Personalizing college mathematics with technology
Bibliographic Data
| ID | 21743984 |
|---|---|
| Authors | Lauretta Garrett (Tuskegee University, corresponding author), Kelly Guest (Tuskegee University), David Shannon (0000-0002-0272-7970, Auburn University), Byunghoon Lee (0000-0002-8686-1535, Tuskegee University), Li Huang (0000-0001-5365-7899, Tuskegee University), Maria Calhoun Charleton (Tuskegee University), M Calhoun (0009-0007-8168-0763, Tuskegee University), Mohammed Qazi (Tuskegee University), Mohammed A Qazi (Tuskegee University), Youngsoo Kim (0000-0001-8156-3734, Tuskegee University) |
| Year | 2020 |
| Volume | 52 |
| Issue | 3 |
| Pages | 403-428 |
| Publication date | 2020-07-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Research on Technology in Education (JOURNAL) |
| Journal identifiers | ISSN: 1539-1523 • E-ISSN: 1945-0818 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/15391523.2020.1734507 |
| OpenAlex | W3035824765 |
| Language | EN |
| References cited | 16 |
This study investigated personalization as an innovation that can be used to impact college mathematics achievement. In the reported study, similar tasks using personalized data and teacher-selected data were implemented in courses in both 4-year and 2-year colleges. Pre- and posttests and student work were analyzed to examine the impact of personalization on student understanding. Our findings provide insight into how the use of the technology can influence students’ thinking and ability to connect with and use personally authentic data
Educational technology · Mathematics education · Personalization · World Wide Web · Computer Science · Innovative Teaching and Learning Methods · Intelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics · Psychology
| Citation velocity | historical |
|---|---|
| Highly cited | No |