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Stolz, Jörg; Lindemann, Anaïd – Journal of Mixed Methods Research, 2020
Despite tremendous interest in social games and game studies, the potential of game heuristics for the field of mixed methods remains unknown. This article introduces game heuristics to mixed methods research, showing how it was used in a specific study on the survival probabilities on the "Titanic." Specifically, we describe how game…
Descriptors: Data Analysis, Heuristics, Mixed Methods Research, Inferences
Chongwatpol, Jongsawas – Decision Sciences Journal of Innovative Education, 2020
Design Thinking has been applied successfully in many fields; however, in Information Systems research most early studies focus on applying the specific toolsets to developing product and system designs to solve strategic, managerial, and operational problems. There is little research on how Design Thinking can be embedded in the learning…
Descriptors: Design, Business, Best Practices, Decision Making
Tolsgaard, Martin G.; Boscardin, Christy K.; Park, Yoon Soo; Cuddy, Monica M.; Sebok-Syer, Stefanie S. – Advances in Health Sciences Education, 2020
Data science is an inter-disciplinary field that uses computer-based algorithms and methods to gain insights from large and often complex datasets. Data science, which includes Artificial Intelligence techniques such as Machine Learning (ML), has been credited with the promise to transform Health Professions Education (HPE) by offering approaches…
Descriptors: Allied Health Occupations Education, Data Analysis, Artificial Intelligence, Theories
Hou, Likun; Terzi, Ragip; de la Torre, Jimmy – International Journal of Assessment Tools in Education, 2020
This study aims to conduct differential item functioning analyses in the context of cognitive diagnosis assessments using various formulations of the Wald test. In implementing the Wald test, two scenarios are considered: one where the underlying reduced model can be assumed; and another where a saturated CDM is used. Illustration of the different…
Descriptors: Cognitive Measurement, Diagnostic Tests, Item Response Theory, Models
Rosenburg, Joshua; Edwards, Alex; Chen, Bodong – Science Teacher, 2020
Analyzing and interpreting data is essential to the practice of scientists and is also an essential science and engineering practice for science teaching and learning. Although working with data has benefits for student learning, it is also challenging, particularly with respect to aspects of work with data that are not yet very common in schools,…
Descriptors: Science Instruction, Data Analysis, Teaching Methods, Data Collection
Green, Michael; Chen, Xiaobo – Journal of Chemical Education, 2020
For undergraduate students to be prepared for graduate school and industry, it is imperative that they understand how to merge the theoretical insights gleaned through their undergraduate education with the raw data sets acquired through materials analysis. Thus, the ability to implement data analysis is a vital skill that students should develop.…
Descriptors: Undergraduate Students, Data, Chemistry, Programming Languages
Kulkarni, Tara; Weeks, Mollie R.; Sullivan, Amanda L. – Communique, 2020
As frequent consumers and disseminators of research, school psychologists have an ethical obligation to critically evaluate the findings of studies (National Association of School Psychologists, 2010); however, this can feel burdensome when studies are behind paywalls and require hours to properly scrutinize. Particularly when studies utilizing…
Descriptors: Data Analysis, School Psychology, Criticism, Psychological Studies
Dang, Steven C.; Koedinger, Kenneth R. – International Educational Data Mining Society, 2020
Effective teachers recognize the importance of transitioning students into learning activities for the day and accounting for the natural drift of student attention while creating lesson plans. In this work, we analyze temporal patterns of gaming behaviors during work on an intelligent tutoring system with a broader goal of detecting temporal…
Descriptors: Learner Engagement, Intelligent Tutoring Systems, Student Behavior, Student Motivation
Hsin-Yi Chang; Yen-Jung Chang; Meng-Jung Tsai – International Journal of STEM Education, 2024
Background: Data visualizations transform data into visual representations such as graphs, diagrams, charts and so forth, and enable inquiries and decision-making in many professional fields, as well as in public and economic areas. How students' data visualization literacy (DVL), including constructing, comprehending, and utilizing adequate data…
Descriptors: Data Analysis, Visual Aids, Task Analysis, Decision Making
Larry J. Grabau; Jan Van Damme – International Journal of Science and Mathematics Education, 2024
Adaptive science dispositions (epistemology, enjoyment, interest, and self-efficacy) have been shown to be related to schools' science climate and science literacy. School stratification may promote positive linkages among science dispositions, science literacy, and science climate. To examine the association between school stratification and such…
Descriptors: Foreign Countries, Scientific Literacy, Educational Environment, Science Education
Achilleas Mandrikas; Constantina Stefanidou; Constantine Skordoulis – Journal of STEM Education: Innovations and Research, 2024
A STEM education program entitled "Come rain or shine" implemented in a primary rural school in southern Greece as part of the "Diffusion of STEM (DI-STEM)" project and the results of its implementation are presented in this paper. The educational program deepened in weather education and intended to develop eight scientific…
Descriptors: Foreign Countries, STEM Education, Elementary Education, Program Implementation
David Burlinson; Matthew Mcquaigue; Alec Goncharow; Kalpathi Subramanian; Erik Saule; Jamie Payton; Paula Goolkasian – Education and Information Technologies, 2024
BRIDGES is a software framework for creating engaging assignments for required courses such as data structures and algorithms. It provides students with a simplified API that populates their own data structure implementations with live and real-world data, and provides the ability for students to easily visualize the data structures they create as…
Descriptors: Computer Science Education, Majors (Students), Student Interests, College Faculty
Jennifer Xu; Monica Garfield – Information Systems Education Journal, 2024
There has been an increasing demand for healthcare analytics skills and competence by healthcare organizations. Although many universities have established programs and courses on healthcare analytics, most of these curricula have been designed for information systems (IS), information technology (IT), or analytics students. It is unclear how…
Descriptors: Allied Health Personnel, Allied Health Occupations, Allied Health Occupations Education, Data Analysis
Karen Salvador; Erika J Knapp; Whitney Mayo – International Journal of Music Education, 2024
Mission-driven nonprofit organizations sometimes struggle within a cycle of disempowerment resulting from oversaturation of data collection that is reactive to funder demands. In this article, we problematize Community Music School (CMS) data-collection and analysis efforts and discuss alternate approaches to learning about family and community…
Descriptors: Community Schools, Music Education, Community Involvement, Student Empowerment
Mariam Makramalla; Andreas J. Stylianides – ZDM: Mathematics Education, 2024
Situated in the education reform launched by the Egyptian Ministry of Education (MOE), which called for a socially-foreign shift away from memorization-based mathematics instruction, this paper explores the role of school-based teacher professional networks in implementing reform. Adopting the Goodson Change Model as a theoretical framework, we…
Descriptors: Teacher Role, Mathematics Education, Foreign Countries, Educational Change