Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Review Help
Towards a validated self-efficacy scale for data management
Wu W.  SIGCSE 2023 Toronto, Canada, Mar 15-18, 2023)186-192.2023.Type:Proceedings
Date Reviewed: Aug 23 2023

I found this paper to be a challenging read as it required me to learn some new concepts. I still don’t have a full understanding of the topic, but I appreciate the author’s goals and approach. If I’d been reviewing a draft of this paper, I would have requested some additional references to introduce the topic, but I’m sure the vast majority of readers won’t be in the same position.

The aim of the paper is to describe methods of developing and measuring self-efficacy skills (defined by the author as the ability to learn and problem solve on one’s own) for data management; as I mentor and work with students and new data analysts, I really appreciate the work that Wu has done to ensure students have a solid understanding of this often forgotten topic. Wu discusses how areas such as handling different data formats (JSON, XML, and so on), database technologies (NoSQL, SQL), and newer technologies like cloud services, virtual machines, and so on, are all key components that someone dealing with data should understand and be comfortable with.

In the end, Wu’s paper outlines the self-efficacy scale’s effectiveness; confirms that it’s validated through exploratory factor analysis; and demonstrates its usefulness through various analyses. Wu also covers the additional directions that the work will be going in, including investigations into why females have “higher self-efficacy than males on the depth of data management knowledge” (p. 191). I think this paper would be an interesting read for students in computer science and related areas to see what skills they may need, but I think the bigger impact would be for those who teach these students--whether in high school, college, or university--to see where they may want to shift the focus of their coursework.

Reviewer:  Christopher Battiston Review #: CR147635 (2310-0129)
Bookmark and Share
  Editor Recommended
General (H.2.0 )
Would you recommend this review?
Other reviews under "General": Date
Design of the Mneme persistent object store
Moss J. ACM Transactions on Information Systems 8(2): 103-139, 2001. Type: Article
Jul 1 1991
Database management systems
Gorman M., QED Information Sciences, Inc., Wellesley, MA, 1991. Type: Book (9780894353239)
Dec 1 1991
Database management (3rd ed.)
McFadden F., Hoffer J., Benjamin-Cummings Publ. Co., Inc., Redwood City, CA, 1991. Type: Book (9780805360400)
Jun 1 1992

E-Mail This Printer-Friendly
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright 1999-2023 ThinkLoud®
Terms of Use
| Privacy Policy