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Rick L. Brattin – Higher Education, Skills and Work-based Learning, 2025
Purpose: Higher education institutions increasingly emphasize data analytics education, yet curricula based solely on competency-based frameworks may overlook industry's process-driven approach. This study examines the process deficit in data analytics education and its impact on workforce readiness. It explores strategies to better align…
Descriptors: Higher Education, Data Analysis, Data Science, Career Readiness
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Queen E. Booker; Carl M. Rebman Jr.; Hayden Wimmer; Steve B. Levkoff; Loreen Powell; Jennifer L. Breese – Information Systems Education Journal, 2024
The focus of this study was to assess the skill requirements for data analytics positions and to understand data analysis employment expectations for new graduates. Furthermore, this work seeks to highlight issues relevant to curriculum management in university degree programs. 786 job postings were analyzed for domain-related, soft skills, as…
Descriptors: Data Analysis, College Graduates, Expectation, Employment Potential
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Eylem Tas – Information and Learning Sciences, 2024
Purpose: This study aims to explore the findings related to data literacy skills for students to succeed in the digital age labor market and the role of university-industry collaborations (UICs) in the co-design and co-delivery of curriculum for the development of students' data literacy. Design/methodology/approach: The study uses an…
Descriptors: Statistics Education, School Business Relationship, Teaching Methods, Labor Market
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David Levy; Harvey J. Graff – Change: The Magazine of Higher Learning, 2024
Historically, it has been difficult for students and their families to compare how different colleges and programs improve students' chances of landing a desirable job and earning a good salary. The U.S. Department of Education's 2015 release of student earning data was a major step toward remedying this problem. The data offered by the College…
Descriptors: College Choice, Income, Outcomes of Education, Education Work Relationship
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Percy, Chris; Tomlinson, Michael; Huddleston, Prue – Journal of Education and Work, 2020
This paper identifies a nascent trend in several countries regarding increased collection, public availability and use of destination data for graduates of secondary education, with policy ambitions to support pupil-level decision-making and drive provider-level accountability. This trend mirrors the previous development of such data for higher…
Descriptors: Educational Trends, Data Collection, Secondary Education, Educational Research
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Oliveira, Gisela – International Journal of Research & Method in Education, 2023
The use of codebooks to categorise qualitative data and to increase consistency in coding between multiple researchers is a well-established strategy in qualitative research. However, due to the focus on team-based research projects, the possibilities for the use of codebooks by individual researchers are rarely discussed. With the aim of adding…
Descriptors: Guides, Data Analysis, Transfer of Training, Coding
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Luciano, Ruth G.; Olipas, Cris Norman P.; Dela Cruz, Arnold P. – Online Submission, 2022
Student dropout is one of the challenges commonly encountered by learning institutions. It has been a problem and several studies have been conducted to know the reasons for dropping out to craft solutions appropriate and contextualized to different types of learning institutions. This study seeks to determine the dropout rates of the Bachelor of…
Descriptors: Foreign Countries, Information Technology, College Students, Dropout Rate
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Gorjan Nadzinski; Branislav Gerazov; Stefan Zlatinov; Tomislav Kartalov; Marija Markovska Dimitrovska; Hristijan Gjoreski; Risto Chavdarov; Zivko Kokolanski; Igor Atanasov; Jelena Horstmann; Uros Sterle; Matjaz Gams – Informatics in Education, 2023
With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills…
Descriptors: Data Science, Artificial Intelligence, Man Machine Systems, Vocational Education
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Tiahrt, Thomas; Hanus, Bartlomiej; Porter, Jason C. – Decision Sciences Journal of Innovative Education, 2022
Firms desire graduates capable of executing current and future business practices, many of which revolve around data. To meet those needs, we shifted the orientation of our required information systems course from technology to data. Instead of a survey of information systems, students learn the data acquisition-preparation-mining-presentation…
Descriptors: Information Systems, Information Science Education, Computer Software, Undergraduate Students
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Abdur R. Shahid; Sushma Mishra – Journal of Information Systems Education, 2024
Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of…
Descriptors: Masters Programs, Information Systems, Computer Science Education, Artificial Intelligence
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Zahay, Debra; Pollitte, Wesley A.; Reavey, Brooke; Alvarado, Antonio – Marketing Education Review, 2022
The purpose of this paper is to detail an exploratory case study which highlights a process to modernize an undergraduate marketing curriculum by incorporating aspects of digital marketing and analytics in all courses. In comparison to most other university models that offer, at best, one course in digital marketing, this paper details a blueprint…
Descriptors: Internet, Teaching Methods, Curriculum Design, Marketing
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Charles W. Patrick Jr.; James Machek; Reza Avazmohammadi; Daniel L. Alge; Charles W. Peak; Michael McShane – Biomedical Engineering Education, 2022
Gaps, redundancies, and bottlenecks in undergraduate curricula can markedly affect faculty teaching courses and the successful preparation of students for the professional biomedical engineering workforce. Anecdotal observations from faculty of potential curriculum deficiencies, the rapidly changing landscape of biomedical engineering education,…
Descriptors: Biomedicine, Engineering Education, Educational Improvement, Curriculum Development
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Wesley Edwards; Kevin Russel Magill – Educational Review, 2024
The increased privatisation of educational systems is a global trend with several important implications for teachers' preparation and workforce outcomes. With many countries facing teacher shortages, retention for novice teachers is a key area of focus for educational leaders and policymakers -- yet there is a lack of evidence related to the…
Descriptors: For Profit Colleges, Teacher Education Programs, Career Readiness, Outcomes of Education
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Neelima Bhatnagar; Victoria Causer; Michael J. Lucci; Michael Pry; Dorothy M. Zilic – Information Systems Education Journal, 2024
Data analytics is a rapidly growing field that plays a crucial role in extracting valuable insights from large volumes of data. A data analytics practicum course provides students with hands-on experience in applying data analytics techniques and tools to real-world scenarios. This practicum is intended to serve as a bridge between the student's…
Descriptors: Statistics Education, Data Analysis, Practicums, Education Work Relationship
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Czyzewska, Marta; Mroczek, Teresa – Education Sciences, 2020
The aim of the paper is to diagnose the entrepreneurship competency levels among students to identify differences in competencies and their levels regarding gender, material status, and professional situation. In addition, the goal of the analysis is to indicate the competencies that need to be strengthened among individual groups of students. The…
Descriptors: Data Analysis, Entrepreneurship, Competence, Foreign Countries
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