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Showing 1 to 15 of 26 results Save | Export
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Aisling M. Leavy; Mairéad Hourigan; Michelle Fitzpatrick – Statistics Education Research Journal, 2024
Children require access to high-quality statistics education to develop the skills to participate in a technological and data-reliant workforce. This study consisted of a five-lesson integrated STEM unit designed to develop the statistical literacy of 62 6th-grade (11-12 years old) emerging bilingual (EB) learners. Learning was situated in the…
Descriptors: Grade 6, Statistics Education, Bilingual Students, Science and Society
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Moltudal, Synnøve; Høydal, Kjetil; Krumsvik, Rune Johan – Designs for Learning, 2020
Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
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Wright, Suzie; Watson, Jane; Smith, Caroline; Fitzallen, Noleine – Teaching Science, 2021
Life would not be possible without plants. Plants supply food to many organisms (including people), produce oxygen, absorb carbon dioxide from the air, provide products for human use, and homes for many other living things. It is not surprising, therefore, that plant growth is a familiar topic in the primary school science curriculum. This paper…
Descriptors: Science Instruction, Plants (Botany), Grade 6, STEM Education
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Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval
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Fancsali, Stephen E.; Li, Hao; Sandbothe, Michael; Ritter, Steven – International Educational Data Mining Society, 2021
Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…
Descriptors: Instructional Development, Instructional Improvement, Data Use, Educational Technology
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Maher, Damian; Buchanan, John – Technology, Pedagogy and Education, 2021
Schools are increasingly pivoting to the use of digital technologies to support both teaching and learning. In this study, the educational use of 360-degree video in the primary school classroom is investigated, focusing on a platform that was developed by an Australian university, which incorporates a chat function as well as an analytics tool.…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Elementary School Teachers
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Shapiro, R. Benjamin; Wardrip, Peter Samuelson – Technology, Instruction, Cognition and Learning, 2015
Increased attention to Data-Informed Instruction (DII) and learning analytics has not been accompanied by a commensurate base of theory or evidence showing how practitioners successfully enact DII, or illustrating what the difficulties and contextual particularities of doing so involve (Coburn & Turner, 2012; Little, 2012; Spillane, 2012).…
Descriptors: Classroom Techniques, Learning Analytics, Data Use, Homework
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Kitchenham, Andrew – Australian Journal of Indigenous Education, 2017
This three-year research study examined the influence of interactive technologies on the math achievement of Indigenous students in Years 4, 5, 6 and 7 technology-equipped classrooms in a rural elementary school in British Columbia, Canada. Using a mixed-methods approach, the researcher conducted semistructured interviews and collected math…
Descriptors: Indigenous Populations, Preferences, Educational Technology, Interaction
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DiCerbo, Kristen E. – Educational Technology & Society, 2014
Interest in 21st century skills has brought concomitant interest in ways to teach and measure them. Games hold promise in these areas, but much of their potential has yet to be proven, and there are few examples of how to use the rich data from games to make inferences about players' knowledge, skills, and attributes. This article builds an…
Descriptors: Persistence, Evaluation Methods, Data Collection, Measurement Techniques
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Naresh, Nirmala; Royce, Bridget – Mathematics Teaching in the Middle School, 2013
The game of Plinko offers students an exciting real-world example of the applications of probability and data analysis. The Common Core State Standards for Mathematics (CCSSI 2010) and the Guidelines for Assessment in Statistics Education (GAISE) (Franklin et al. 2007) suggest that students in grades 6-8 be given ample opportunities to engage in…
Descriptors: Mathematics Instruction, Probability, Data Analysis, Educational Games
Jelderks, Christopher Jeffery – ProQuest LLC, 2013
Understanding the merits and demerits of new technology and how it may or may not work within traditional pedagogical methods is important. This study, therefore, examined the effects of traditional versus digital peer-editing to understand how digital peer-editing affects student writing achievement in a rural public middle school environment. It…
Descriptors: Editing, Collaborative Writing, Writing Achievement, Electronic Publishing
Scranton, Melissa Arnold – ProQuest LLC, 2013
The purpose of this study was to gain a better understanding of how students think in a technological environment. This was accomplished by exploring the differences in the thinking of students while they worked in a technological environment and comparing this to their work in a paper and pencil environment. The software program TinkerPlots:…
Descriptors: Middle School Students, Comparative Analysis, Computer Software, Data Analysis
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Sad, Suleyman Nihat; Ozhan, Ugur – Computers & Education, 2012
The main purpose of this study was to investigate the views of primary students about interactive whiteboard [IWB] use in their classes from attitudinal and pedagogical perspectives. Research was designed as an empirical approach to "phenomenology." Data was collected from fifty primary students (fourth to eighth) through focus group interviews.…
Descriptors: Phenomenology, Elementary School Students, Student Attitudes, Educational Needs
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van den Heuvel-Panhuizen, Marja; Kolovou, Angeliki; Robitzsch, Alexander – Educational Studies in Mathematics, 2013
In this study we investigated the role of a dynamic online game on students' early algebra problem solving. In total 253 students from grades 4, 5, and 6 (10-12 years old) used the game at home to solve a sequence of early algebra problems consisting of contextual problems addressing covarying quantities. Special software monitored the…
Descriptors: Elementary School Students, Grade 4, Grade 5, Grade 6
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