Gove Allen
Biographic Data
| ID | 9976838 |
|---|---|
| NAME | Gove Allen |
| GIVEN NAMES | Gove |
| FAMILY NAME | Allen |
| SIGNATURE | ALLEN G |
| AFFILIATIONS | Information Systems, Brigham Young University, Provo, UT 84602, USA |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom
Analyzing the learning analytics from a course provides insights that can impact instructional design decisions. This study used educational data mining techniques, specifically a longitudinal k-means cluster analysis, to identify the strategies students used when completing the online portion of an online flipped spreadsheet course. An analysis of these results showed that students did tend to follow a specific learning strategy as they complete…
Computer Ethics
Computer ethics is a term used broadly to refer to issues surrounding computer use where appropriate behavior may be unclear. These issues are increased when computers are part of an interconnected information systems. Areas of prominence in computer ethics include privacy, copyright, appropriate use of shared resources, misappropriation, cyberloafing, malware, and others. Additionally, more traditional ethical issues are considered a part of com…
No prominent works on this page.
Computer Ethics
Computer ethics is a term used broadly to refer to issues surrounding computer use where appropriate behavior may be unclear. These issues are increased when computers are part of an interconnected information systems. Areas of prominence in computer ethics include privacy, copyright, appropriate use of shared resources, misappropriation, cyberloafing, malware, and others. Additionally, more traditional ethical issues are considered a part of com…
Using Educational Data Mining to Identify and Analyze Student Learning Strategies in an Online Flipped Classroom
Analyzing the learning analytics from a course provides insights that can impact instructional design decisions. This study used educational data mining techniques, specifically a longitudinal k-means cluster analysis, to identify the strategies students used when completing the online portion of an online flipped spreadsheet course. An analysis of these results showed that students did tend to follow a specific learning strategy as they complete…
Computer Science (2 works) · Artificial Intelligence (1 works) · Computer ethics (1 works) · Computer forensics (1 works) · Computer security (1 works) · Data science (1 works) · Digital forensics (1 works) · Educational Data Mining (1 works) · Educational technology (1 works) · Engineering (1 works)