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Returning Feedback to Students via Email Using Electronic Feedback 9 Phil Denton
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Philip Denton
School of Pharmacy and Chemistry, Liverpool JMU
Returning Feedback to Students via Email Using Electronic Feedback 9
The software discussed in this article is available for free download
at http://cwis.livjm.ac.uk/cis/download/xlfeedback/welcome.htm
Alternatively, please email the author to receive the program as an attachment.
Abstract
Electronic Feedback is an MS Office marking assistant that has been developed
at Liverpool John Moores University over the last 3 years. The software
enables assessors to readily generate and return feedback to students,
in the form of MS Word processed reports and email messages. Research
indicates that the previous version of the software was used by 22 UK
academics across a range of disciplines. They agreed that the program
enabled them to return more feedback, of higher quality, in a shorter
space of time. The latest software, Electronic Feedback 9, is considered
to be more user-friendly and incorporates a novel collusion detection
facility. The operation of this program is described in this article.
Introduction
As the Computer Assisted Assessment (CAA) unit at Loughborough University
have noted, computerised testing can ease difficulties associated with
large class sizes and diverse student capabilities (1). They comment that,
“CAA is essentially automated assessment through objective testing.”
Although the terms CAA and objective testing are often used interchangeably,
electronically aided assessment has a much broader scope and a more comprehensive
description of CAA would include:
- Objective Testing
This could be multiple choice or text match type questions, delivered
via the Web.
- Electronic Submission
At a simple level, this could be students presenting work to their tutor
via email. Furthermore, some Virtual Learning Environments (VLEs) can
support threaded discussions that enable students to contribute to an
on-line debate.
- Free Text Analysis
There is a range of plagiarism detection tools that can be used to check
for similarities between electronic text files. Some programs use search
engine technology to look for matching text on the Web (2). Software
capable of automatically grading free text is available (3), but is
still in development and is not suited to high stakes assessment at
present.
- Marking Assistants
Packages that can aid in the computation of student marks are used regularly
by academic staff, e.g. MS Excel. Advanced marking assistants can generate
written reports (4).
As Brown (5) and Gibbs (6) have discussed, returning feedback to students
on their work plays an important role in the learning process. Accordingly,
providing undergraduates with comprehensive and timely information on
their progress is considered to be one of the fundamental responsibilities
of a HE tutor (7). Although electronic marking assistants have the potential
to improve the return of feedback to students, they are not used routinely
by academic staff. This is perhaps surprising, given that a recent summary
of HE inspection reports concluded that UK Universities do not supply
students with sufficient information on their academic development (8).
Electronic Feedback (9,10) is an MS Office marking assistant, developed
at Liverpool JMU over the last three years. The program enables tutors
to readily generate MS Word processed feedback reports that may be automatically
emailed to individual students as messages or attachments. Previous research
indicates this method is viewed positively by students (9). Version 8
of the program was used by 22 lecturers across a range of academic disciplines
during the academic year 2001/2002. Results of a recent emailed questionnaire
(average Likert scale responses, 1 = strongly agree, 5 = strongly disagree)
indicated that tutors agree that by using the software there were able
to return more feedback (2.1), of higher quality (1.6), in a shorter space
of time (2.1). Tutors were neutral, however, as to whether their colleagues
could use the program without formal training (2.9). To remedy this, the
program has been rewritten from scratch, with new features included to
ensure a more user-friendly interface. Version 9 of the program was released
in July 2002 and its operation will now be considered.
Method
Electronic Feedback 9 consists of three files:
- Feedback9.xls, an Excel file into which data relating to a particular
assessed is inputted.
- Guide9.xls, an interactive guide to the software. Users can navigate
through this workbook using a pair of drop-down picking lists that show
the contents of the guide.
- Fb9.doc, a Word document that automatically formats and emails feedback
reports.
When ready to use the software, the tutor opens Feedback9.xls. This file
is composed of a number of sheets, accessible from a main menu, Figure
1. After configuring the software so that it is appropriate for their
personal and institutional use, tutors input data relating to particular
assessment event into these sheets, following the route indicated by the
arrows on the Main Menu sheet. When this procedure is complete, tutors
can use the software to create, email and print feedback reports.

Figure 1 Main menu of Electronic Feedback 9
The system allows the following raw data to be inputted:
- Student Details
This is a list of student names and email address. Registration numbers
and salutations may also be entered, the default salutation being the
student’s first name. During configuration of the software, it
is possible to organise this sheet so that it matches the format preferred
by the user’s institution. In this way, existing electronic data
can be copied and directly pasted into the program.
- Grade Comments
These are feedback statements activated by the student’s overall
% mark, e.g. “First class work” for all students attaining
70% or above.
- General Comments
These are included on all feedback reports generated by the software.
Three separate general comments can be entered; top, middle, and bottom,
these designations indicating their position on the report.
- Personal Comments
This is a feedback statement for an individual student.
- Standard Comments
These are those remarks that are anticipated to be required repeatedly
during marking. They can be written in advance, or gradually composed
as marking proceeds. Standard comments can be entered as a list, ‘normal
mode’, or organised under discrete headings, ‘criterion
mode’. This latter arrangement is of particular use when marking
essays. In either mode, each standard comment is assigned a unique reference
number. Some users may prefer to annotate the student’s work with
these numbers, so that students can see exactly where the tutor would
want a particular comment to appear.
Comments may include the special character ~, which is automatically
replaced with the student’s salutation when feedback is created.
In this way, it is possible to personalise even standard and general comments.
Other special characters, , ^, { and }, allow tab-spaces, line breaks,
superscripts and subscripts to be incorporated into feedback remarks.
It is recognised that the inputting of raw data is the most time consuming
aspect of using the software, although Version 9 has a new facility that
can make this process less onerous. It is possible to save standard, grade,
and general comments, and student details in separate files, using the
export procedure. The data in these files may then be readily retrieved
using the import facility. This is useful feature when the same assignment,
e.g. a laboratory exercise, is set year after year. In such cases, last
year’s standard comments can be imported and used again. Work is
currently underway to create a dedicated website where users of the software
would be able to upload exported files of standard comments, for download
and import by other users.
The software has a number of additional features that give the Electronic
Feedback method the edge over traditional ‘red pen’ marking:
- Allocate Comments
This is an interface that allows tutors to rapidly assign the standard
comments to individual students. After selecting the student to be considered,
tutors input the reference numbers of the standard comments they would
wish to award that class member. Alternatively, the user can select
the statement itself from a drop-down picking list. This latter approach
has the advantage in that the tutor is not required to memorise the
reference numbers.
- Automark
Instead of entering student scores manually, % marks can be calculated
automatically by activating the Automark feature. In this way, a student’s
final mark is determined by the feedback statements allocated to them.
In criterion mode, for example, it is possible to assign percentage
weightings to individual criteria, e.g. introduction, and use these
to determine the final mark.
- Allocation Statistics
This sheet gives the tutor an idea of how the standard comments have
been allocated across the group. It may reveal, for example, that a
particular feedback statement was allocated to a large proportion of
the class. This information is of clear value to the assessor. It can,
for example, be used to inform future teaching strategies by directing
the tutor’s attention to those aspects of an assignment that caused
the greatest difficulty.
- Allocation Check
This feature allows tutors to check for pairs of students allocated
similar standard comments. Once two students who match the search criteria
are found, their original scripts can be inspected to confirm if any
similarities are coincidental or suspicious. Initial work has indicated
that this approach can be used to detect plagiarism (11), even in hand
written scripts marked a few days apart.
When all standard comments have been allocated, and personal comments
have been inputted, the user may generate feedback reports. The options
sheet allows the user to control their appearance. Thus, the tutor can
select to hide or show the standard comment reference numbers, for example.
Users may also decide to incorporate the allocation statistics on the
feedback reports. The create feedback button on the main menu activates
a dialogue box that gives the tutor the option to generate, print and
email the feedback reports for all students awarded a mark, allocated
a standard comment, or assigned a personal comment. If they prefer, tutors
can first generate the reports, view them within MS Word to confirm they
are acceptable, before emailing. Emails can be sent either as an attachment
or as a message and users can input their preferred subject line. If emails
are sent as a message, any URLs contained within the feedback will be
‘clickable’.
In principle, it is possible to configure virtual learning environments,
such as WebCT, to automatically extract information from files created
using Electronic Feedback. In this way, student names and marks can be
rapidly uploaded and added to institutional records.
Results
A specimen feedback sheet produced in criterion mode is shown, Figure
2. The report also includes the allocation statistics.
Dr. Phil Denton
PACCH1010 Alchemy Essay
BENSON, IAN PATRICK <56346474>
46% (Average: 57%)
Third Class.
Ian, this was below your usual high standard. Did you have sufficient
time to complete this work, in light of recent events?
I have marked your work out of the following criteria, and the weightings
of each criterion are shown. After each comment, Ian, you will find
your performance in that criterion (/100), along with the highest
(H), average (A) and lowest (L) student performances in that criterion.
Introduction (Weighting 20%)
I felt that this defined the subject of your essay quite clearly
and went some way to establishing the scope of your study. 50/100
(H: 50, A: 28, L: 4).
Demonstrates Understanding (Weighting 20%)
Your work demonstrates a satisfactory level of understanding, although
I would have preferred your work to have relied a little less heavily
on your information sources. Remember, Ian, it is important that
you add your own interpretation to the material that you present.
40/100 (H: 82, A: 53, L: 36).
Shows Originality (Weighting 20%)
This essay displayed a good level of originality. 50/100 (H: 50,
A: 46, L: 44).
Conclusion (Weighting 20%)
Your conclusion satisfactorily summarised your work, but did little
to present your point of view. 40/100 (H: 76, A: 56, L: 40).
References (Weighting 20%)
Your list of references is good, Ian, although I would have preferred
you to have used endnotes throughout your text so that I can clearly
see where you got your information from. 50/100 (H: 60, A: 56, L:
50).
Overall, I was impressed by the standard of work submitted by the
group. Many of you are still failing to present references appropriately,
however. Ian, I would recommend that you, and the entire class,
reread the section on essay writing in the module handbook. |
Figure 2 Example Feedback Report Produced in Criterion
Mode.
Conclusions
The software has been found to run smoothly and without major difficulty
on Office 97 and 2000. Recent refinements (Version 9.3) mean that the
software also works on Office XP. The automatic activation of MS Word
from MS Excel runs more smoothly in Version 9 than in previous versions.
Moreover, Feedback 9 files take up significantly less file space.
It is considered that Version 9 is far more user-friendly than Version
8. The previous software evolved over 2 years, with additional features
being ‘bolted-on’ to the original template. This developmental
process did not lend itself to user-friendly design! Version 9 makes extensive
use of drop-down picking lists. These clearly indicate the restrictions
on data entry, where these apply, and facilitate rapid data entry.
The principle of checking feedback for similarities can be used as a
means to identify those students who have colluded on their assignments,
although further research is required to establish the scope of this approach.
Indeed, it is the intention of the author to survey existing users of
the software in May/June 2003 to ascertain overall impressions of this
new program. Informal feedback, however, gathered during a series of recent
presentations to UK University staff, indicate that staff are enthusiastic
about Electronic Feedback 9.
Further Information
The software is available for free download at http://cwis.livjm.ac.uk/cis/download/xlfeedback/welcome.htm
Alternatively, please email the author to receive the program as an attachment.
Acknowledgements
This work has been supported by a Liverpool JMU Teaching-Related Research
Awarded.
References
(1) http://www.lboro.ac.uk/service/ltd/flicaa/why_caa.html
(2) Bull J, Coughlin E, Collins C and Sharp D, Technical Review of
Plagiarism Detection Software Report [online], Joint Information Systems
Committee (2001). Available from http://www.jisc.ac.uk/pub01/luton.pdf
(3) Mason O, and Grove-Stephenson I, Automated Free Text Marking With
Paperless School, Proceedings of the 6th International Computer Aided
Assessment Conference (2002) pp213-219. Available online via: http://www.caaconference.com/
(4) For a summary of available packages see:
http://www-staff.lboro.ac.uk/%7Elsdps/index.html
(5) Brown G, Bull J and Pendlebury, Assessing Student Learning in
Higher Education (1997) p 7, Routledge, London
(6) Gibbs G, Improving the Quality of Student Learning (1992),
p 17, Technical and Educational Services, Bristol
(7) For example, see the ‘Competency Framework for Effective
Teaching’ devised by the Murdoch University, Perth, Australia,
at http://wwwadmin.murdoch.edu.au/planning/docs/acfet/index.html#et4.
(8) http://www.guardian.co.uk/Archive/Article/0,4273,4150416,00.html.
(9) Denton P, Generating Coursework Feedback for Large Groups of Students
Using MS Excel and MS Word, U. Chem. Ed. 5 (2001) pp1-8. Available
online at:
http://www.rsc.org/pdf/uchemed/papers/2001/p1_denton.pdf
(10) Denton P, Generating and e-Mailing Feedback to Students Using MS
Office, Proceedings of the. 5th International Computer Aided Assessment
Conference (2001) pp157-173. Available online via: http://www.caaconference.com/
(11) Denton P, Detection of Plagiarism in Students' Written Work Using
a Novel Electronic Marking Assistant, Proceedings of the International
Conference on ICTs in Education (2002) pp 445-449.
Philip Denton
School of Pharmacy and Chemistry
Liverpool John Moores University
Liverpool L3 3AF
p.denton@livjm.ac.uk
February 2003
ISSN 1477-1241
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