The perceptions of the meaning and value of analytics in New Zealand higher education institutions

被引:0
作者
Hamidreza Mahroeian
Ben Daniel
Russell Butson
机构
[1] University of Otago,Higher Education Development Centre
来源
International Journal of Educational Technology in Higher Education | / 14卷
关键词
Analytics; Higher education; Perceived values; Challenges;
D O I
暂无
中图分类号
学科分类号
摘要
This article presents the current perceptions on the value of analytics and their possible contribution to the higher education sector in New Zealand. Seven out of eight research-intensive public universities in New Zealand took part in the study. Participants included senior management and those who have some role associated with decision-making within higher education (N = 82). The study found inconsistent understanding of the meaning of analytics across participants. In particular, three forms of perceptions of analytics were identified: structural; functional and structural-functional. It was evident that some participants viewed analytics in its structural elements such as statistics, metrics, trends, numbers, graph, and any relevant information/data to enhance better decision-making, whereas other participants perceived the notion of analytics in terms of functional aspect; as means to an end, a process to use the data to gain insights and taking action on complex problems, yet a third group viewed analytics from both structural-functional perspectives. These kinds of perceptions have to a larger extent influenced participants’ views on the value of analytics in shaping policy and practice. Also, literature has addressed a number of possible challenges associated with the large-scale institutional implementation of analytics. These challenges were: difficulties in extracting data from multiple databases, maintaining data quality, ethical and privacy issues, and lack of professional development opportunities. This article aims to broadly contribute to a better understanding of current perception and value of analytics in higher education, and in particular within the New Zealand context.
引用
收藏
相关论文
共 36 条
[1]  
Althubaiti A(2014)Medical colleges in Saudi Arabia: Can we predict graduate numbers? Higher Education Studies 4 1-8
[2]  
Alkhazim M(2010)Graphic strategies for analyzing and interpreting curricular mapping data American Journal of Pharmaceutical Education 74 81-91
[3]  
Armayor GM(2014)Understanding the pros and cons of big data analytics Physician Executive 40 6-12
[4]  
Leonard ST(2012)Business intelligence and analytics: From big data to big impact MIS Quarterly: Management Information Systems 36 1165-1188
[5]  
Bottles K(2013)An overview of learning analytics Teaching in Higher Education 18 683-695
[6]  
Begoli E(2015)Big data and analytics in higher education: Opportunities and challenges British Journal of Educational Technology 46 904-920
[7]  
Worley B(2013)Using learning analytics to predict (and improve) student success: A faculty perspective Journal of Interactive Online Learning 12 17-26
[8]  
Chen H(2012)Learning analytics: Drivers, developments, and challenges Int J Technol Enhanced Learning 4 304-317
[9]  
Chiang RH(2013)The application of data mining to build a classification model for predicting graduate employment Int J Comput Sci and Inf Security 11 1-7
[10]  
Storey VC(2013)Measuring the value of library resources and student academic performance through relational datasets Evidence-Based Library and Information Practice 8 163-171