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Singh, Ajit – Journal of Learning and Teaching in Digital Age, 2021
The purpose of this paper is to analyze various dimensions for measurement of human behavior. Human behaviour is complex. Behaviors, emotions, cognitions, and attitudes can rarely be described in terms of one or two variables. It is multimodal in nature. Furthermore, the traits, modalities and dimensions cannot be measured directly, but must be…
Descriptors: Behavior, Measurement Techniques, Data Use, Data Collection
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Dahlawi, Saad; El Sharkawy, Mahmoud F. – International Journal of Sustainability in Higher Education, 2021
Purpose: Municipal solid waste (MSW) consists mainly of several recyclable materials such as paper and cardboard. Inside the educational institutes, especially universities, MSW is generated from several facilities including offices and cafeterias. Without an effective management program, solid waste can have detrimental impacts on the…
Descriptors: Universities, Municipalities, Sanitation, Recycling
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Alturki, Sarah; Alturki, Nazik; Stuckenschmidt, Heiner – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students' academic achievement early using Educational Data Mining (EDM). This study aims to predict students' final grades and identify honorary students at…
Descriptors: Data Collection, Data Analysis, Grade Prediction, Academic Achievement
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Mkrttchian, Vardan; Gamidullaeva, Leyla; Finogeev, Alexey; Chernyshenko, Serge V.; Chernyshenko, Vsevolod; Amirov, Danis; Potapova, Irina – International Journal of Web-Based Learning and Teaching Technologies, 2021
To respond to the needs of digital transformation, universities must continue to play their role as proving ground for educating the future generation and innovation. The article is devoted to overview, discussion, and investigation of application in higher education of two modern information technologies: big data and internet of things. The…
Descriptors: Influence of Technology, Higher Education, Data, Internet
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Kennedy-Clark, Shannon; Galstaun, Vilma; Reimann, Peter – Teachers and Teaching: Theory and Practice, 2021
In this paper, we put forward the OTTO Model as a means for developing data literacy in pre-service teacher education. The OTTO Model was developed using a combination of quantitative and qualitative data drawn from a three-year study investigating the nature and development of pre-service teachers' data literacy. The aim of the study was to…
Descriptors: Preservice Teachers, Teacher Effectiveness, Teacher Evaluation, Models
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Montoya, Amanda K.; Edwards, Michael C. – Educational and Psychological Measurement, 2021
Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the…
Descriptors: Goodness of Fit, Factor Analysis, Cutting Scores, Correlation
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Kocemba-Pilarczyk, Kinga A.; Bentke-Imiolek, Anna; Dudzik, Paulina – Biochemistry and Molecular Biology Education, 2021
The aim of this online workshop is to familiarize biomedical faculties students with the principle of RT-PCR method. The following assumption is made, students participating in the workshop: (1) are already familiar with the principle of PCR reaction; (2) can distinguish PCR from RT-PCR; (3) know the basic possibilities of using the above…
Descriptors: Medical Students, Biochemistry, Genetics, COVID-19
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Huxtable, Marie; Whitehead, Jack – Educational Action Research, 2021
The last 20 years have seen a growing interest in researching pedagogy in Higher Education with action researchers playing a part in this growth. However, there are few studies that analyse the educational influences in learning of the action researcher in their own pedagogy in Higher Education. Hence the focus of this paper on enhancing…
Descriptors: Educational Theories, Action Research, Higher Education, Educational Research
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Hamdaoui, Nabila; Idrissi, Mohammed Khalidi; Bennani, Samir – International Journal of Game-Based Learning, 2021
Over the last years there has been a growing interest in the use of educational games as learning tools. Educational games have proven to contribute in enhancing student motivation, increasing their engagement and providing them with personalized and adaptive learning. Learner modeling is a prerequisite when it comes to adaptive learning; it is…
Descriptors: Educational Games, Mathematical Logic, Models, Data Analysis
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Ridgway, Jim – Teaching Statistics: An International Journal for Teachers, 2021
The COVID epidemic has provided an excellent example of the need to call on a wide variety of statistical tools to address a global problem, and can give students insights into some of the dimensions of data science. Here, we describe some of the characteristics of data that students encounter as citizens. We set out some teaching ideas, which…
Descriptors: COVID-19, Pandemics, Data Analysis, Data Use
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Haglund, Pontus; Strömbäck, Filip; Mannila, Linda – Informatics in Education, 2021
Controlling complexity through the use of abstractions is a critical part of problem solving in programming. Thus, becoming proficient with procedural and data abstraction through the use of user-defined functions is important. Properly using functions for abstraction involves a number of other core concepts, such as parameter passing, scope and…
Descriptors: Computer Science Education, Programming, Programming Languages, Problem Solving
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Kelly, Susan Meabh – Science Teacher, 2021
Thanks to the development and deployment of federally funded satellite-, buoy-, and aircraft-based remote sensing instruments, continuous streams of Earth and space data are publicly available via online databases. This accessibility provides flexibility to explore geoscience data that are interesting and relevant to students--keystone components…
Descriptors: Earth Science, Databases, Data Analysis, STEM Education
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Duedahl-Olesen, Lene; Holmfred, Else; Niklas, Agnieszka Anna; Nielsen, Ida Kallehauge; Sloth, Jens Jørgen – Journal of Chemical Education, 2021
For food research, control, and production, valid and trustworthy analytical data are important. Our practical chemical food safety course for engineers therefore uses real-life studies for the ease of understanding the concept and the needed requirements for high analytical quality in relation to enabling correct evaluation of chemical food…
Descriptors: Active Learning, Case Method (Teaching Technique), Quality Assurance, Food Standards
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Jaiswal, Aparajita; Magana, Alejandra J.; Lyon, Joseph A.; Gundlach, Ellen; Ward, Mark D. – Learning Communities Research and Practice, 2021
The discipline of data science is gaining attention due to a significant increase in the amount of data generated on a real-time basis. Despite the efforts from the institutions and national agencies, it has been witnessed that there have been substantial challenges in retaining and attracting students in the discipline of data science. Learning…
Descriptors: Statistics Education, Student Experience, Communities of Practice, College Freshmen
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Tebeck, Claudette – Science Teacher, 2021
School closures in the wake of the COVID-19 pandemic led to kids asking pertinent questions about why they were not in school, especially some students suffering financial hardship. Virtual classrooms became the mundane venues for students to piece together the pandemic puzzle and unpack unseen inequities. This article examines disparities that…
Descriptors: COVID-19, Pandemics, Racial Differences, Science Instruction
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