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Showing 1 to 15 of 38 results Save | Export
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Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
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Kwet, Michael; Prinsloo, Paul – Teaching in Higher Education, 2020
This article examines developments in the 'smart classroom' as a new frontier for the university. It provides a conceptual map of the scope and limitations of smart classrooms, contextualized to smart university initiatives. First, it introduces the notion of 'smart' technology in cities, campuses, and classrooms. Next, it examines how the smart…
Descriptors: Educational Technology, Classroom Environment, Educational Equipment, College Environment
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Harrison, Michaela J.; Davies, C.; Bell, H.; Goodley, C.; Fox, S.; Downing, B. – Teaching in Higher Education, 2020
That compulsory education is datafied is widely acknowledged. A significant body of literature illuminates the policy context and technologies that have given rise to what we now call datafication. Less research has focussed on the consequences of datafication on teachers and learners. In this paper, we offer a unique perspective of these…
Descriptors: Masters Programs, Data Analysis, Teacher Qualifications, Experienced Teachers
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Ferguson, Joseph Paul; Tytler, Russell; White, Peta – International Journal of Science Education, 2022
Reporting on a Grade 4 teaching and learning sequence, we highlight foundational constructs of measurement and data modelling which are fundamental to competence development in both science and mathematics. The sequence involved students generating and representing measures of their teacher's arm-span, with a focus on the invention and refinement…
Descriptors: Aesthetics, Data Analysis, Educational Philosophy, Teaching Methods
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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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Zeng, Ziheng; Chaturvedi, Snigdha; Bhat, Suma – International Educational Data Mining Society, 2017
Characterizing the nature of students' affective and emotional states and detecting them is of fundamental importance in online course platforms. In this paper, we study this problem by using discussion forum posts derived from large open online courses. We find that posts identified as encoding confusion are actually manifestations of different…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Thiel, Jaye Johnson; Dernikos, Bessie P. – Journal of Literacy Research, 2020
In this article, we playfully revisit the same data scene, but from three different perspectives. We call these revisits "re-turns" to data. These "re-turns" draw upon moments with young boys playing at a makerspace located in a multiracial, working-class community. This idea of "re-turn" is not simply about…
Descriptors: Data Analysis, Males, Working Class, Diversity
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Aghababyan, Ani; Martin, Taylor; Janisiewicz, Philip; Close, Kevin – Journal of Learning Analytics, 2016
Learning analytics is an emerging discipline and, as such, benefits from new tools and methodological approaches. This work reviews and summarizes our workshop on microgenetic data analysis techniques using R, held at the second annual Learning Analytics Summer Institute in Cambridge, Massachusetts, on 30 June 2014. Specifically, this paper…
Descriptors: Educational Research, Data Collection, Data Analysis, Workshops
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Uiterwijk-Luijk, Lisette; Krüger, Meta; Zijlstra, Bonne; Volman, Monique – Journal of Educational Administration, 2017
Purpose: The purpose of this paper is to improve the understanding of psychological factors that influence inquiry-based leadership. This study investigates how affective attitude, experienced social pressure, and self-efficacy relate to aspects of inquiry-based school leadership. A school leader's inquiry habit of mind, data literacy, and the…
Descriptors: Self Efficacy, Affective Behavior, Administrator Attitudes, Instructional Leadership
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Dowell, Nia M. M.; Graesser, Arthur C.; Cai, Zhiqiang – Journal of Learning Analytics, 2016
The goal of this article is to preserve and distribute the information presented at the LASI (2014) workshop on Coh-Metrix, a theoretically grounded, computational linguistics facility that analyzes texts on multiple levels of language and discourse. The workshop focused on the utility of Coh-Metrix in discourse theory and educational practice. We…
Descriptors: Discourse Analysis, Workshops, Computational Linguistics, Guidelines
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Reese, Debbie Denise – British Journal of Educational Technology, 2015
The "Selene: A Lunar Construction GaME" instructional video game is a robust research environment (institutional review board approved) for investigating learning, affect, and the CyGaMEs Metaphorics approach to instructional video game design, embedded assessment, and informatics analysis and reporting. CyGaMEs applies analogical…
Descriptors: Video Games, Educational Technology, Research, Design
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Farnsworth, Megan – Studying Teacher Education, 2016
In order to improve her practice, a teacher educator explored emotions as catalysts for teaching and learning by asking the research question, "How can I support preservice teachers' emotional intelligence (EI), as well as my own, as we negotiate the impact of strong emotions in the pedagogical environment?" Three levels of reflection…
Descriptors: Teacher Educators, Self Evaluation (Individuals), Preservice Teacher Education, Preservice Teachers
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Online Submission, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Mathematics Achievement, Information Retrieval, Data Analysis
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Goh, Tiong T.; Sun, Pei-Chen – Journal of Information Systems Education, 2015
Unstructured data in social media is as part of the "big data" spectrum. Unstructured data in Social media can provide useful insights into social phenomena and citizen opinions, both of which are critical to government policy and businesses decisions. Teachers of business intelligence and analytics commonly use quantitative data from…
Descriptors: Foreign Countries, Social Media, Data Analysis, Natural Disasters
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Miele, Eleanor – Journal of College Science Teaching, 2014
The Draw-a-Scientist Test (DAST) is a tool to assess stereotypical imagery of scientists. This paper describes the use of the DAST as both a model for inquiry and as a method of assessing the affective domain. The DAST was administered in a science education methods course for undergraduate students of elementary education, a methods course for…
Descriptors: Scientists, Social Attitudes, Stereotypes, Science Instruction
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