Author
Abstract
Background Against the backdrop of the cognitive-motivational process model proposed by Vollmeyer and Rheinberg (1998) , this study investigates how the personality trait need for cognition in combination with a specific situation (short and long version of a live-action simulation game ) , current motivation, and immersion and flow (mediators ) predict the learning outcome in the simulation game EVERYDAY LIFE IN THE CLASSROOM ( Starker & Imhof, 2014 ). Methods N = 138 teacher students played the short 2-hour version of the simulation game, and N = 77 played the long 2-day version. Need for cognition, current motivation, immersion, flow, and learning outcome were measured by self-report questionnaires. Results A hierarchical regression analysis was used to determine the impact of the predictor variables (need for cognition, current motivation, immersion, and flow) on the self-evaluated learning outcome. For the 2-hour group, the predictor variables interest, challenge, and immersion (subscale: engagement ) impacted self-reported learning outcome significantly positive. For the 2-day group, significant predictors were need for cognition, interest, and immersion (subscale: engrossment ). In comparison of the two game versions, students playing the 2-day version reported significantly higher levels of engagement, engrossment, and learning outcome. Conclusion The cognitive-motivational process model of learning was partly supported: interest and immersion predict learning outcome in the live-action simulation game. The extended 2-day version of the game leads to higher levels of immersion and higher learning outcome, indicating that a longer timeframe secures the desired effects on learning outcome from simulation games. Further research needs to shed light on the interaction of personality traits and immersion.
Suggested Citation
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:simgam:v:52:y:2021:i:6:p:775-795. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.