How Promising is Each Technology for Improving the Quality of Undergraduate Student Learning?

Publication Year: 
2015
Settings: 
Category of Information: 
Sample size: 
n=110
Sample description: 

a select group of higher education administrators and experts, consists of 110 members with diverse backgrounds and perspectives

Graphs: 

Content: 

Fifty-six percent of respondents gave adaptive learning technologies one of the top two ratings, and it received significantly higher ratings than the other initiatives (p<.01). On the other hand, digital game-based learning was rated as the least promising (p<.01).

Notes: 

The numbers are mean and SD.

1 = “Not at all promising”; 7 = “Extremely promising”

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