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Groth, Randall E.; Bergner, Jennifer A.; Austin, Jathan W.; Burgess, Claudia R.; Holdai, Veera – Mathematics Teacher Educator, 2020
Undergraduate research is increasingly prevalent in many fields of study, but it is not yet widespread in mathematics education. We argue that expanding undergraduate research opportunities in mathematics education would be beneficial to the field. Such opportunities can be impactful as either extracurricular or course-embedded experiences. To…
Descriptors: Student Research, Undergraduate Students, Mathematics Education, Data Use
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Algers, Anne – Technology, Knowledge and Learning, 2020
The use of open textbooks in universities is according to some organisations changing the higher education landscape and is promising for the mainstream adoption of OER. The aim of this paper is to analyse authors' views of agency and empowerment when they plan, create and reflect on their open textbooks, their teaching and students' learning.…
Descriptors: Universities, Textbooks, Open Educational Resources, Teacher Attitudes
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Lee, Hansol; Warschauer, Mark; Lee, Jang Ho – Modern Language Journal, 2020
We investigated how learner factors, such as vocabulary proficiency, strategy use, and working memory, are associated with successful corpus-based second language (L2) vocabulary learning, in which learners are encouraged to analyze and explore large, structured collections of authentic language data (i.e., corpora) to resolve their lexical issues…
Descriptors: Second Language Learning, Vocabulary Development, Language Proficiency, Learning Strategies
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Marachi, Roxana; Quill, Lawrence – Teaching in Higher Education, 2020
The Canvas Learning Management System (LMS) is used in thousands of universities across the United States and internationally, with a strong and growing presence in K-12 and higher education markets. Analyzing the development of the Canvas LMS, we examine 1) 'frictionless' data transitions that bridge K12, higher education, and workforce data 2)…
Descriptors: Management Systems, Longitudinal Studies, Data Analysis, Higher Education
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Lundahl, Christian; Serder, Margareta – Nordic Journal of Studies in Educational Policy, 2020
Two separate data searches underlie this analysis of how references to educational research and to PISA are used in the Swedish education debate. The data consist of 380 newspaper articles from the eight largest print media outlets in Sweden and 200 protocols from parliamentary debates (2000 to 2016) that made explicit reference to 'PISA' and/or…
Descriptors: International Assessment, Secondary School Students, Foreign Countries, Achievement Tests
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Troia, Gary A.; Brehmer, Julie S.; Glause, Kaitlin; Reichmuth, Heather L.; Lawrence, Frank – Education Sciences, 2020
Data were collected for this study early in the school year to analyze the direct and indirect effects of word-level literacy skills (word recognition, spelling, and written vocabulary use) and handwriting fluency on writing quality across three genres of typewritten papers. We further explored whether typing fluency and text generation fluency…
Descriptors: Literacy, Achievement Tests, Writing Ability, Language Tests
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Garvey, Jason C. – Journal of College Student Retention: Research, Theory & Practice, 2020
The dearth of retention scholarship that centers (or includes) queer and trans (QT) students has resulted in inadequately capturing the nuanced dimensions of student retention. As a scholarly community, we are at a critical juncture where it is academically, administratively, and morally necessary to reexamine assumptions about retention to better…
Descriptors: LGBTQ People, Undergraduate Students, Academic Persistence, School Holding Power
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Lee, Hollylynne S.; Mojica, Gemma F.; Lovett, Jennifer N. – Online Learning, 2020
With online learning becoming a more viable option for teachers to develop their expertise, our report shares one such effort focused on improving the teaching of statistics. We share design principles and learning opportunities in an online course developed specifically to serve as a widescale online professional development opportunity for…
Descriptors: Professional Development, Beliefs, Statistics, Mathematics Instruction
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Goren, Heela; Yemini, Miri; Maxwell, Claire; Blumenfeld-Lieberthal, Efrat – Review of Research in Education, 2020
This chapter presents an innovative, cross-disciplinary methodological approach to systematically reviewing and comparing large bodies of literature using big data, Natural Language Processing, network analysis, and supplementary qualitative analysis. The approach is demonstrated through an analysis of the literature surrounding four common…
Descriptors: Educational Research, Scholarship, Literature Reviews, Research Methodology
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Kemper, Lorenz; Vorhoff, Gerrit; Wigger, Berthold U. – European Journal of Higher Education, 2020
We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…
Descriptors: Foreign Countries, Predictor Variables, Potential Dropouts, School Holding Power
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Fernández, María Soledad; Pomilio, Carlos; Cueto, Gerardo; Filloy, Julieta; Gonzalez-Arzac, Adelia; Lois-Milevicich, Jimena; Pérez, Adriana – Statistics Education Research Journal, 2020
Though statistics is covered in secondary-school curricula, it is usually limited to few lessons and mainly taught in a procedural approach. There seems to be a gap between the education of mathematics teachers and the demands on their practice. Learning statistics from a mathematical perspective does not qualify to teach the subject properly.…
Descriptors: Skill Development, Statistics, Workshops, Preservice Teachers
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Provasnik, Stephen; Dogan, Enis; Erberber, Ebru; Zheng, Xiaying – National Center for Education Statistics, 2020
Large-scale assessment programs, such as the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS), employ item response theory (IRT) and marginal estimation methods to estimate student proficiency in specific subjects such as mathematics, science, or reading. Each of these…
Descriptors: Student Evaluation, Evaluation Methods, Academic Achievement, Item Response Theory
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Klose, Mark; Desai, Vasvi; Song, Yang; Gehringer, Edward – International Educational Data Mining Society, 2020
Imagine a student using an intelligent tutoring system. A researcher records the correctness and time of each of your attempts at solving a math problem, nothing more. With no names, no birth dates, no connections to the school, you would think it impossible to track the answers back to the class. Yet, class sections have been identified with no…
Descriptors: Privacy, Learning Analytics, Data Collection, Information Storage
Comly, Rachel; Fontana, Jason; Shaw-Amoah, Anna – Research for Action, 2020
As many districts in Pennsylvania pivot to hybrid or virtual models of education in response to Covid-19, it is hard to think about what "attendance" means or how to track it. Yet attendance is more important than ever. Students need to stay engaged to continue their learning and to access the myriad supports that districts are offering.…
Descriptors: Attendance, Attendance Patterns, Truancy, Educational Strategies
Sara Oloomi – Program for the International Assessment of Adult Competencies, 2020
This study aims to explore the extent of intergenerational social mobility in the United States for the population as a whole, as well as differentiated by gender and race/ethnicity. Study of intergenerational social mobility is important because it shows whether individuals can prosper in a society regardless of their socioeconomic background, as…
Descriptors: Educational Attainment, Parent Background, Child Development, Outcomes of Education
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