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The Threshold Concept: helping students towards mastery

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The Threshold Concept: helping students towards mastery Sarah Drummond & Stephan Jamieson CETL Active Learning in Computing (ALiC) Department of Computer Science – PowerPoint PPT presentation

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Title: The Threshold Concept: helping students towards mastery


1
The Threshold Concept helping students towards
mastery
  • Sarah Drummond Stephan Jamieson
  • CETL Active Learning in Computing (ALiC)
  • Department of Computer Science
  • Durham University

2
Content
  • Outline of the programming module
  • The Threshold Concept
  • Data collection methods
  • Analysis of results
  • Conclusions
  • Where do we go from here?

3
Teaching Java at Durham
  • Cohort Level 1
  • Compulsory for CS students
  • Elective module for all other students
  • . therefore varying background of knowledge
  • and prior experiences
  • 3 terms teaching 34hrs of lectures 34hrs of
    labs
  • Objects first approach using BlueJ
  • Semi-structured work blocks plus supporting and
    additional material
  • Assessment via bench tests (2), unseen written
    exam

4
The Threshold Concept
  • A threshold concept can be considered as akin
    to a portal opening up a new and previously
    inaccessible way of thinking about something. It
    represents a transformed way of understanding, or
    interpreting or viewing something without which
    the learner cannot progress.
  • Meyer Land 2002

5
Possible factors in achieving mastery
Learning History
Prior Knowledge
Subject Specific
Conceptions of learning
Learning outcome mastery
6
Data Collection Methods used
  • Questionnaires
  • Student individual learning logs
  • Individual interviews

7
Analysis of results overview
  • Programmers, Naturals, Copers, Stugglers,Jenkins
    2001
  • Evidence of building on weak foundations
  • Threshold concept a troublesome concept
  • Other thresholds learning approach and context

8
Analysis of results the interviews
  • Interview factors
  • Semi structured
  • Time constraints
  • Focus on 3 strugglers
  • Indications of use of surface approach
  • Indications of contextual factors
  • Indications in 2 cases of change of approach

9
Analysis of results approach
  • Aim of practical work get it done and try to
    understand it but mainly finish it
  • Workload No I think it usually is as bad as it
    seems, in the most negative way possible
  • Learning activity when I actually do
    programming I make pages and pages of notes
  • Tackling a problem going backfinding similar
    exercises that weve done earlierand trying to
    use bits of thatif there isnt one, get stuck

10
Analysis of results context
  • Conflicting demands/attractions
  • Prior learning experiences
  • In all the learning I did at school it would
    have been beneficial if Id understood things but
    I glossed through it
  • So I pick it up, I read through part of it, then
    put it to one sideand try to write down every
    thing I know on it
  • Learning environment

11
Analysis of results change
  • You cant just think right, Ill learn that in
    this line I put so and so equals so and so and
    put a semi-colon. You have to know why youre
    doing it.
  • You have to understand it or you cant get past
    a certain level
  • Ive never tried to do something and not be able
    to do it.
  • Part of me thought oh god, I really want to do
    this

12
Analysis of results change
  • Thought maybe I should stop writing things down
    and just try to do it
  • Printed outa lot of programsgot a highlighter
    pen and went throughand compared themand said
    right so this is something you do every time but
    this is something that changesand I was like
    right well wheres the bit in the program which
    defines whether its doing that
  • I didnt do any other work that week I just did
    Java

13
Conclusions
  • Complex picture. Basic concept of software
    object and/or the mechanism of class declaration
    may be a threshold.
  • Suggestion of other thresholds
  • Motivation
  • Conception of understanding in the context of
    programming
  • A skill set that includes deep learning
    techniques

14
What's next?
  • Keep chewing
  • Modify the learning environment
  • Assist students with their motivation?
  • Assist with conception of learning programming?
  • Help extend learning skill set?
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