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Raffaghelli, Juliana E., Ed.; Sangrà, Albert, Ed. – Higher Education Dynamics, 2023
This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and "formae mentis" to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with…
Descriptors: Data Use, Higher Education, Educational Change, Data Analysis
Mississippi Institutions of Higher Learning, 2023
The Fall 2023 Enrollment Fact Book details current fall enrollment data including on- and off-campus enrollment by ethnicity, gender, residency, degree program level, and program category.
Descriptors: Data, Enrollment, Off Campus Facilities, On Campus Students
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Muni Kelly; Nana Y. Amoah – Advances in Accounting Education: Teaching and Curriculum Innovations, 2023
For over a decade now, various stakeholders in accounting education have called for the integration of technology competencies in the accounting curriculum (Association to Advance Collegiate Schools of Business (AACSB), 2013, 2018; Accounting Education Change Commission (AECC), 1990; American Institute of Certified Public Accountant (AICPA), 1996;…
Descriptors: Accounting, Business Education, Technology Integration, Teaching Methods
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Jørnø, Rasmus Leth; Gynther, Karsten – Journal of Learning Analytics, 2018
The possibilities of Learning Analytics as a tool for empowering teachers and educators have created a steep interest in how to provide so-called actionable insights. However, the literature offers little in the way of defining or discussing what the term "actionable insight" means. This selective literature review provides a look into…
Descriptors: Data Analysis, Learning, Educational Research, Definitions
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Jakaitiene, Audrone; Zilinskas, Antanas; Stumbriene, Dovile – Informatics in Education, 2018
Many countries have focused on the improvement of education system performance. Small number of studies consider system of a country as unit of assessment where indicators represent all levels of education system. In the paper, we propose the methodology for the performance analysis of education systems as a whole hybridizing Data Envelopment…
Descriptors: Foreign Countries, Educational Assessment, Factor Analysis, Data Analysis
Selfridge, Richard – SAGE Publications Ltd (UK), 2018
Data rules schools and ignorance is far from bliss. From assessment results to questioning educational claims, there is a growing need to understand the numbers used in education. Education data blogger and teacher Richard Selfridge (aka Jack Marwood) unravels the complexities of dealing with educational data and explains statistics in an…
Descriptors: Evaluation, Data Analysis, Numbers, Graphs
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Hogue, Mark D. – E-Learning and Digital Media, 2022
The sudden outbreak of COVID-19 has forced teachers at all levels to adjust their teaching styles. Nearly every instructor is teaching in ways that are entirely new (at least to them). Online methods have jumped suddenly from à la carte options to essential components of instructional delivery at all levels from pre-kindergarten to higher…
Descriptors: Data Analysis, Video Technology, Web Based Instruction, Distance Education
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Kotsiou, Athanasia; Fajardo-Tovar, Dina Daniela; Cowhitt, Tom; Major, Louis; Wegerif, Rupert – Irish Educational Studies, 2022
Many agree that education needs new goals that reflect the demands of the future. These are often called 'Future Skills', referring to the knowledge, attitudes, values, skills, and competencies intended to prepare learners for the future. The need to teach such Future Skills is often cited, justified by the perception that the future will present…
Descriptors: 21st Century Skills, Futures (of Society), Barriers, Data Analysis
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Araka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
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Clutterbuck, Jennifer – British Journal of Sociology of Education, 2022
Data infrastructures are suffused with stories of their past, present, and future that govern their use. This article draws on research into 'OneSchool', the state schooling data infrastructure used to manage student data in Queensland, Australia. The political, social, and technical histories of OneSchool's development are shown to govern its…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Governance
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Berg, Stephanie A.; Moon, Alena – Chemistry Education Research and Practice, 2022
To develop competency in science practices, such as data analysis and interpretation, chemistry learners must develop an understanding of what makes an analysis and interpretation "good" (i.e., the criteria for success). One way that individuals extract the criteria for success in a novel situation is through making social comparisons,…
Descriptors: Chemistry, Science Instruction, Self Evaluation (Individuals), Feedback (Response)
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Fancsali, Stephen E.; Murphy, April; Ritter, Steve – International Educational Data Mining Society, 2022
Ten years after the announcement of the "rise of the super experiment" at Educational Data Mining 2012, challenges to implementing "internet scale" educational experiments often persist for educational technology providers, especially when they seek to test substantive instructional interventions. Studies that deploy and test…
Descriptors: Learning Analytics, Educational Technology, Barriers, Data Analysis
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Aksu, Nursah; Aksu, Gökhan; Saracaloglu, Seda – International Electronic Journal of Elementary Education, 2022
The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that…
Descriptors: Predictor Variables, International Assessment, Achievement Tests, Foreign Countries
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Vaziri, Stacey; Vaziri, Baback; Novoa, Luis J.; Torabi, Elham – INFORMS Transactions on Education, 2022
The MUSIC (eMpowerment, Usefulness, Success, Interest, Caring) Model of Academic motivation was developed to help instructors promote student motivation in the classroom. This study examines relationships among student perceptions of motivation and effort compared with their performance in undergraduate business analytics courses. Specifically,…
Descriptors: Student Motivation, Introductory Courses, Business Administration Education, Data Analysis
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Towse, John; Davies, Rob; Ball, Ellie; James, Rebecca; Gooding, Ben; Ivory, Matthew – Journal of Statistics and Data Science Education, 2022
We advocate for greater emphasis in training students about data management, within the context of supporting experience in reproducible workflows. We introduce the "L"ancaster "U"niversity "ST"atistics "RE"sources (LUSTRE) package, used to manage student research project data in psychology and build…
Descriptors: Data Analysis, Information Management, Open Source Technology, Data Science
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