scholarly journals A Business Intelligence Framework for Analyzing Educational Data

2020 ◽  
Vol 12 (14) ◽  
pp. 5745
Author(s):  
William Villegas-Ch ◽  
Xavier Palacios-Pacheco ◽  
Sergio Luján-Mora
Keyword(s):  
Data Mining ◽  
Information Systems ◽  
Learning Outcomes ◽  
Large Volume ◽  
Business Intelligence ◽  
Quality Education ◽  
Academic Variables ◽  
Success Stories ◽  
The University

Currently, universities are being forced to change the paradigms of education, where knowledge is mainly based on the experience of the teacher. This change includes the development of quality education focused on students’ learning. These factors have forced universities to look for a solution that allows them to extract data from different information systems and convert them into the knowledge necessary to make decisions that improve learning outcomes. The information systems administered by the universities store a large volume of data on the socioeconomic and academic variables of the students. In the university field, these data are generally not used to generate knowledge about their students, unlike in the business field, where the data are intensively analyzed in business intelligence to gain a competitive advantage. These success stories in the business field can be replicated by universities through an analysis of educational data. This document presents a method that combines models and techniques of data mining within an architecture of business intelligence to make decisions about variables that can influence the development of learning. In order to test the proposed method, a case study is presented, in which students are identified and classified according to the data they generate in the different information systems of a university.

Information literacy assessment by portfolio: a case study

2007 ◽  
Vol 35 (1) ◽  
pp. 41-70 ◽  
Author(s):  
Valerie Sonley ◽  
Denise Turner ◽  
Sue Myer ◽  
Yvonne Cotton
Keyword(s):  
Learning Outcomes ◽  
Information Literacy ◽  
Assessment Method ◽  
Literacy Assessment ◽  
Content Type ◽  
Small Cohort ◽  
The University ◽  
Practical Implications ◽  
Selection Of

PurposeThe purpose of this paper is to report the results of a case study evaluating the revision of the assessment methods of an information literacy module. The revised assessment method took the form of a portfolio.Design/methodology/approachDuring 2004, all six credit modules at the University of Teesside had to be reviewed and restructured into ten credit modules. Following Biggs' principles of constructive alignment, the tutors looked at the existing module aims and learning outcomes. A review of the literature and previous experience informed the selection of the new assessment method by portfolio. An evaluation of the assessment method was undertaken after the module had run.FindingsThe paper finds that the assessment method had real strengths especially in terms of validity. It was also economical and efficient. Students knew what they were expected to do and where they needed to put in effort.Research limitations/implicationsThe assessment by a portfolio method has been carried out once with a relatively small cohort of students, so the findings can only be regarded as interim.Practical implicationsThe tutors believe that they have created a very useful module with an aligned assessment method which would be of benefit to a much greater number of studentsOriginality/valueThere is a shortage of publications that report the results of the use of portfolios for the assessment of information literacy.

The Single Most Consequential Thing We Do in Universities

2013 ◽  
pp. 304-329
Author(s):  
Grant Campbell
Keyword(s):  
Decision Making ◽  
Learning Outcomes ◽  
Academic Careers ◽  
Important Thing ◽  
Constructive Alignment ◽  
The University ◽  
University Of Manchester ◽  
Giving Feedback

Assessing students (including giving feedback and making decisions based on assessments) is arguably the single most important thing done in universities in terms of tangible impacts on people’s lives, but assessment is hard to do. Academics are seldom trained in assessment, and for many it is the most worrying aspect of the job. The University of Manchester operates a New Academics Programme for its probationary lecturers, running over three years and encompassing research, teaching, and administrative aspects of academic careers, culminating in a reflective portfolio. This case study describes the introduction of an assessment component into this programme, including its motivation, content, implementation, and evolution, and its reception by the new academics. The assessment component of the New Academics Programme is now delivered in two sessions at different times of the year. The first covers the importance of assessment and gives guidance for designing good assessments and giving feedback. The second session goes more deeply into constructive alignment and learning outcomes, leading on to decision making in exam boards, and ending with a focus on cultivating academic judgement.

Suggested Model for Business Intelligence in Higher Education

Data Mining ◽  
2013 ◽  
pp. 550-566 ◽  
Author(s):  
Zaidoun Alzoabi ◽  
Faek Diko ◽  
Saiid Hanna
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Business Intelligence ◽  
University Management ◽  
Suggested Model ◽  
Business Decision ◽  
Data Mining Approach ◽  
Input Processing ◽  
The University

BI is playing a major role in achieving competitive advantage in almost every sector of the market, and the higher education sector is no exception. Universities, in general, maintain huge databases comprising data of students, human resources, researches, facilities, and others. Data in these databases may contain decisive information for decision making. In this chapter we will describe a data mining approach as one of the business intelligence methodologies for possible use in higher education. The importance of the model arises from the reality that it starts from a system approach to university management, looking at the university as input, processing, output, and feedback, and then applies different business intelligence tools and methods to every part of the system in order to enhance the business decision making process. The chapter also shows an application of the suggested model on a real case study at the Arab International University.

scholarly journals A Tale of Two Systems: Success and Failure in a Single Information System Implementation

2021 ◽  
Author(s):  
Catherine A. Middleton
Keyword(s):  
Information System ◽  
Information Systems ◽  
System Design ◽  
Successful Implementation ◽  
System Implementation ◽  
Secondary Users ◽  
Primary Users ◽  
Systems Implementation ◽  
The University

This paper presents a case study of an information system implementation. The system, a computerized student record system, was introduced into a small university when the university opened. Unlike many other case studies of systems implementation, there was no existing system to replace, thus it was expected that there would be little resistance to the system. Successful implementation was anticipated, particularly as the systems designers were also the primary users. An evaluation of the system shows this was not the case. Two groups of users are identified, one pleased with the system, the other dissatisfied. The secondary users did not display their dissatisfaction with the system by resistance, however. They used the system frequently, but were denied the full access they required to do their jobs. Ostensibly due to technical limitations of the system, the primary users acted as gatekeepers. An examination of the culture and management structure of the university reveals strong political motivations for the primary users to exert power over the secondary users. Markus’s (1983) interpretation of interaction theory is used to discuss the political implications of the system design. It is concluded that senior management must be aware of the importance of information systems to their organizations, and understand the potential for designers to use these systems as sources of power. The case study is reconstructed from the author’s experiences as a staff member at the university during the system implementation, initially as a primary user of the system (but not an active member of the system design team), and later as a secondary user. The case is evaluated from the perspective of both user groups, using a framework derived from the literature on information systems failure and successful systems implementation.

scholarly journals A business intelligence framework for Sultan Qaboos University: A case study in the Middle East

2017 ◽  
Vol 7 (3) ◽  
Author(s):  
Saud Sultan Al Rashdi ◽  
Smitha Sunil Kumaran Nair
Keyword(s):  
Big Data ◽  
Performance Management ◽  
Business Intelligence ◽  
Teaching And Learning ◽  
Successful Implementation ◽  
Sultan Qaboos University ◽  
Making Sense ◽  
Usable Information ◽  
The University

Higher education institutions generate big data, yet they are not exploited toobtain usable information. Making sense of data within organizations becomes the key factorfor success in maintaining sustainability within the market and gaining competitiveadvantages. Business intelligence and analytics addresses the challenges of data visibility anddata integrity that helps to shift the big data to provide deep insights into such data. Thisresearch aims to build a customized business intelligence (BI) framework for Sultan QaboosUniversity (SQU). The research starts with assessing the BI maturity of the educationalinstitutions prior to implementation followed by developing a BI prototype to test BI capabilitiesof performance management in SQU. The prototype has been tested for the key business activity(KBA): teaching and learning at one college of the university. The results show that theaggregation of the different KBAs and KPIs will contribute to the overall SQU performance andwill provide better visibility of how SQU as an organization is functioning, which is the keytowards the successful implementation of BI within SQU in the future.

Closing the Gap between Data Mining and Business Users of Business Intelligence Systems

2012 ◽  
Vol 3 (4) ◽  
pp. 14-53 ◽  
Author(s):  
Ana Azevedo ◽  
Manuel Filipe Santos
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Business Intelligence ◽  
Easy Access ◽  
Complete Knowledge ◽  
Business Intelligence Systems ◽  
Closing The Gap

Since Lunh first used the term Business Intelligence (BI) in 1958, major transformations happened in the field of information systems and technologies, especially in the area of decision support systems. BI systems are widely used in organizations and their importance is recognized. These systems present themselves as essential parts of a complete knowledge of business and an irreplaceable tool in the support to decision making. The dissemination of data mining (DM) tools is increasing in the BI field, as well as the acknowledgment of the relevance of its usage in enterprise BI systems. BI tools are friendly, iterative, and interactive, allowing business users an easy access. The user can manipulate directly data, having the ability to extract all the value contained into that business data. Problems noted in the use of DM in the field of BI is related to the fact that DM models are complex in order to be directly manipulated by business users, not including BI tools. The nonexistence of BI tools allowing business users the direct manipulation of DM models was identified as the problem. More of these issues, possible solutions and conclusions are presented in this article.

Suggested Model for Business Intelligence in Higher Education

2012 ◽  
pp. 223-239
Author(s):  
Zaidoun Alzoabi ◽  
Faek Diko ◽  
Saiid Hanna
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Business Intelligence ◽  
University Management ◽  
Suggested Model ◽  
Business Decision ◽  
Data Mining Approach ◽  
Input Processing ◽  
The University

BI is playing a major role in achieving competitive advantage in almost every sector of the market, and the higher education sector is no exception. Universities, in general, maintain huge databases comprising data of students, human resources, researches, facilities, and others. Data in these databases may contain decisive information for decision making. In this chapter we will describe a data mining approach as one of the business intelligence methodologies for possible use in higher education. The importance of the model arises from the reality that it starts from a system approach to university management, looking at the university as input, processing, output, and feedback, and then applies different business intelligence tools and methods to every part of the system in order to enhance the business decision making process. The chapter also shows an application of the suggested model on a real case study at the Arab International University.

Enterprise Information System and Data Mining

2012 ◽  
pp. 228-235
Author(s):  
Kenneth D. Lawrence ◽  
Dinesh R. Pai ◽  
Ronald Klimberg ◽  
Sheila M. Lawrence
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Information Systems ◽  
Business Intelligence ◽  
Large Data ◽  
Customer Relationship ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Competitive Edge ◽  
Organizational Functions

The advent of information technology and the consequent proliferation of information systems have lead to generation of vast amounts of data, both within the organization and across its supply chain. Enterprise information systems (EIS) have added to organizational complexity, and at the same time, created opportunities for enhancing its competitive advantage by utilizing this data for business intelligence purposes. Various data mining tools have been used to gain a competitive edge through these large data bases. In this paper, the authors discuss EIS-aided business intelligence and data mining as applicable to organizational functions, such as supply chain management (SCM), marketing, and customer relationship management (CRM) in the context of EIS.

scholarly journals Creating Successful Student Learning Outcomes: The Case of Trinity University’s Quality Enhancement Plan Entitled “Starting Strong”

2020 ◽  
Vol 12 (19) ◽  
pp. 8197
Author(s):  
John R. Hermann
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Quality Enhancement ◽  
Staff Members ◽  
Successful Student ◽  
Quality Enhancement Plan ◽  
The One ◽  
The University

Using Starting Strong as a case study, this article examines how four successful Student Learning Outcomes (SLO’s) emerged and one was eliminated during the Quality Enhancement Plan’s (QEP’s) development process. In comparison to the one that was purged, the four successful SLO’s had five commonalities: 1. Virtually unanimous support from the administration; 2. Wide acceptance of the SLO from the faculty and staff members working on the QEP; 3. A shared conception between the administration and faculty/staff of what is an appropriate SLO; 4. The SLO’s could be clearly conceptualized and measured; And, 5., the SLO’s are financially feasible for the university to implement. The study hopes that this article may provide guidance for other universities undertaking and developing SLO’s and QEP’s.

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