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Choi, Sangdo – Decision Sciences Journal of Innovative Education, 2019
Operations and Supply Chain Management (OSCM) courses may cover supply chain strategies, supply chain classification, and supply chain performance. Familiarity with various manufacturing and logistics firms would help students to better understand such topics. Information on the Dow Jones Industrial Average indexed firms and top 50 supply chain…
Descriptors: Supply and Demand, Business Administration Education, Industry, Classification
Roller, Sarah A.; Cunningham, Elizabeth P.; Marin, Katherine Ariemma – Teaching Children Mathematics, 2019
Photographs offer teachers a way to collect and explore student work that might other wise go unnoticed or minimally examined. A teacher might use photographs to analyze students' strategies and work to promote future instructional practices that result in higher student achievement. As a tool, photographs document student understanding and…
Descriptors: Photography, Student Evaluation, Formative Evaluation, Data Collection
Irfan, Rabia; Khan, Sharifullah; Abbas, Muhammad Azeem; Shah, Asad Ali – Information Research: An International Electronic Journal, 2019
Introduction. Taxonomy is an effective mean of managing and accessing a large amount of digital information. Various techniques have been developed to generate taxonomy automatically. The purpose of this study is threefold: (i) review methods and approaches adopted during taxonomy generation, (ii) identify the factors influencing the choice of a…
Descriptors: Literature Reviews, Taxonomy, Semantics, Natural Language Processing
Ellis, Gary D.; Taggart, Allen; Lepley, Toby; Lacanienta, Andrew – Journal of Extension, 2019
We describe a process for construction and use of a "dashboard" for monitoring the quality of in-person nonformal education programs. We followed the process to develop a 4-H special interest (SPIN) club dashboard, but the steps are applicable to any education program that includes instruction over multiple sessions. The dashboard…
Descriptors: Extension Education, Nonformal Education, Program Evaluation, Program Effectiveness
Kayleigh K. Hyde; Marlena N. Novack; Nicholas LaHaye; Chelsea Parlett-Pelleriti; Raymond Anden; Dennis R. Dixon; Erik Linstead – Review Journal of Autism and Developmental Disorders, 2019
Autism spectrum disorder (ASD) research has yet to leverage "big data" on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. Indeed, there has been a notable increase in research literature evaluating the effectiveness of machine learning for diagnosing…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Clinical Diagnosis, Intervention
Erbas, Cagdas; Atherton, Stephen – Journal of Learning and Teaching in Digital Age, 2020
Augmented reality is one of the state-of-the-art technologies, which is utilised for educational purposes, in a wide variety of fields. Each year the frequency of academic publications on augmented reality use in education has increased. This study aims to study content analysis of augmented reality studies, used for educational purposes,…
Descriptors: Content Analysis, Computer Simulation, Educational Technology, Literature Reviews
Kardes, Servet – International Journal of Progressive Education, 2020
The purpose of this study is to examine the abstracts in 6th International Preschool Education Congress abstract book in terms of research subject, method, model, sample type, data collection tools, data analysis techniques, validity and reliability. This study is a qualitative study and was conducted using document analysis, which is one of the…
Descriptors: Preschool Education, Educational Research, Research Methodology, Data Collection
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
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
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
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
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
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
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
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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