Value Creation of Big Data Utilization: The Next Frontier for Productive Scholarship among Filipino Academics

Autor/inn/en	Dapiton, Ethelbert P.; Canlas, Ranie B.
Titel	Value Creation of Big Data Utilization: The Next Frontier for Productive Scholarship among Filipino Academics
Quelle	In: European Journal of Educational Research, 9 (2020) 1, S.423-431 (9 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2165-8714
Schlagwörter	College Faculty; Data Analysis; Productivity; Reputation; Faculty Workload; Scientific Research; Time Management; Teacher Attitudes; Data Use; Item Response Theory; Foreign Countries; Philippines + Suchen Sie Ihr Suchwort? Fakultät; Auswertung; Produktivität; Zeitmanagement; Lehrerverhalten; Item-Response-Theorie; Ausland; Philippinen
Abstract	Research productivity plays an important role in the prestige and reputation among higher education institutions. However, the time spent to do research among Filipino academics is the most pressing issue since they can barely meet the requirement for research productivity. Further, the lack of time for data gathering aggravated the drawbacks for research productivity. Data gathering is at the core of almost all research activity, the absence of factual and reliable data will lead to an invalid and illogical inference. In research years, there has been a massive agglomeration of data in large volumes coming from diverse sources pertaining to almost all facets of human activity which is worthy of investigation- known today as Big Data. This research has two (2) main objectives; the first is to find out the underlying reasons why Filipino academics are not enthusiastic to do research. The second is to evaluate the value of big data utilization for research productivity based on the assessment of the faculty members. This research used the Rasch model to measure the responses of Filipino academics with regards to their reasons for not doing enough research work as well as on their assessment for value creation of big data utilization using a polytomous item response selection scale. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01