scholarly journals Contemporary Privacy Theory Contributions to Learning Analytics

2014 ◽  
Vol 1 (1) ◽  
pp. 140-149 ◽  
Author(s):  
Jennifer Heath
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Information Systems ◽  
Student Voice ◽  
Learning Analytics ◽  
Higher Education Institutions ◽  
Future Research ◽  
Potential Contribution

With the continued adoption of learning analytics in higher education institutions, vast volumes of data are generated and “big data” related issues, including privacy, emerge. Privacy is an ill-defined concept and subject to various interpretations and perspectives, including those of philosophers, lawyers, and information systems specialists. This paper provides an overview of privacy and considers the potential contribution contemporary privacy theories can make to learning analytics. Conclusions reflect on the suitability of these theories towards the advancement of learning analytics and future research considers the importance of hearing the student voice in this space.

Big data academic and learning analytics

2018 ◽  
Vol 32 (6) ◽  
pp. 1099-1117 ◽  
Author(s):  
Sushil S. Chaurasia ◽  
Devendra Kodwani ◽  
Hitendra Lachhwani ◽  
Manisha Avadhut Ketkar
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Learning Analytics ◽  
Predictive Analytics ◽  
Business Value ◽  
Sufficient Evidence ◽  
Future Research ◽  
Content Type ◽  
Potential Benefits ◽  
Value Model

Purpose Although big data analytics (BDA) have great benefits for higher education institutions (HEIs), due to lack of sufficient evidence on how BDA investment can pay off, it is tough for HEIs practitioners to realize value from such adoption. The purpose of this paper is to propose a big data academic and learning analytics enabled business value model to explain BDA potential benefits and business value which can be obtained by developing such analytics capabilities in HEIs. Design/methodology/approach The study examined 47 case descriptions from 26 HEIs to investigate the causal association between the BDA current and potential benefits and business value creation path for big data academic and learning analytics success in HEIs. Findings The pressure of compliance with all legal and regulatory requirements and competition had pushed HEIs hard to adopt BDA tools. However, the study found out that application of risk and security and predictive analytics to higher education fields is still in its infancy. Using this theoretical model, the results provide new insights to higher education administrators on ways to create BDA capabilities for HEIs transformation and suggest an empirical foundation that can lead to more thorough analysis of BDA implementation. Originality/value A distinctive theoretical contribution of this study is its conceptualization of understanding business value from BDA in the typical setting of higher education. The study provides HEIs with an all-inclusive understanding of BDA and gives insights on how it helps to transform HEIs. The new perspectives associated with the big data academic and learning analytics enabled business value model will contribute to future research in this area.

Trends in learning analytics practices: a review of higher education institutions

2018 ◽  
Vol 15 (2) ◽  
pp. 132-154 ◽  
Author(s):  
Billy Tak-Ming Wong ◽  
Kam Cheong Li ◽  
Samuel Ping-Man Choi
Keyword(s):  
Higher Education ◽  
Learning Analytics ◽  
Higher Education Institutions ◽  
Background Information ◽  
Future Research ◽  
Content Type ◽  
Timely Feedback ◽  
The Usa ◽  
Learning Behaviours ◽  
The Uk

PurposeThis paper aims to review and identify the major patterns and trends in learning analytics practices in higher education institutions. The review covers the characteristics of the institutions, as well as the characteristics and outcomes of the learning analytics practices.Design/methodology/approachThis research collected literature published in 2011-2016 which reported learning analytics practices from Scopus and Google Scholar, covering a total of 47 institutions, and categorised the information about the relevant institutions and practices.FindingsThe results show that most of the institutions were public ones in the USA and the UK of various sizes and offering different levels of study. The learning analytics practices were mainly institution-wide, apart from a small number focusing on selected courses. The purposes of the practices were mainly to enhance the effectiveness of learning support and administration, followed by facilitating students’ learning progress. The most common types of data collected for the practices were students’ academic behaviours and their background information. Positive outcomes were reported for a majority of the practices, and the most frequent ones being an increase in cost-effectiveness and understanding of students’ learning behaviours. Other outcomes included the improvement of student retention, timely feedback and intervention, support for informed decision-making and the provision of personalised assistance to students.Originality/valueThe results provide an overview of the use of learning analytics in the higher education sector. They also reveal the trends in learning analytics practices, as well as future research directions.

scholarly journals The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Behavioral Intention ◽  
Support Systems ◽  
Higher Education Institutions ◽  
Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

scholarly journals IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE DETERMINATION SYSTEM OF THESIS SUPERVISOR

2021 ◽  
Vol 23 (2) ◽  
pp. 133-141
Author(s):  
Renny Puspita Sari ◽  
Ferdy Febriyanto ◽  
Ibnur Rusi
Keyword(s):  
Higher Education ◽  
Information Systems ◽  
Higher Education Institutions ◽  
Natural Sciences ◽  
Weighting Method ◽  
Weight Value ◽  
Determination System ◽  
Simple Additive Weighting

Majors are part of higher education institutions that a very important role determining the thesis student supervisor . At the Department of Information Systems, Faculty of Mathematics and Natural Sciences (MIPA) the determination of the thesis supervisor is carried out through a lecturer meeting based on its title in accordance with the competence of the lecturer who will guide, regardless of the number of lecturers' workload or the number of students being supervised. The results of the decision of the meeting to determine the supervisors will be announced to students after the meeting is held. This flow inefficient and may lead to ineffective determination of the supervisor . The final result of the system shows that the Simple Additive Weighting (SAW) method can be applied to determine the weight value of each attribute so as to produce a ranking of each alternative lecture who will be selected as a student supervisor for the thesis according to the result of computerized and accurate calculations.

Conceptualizing international positioning strategies for Indian higher education institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudhir Rana ◽  
Shubhangi Verma ◽  
Moon Moon Haque ◽  
Gouher Ahmed
Keyword(s):  
Higher Education ◽  
Cultural Sensitivity ◽  
Higher Education Institutions ◽  
Wicked Problem ◽  
Future Research ◽  
Total Quality ◽  
Content Type ◽  
Current State ◽  
The Future ◽  
Indian Higher Education

Purpose The manuscript reflects on the future of higher education from an emerging country perspective. The authors specifically answer how new education policies, ranking and accreditation are impacting the current state of Indian higher education institutions (IHEIs) and how IHEIs can cultivate their path towards positioning themselves internationally. This study aims to bring together existing scenarios and to serve as a springboard for future research and applications. Design/methodology/approach The manuscript is designed and executed as a conceptual study exploring the current state and prospects for IHEIs. The study synthesizes the concepts of positioning strategies in context to IHEIs. A conceptual diagram integrating existing concepts from marketing, total quality management and business education is created to understand the phenomenon among the IHEIs stakeholders. Findings The authors found that IHEIs started showing their international presence yet they are facing various challenges (government bureaucracy; international salary standards; global student population; and cultural sensitivity). The authors also found that the positioning problem is not a one-time attempt; the complexity of higher education is a “wicked problem” and, hence needs to be evaluated, changed and executed continuously. The manuscript offers relevant information to IHEIs leaders and stakeholders to improve on their international positioning strategies and proposes avenues for future research. Originality/value The study outlines future development and positioning strategic plans that IHEIs may consider and reflect in their strategic plan. The conceptual diagram on achieving successful international positioning and problem areas is expected to act as a guidebook for the key decision-makers. The focus is on distinguishing the imperatives, creating a key guide for meeting immediate requirements, allotting assets prudently to update their international presence. The study will provide IHEIs with a new lease of life in the future.

An Accounting Information Systems Perspective on Data Analytics and Big Data

2017 ◽  
Vol 31 (3) ◽  
pp. 101-114 ◽  
Author(s):  
Esperanza Huerta ◽  
Scott Jensen
Keyword(s):  
Big Data ◽  
Information Systems ◽  
Data Analytics ◽  
Accounting Information ◽  
Security Requirements ◽  
Future Research ◽  
Accounting Information Systems ◽  
Systems Perspective ◽  
Analytic Skills

ABSTRACT Forty-six academics and practitioners participated in the second Journal of Information Systems Conference to discuss data analytics and Big Data from an accounting information systems perspective. The panels discussed the evolving role of technology in accounting, privacy within the domain of Big Data, and people and Big Data. Throughout all three panels, several topics emerged that impact all areas of accounting—developing enhanced analytical and data handling skills; evaluating privacy, security requirements, and risks; thinking creatively; and assessing the threat of automation to the accounting profession. Other topics were specific to a segment of the profession, such as the growing demand for privacy compliance audits and the curriculum adjustments necessary to develop data analytic skills. This commentary synthesizes and expands the discussions of the conference panels and suggests potential areas for future research.

Educational Portals

Web Portals ◽  
2011 ◽  
pp. 252-269 ◽  
Author(s):  
Marko Bajec
Keyword(s):  
Higher Education ◽  
Information System ◽  
Information Systems ◽  
Higher Education Institutions ◽  
Institutions Of Higher Education ◽  
Motivating Factors ◽  
Promising Technology ◽  
Core Components ◽  
User Centric ◽  
The University

Portal-based solutions have been proved in practice to be a promising technology that offers companies a way to transform and integrate their information systems more effectively and at lower cost. The main point of this paper is to discuss the use of portals in institutions of higher education. We examine the motivating factors that drive higher-education institutions to use portal-based solutions. As an example, we explain how the University of Ljubljana is taking advantage of portal technology and what benefits are to be expected from the use of portals as core components of the university’s new user-centric information system.

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