| Title: |
Personalized Education through Individualized Pathways and Resources to Adaptive Control Theory-Inspired Scientific Education (iPRACTISE): Proof-of-Concept Studies for Designing and Evaluating Personalized Education |
| Language: |
English |
| Authors: |
Sy-Miin Chow (ORCID 0000-0003-1938-027X); Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl |
| Source: |
Journal of Statistics and Data Science Education. 2024 32(2):174-187. |
| Availability: |
Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: |
Y |
| Page Count: |
14 |
| Publication Date: |
2024 |
| Document Type: |
Journal Articles; Reports - Descriptive |
| Education Level: |
Higher Education; Postsecondary Education |
| Descriptors: |
Individualized Instruction; Instructional Design; Science Education; Higher Education; Statistics Education; Mathematics Education; Data Science; Computer Oriented Programs; Computer Assisted Testing; Training; Supplementary Education; Program Effectiveness; Algorithms; Preferences |
| DOI: |
10.1080/26939169.2024.2302181 |
| ISSN: |
2693-9169 |
| Abstract: |
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden on the institutions and instructors to provide personalized training resources to large groups of students is also formidable, and often unsustainable. We present Individualized Pathways and Resources to Adaptive Control Theory-Inspired Scientific Education (iPRACTISE), a free, publicly available web app that serves as a tool to facilitate personalized trainings on SMDS and related topics through provision of personalized training recommendations as informed by computerized assessments and individuals' training preferences. We describe the resources available in iPRACTISE, and some proof-of-concept evaluation results from deploying iPRACTISE to supplement in-person and online classroom teaching in real-life settings. Strengths, practical difficulties, and potentials for future applications of iPRACTISE to crowdsource and sustain personalized SMDS education are discussed. |
| Abstractor: |
As Provided |
| Entry Date: |
2024 |
| Accession Number: |
EJ1418490 |
| Database: |
ERIC |