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Atabek Yigit, Elif; Balkan Kiyici, Fatime; Kiyici, Mübin – International Journal of Technology in Education and Science, 2022
The purpose of this study is to determine the trend in studies related to Science instruction and ICT. The study has been studied with extensive data, and the data mining method has been used. Some articles entered the ERIC database within the research scope and published in January 2020, starting from 1965. In this context, 1,783,418 articles…
Descriptors: Technology Uses in Education, Science Instruction, Literature Reviews, Data Use
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Chopra, Shivangi; Golab, Lukasz – International Journal of Work-Integrated Learning, 2022
Benefits of cooperative (co-op) education have been investigated, mainly by surveying students already enrolled in co-op programs. In contrast, this paper investigates prospective students' perceptions of co-op. This was done by analyzing over 33,000 applications to undergraduate engineering programs in a large North American university. Text…
Descriptors: Undergraduate Students, Engineering Education, Student Attitudes, Cooperative Learning
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Fox, Nick J.; Alldred, Pam – International Journal of Social Research Methodology, 2022
With growing social science interest in new materialist and posthuman ontologies, it is timely to explore how these may translate practically into social research methodologies. This task is complicated by differing interpretations of how new materialist precepts should shape research. This paper aims to fill a gap in the literature by setting out…
Descriptors: Data Analysis, Data Collection, Ethology, Philosophy
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Mentzer, Kevin; Galante, Zachary; Frydenberg, Mark – Information Systems Education Journal, 2022
Organizations are keenly interested in data gathering from websites where discussions of products and brands occur. This increasingly means that programmers need an understanding of how to work with website application programming interfaces (APIs) for data acquisition. In this hands-on lab activity, students will learn how to gather data from…
Descriptors: Prediction, Competition, Music, Data Analysis
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Poolman, Toryn M.; Townsend-Nicholson, Andrea; Cain, Amanda – Biochemistry and Molecular Biology Education, 2022
The final year of a biochemistry degree is usually a time to experience research. However, laboratory-based research projects were not possible during COVID-19. Instead, we used open datasets to provide computational research projects in metagenomics to biochemistry undergraduates (80 students with limited computing experience). We aimed to give…
Descriptors: Genetics, Undergraduate Students, Biological Sciences, Internet
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Friedman, Alon – Biochemistry and Molecular Biology Education, 2022
The R programming language and computing environment is a powerful and common platform used by life science researchers and educators for the analysis of big data. One of the benefits of using R in this context is its ability to visualize the results. Using R to generate visualizations has gained in popularity due to the increased number of R…
Descriptors: Visual Aids, Peer Evaluation, Scoring Rubrics, Programming Languages
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Deschênes, Michelle; Parent, Séverine – European Journal of Educational Research, 2022
Teacher agency is a set of actions that a teacher takes beyond what is generally expected of them. The concept merits examination, as agency can bolster teachers' ability to set and achieve professional development goals. To better understand how to study, and use, this relatively new concept in the academic literature, a systematic review of 164…
Descriptors: Professional Autonomy, Educational Research, Research Methodology, Participant Characteristics
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King, Alexander Z. – Journal of Education for Business, 2022
The impact of data analytics on the accounting profession has been discussed for more than 15 years, accompanied by increasingly fervent calls from employers for an escalating level of data analytic skills in accounting program graduates. The authors provide an in-depth examination of the incorporation of data analytic skills included in the…
Descriptors: Data Analysis, Business Administration Education, Accounting, Accreditation (Institutions)
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Bolch, Charlotte; Crippen, Kent – Statistics Education Research Journal, 2022
The purpose of the study was to understand the experiences of data scientists regarding common skills and strategies of interpreting and creating data visualizations. In this Delphi study, the participants were researchers in Data Science using three rounds of surveys. Skills and strategies were identified after Delphi Panel 1 and then brought…
Descriptors: Statistics Education, Visual Aids, Data Analysis, Delphi Technique
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Lumbantobing, Rotua; McFall, Todd – Teaching Statistics: An International Journal for Teachers, 2022
In this article, we offer a teaching lesson on combinatorics and binary outcomes that utilizes real-world data. The focus of the lesson is to teach students how to analyze the effects of the National Basketball Association's (NBA) 2003 decision to extend the first round of its postseason from a best-of-five series of games to a best-of-seven…
Descriptors: Statistics Education, Team Sports, Teaching Methods, Decision Making
Minju Hong – ProQuest LLC, 2022
Reliability indicates the internal consistency of a test. In educational studies, reliability is a key feature for a test. Researchers have proposed many traditional reliability estimates, such as coefficient alpha and coefficient omega. However, traditional reliability indices do not deal with the data hierarchy, even though the multilevel…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Factor Structure, Test Reliability
Han, Yoon Shik – ProQuest LLC, 2022
Numerous prior literature pointed out the disconnection of knowledge and skills between the classroom and the workplace, especially regarding data analytic skills in the big data era. However, the studies on integrating data analytics, including the current IS/IT environment, into the accounting curriculum are minimal. This study provides an…
Descriptors: Data Analysis, Accounting, Business Administration Education, Skill Development
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Jordan P. Beck; Diane M. Miller – Journal of Chemical Education, 2022
A version of the classic rotationally resolved infrared (IR) spectrum of a diatomic molecule experiment has been developed using the POGIL framework to more fully engage students in the collection, modeling, analysis, and interpretation of the data. An analysis of the experimental protocol reveals that the POGIL approach actively engages students…
Descriptors: Learner Engagement, Chemistry, Science Instruction, Laboratory Experiments
Adam C. Sales; Ethan Prihar; Johann Gagnon-Bartsch; Ashish Gurung; Neil T. Heffernan – Grantee Submission, 2022
Randomized A/B tests allow causal estimation without confounding but are often under-powered. This paper uses a new dataset, including over 250 randomized comparisons conducted in an online learning platform, to illustrate a method combining data from A/B tests with log data from users who were not in the experiment. Inference remains exact and…
Descriptors: Research Methodology, Educational Experiments, Causal Models, Computation
Vincent Dorie; George Perrett; Jennifer L. Hill; Benjamin Goodrich – Grantee Submission, 2022
A wide range of machine-learning-based approaches have been developed in the past decade, increasing our ability to accurately model nonlinear and nonadditive response surfaces. This has improved performance for inferential tasks such as estimating average treatment effects in situations where standard parametric models may not fit the data well.…
Descriptors: Statistical Inference, Causal Models, Artificial Intelligence, Data Analysis
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