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Pangrazio, Luci; Sefton-Green, Julian – Learning, Media and Technology, 2020
This article examines the social utility of the concept, 'data literacy'. Recent developments in the processes of datafication challenge long-held assumptions about privacy and the role of both state and commerce in individual lives. Typically, these have been addressed through: "regulatory" legal constraints underwritten by the nation…
Descriptors: Data Analysis, Literacy, Privacy, Government Role
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Khanal, Shristi Shakya; Prasad, P.W.C.; Alsadoon, Abeer; Maag, Angelika – Education and Information Technologies, 2020
The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools. Personalization systems attempt to reduce this complexity through adaptive e-learning and recommendation systems. The latter are, generally, based on machine learning techniques and algorithms and…
Descriptors: Electronic Learning, Barriers, Online Courses, Accuracy
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Adrian, Daniel; Reischman, Diann; Anderson, Kirk; Richardson, Mary; Stephenson, Paul – Journal of Statistics Education, 2020
Maps are a primary method of displaying statistical data that comes from a geographical frame. Maps are esthetically appealing and make it easier to identify geographic patterns in a dataset. However, few introductory statistical texts and courses explicitly present maps as a way to display data. In this article, we will present examples of…
Descriptors: Statistics, Teaching Methods, Introductory Courses, Maps
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Jimerson, Jo Beth; Cho, Vincent; Scroggins, Kimberly A.; Balial, Ritu; Robinson, Reginald R. – Educational Studies, 2019
Just as accountability policies have led to increased levels of teacher data use, teachers have begun to increase the extent to which students track and analyse data about their own learning. Although some might argue that such "student-involved data use" (SIDU) might empower or motivate students to take charge of their own learning…
Descriptors: Data Use, Data Analysis, Teacher Guidance, Elementary School Teachers
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du Boulay, Benedict – British Journal of Educational Technology, 2019
Intelligent Tutoring systems (ITSs) and Intelligent Learning Environments (ILEs) have been developed and evaluated over the last 40 years. Recent meta-analyses show that they perform well enough to act as effective classroom assistants under the guidance of a human teacher. Despite this success, they have been criticised as embodying a retrograde…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Meta Analysis, Artificial Intelligence
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Odom, Arthur – Science Teacher, 2022
This article provides two activities, exploring genetic drift of small breeding populations, highlighting the black-footed ferret ("Mustela nigripes"). According to the U.S. Fish and Wildlife service, all black-footed ferrets are descended from 18 individuals, making them extremely vulnerable to genetic drift. They were thought to be…
Descriptors: Genetics, Mathematical Models, Biodiversity, Evolution
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Talan, Tarik; Kalinkara, Yusuf – International Society for Technology, Education, and Science, 2022
With the rapid development of science and technology in recent years, the application areas of fuzzy logic have also gained speed. Fuzzy logic is a frequently preferred approach in the educational process, and it can be said that scientific publications on this topic have recently gained momentum in the literature. In this context, the present…
Descriptors: Databases, Research Reports, Foreign Countries, Universities
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Curley, Brenna; Peterson, Anna – Journal of Statistics and Data Science Education, 2022
In this article, we outline several activities revolving around soccer players who participated in the 2018 FIFA World Cup and 2019 FIFA Women's World Cup. Classroom activities are described from different perspectives, useful for a range of different statistics courses. In a first semester probability theory course, students investigate the…
Descriptors: Team Sports, Competition, Teaching Methods, Data Analysis
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Rea, Stephen C. – Information and Learning Sciences, 2022
Purpose: This paper aims to offer practical guidance on teaching about digital extremism -- defined here as the intersection of digital disinformation campaigns with political extremism -- by highlighting four pedagogical challenges: the danger of unintentionally "redpilling" students; the slippery slope to false equivalency and…
Descriptors: Information Technology, Antisocial Behavior, Political Attitudes, Deception
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Satake, Yoshiho – Research-publishing.net, 2022
This study explores the effectiveness of Data-Driven Learning (DDL) approach to second-language (L2) English vocabulary learning in on-demand online distance learning at a private university in Tokyo, Japan. The participants were 49 Japanese undergraduates, intermediate L2 English learners at the B1 level in the Common European Framework of…
Descriptors: English (Second Language), Second Language Learning, Vocabulary Development, Undergraduate Students
Almatrafi, Omaima – ProQuest LLC, 2018
A Massive Open Online Course (MOOC) is a course that is offered fully online and is usually open for enrollment by any individual, with no limit on the number of participants. MOOCs are a popular resource for learning worldwide with over 23 million new learners registering for MOOCs in 2017 alone. Coursera, the most popular MOOC platform, has…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
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Muhammet Mustafa Alpaslan; Bugrahan Yalvac – Journal of Problem Based Learning in Higher Education, 2023
Climate change put most species' survival in danger because it substantially affects the climate in which the species live, the quality of the water they drink, as well as the temperature of the air or water. When climate change increases the temperature of the climate, excessive evaporation occurs in lands, lakes, seas, and oceans. Our purpose in…
Descriptors: Problem Based Learning, Teaching Methods, Mathematics Instruction, Mathematical Models
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Bargagliotti, Anna; Arnold, Pip; Franklin, Chris – Mathematics Teacher: Learning and Teaching PK-12, 2021
In this article, the authors introduce the "Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II): A Framework for Statistics and Data Science Education" report. This report, which was published by the American Statistical Association (ASA) and endorsed by the National Council of Teachers of Mathematics…
Descriptors: Preschool Education, Kindergarten, Elementary Secondary Education, Guidelines
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