Designing and Implementing an Undergraduate Data Analytics Program for Non-Traditional Students

Autor/in	Mew, Lionel
Titel	Designing and Implementing an Undergraduate Data Analytics Program for Non-Traditional Students
Quelle	In: Information Systems Education Journal, 18 (2020) 3, S.18-27 (10 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1545-679X
Schlagwörter	Program Design; Undergraduate Students; Nontraditional Students; Data Analysis; Program Implementation; Labor Force Development; STEM Education; Information Science; Adult Students; Job Skills; Skill Development; Curriculum Development; Professional Continuing Education; Mathematics Skills + Suchen Sie Ihr Suchwort? Programme design; Programmaufbau; Programmplanung; Auswertung; Arbeitskräftebestand; STEM; Informationswissenschaft; Adult; Adults; Student; Students; Erwachsenenalter; Studentin; Schüler; Schülerin; Produktive Fertigkeit; Kompetenzentwicklung; Qualifikationsentwicklung; Curriculum; Development; Curriculumentwicklung; Lehrplan; Entwicklung; Berufsfeldbezogener Unterricht; Weiterbildung; Mathmatics achievement; Mathematics ability; Mathematische Kompetenz
Abstract	This paper discusses Implementation of a new educational approach to develop competencies for the future STEM workforce, and to build knowledge on success factors for educating a non-traditional target population in data competencies. It is widely accepted that a data capable workforce is critical to science and industry. The literature suggests that the need for data science and data analytics competencies in industry and academia is accelerating at a rapid pace. At the same time, census and demographic data predict that the pool of traditional college age students will continue to decrease. To meet the increasing demand for a data capable workforce, it is essential to leverage the nontraditional student pool, reskilling and upskilling the current workforce, simply because the traditional student output is nowhere near sufficient to meet the need. The current work is to implement a new program designed to provide adult learners with bachelor's degrees and post baccalaureate certificates in Data Analytics. This results in upskilling or reskilling the existing workforce to add value to industry and academia. The program is differentiated from traditional programs by catering to non-traditional students through specific pedagogies such as incorporating required mathematics competencies into Data Analytics courses, using specific pedagogies proven to work with the non-traditional population, as well as removing constraints by offering evening courses, easing registration obstacles, etc. The paper suggests a proposed curriculum, discusses the rationale behind each differentiated option, and explains how the program is being implemented. (As Provided).
Anmerkungen	Information Systems and Computing Academic Professionals. Box 488, Wrightsville Beach, NC 28480. e-mail: publisher@isedj.org; Web site: http://isedj.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01