Evaluation of a Digital Learning Object for the Monty Hall Dilemma

2011 ◽  
Vol 38 (1) ◽  
pp. 53-59 ◽  
Author(s):  
David DiBattista
Author(s):  
Wim De Neys ◽  
Niki Verschueren

Abstract. The Monty Hall Dilemma (MHD) is an intriguing example of the discrepancy between people’s intuitions and normative reasoning. This study examines whether the notorious difficulty of the MHD is associated with limitations in working memory resources. Experiment 1 and 2 examined the link between MHD reasoning and working memory capacity. Experiment 3 tested the role of working memory experimentally by burdening the executive resources with a secondary task. Results showed that participants who solved the MHD correctly had a significantly higher working memory capacity than erroneous responders. Correct responding also decreased under secondary task load. Findings indicate that working memory capacity plays a key role in overcoming salient intuitions and selecting the correct switching response during MHD reasoning.


2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
John Fredieu ◽  
Jennifer Kerbo ◽  
Brendan Mulcahy ◽  
Carly Bartel ◽  
Maia Fedor‐Garcia ◽  
...  

Author(s):  
Julia Watzek ◽  
Will Whitham ◽  
David A. Washburn ◽  
Sarah F. Brosnan

The Monty Hall Dilemma (MHD) is a simple probability puzzle famous for its counterintuitive solution. Participants initially choose among three doors, one of which conceals a prize. A different door is opened and shown not to contain the prize. Participants are then asked whether they would like to stay with their original choice or switch to the other remaining door. Although switching doubles the chances of winning, people overwhelmingly choose to stay with their original choice. To assess how experience and the chance of winning affect decisions in the MHD, we used a comparative approach to test 264 college students, 24 capuchin monkeys, and 7 rhesus macaques on a nonverbal, computerized version of the game. Participants repeatedly experienced the outcome of their choices and we varied the chance of winning by changing the number of doors (three or eight). All species quickly and consistently switched doors, especially in the eight-door condition. After the computer task, we presented humans with the classic text version of the MHD to test whether they would generalize the successful switch strategy from the computer task. Instead, participants showed their characteristic tendency to stick with their pick, regardless of the number of doors. This disconnect between strategies in the classic version and a repeated nonverbal task with the same underlying probabilities may arise because they evoke different decision-making processes, such as explicit reasoning versus implicit learning.


Author(s):  
Tom Hapgood

This chapter discusses the reasoning behind the lack of the expected authoring of digital learning objects. It argues that the creation and dissemination of learning objects by university faculty have not occurred as a result of technical hurdles and frightening acronyms, lack of organizational procedures, unclear legal and ownership issues, and the ineffectiveness of “selling” the idea to faculty as part of the promotion and tenure process. The technology, interfaces and storage devices have been in place for some time, waiting for the learning object authors to publish their work. The Pachyderm 2.0 software is discussed as a tool for faculty to utilize. The author hopes that discussing and enumerating the obstacles to learning object authoring and dissemination, combined with the proposal of using the Pachyderm software along with a model of working with organizational information technology (IT) staff, will assist all involved in circulating successful digital learning objects.


2015 ◽  
Vol 112 ◽  
pp. 14-21 ◽  
Author(s):  
Jessica P. Stagner ◽  
Thomas R. Zentall

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