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Sarafoglou, Alexandra; van der Heijden, Anna; Draws, Tim; Cornelisse, Joran; Wagenmakers, Eric-Jan; Marsman, Maarten – Psychology Learning and Teaching, 2022
Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data and to answer concrete statistical questions, but also by educating them about alternative frameworks, such as Bayesian inference. In this article, we describe how we…
Descriptors: Bayesian Statistics, Thinking Skills, Undergraduate Students, Psychology
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Phan, Vinhthuy; Wright, Laura; Decent, Bridgette – Journal of Educational Data Mining, 2022
The allocation of merit-based awards and need-based aid is important to both universities and students who wish to attend the universities. Current approaches tend to consider only institution-centric objectives (e.g. enrollment, revenue) and neglect student-centric objectives in their formulations of the problem. There is lack of consideration to…
Descriptors: Student Financial Aid, Access to Education, Merit Scholarships, Artificial Intelligence
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Radovilsky, Zinovy; Hegde, Vishwanath – Journal of Information Systems Education, 2022
Data Mining (DM) is one of the most offered courses in data analytics education. However, the design and delivery of DM courses present a number of challenges and issues that stem from the DM's interdisciplinary nature and the industry expectations to generate a broader range of skills from the analytics programs. In this research, we identified…
Descriptors: Data Analysis, Statistics Education, Graduate Students, Barriers
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Shapiro, Ben Rydal; Meng, Amanda; Rothschild, Annabel; Gilliam, Sierra; Garrett, Cicely; DiSalvo, Carl; DiSalvo, Betsy – Educational Technology & Society, 2022
Informed by critical data literacy efforts to promote social justice, this paper uses qualitative methods and data collected during two years of workplace ethnography to characterize the notion of critical novice data work. Specifically, we analyze everyday language used by novice data workers at DataWorks, an organization that trains and employs…
Descriptors: Data Analysis, Visual Aids, Novices, Work Environment
Krog, Hannah Anderson, Ed. – Bernan Press, 2022
This completely updated edition of "The Almanac of American Education" helps users understand and compare the quality of education at the national, state, and county levels. Compiled from official U.S. government sources, this book contains historical and current data, insightful analysis, and useful graphs that provide compelling…
Descriptors: Educational Quality, Geographic Location, Educational History, Data Analysis
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Egan, Laura; Tang, Judy H.; Ferraro, David; Erberber, Ebru; Tsokodayi, Yemurai; Stearns, Pat – National Center for Education Statistics, 2022
Trends in International Mathematics and Science Study (TIMSS) is an international comparative study designed to measure trends in mathematics and science achievement at grades 4 and 8, as well as to collect information about educational contexts (such as students' schools, teachers, and homes) that may be related to student achievement. TIMSS has…
Descriptors: Achievement Tests, Mathematics Achievement, International Assessment, Foreign Countries
Tammy Kolbe; Elizabeth Dhuey; Sara Menlove Doutre – Annenberg Institute for School Reform at Brown University, 2022
The formula used to allocate federal funding for state and local special education programs is one of the Individual with Disabilities Act's most critical components. The formula not only serves as the primary mechanism for dividing available federal dollars among states, it also represents policymakers' intent to equalize educational…
Descriptors: Disability Discrimination, Educational Discrimination, Resource Allocation, Financial Support
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Dong, Tianxi; Triche, Jason – Journal of Information Systems Education, 2020
The explosive growth of the data analytics field has continued over the past decade with no signs of slowing down. Given the fast pace of technology changes and the need for IT professionals to constantly keep up with the field, it is important to analyze the job skills and knowledge required in the data analyst and business intelligence (BI)…
Descriptors: Job Skills, Data Analysis, Information Technology, Job Applicants
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Arnold, Karen D.; Owen, Laura; Lewis, Jonathan – Journal of College Access, 2020
Making college access and success more equitable at a national scale requires alternatives to intensive in-person modes of pre-college advising. Text-message advising campaigns are a promising intervention model for delivering college application and financial aid assistance affordably to large populations of college-intending, low-income…
Descriptors: Academic Advising, Telecommunications, Handheld Devices, College Bound Students
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Broos, Tom; Pinxten, Maarten; Delporte, Margaux; Verbert, Katrien; De Laet, Tinne – Assessment & Evaluation in Higher Education, 2020
In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey…
Descriptors: Data Analysis, Learning Analytics, Dropout Prevention, Student Experience
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Casarosa, Vittore; Ruggieri, Salvatore; Salvatori, Enrica; Simi, Maria; Turbanti, Simona – Education for Information, 2020
Interdisciplinarity is becoming increasingly important in education. With the rapidly evolving job market, an interdisciplinary education can prepare students for the flexibility and broad knowledge base required to adapt. At the University of Pisa, we recognized the value of an interdisciplinary educational environment during our participation in…
Descriptors: Universities, Information Science Education, Barriers, Masters Programs
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Zane, Len – Honors in Practice, 2020
Many of the numbers used to assess students are statistical in nature. The theoretical context underlying the production of a typical number or statistic used in student assessment is presented. The author urges readers to recognize objective data as subjective information and to carefully consider the numbers that often determine admission,…
Descriptors: Student Evaluation, Statistical Analysis, Honors Curriculum, Admission Criteria
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Kwet, Michael; Prinsloo, Paul – Teaching in Higher Education, 2020
This article examines developments in the 'smart classroom' as a new frontier for the university. It provides a conceptual map of the scope and limitations of smart classrooms, contextualized to smart university initiatives. First, it introduces the notion of 'smart' technology in cities, campuses, and classrooms. Next, it examines how the smart…
Descriptors: Educational Technology, Classroom Environment, Educational Equipment, College Environment
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Harrison, Michaela J.; Davies, C.; Bell, H.; Goodley, C.; Fox, S.; Downing, B. – Teaching in Higher Education, 2020
That compulsory education is datafied is widely acknowledged. A significant body of literature illuminates the policy context and technologies that have given rise to what we now call datafication. Less research has focussed on the consequences of datafication on teachers and learners. In this paper, we offer a unique perspective of these…
Descriptors: Masters Programs, Data Analysis, Teacher Qualifications, Experienced Teachers
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Heffernan, Troy A.; Maxwell, Jacinta – Discourse: Studies in the Cultural Politics of Education, 2020
Since 2007, 'Closing the Gap' between Indigenous and non-Indigenous people has been an ambition of Australian state and federal governments in areas including education, employment, and health. This paper examines media responses to government policies aimed at closing the achievement gap in schools. The paper analyses print and online newspaper…
Descriptors: News Reporting, Academic Achievement, Achievement Gap, Web Sites
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