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Students’ intentions to use technology
in their learning: The effects of internal
and external conditions
Alexander Whitel...
Research Aims
• Individual differences in learning tool usage.
• Theory driven approach to understand intentions to use le...
Conditions of Learning
• External and internal conditions (Butler & Winne, 1995).
• Patterns of tool usage influenced by l...
Beliefs
• Usage of learning analytics services will vary across students.
• Beliefs are shaped by exposure to various sour...
Expectations
• Pre-trial beliefs correspond to expectations (Olson & Dover, 1979).
• Exposure/use of a service will discon...
Disconfirmation
Expectations
Service
Exposure
Perceptions Attitude
Intentions to
Continue
Using
Service
Fishbein (1967); O...
Current Issues
• Need to accommodate student expectations in learning analytics
policy development.
• Assurance of service...
Questionnaire Development
• Identifying themes within past literature (Ifenthaler & Schumacher,
2016; Sclater, 2016; West,...
Questionnaire Development (Contd.)
Expectations
Predictive Desired
Swan & Trawick (1980)
Questionnaire Development (Contd.)
Created 79
Items
Peer Review
Pilot Study
with 37 Items
Exploratory
Factor Analysis
Redi...
Pilot Study Results
• Instrument reduced to 19 items.
• Two factor solution for both scales:
• Service expectations:
o Des...
Pilot Study Results (Contd.)
Pilot Study Results (Contd.)
Pilot Study Results (Contd.)
Pilot Study Results (Contd.)
Pilot Study Results (Contd.)
Future Directions
• Develop the corresponding perceptions scale.
• Model intentions towards using learning analytics.
Atti...
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Students’ intentions to use technology in their learning: The effects of internal and external conditions

Learning analytics and knowledge doctoral consortium paper presentation.

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Students’ intentions to use technology in their learning: The effects of internal and external conditions

  1. 1. Students’ intentions to use technology in their learning: The effects of internal and external conditions Alexander Whitelock-Wainwright School of Psychology, University of Liverpool A.Wainwright@Liverpool.ac.uk
  2. 2. Research Aims • Individual differences in learning tool usage. • Theory driven approach to understand intentions to use learning analytics services.
  3. 3. Conditions of Learning • External and internal conditions (Butler & Winne, 1995). • Patterns of tool usage influenced by learner conditions (Lust, Collazo, Elen, & Clarebout, 2012).
  4. 4. Beliefs • Usage of learning analytics services will vary across students. • Beliefs are shaped by exposure to various sources of information (Fishbein, 1967).
  5. 5. Expectations • Pre-trial beliefs correspond to expectations (Olson & Dover, 1979). • Exposure/use of a service will disconfirm these expectations (Oliver, 1980).
  6. 6. Disconfirmation Expectations Service Exposure Perceptions Attitude Intentions to Continue Using Service Fishbein (1967); Oliver (1980)
  7. 7. Current Issues • Need to accommodate student expectations in learning analytics policy development. • Assurance of service quality. • Need an instrument to explore expectations.
  8. 8. Questionnaire Development • Identifying themes within past literature (Ifenthaler & Schumacher, 2016; Sclater, 2016; West, Heath, & Huijser, 2016): • Ethics and Privacy • Meaningfulness • Agency • Interventions
  9. 9. Questionnaire Development (Contd.) Expectations Predictive Desired Swan & Trawick (1980)
  10. 10. Questionnaire Development (Contd.) Created 79 Items Peer Review Pilot Study with 37 Items Exploratory Factor Analysis Redistribute the Questionnaire
  11. 11. Pilot Study Results • Instrument reduced to 19 items. • Two factor solution for both scales: • Service expectations: o Desires scale – 0.88 alpha. o Predictive scale – 0.88 alpha. • Ethical expectations: o Desires scale – 0.82 alpha. o Predictive scale – 0.86 alpha.
  12. 12. Pilot Study Results (Contd.)
  13. 13. Pilot Study Results (Contd.)
  14. 14. Pilot Study Results (Contd.)
  15. 15. Pilot Study Results (Contd.)
  16. 16. Pilot Study Results (Contd.)
  17. 17. Future Directions • Develop the corresponding perceptions scale. • Model intentions towards using learning analytics. Attitudes Social Norms Intentions to Use Learning Analytics Perceived Behavioural Control

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