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Burnett, Cathy; Merchant, Guy; Guest, Ian – British Educational Research Journal, 2021
Whilst there is plenty of debate on the nature and role of data in social science research, data in schools tend to be understood in terms of numbers and used in limited ways linked primarily to attainment. The 'datafication' of schooling has been strongly critiqued for its powerful impacts on policy and practice, pupils' experience, the…
Descriptors: Data, Visual Aids, Data Use, Teachers
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Phillips, Tanner M.; Saleh, Asmalina; Ozogul, Gamze – International Journal of Artificial Intelligence in Education, 2023
Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…
Descriptors: Reflection, Artificial Intelligence, Natural Language Processing, Data Collection
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Rivka Gadot; Dina Tsybulsky – Smart Learning Environments, 2025
Critical thinking (CT) consists of a deliberate and reflective process that can lead to informed decisions. It involves scrutinizing the trustworthiness and consistency of underlying assumptions, the sources of data, and the validity of other information. CT embodies deliberate, self-regulated judgment incorporating cognitive abilities such as…
Descriptors: Critical Thinking, Data Collection, Information Management, Decision Making Skills
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Conijn, Rianne; Roeser, Jens; van Zaanen, Menno – Reading and Writing: An Interdisciplinary Journal, 2019
Keystroke logging is used to automatically record writers' unfolding typing process and to get insight into moments when they struggle composing text. However, it is not clear which and how features from the keystroke log map to higher-level cognitive processes, such as planning and revision. This study aims to investigate the sensitivity of…
Descriptors: Keyboarding (Data Entry), Data Collection, Cognitive Processes, Writing Processes
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Geoffroy P. J. C. Noel; Isabella Xiao; Maher Chaouachi; Alexandru Ilie; Jeremy O'Brien; Sean C. McWatt – Anatomical Sciences Education, 2025
Mixed reality (MR) offers a way to visualize and manipulate complex digital objects in three dimensions, which is particularly beneficial for human anatomy. However, implementing MR effectively requires a deep understanding of its effects on cognitive processes. The purpose of this study was to evaluate cognitive markers of students' engagement…
Descriptors: Cognitive Processes, Difficulty Level, Medical Students, Trainees
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Lipps, Oliver; Monsch, Gian-Andrea – Field Methods, 2022
Telephone surveys face more and more criticism because of decreasing coverage and increasing costs, and the risk of producing socially desirable answers. Consequently, survey administrators consider switching their surveys to the web mode, although the web mode is more susceptible to item nonresponse. Still, we do not know whether this is true for…
Descriptors: Telephone Surveys, Online Surveys, Questioning Techniques, Difficulty Level
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Stoo Sepp; Sharon Tindall-Ford; Shirley Agostinho; Fred Paas – IEEE Transactions on Learning Technologies, 2024
This article presents a novel digital method of capturing finger-based gestures on touchscreen devices for the purpose of exploring tracing gestures in educational research. Given that tracing has been found to support cognition, learning, and problem solving in educational settings, data related to the performance of these gestures are…
Descriptors: Computer Oriented Programs, Tablet Computers, Data Collection, Problem Solving
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Ferguson, Rebecca; Clow, Doug; Griffiths, Dai; Brasher, Andrew – Journal of Learning Analytics, 2019
Learning analytics involve the measurement, collection, analysis, and reporting of data about learners and their contexts, in order to understand and optimize learning and the environments in which it occurs. Since emerging as a distinct field in 2011, learning analytics has grown rapidly, and early adopters around the world are developing and…
Descriptors: Educational Research, Data Collection, Data Analysis, Educational Technology
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Lodge, Jason M.; Alhadad, Sakinah S. J.; Lewis, Melinda J.; Gaševic, Dragan – Technology, Knowledge and Learning, 2017
The use of big data in higher education has evolved rapidly with a focus on the practical application of new tools and methods for supporting learning. In this paper, we depart from the core emphasis on application and delve into a mostly neglected aspect of the big data conversation in higher education. Drawing on developments in cognate…
Descriptors: Statistical Inference, Data Interpretation, Interdisciplinary Approach, Higher Education
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Novak, Ann M.; Treagust, David F. – Journal of Research in Science Teaching, 2018
Constructing explanations of complex phenomena is an important part of doing science and it is also an important component of learning science. Students need opportunities to make claims based on available evidence and then use science concepts to justify why evidence supports the claim. But what happens when "new" evidence emerges for…
Descriptors: Scientific Attitudes, Attitude Change, Science Process Skills, Evidence
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Tran, Dung; Tarr, James E. – International Journal of Science and Mathematics Education, 2018
Through the lenses of statistical investigations and cognitive demands, we examined bivariate data tasks offered in US high school mathematics textbook series--a popular representative of three curriculum types: traditional, integrated, and hybrid. We developed a framework grounded in literature of association topics for the inclusion and…
Descriptors: High Schools, Secondary School Mathematics, Mathematics Instruction, Textbooks
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Chavan, Pankaj; Mitra, Ritayan; Srree Murallidharan, Janani – European Journal of Engineering Education, 2022
Student and teacher perceptions of course content are critical components of the teaching and learning process. Studies that have investigated such perceptions offer conflicting evidence of both convergence and divergence between the perceptions of students and teacher. These studies used data modalities such as interviews and surveys, which have…
Descriptors: Student Attitudes, Teacher Attitudes, Difficulty Level, Engineering Education
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Setiawan, Risky – European Journal of Educational Research, 2019
The purposes of this research are: 1) to compare two equalizing tests conducted with Hebara and Stocking Lord method; 2) to describe the characteristics of each equalizing test method using windows' IRTEQ program. This research employs a participatory approach as the data are collected through questionnaires based on the National Examination…
Descriptors: Equated Scores, Evaluation Methods, Evaluation Criteria, Test Items
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Blikstad-Balas, Marte; Sørvik, Gard Ove – Literacy, 2015
This article addresses how methodological approaches relying on video can be included in literacy research to capture changing literacies. In addition to arguing why literacy is best studied in context, we provide empirical examples of how small, head-mounted video cameras have been used in two different research projects that share a common aim:…
Descriptors: Literacy, Video Technology, Photography, Difficulty Level
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Irizarry-Pérez, Carlos D.; Lugo-Neris, Mirza J.; Bedore, Lisa M.; Peña, Elizabeth D. – Teaching and Learning in Communication Sciences & Disorders, 2021
This study sought to scaffold administration performance of a standardized bilingual screener to sufficient levels of accuracy for data collection using principles of Cognitive Load Theory by managing task complexity when training pre-service clinicians. Before training administration skills, two students were given copies of the manual for the…
Descriptors: Bilingualism, Screening Tests, Accuracy, Data Collection
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