Adoption of Big Data in Higher Education for Better Institutional Effectiveness

Hwang, Youngsik

doi:10.20448/815.21.31.44

Cited by 8 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Big data allows for the creation of learning information about student performance and learning methods (Al-Rahmi et al, 2020;Al-Rahmi et al, 20219). Using big data, a variety of tools and assessments may be used to measure student behaviors and the efficacy of instructors' instruction in a learning environment where they engage with one another (Hwang, 2019). Big data may also help external stakeholders who are interested in the institutional efficacy in the competitive higher education market comprehend the intricate higher education system (Hwang, 2019).…”

Section: Innovationsmentioning

confidence: 99%

“…Using big data, a variety of tools and assessments may be used to measure student behaviors and the efficacy of instructors' instruction in a learning environment where they engage with one another (Hwang, 2019). Big data may also help external stakeholders who are interested in the institutional efficacy in the competitive higher education market comprehend the intricate higher education system (Hwang, 2019). Big data has consequences for learning, evaluation, and research in higher education institutions, as well as a map of developing potentials in the form of various data sources and modes, such as conventional formats, brand new visualization tools, and the new value of interdisciplinary education (Cope and Kalantzis, 2016).…”

Section: Innovationsmentioning

confidence: 99%

See 1 more Smart Citation

An empirical investigation of adoption Big Data in higher education sustainability

Al-Rahmi¹,

Alkhalaf²

2021

JESI

View full text Add to dashboard Cite

The present research aimed at developing a model on measuring education sustainability, incorporating the literature knowledge management sharing (KMS), innovation as well as adoption of big data (BD) within educational environment. This research hypothesizes that knowledge management sharing influences innovation adoption of BD besides sustainability for learning, while innovation influences adoption of BD besides sustainability in education. It is also hypothesized that BD adoption could be positively connected with education sustainability. The current study adopted a quantitative data gathering approach besides analysis approaches by surveying a total of 811 university undergraduates who were selected by stratified random selection. Learners' feedback was organized along with the four study constructs thus investigated to clarify their education sustainability. Accordingly, the data was analyzed quantitatively by means of Structure Equation Modelling (SEM). Findings demonstrated that knowledge management sharing positively influenced innovation, adoption of big data as sustainability for education. Results also indicate that innovation were negatively significant determinants of adoption of BD but was positively related to sustainability for education. Last, adoption of BD was positively associated to education sustainability. The BD adoption, innovation and knowledge management sharing successfully explained 79.2 % of education sustainability. Implications along with findings of this research were then provided.

show abstract

Section: Innovationsmentioning

confidence: 99%

Section: Innovationsmentioning

confidence: 99%

An empirical investigation of adoption Big Data in higher education sustainability

Al-Rahmi¹,

Alkhalaf²

2021

JESI

View full text Add to dashboard Cite

show abstract

“…This analysis will examine students' performance throughout the year and indicate if they might drop out (Liang et al, 2016). Additionally, predictive analytics can be utilized to conduct scenario analyses on prospective courses before their inclusion in the curriculum, thereby avoiding trial and error (Hwang, 2019).…”

Section: Performance Predictionmentioning

confidence: 99%

The adoption of a big data approach to advance teaching and learning in the context of South African higher education.

Obagbuwa

View full text Add to dashboard Cite

A dissertation submitted in fulfillment of the requirements for the degree of Master of Commerce School of Management, IT and Governance College of Law and Management Studies Supervisor Dr. Upasana Gitanjali Singh 2023 patience, expertise, and profound insights have been instrumental in shaping this dissertation. I am truly grateful for your mentorship. Lastly, I extend my heartfelt appreciation to my family for their unwavering love, encouragement, and belief in my abilities. Your encouragement, support, and steadfast belief in my abilities have fuelled my determination to overcome this challenge and pursue excellence. Your tireless support and understanding have been the bedrock of my strength throughout this journey.As I stand at the culmination of this journey, I am reminded that the pursuit of knowledge is not solitary; it is a symphony of guidance, mentorship, and familial support. The echoes of appreciation I express now will live on in my academic and personal growth narratives for the rest of my life.

show abstract