Data Analytics Workshop Series for Non-Computing Major First-Generation-College-Bound Students

Autor/in	Chung, Sam
Titel	Data Analytics Workshop Series for Non-Computing Major First-Generation-College-Bound Students
Quelle	In: Information Systems Education Journal, 16 (2018) 5, S.37-44 (8 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1545-679X
Schlagwörter	Data Analysis; Workshops; Computer Science Education; Nonmajors; College Bound Students; First Generation College Students; Learner Engagement; Student Motivation; Summer Programs; Evidence Based Practice; Student Centered Learning; Active Learning; Student Projects; Student Research + Suchen Sie Ihr Suchwort? Auswertung; Lernwerkstatt; Schulung; Computer science lessons; Informatikunterricht; Schulische Motivation; Sommerkurs; Group work; Student-entered learning; Student-centred learning; Student centred learning; Schülerorientierter Unterricht; Schülerzentrierter Unterricht; Gruppenarbeit; Aktives Lernen; Schulprojekt; Studentenforschung
Abstract	The purpose of this research is to propose how we can encourage non-computing major first-generation-college-bound students to be actively involved in learning data analytics. Non-computing major students have limited opportunities to take a data analytics related course. The computing major programs have the resource limit for offering none-major electives. The first-generation-college-bound students need more mentoring for their future directions. For this purpose, we challenge the following three goals: 1) What practices can we use with underpinning scientific evidences? 2) How can we enhance engagement of students with very limited interventions from an instructor? and, 3) how can we motivate the participation of the non-computing major students? To accomplish these goals, we start with developing a series of summer workshops that is Evidence-Based Practices (EBP)-guided, student-driven, and applied. Based upon the EBPs, we develop a series of student-driven summer workshops, not a regular elective course, with an emphasis on application of data analytics to the main areas in which the students are interested. We conclude that the EBP first helped us to develop these workshop series for applied data analytics with underpinning scientific evidences. Second, these workshops using active learning methods allowed the students to have their strong engagement with very limited interventions from an instructor. Third, these workshops motivated the participation of the non-computing major students by influencing the students to seek how data analytics can be applied to their domain. Last, the outcome of their team project allowed them to experience undergraduate research. (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	2020/1/01