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Curtin, Susan; DeJong, David; Robinson, Derrick; Card, Karen; Campoli, Ayana – Voices of Reform, 2020
This study explores the methodology presented in four leading educational leadership journals for a period of three years to investigate the predominant methodologies reported in journals most read by faculty members in educational administration or leadership programs. This content analysis study uses frequency and percentages to gather data on…
Descriptors: Research Methodology, Periodicals, Educational Administration, Journal Articles
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Charitopoulos, Angelos; Rangoussi, Maria; Koulouriotis, Dimitrios – International Journal of Artificial Intelligence in Education, 2020
The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data 'mined' mainly from interactive/e-learning systems. Such systems are known to generate and store large volumes of data that can be exploited to assess the learner, the system…
Descriptors: Data Collection, Learning Analytics, Educational Research, Artificial Intelligence
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Olsen, Jennifer K.; Sharma, Kshitij; Rummel, Nikol; Aleven, Vincent – British Journal of Educational Technology, 2020
The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined…
Descriptors: Cooperative Learning, Learning Analytics, Data Use, Data Collection
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Terrell, Jenna Howard; Henrich, Christopher C.; Nabors, Amanda; Grogan, Kathryn; McCrary, Joseph – Contemporary School Psychology, 2020
This paper describes how a partnership between a large, urban school district and researchers resulted in a process to measure school climate and support schools and the district in school safety efforts. The partnership utilized a comprehensive framework of safe and supportive schools, where constructs such as physical safety and security were…
Descriptors: School Safety, Urban Schools, School Districts, Partnerships in Education
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Katz-Buonincontro, Jen; Anderson, Ross C. – Journal of Creative Behavior, 2020
This paper reports on an integrative literature review of published articles that used either quantitative or qualitative observation methods to research creativity in learning contexts. Observation is an empirical research method used in quantitative and qualitative naturalistic studies focused on understanding behavior and interactions as they…
Descriptors: Educational Research, Research Methodology, Qualitative Research, Statistical Analysis
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Baird, Kate; Coy, Stephanie – Science and Children, 2020
In this article the authors describe a model that starts from the basics of the OWL (observe, wonder, learn) large-group discussion strategy then moves onto new experiences that serve as the jumping off point for student-generated questions and investigations. The OWL version of a KWL (Know-Want to Know-Learn) process becomes a path to language…
Descriptors: Science Instruction, Inquiry, Teaching Methods, Models
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Bohanon, Hank S.; Wu, Meng-Jia – International Journal of Developmental Disabilities, 2020
Including students with disabilities requires schoolwide interventions that are implemented with fidelity (adherence). Collection of fidelity data may become problematic when multiple evidence-based treatments exist in one setting. To address concerns around efficiency of data collection, this study hypothesized that the three sampling approaches…
Descriptors: Inclusion, Students with Disabilities, Program Implementation, Fidelity
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Renz, André; Hilbig, Romy – International Journal of Educational Technology in Higher Education, 2020
The ongoing datafication of our social reality has resulted in the emergence of new data-based business models. This development is also reflected in the education market. An increasing number of educational technology (EdTech) companies are entering the traditional education market with data-based teaching and learning solutions, and they are…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Data Collection
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François, Karen; Coessens, Kathleen; Vinckier, Nigel; Van Bendegem, Jean Paul – Journal of Philosophy of Education, 2020
This paper investigates the impact of publication pressure on the ethics and the scientific integrity in the domain of mathematics and of the arts. Both research fields are specific in their methodology, being that they do not start from a classical hypothesis and researchers in these areas are not knowing what the outcome will be. The research…
Descriptors: Stress Variables, Writing for Publication, Ethics, Integrity
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Jia, Weichen; Peng, Jun; Cai, Na – Knowledge Management & E-Learning, 2020
Citespace, a visualization-based analysis tool, has been used to analyze the literature data by visualizing the patterns and potential trends of a field. Previous studies show that when used for analyzing the literature in Chinese, Citespace could only conduct very basic analysis, different from its use in analyzing the literature data in English.…
Descriptors: Visualization, Data Analysis, Trend Analysis, Chinese
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Badia, Giovanna – New Review of Academic Librarianship, 2020
Multiple data collection or research methods exist for evaluating library spaces. Faced with numerous choices and limited time for gathering data, it becomes challenging for information professionals to determine the best way to proceed with evaluating their libraries' physical spaces. There is a gap in the literature on best practices for…
Descriptors: Academic Libraries, Data Collection, Evaluation Methods, Best Practices
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Bartholomew, Scott R.; McGraw, Tim; Fauber, Daphne; Charlesworth, Jon; Weitlauf, John – Technology and Engineering Teacher, 2020
Technological advances, artificial intelligence innovations, and widespread computing have all combined to necessitate a new generation of knowledge workers where data becomes a ubiquitous part of decision making (Sutton, 2006). Teaching today's students through the application of this "new" knowledge to long-established fields…
Descriptors: Sanitation, Water, Agriculture, High School Students
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Sabaityte, Jolanta; Davidaviciene, Vida; Karpoviciute, Roberta – World Journal on Educational Technology: Current Issues, 2020
For a competitive organisation, it is important to invest in employee's education to keep their knowledge up to date and ensure continuous growth in terms of employees' competence and skills. Continuous learning is considered as one of the success factors for the organisation, since this ensures constant growth of employees' competence that…
Descriptors: Data Analysis, Data Collection, Professional Continuing Education, Competence
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Rubleske, Joseph; Fletcher, Travis; Westerfeld, Brett – Journal of Instructional Pedagogies, 2020
Electronic sports (e-sports) can be defined as digital games played competitively for an audience (Hodge et al., 2017). With a global consumer base of roughly 450 million people and projected 2019 revenues of US$1.1 billion, the e-sports industry continues to grow (Pannekeet, 2019). Behind this growth is a thriving ecosystem which includes…
Descriptors: Computer Games, Athletics, Data Collection, Data Analysis
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Ponomarenko, Alexey N.; Svirina, Ekaterina M. – Statistics Education Research Journal, 2020
Typically, training in Russia for professionals includes school, university, and postgraduate education. People make their choice regarding university or job after school, and they choose jobs after university. These are very sensitive matters. Help in making the right choice is a real asset. The Russian Association of Statisticians (RASt) is an…
Descriptors: Foreign Countries, Statistics, Mathematics Education, Professional Associations
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