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Educational Data Mining: An Application of a Predictive Model of Online Student Enrollment Decisions
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
Flight, Richard L. – Journal of Marketing Education, 2021
Observations from faculty who teach marketing indicate that a relatively small percentage of students have strong interest in quantitative analysis and many come into the marketing major out of the misperception that it is light on math. In reality, over 98% of marketing professionals use data during their decision-making processes, while 80% of…
Descriptors: Marketing, Integrated Curriculum, Research Skills, Teaching Methods
Skhvediani, Angi; Sosnovskikh, Sergey; Rudskaia, Irina; Kudryavtseva, Tatiana – Journal of Education for Business, 2022
The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted…
Descriptors: Data Analysis, Employment Qualifications, Higher Education, Curriculum Development
Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
Pouliakas, Konstantinos, Ed. – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Association for Institutional Research, 2018
Higher education institutions in the United States have collected and analyzed data for decades. From mandatory reporting for state and federal compliance to ad hoc reporting for internal and external stakeholders, there are myriad business purposes for which administrators, staff, and faculty routinely gather data. As more colleges and…
Descriptors: Colleges, Data Collection, Data Analysis, Strategic Planning
Li, Weifeng – ProQuest LLC, 2017
Social media analytics is a critical research area spawned by the increasing availability of rich and abundant online user-generated content. So far, social media analytics has had a profound impact on organizational decision making in many aspects, including product and service design, market segmentation, customer relationship management, and…
Descriptors: Social Media, Information Security, Role, Crime
Rankin, Jenny Grant; Johnson, Margie; Dennis, Randall – Online Submission, 2015
When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…
Descriptors: Data Collection, Information Technology, Data Analysis, Information Systems
Bradley, Sapora L. – ProQuest LLC, 2017
The increasing implementation of technology applications into the workplace has substantiated the need for adept professionals who can manage HR technology for employees and provide data about the organization. For some companies, these professionals are found within the human resources department. These information systems professionals combine…
Descriptors: Human Resources, Professional Personnel, Information Systems, Qualitative Research
Business-Higher Education Forum, 2017
Increasingly US jobs require data science and analytics skills. Can we meet the demand? The current shortage of skills in the national job pool demonstrates that business-as-usual strategies won't satisfy the growing need. If we are to unlock the promise and potential of data and all the technologies that depend on it, employers and educators will…
Descriptors: Data Collection, Data Analysis, Job Skills, Surveys
Peace Corps, 2014
Data-driven decision making is part of our everyday lives. For example, we examine our children's immunization charts in order to indicate what vaccinations they have received, as well as what vaccinations are missing and expired. We use information, like a chart, to make decisions about what to do and what not to do. Data-driven decision making…
Descriptors: Data, Decision Making, Volunteers, Training
Vanderlinde, Ruben; Hermans, Ruben; van Braak, Johan – Educational Studies, 2010
An important step towards the successful integration of Information and Communication Technology (ICT) in schools is to facilitate their capacity to develop a school based ICT policy. However, one of the biggest challenges for schools is to gather data that could help shape such policy development. In this context, ICT researchers can be very…
Descriptors: Feedback (Response), Computer Uses in Education, Researchers, Foreign Countries
Halligan, Tom – Community College Journal, 2010
As more community colleges focus on using data to improve educational outcomes, many administrators are considering business intelligence applications that promise a path toward more informed decisions. Getting there, leaders say, requires more than installing some out-of-the-box solution; it requires changing the culture and finding skilled…
Descriptors: Intelligence, Graduation Rate, Graduation, Information Technology
Hess, Frederick M.; Fullerton, Jon – American Enterprise Institute for Public Policy Research, 2010
Educators lack the data necessary to pinpoint concerns and successes in schools. A focus on collecting student achievement data in the past ten years has increased the amount of information school districts have, but these data are insufficient. Successful organizations use extensive data analysis to guide decisions, but few K-12 districts have…
Descriptors: Elementary Secondary Education, Educational Improvement, Data Collection, Academic Achievement
Wargo, Edwin – Learning & Leading with Technology, 2006
If technology can affect student learning, shouldn't it be considered in making decisions? Data-driven decision making models include data from curriculum, instruction, test scores, lunch programs, budgets, and transportation. None of the current models include anything about technology. The challenge with any type of data-driven decision making…
Descriptors: Educational Technology, Decision Making, Computer Software, Information Technology
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