. FEEDBACK Feedback Matrix Purposes Types Qualities • Feed back (How am I going?) • Feed up (Where am I going?) • Feed forward (where to next?) Affirmations Clarifications about confusing points Observations about the work Corrections: content Corrections: mechanics, usage, spelling, style, etc. Questions Exploratory Personal Identified positive aspects of the work Explains rather than labels Perceptive Corrective Compassionate Useful Timely Linked to specific criteria Expands or elaborates on key ideas
  • 8. FEEDBACK Teachers can help students use feedback. Teach them  Not to be afraid of feedback  A note about scores and marks  Listen and read the feedback carefully  Feed forward what you learned to the next assignment
  • 9. RUBRICS Rubrics online Teachnology offers rubrics at: http://www.teach- nology.com/web_tools/rubrics/ but you’ll need to register. Rubistar, a project of ALTEC, has a useful rubric generator available at: http://rubistar.4teachers.org/index.php Google add-in by dostuffgood.org Create and send customizable rubrics and scores to students by email for any assignment. https://chrome.google.com/webstore/detail/online- rubric/fiiglmgmcodoglllnbfebbhkfidikfbo?utm_source=permalink
  • 10. BIG DATA  Here’s Gartner’s definition, circa 2001 (which is still the go-to definition): Big data is data that contains greater variety arriving in increasing volumes and with ever-higher velocity. This is known as the three Vs.  Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.  Source: https://www.oracle.com/big-data/guide/what-is-big- data.html
  • 11. BIG DATA  What might we do with big data to improve assessment and feedback processes?  What are the ethical implications when it comes to schools?  What new innovations might be needed?  How can we improve computer-assisted instruction?
  • 12. 3dman clip art: https://pixabay.com/en/users/3dman_eu-1553824/ Big Data: https://ar.m.wikipedia.org/wiki/%D9%85%D9%84%D9%81:DARPA_Big_Data.jpg REFERENCES Hattie, J. & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81-112, 2007. DOI: 10.3102/003465430298487. Wolsey, T. D. & Bostick, P. (2008). The C in ICT: Communication at the heart of literacy learning. The California Reader, 41(2), 33-39.

Editor's Notes

  1. And spaces after a period.
  2. And spaces after a period.
  3. Rubrics have become very popular over the last few years. There are limitations, though. How does one make a rubric, literally asking students to think inside the rubric box, that measures innovation and creativity?