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Frank Stinar; Zihan Xiong; Nigel Bosch – Journal of Educational Data Mining, 2024
Educational data mining has allowed for large improvements in educational outcomes and understanding of educational processes. However, there remains a constant tension between educational data mining advances and protecting student privacy while using educational datasets. Publicly available datasets have facilitated numerous research projects…
Descriptors: Foreign Countries, College Students, Secondary School Students, Data Collection
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Greenhalgh, Spencer P.; DiGiacomo, Daniela K.; Barriage, Sarah – Information and Learning Sciences, 2023
Purpose: The purpose of this paper is to examine how higher education students think about educational technologies they have previously used -- and the implications of this understanding for their awareness of datafication and privacy issues in a postsecondary context. Design/methodology/approach: The authors conducted two surveys about students'…
Descriptors: Ethics, Privacy, Learning Management Systems, Learning Analytics
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Baah, Eric Adjei – Waikato Journal of Education, 2022
In this article, I present how I navigated unexpected apprehension that I faced while communicating with teacher participants during my PhD data collection (via interviews, observations and document study). I mediated the apprehension by strategies such as disclosing my teacher identity, expressing an interest in their practice and assuring them…
Descriptors: Data Collection, Research Problems, Interpersonal Relationship, Foreign Countries
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Ho, Stephanie – LEARNing Landscapes, 2023
During a two-term observational study of my Secondary English Language Arts (ELA) class, I introduced "Surrealism" to the existing curriculum. Jot notes, personal interviews, and a self-study comprised my data strands. The COVID-19 pandemic struck shortly before my scheduled in-person interviews. This uncertainty disrupted my doctoral…
Descriptors: Interviews, COVID-19, Pandemics, Videoconferencing
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Arndt, Henriette; Rose, Heath – International Journal of Research & Method in Education, 2023
Diary methods have long been used as pedagogic tools in learning, and as part of reflective practice in teacher education, but less often as data collection instruments in educational research. This is in part due to implementation challenges emerging from the time and literacy demands they place on participants. To illustrate the use of diary…
Descriptors: Educational Research, Data Collection, Diaries, Research Methodology
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Saar, Merike; Prieto, Luis P.; Rodríguez Triana, María Jesús – Technology, Pedagogy and Education, 2022
Research indicates that data-informed practice helps teachers change their teaching and promotes teacher professional development (TPD). Although educational data are often collected from digital spaces, in-action evidence from physical spaces is seldom gathered, providing an incomplete view of the classroom reality. Also, most learning analytics…
Descriptors: Data Collection, Data Use, Teaching Methods, Faculty Development
Sanchez, Irene M. – National College Attainment Network, 2021
Text Steps was a project piloted by Ascendium Education Group in 2015 and expanded to 13 school districts in Wisconsin between 2018 and 2020. Its goal was to combat summer melt through a texting program. Summer melt, in which college-intending high school students are unable to enroll in the fall for any number of reasons, is a well-documented…
Descriptors: Summer Programs, Access to Education, High School Students, College Attendance
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Carla Morais; Jose´ L. Arau´jo – Journal of Chemical Education, 2023
In the laboratory, data acquisition systems are important, as they allow us to easily and precisely collect data. In this sense, Arduino emerges as an automatic data acquisition device with great potential, due to its low cost and high versatility. In this work, we describe the development of an experimental apparatus, with automatic data…
Descriptors: Chemistry, Science Instruction, Preservice Teachers, Science Teachers
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Alturki, Sarah; Alturki, Nazik; Stuckenschmidt, Heiner – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students' academic achievement early using Educational Data Mining (EDM). This study aims to predict students' final grades and identify honorary students at…
Descriptors: Data Collection, Data Analysis, Grade Prediction, Academic Achievement
National College Attainment Network, 2021
Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…
Descriptors: College Programs, Success, Data Collection, Data Analysis
Hoffman, Nancy; O'Connor, Anna; Mawhinney, Joanna – Jobs for the Future, 2022
The purpose of this brief is to provide school-level examples of how early college practitioners are collecting and using data to improve their practices. Examples three and four are school-level data from two early college partnerships: the MetroWest CPC (Framingham, Milford, Waltham), and Lawrence. The brief begins, however, with the national…
Descriptors: College School Cooperation, Partnerships in Education, High Schools, Universities
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Pearce, Erin; Brock, Jesse; Bunch, Phillis – Journal of Educational Research and Practice, 2022
Pre-service teachers (PSTs) often lack the self-efficacy necessary to effectively implement STEM education into their classrooms. Undergraduate research experiences (URE) can help fill this void by providing opportunities for PSTs to engage with STEM content and K-12 students in a field-based research context. This case study details the impact a…
Descriptors: Preservice Teachers, Student Attitudes, Self Efficacy, STEM Education
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Zinth, Jennifer; Taylor, Jason L. – New Directions for Institutional Research, 2019
Dual enrollment is a complex policy issue and is increasingly of interest to state policymakers. Adequate data and data systems are critical to informing dual enrollment policy, yet the data at the federal level and many state data systems suffer from common challenges and lack the capacity to address dual enrollment policy. We review the…
Descriptors: Dual Enrollment, Educational Policy, State Policy, Data Collection
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Haara, Frode Olav – European Journal of Science and Mathematics Education, 2022
This article reports on how a pedagogical entrepreneurship approach combined with fundamental elements of mathematical modelling may be used to strengthen students' development of mathematical literacy in upper primary school. This is done first through a review of the relationship between pedagogical entrepreneurship in mathematics, mathematical…
Descriptors: Mathematical Models, Entrepreneurship, Mathematics Instruction, Knowledge Level
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Knutson, Cassandra M.; Hilker, Abby P.; Tolstyka, Zachary P.; Anderson, Constance B.; Wilbon, Perry A.; Mathers, Robert T.; Wentzel, Michael T.; Perkins, Angela L.; Wissinger, Jane E. – Journal of Chemical Education, 2019
A versatile experiment is described for the high school and college laboratory setting based on the synthesis of biobased polymers prepared from inexpensive, renewable, and nonhazardous chemicals. Combinations of readily available citric acid, glycerol, and tapioca root starch are used to prepare three polymeric materials with different observable…
Descriptors: Secondary School Science, College Science, Chemistry, Science Experiments
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