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Benita, Francisco; Virupaksha, Darshan; Wilhelm, Erik; Tunçer, Bige – Smart Learning Environments, 2021
This paper proposes an Internet of Things device (IoT)-based ecosystem that can be leveraged to provide children and adolescent students with STEM educational activities. Our framework is general and scalable, covering multi-stakeholder partnerships, learning outcomes, educational program design and technical architecture. We highlight the…
Descriptors: Data Use, STEM Education, Technology Integration, Internet
Lustick, Hilary – International Journal of Qualitative Studies in Education (QSE), 2021
Qualitative training rarely acknowledges the role of emotions in both data collection and analysis. While bracketing emotions is an important part of reflexivity, emotions are both a source of data and a source of 'work' (Hochschild, 1983). Accordingly, mentoring junior qualitative scholars also requires emotion work. Issues of race, gender, and…
Descriptors: Qualitative Research, Psychological Patterns, Data, Coding
Yang, Tzu-Chi; Liu, Yih-Lan; Wang, Li-Chun – Educational Technology & Society, 2021
The recently increased importance of practicing precision education has attracted much attention. To better understand students' learning and the relationship between their individual differences and learning outcomes, the bird-eye view possible for educational policymakers and stakeholders from educational data mining and institutional research…
Descriptors: Institutional Research, Prediction, Learning Analytics, Undergraduate Students
LeBeau, Brandon; Ellison, Scott; Aloe, Ariel M. – Review of Research in Education, 2021
A reproducible analysis is one in which an independent entity, using the same data and the same statistical code, would obtain the exact same result as the previous analyst. Reproducible analyses utilize script-based analyses and open data to aid in the reproduction of the analysis. A reproducible analysis does not ensure the same results are…
Descriptors: Educational Research, Replication (Evaluation), Data Analysis, Evaluation Methods
Schelling, Natalie; Rubenstein, Lisa DaVia – Educational Assessment, Evaluation and Accountability, 2021
Data-driven decision-making (DDDM) refers to the process of using data to inform educational decisions. Due to DDDM's positive effects on student achievement and the pressure for educational accountability, DDDM has become a recent focus of numerous educational policies. However, few teachers fully utilize DDDM. While, broadly, DDDM may use…
Descriptors: Elementary School Teachers, Teacher Attitudes, Data Use, Decision Making
Krochmal, Patrick; Cooper, Dan M.; Radom-Aizik, Shlomit; Lu, Kim D. – Journal of School Health, 2021
Background: Low physical fitness (PF) levels during childhood affect healthy growth and development, and increase the risk of cardiovascular diseases. Physical education standards exist for nearly all states in the United States, but evaluation of PF in youth has yet to be systematic, reproducible, and harmonized. The purpose of this project was…
Descriptors: Physical Fitness, Physical Education, Tests, State Standards
Done, Elizabeth J.; Knowler, Helen – British Educational Research Journal, 2021
This article reports an unprecedented exploratory small-scale investigation of the views of senior school leaders in southwest England relating to 'off-rolling' (illegal exclusionary practices). 'Off-rolling' is conceptualised as a policy technology, however, the conceptual framework used in data analysis derives from Foucault's treatment of power…
Descriptors: Foreign Countries, Inclusion, Educational Practices, Power Structure
Prat, Alain; Code, Warren J. – International Journal of Mathematical Education in Science and Technology, 2021
The online homework system WeBWorK has been successfully used at several hundred colleges and universities. Despite its popularity, the WeBWorK system does not provide detailed metrics of student performance to instructors. In this article, we illustrate how an analysis of the log files of the WeBWorK system can provide information such as the…
Descriptors: Data Analysis, Homework, Student Behavior, Educational Technology
Ünal, Suat; Benzer, Ali Ihsan – International Journal of Progressive Education, 2021
The models and modelling takes an important place in the teaching of science. The purpose of this research was to examine the postgraduate theses made in Turkey about models and modelling in the science education field by using the content analysis method. When the postgraduate theses were examined in respect to the purpose of the research, it has…
Descriptors: Foreign Countries, Masters Theses, Doctoral Dissertations, Science Education
Hammerschmidt-Snidarich, Stephanie M.; Wagner, Dana; Parker, David C.; Wagner, Kyle – Assessment for Effective Intervention, 2021
This study examined reading tutors' interpretation of reading progress-monitoring graphs. A think-aloud procedure was used to evaluate tutors at two points in time, before and after a year of service as an AmeriCorps reading tutor. During their service, the reading tutors received extensive training and ongoing coaching. Descriptive results showed…
Descriptors: Reading Instruction, Tutors, Progress Monitoring, Graphs
Gilman Ranogajec, Mirna; Badurina, Boris – Education for Information, 2021
In today's Information society it is an everyday scenario to be a part of an online community such as social media. Participation has become almost mandatory to the point of acting as a virtual extremity to one's physical environment. This virtual extremity is the individual's window to the outside world and vice versa. The process of being a part…
Descriptors: Confidence Testing, Social Media, Information Security, Privacy
Boyd, Austin T.; Rocconi, Louis M. – Practical Assessment, Research & Evaluation, 2021
Social Network Analysis (SNA) is a statistical method used to analyze the social structure and interactions among individuals within a network. SNA is used extensively in a number of disciplines such as sociology, geography, and communications research. However, the use of SNA by practitioners and researchers in assessment and evaluation is much…
Descriptors: Social Networks, Network Analysis, Data Analysis, Social Science Research
Braun, Virginia; Clarke, Victoria; Boulton, Elicia; Davey, Louise; McEvoy, Charlotte – International Journal of Social Research Methodology, 2021
Fully "qualitative" surveys, which prioritise qualitative research values, and harness the rich potential of qualitative data, have much to offer qualitative researchers, especially given online delivery options. Yet the method remains underutilised, and there is little in the way of methodological discussion of qualitative surveys.…
Descriptors: Online Surveys, Qualitative Research, Social Science Research, Disclosure
Sivakumar, Vineetha – Sociological Methods & Research, 2021
This article is developed from the contents from one of the chapters the researcher has written as part of her PhD thesis. It discusses various methodological challenges the researcher had to face during the phase of data collection in the prisons of Kerala, India, and the strategies adopted to overcome these challenges. This article is intended…
Descriptors: Correctional Institutions, Research Methodology, Data Collection, Qualitative Research
Mojica, Gemma F.; Barker, Heather; Azmy, Christina N.; Lee, Hollylynne S. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
In this study, we investigated how sixth and seventh grade students used CODAP to make sense of roller coaster data while engaged in Exploratory Data Analysis (EDA). Using instrumentation theory, we examined students' instrumentation approaches, as well as the types of instrumental orchestration utilized by teachers as they interacted with student…
Descriptors: Grade 6, Grade 7, Middle School Students, Data Analysis

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