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H.C. Davis

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describe some of the attempts we have made to solve this problem ... Create a simple spirograph drawing applet. Enhance it for a particular application ... – PowerPoint PPT presentation

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Title: H.C. Davis


1

Approaches to Dealing with Diversity in
Introductory Programming
  • H.C. Davis
  • IAM Learning TechnologiesElectronics and
    Computer ScienceThe University of Southampton,
    UK
  • hcd_at_ecs.soton.ac.uk
  • http//www.ecs.soton.ac.uk/hcd
  • with assistance from
  • Christopher Gutteridge
  • Help Desk Co-ordinator

2
This talk
  • Im going to
  • convince you that there is a problem
  • describe some of the attempts we have made to
    solve this problem
  • evaluate the success of these solutions

3
Question 1
  • Do you differentiate your teaching of
    introductory programming for students of
    different abilities/experience?
  • YES we formally recognise at least three groups
    (advanced, normal, novice)
  • YES we formally provide extra assistance for
    novices
  • YES but only informally, e.g. by spending more
    time in labs with those who need it
  • NO all students get the same treatment

4
Our Surveys
  • 50 intake have A level Computing
  • 25 have Programming skills and experience beyond
    that required for A level
  • 25 have no programming experience
  • (This is fairly typical of many universities)

5
Consequences
  • Beginners find pace too fast
  • Experienced find pace too slow
  • Beginners intimidated by know-alls
  • Students at both ends of the initial ability
    range express unambiguous dissatisfaction
  • Students progress through degree unable to code
  • And we are not intending to harmonize entry
    requirements (e.g. A level Computing)

6
Approaches Already Tried
  • Schools regularly use differentiated learning
  • Universities have typically not felt it important
    as students have similar points scores on entry
  • In CS we have tried approaches to level the
    playing field
  • Structured Programming (Pascal)
  • Language Independent approaches a la Bornat
  • Functional languages (SML, Miranda, Scheme)
  • But OO is currently increasing the divide

7
Approaches to dealing with the already skilled
programmers
  • Based on a paper by Jenkins (in which he
    describes Rocket Scientists)
  • The principle is that once you have learned one
    or two languages learning another is easily done
    self paced
  • It is the programming and OO principles you need
    them to concentrate on.

8
Differentiated Approach
  • At Southampton students group themselves
    following an Initial Skills Survey
  • Space Cadets
  • Strugglers
  • The Rest
  • Course covered in 3 lectures per week
  • not compulsory for space cadets
  • Extra lecture split into two
  • motivational lecture for space cadets
  • Revision / Tutorial for strugglers
  • The rest need not attend
  • Space Cadets need not attend labs log books
  • Space Cadets do standard courseworks plus other
    challenges

9
Challenging the Space Cadets(1) Making things
more difficult
  • Initially we gave them similar tasks to the rest
  • Just used more interesting examples
  • reading a string from a text file
  • became
  • turning an email id into a persons name (by
    using the departmental info web page)

10
Challenging the Space Cadets(2)Going beyond the
syallabus
  • After the introduction to applets
  • Write a freehand drawing applet
  • Just use your imagination to make as interesting
    drawing facilities as possible with as little
    programming as possible.
  • A Student solution

11
Challenging the Space Cadets(3)Getting the
students to reflect
  • Get Students to reflect
  • Create a simple spirograph drawing applet
  • Enhance it for a particular application
  • Assess each others work

12
Challenging the Space Cadets(4)Making it fun (or
toys for the boys?)
  • Robocode (IBM framework for building robots)

13
Assisting strugglers (1)- make lectures active
and relevant
  • Concentrate on active teaching techniques
  • Keep going back to basics
  • Typically strip the current coursework down to
    the essential fundamental task and get them to
    solve it in groups in class.
  • Very interactive question and answer sessions.
  • Ensure that every student participates
  • Code solutions in class (compile every line!)

14
Question 1
  • In the average large lecture, which do you think
    is nearest the truth?
  • 100 of students concentrate 100 of time
  • 75 of students concentrate 75 of time
  • 50 of students concentrate 75 of time
  • 50 of students concentrate 50 of time
  • 25 of students concentrate 50 of time
  • Worse than that

15
Assisting strugglers (2)- ensure its all on the
web
  • Course notes
  • Labs
  • Assignments
  • Past exams and solutions
  • Multiple choice quizzes
  • Step by step coding examples
  • Local Newsgroup for questions
  • FAQ
  • Coursemaster style programming exercises
  • Pointers to on-line tutorials, books etc.

16
Assisting the strugglers (3)- help systems
  • Teaching assistant as tutor should mark assist
    at labs and mark courseworks
  • Some Universities appoint other students as
    happy helpers
  • 10 hours a day Helpdesk
  • Local Newsgroup/Forum for questions (staff have
    editing rights)
  • Buddying

17
Assisting the strugglers (4)- careful design of
courseworks and labs
  • We found students did not relate to the problems
    we set we employed a recent student to help us
    choose the courseworks
  • Careful staging of the courseworks to make clear
    what is required to pass (to demonstrate required
    learning outcomes)
  • (Encourage strugglers not to attempt advanced/
    open ended parts intended for space cadets).

18
Question 2
  • What percentage of your students do you think
    include some code that they have cut and pasted
    from another student?
  • Greater than 75
  • 50 - 74
  • 25 - 49
  • 10 - 24
  • Less than 10
  • Our students would never do that

19
Assisting the strugglers (5)- stamp out
plagiarism
  • Recent studies (Culwin 2001) show plagiarism is
    usually much worse than staff assume
  • Preventing plagiarism forces students to engage
    with the problem
  • - but we may not wish to stop them working in
    teams / buddying.

20
Evaluating the Results
  • At Southampton we measure the effectiveness of
    our approach in three ways
  • Correlating initial confidence with final results
  • Student feedback
  • Measuring change in initial confidence on next
    semester Advanced Programming Course

21
Student Confidence at start of Advanced
Programming course
How Confident are you about Java Programming?
22
Reflections space cadets
  • Buy-in less than ideal
  • No marks awarded for these activities
  • Interesting problems require TIME
  • Interesting programs are difficult to explain
  • Students frequently out-program lecturer
  • a recognition of this is important for many!
  • Good feedback from students
  • Some students slipped through the gap between
    being space cadets and the rest learned
    programming but not principles.

23
Reflections - strugglers
  • Dont call them strugglers!
  • The problems are to get them to
  • write any program (time on task)
  • join in the community of learning (so they get
    the right help)
  • understand how to learn in lectures (active
    learning)
  • realise that this may be hard and need work (many
    have a culture of strategic study which may not
    work here)
  • Students on with-CS courses do not have the
    same buy-in, and sometimes fail to join the
    community of learning
  • Exams should be hands-on
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