| Popis: |
Implementation intentions (Gollwitzer, 1999) are an effective self-regulation strategy that foster goal achievement. Implementation intentions are if-then plans that – in order to work - need to be recalled when the situation to act on the plan arises. Thus, good encoding of the implementation intention is a necessary prerequisite for its effectiveness. To find an effective encoding mode for implementation intentions is particularly important in non-laboratory settings when people need to remember their plans despite being distracted by their daily-life activities. Further, educational technologies could prompt people to memorize a different implementation intention each day depending on the particular goals and obstacles that users are likely to encounter on that day. Such an application, thus, needs to be user-friendly on top of aiding memory for the plan. We will test the effects of different encoding modes for implementation intentions on delayed recall performance. The encoding modes are derived from the ICAP model (Chi & Wylie, 2014), which describes different ways in which learners can engage with information. We compare a passive (reading the implementation intention), an active (repeating the implementation intention with a word puzzle), and a constructive encoding mode (representing the implementation intention with emojis). |
