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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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Shatnawi, Raed; Althebyan, Qutaibah; Ghaleb, Baraq; Al-Maolegi, Mohammed – International Journal of Web-Based Learning and Teaching Technologies, 2021
Academic advising is a time-consuming activity that takes a considerable effort in guiding students to improve student performance. Traditional advising systems depend greatly on the effort of the advisor to find the best selection of courses to improve student performance in the next semester. There is a need to know the associations and patterns…
Descriptors: Academic Advising, Course Selection (Students), Educational Technology, Information Technology
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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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Wang, Cong; Liu, Xiufeng; Wang, Lei; Sun, Ying; Zhang, Hongyan – Journal of Science Education and Technology, 2021
Assessing scientific argumentation is one of main challenges in science education. Constructed-response (CR) items can be used to measure the coherence of student ideas and inform science instruction on argumentation. Published research on automated scoring of CR items has been conducted mostly in English writing, rarely in other languages. The…
Descriptors: Automation, Scoring, Accuracy, Responses
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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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Salimpour, Saeed; Fitzgerald, Michael T.; Tytler, Russell; Eriksson, Urban – Journal of Science Education and Technology, 2021
The changing landscape of science and science education has provided an impetus to re-imagine how science can be taught in schools. The dawn of the Big Data era, especially in astronomy, and the notion of "Science as Practice" are some of the developments driving this need for a re-imagination of science education. This current work…
Descriptors: Web Based Instruction, Computer Interfaces, Design, Science Education
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Pitsia, Vasiliki; Karakolidis, Anastasios; Lehane, Paula – Educational Assessment, 2021
Evidence suggests that the quality of teachers' instructional practices can be improved when these are informed by relevant assessment data. Drawing on a sample of 1,300 primary school teachers in Ireland, this study examined the extent to which teachers use standardized test results for instructional purposes as well as the role of several…
Descriptors: Data Use, Student Evaluation, Elementary School Teachers, Foreign Countries
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Papamitsiou, Zacharoula; Filippakis, Michail E.; Poulou, Marilena; Sampson, Demetrios; Ifenthaler, Dirk; Giannakos, Michail – Smart Learning Environments, 2021
In the era of digitalization of learning and teaching processes, Educational Data Literacy (EDL) is highly valued and is becoming essential. EDL is conceptualized as the ability to collect, manage, analyse, comprehend, interpret, and act upon educational data in an ethical, meaningful, and critical manner. The professionals in the field of…
Descriptors: Multiple Literacies, Instructional Design, Tutors, Electronic Learning
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Bueddefeld, Jill; Murphy, Michelle; Ostrem, Julie; Halpenny, Elizabeth – Journal of Mixed Methods Research, 2021
This article explores innovative and novel research methods and adaptive approaches during the COVID-19 pandemic to examine visitor learning and proenvironmental behavior. We present a mixed methods study that used a methodological bricolage approach to field-based data collection. The pandemic limited our ability to carry out the original study…
Descriptors: COVID-19, Pandemics, Mixed Methods Research, Data Collection
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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
Hollands, Fiona; Kushner, Anna – Phi Delta Kappan, 2021
Making evidence-based decisions in schools seems like an impossible task when hundreds of activities are available, the evidence base fails to address most of them, and budget deadlines are immovable. In addition, different stakeholders hold different views on what it means for a program, strategy, or intervention to "work." Fiona…
Descriptors: Evidence Based Practice, Decision Making, Cost Effectiveness, Program Implementation
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Danible, Kaitlin; Panizza, Chloe; Boushey, Carol; Kerr, Deborah; Zhu, Fengqing; Banna, Jinan C. – Journal of Extension, 2021
The mobile food record™ (mFR™) is a novel app that allows for the tracking of individual food waste and addresses the limitations of current methods to accurately quantify food waste. Extension educators may use data from the mFR™ to create educational initiatives for food waste prevention and education that may be implemented in settings such as…
Descriptors: Food, Measurement, Computer Oriented Programs, Extension Education
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