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Rich, Kathryn M.; Franklin, Diana; Strickland, Carla; Isaacs, Andy; Eatinger, Donna – Computer Science Education, 2022
Background and Context: We explored how learning trajectories (LTs) might be used to design variables instruction. Objective: We aimed to develop an LT for variables and use it to guide curriculum development for fourth graders working in Scratch in an integrated mathematics+CS curriculum. Method: We synthesized learning goals (LGs) and levels of…
Descriptors: Teaching Methods, Computer Science Education, Sequential Learning, Instructional Design
Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2024
We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…
Descriptors: Classification, Accuracy, Validity, Criteria
John F. Pane; Christopher Joseph Doss; Ivy Todd; Dorothy Seaman – Annenberg Institute for School Reform at Brown University, 2025
Zearn Math is a popular software platform for K-8 mathematics learning, designed to enable all students to successfully access grade-level content. RAND researchers collaborated with Zearn, the product's developer, to design this evaluation. Then RAND conducted the study independently, randomly assigning 64 schools in an urban Texas district to…
Descriptors: Mathematics Education, Grade 3, Grade 4, Grade 5
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Casper J. D. Jensen; Teresa Cadierno – Language Learning Journal, 2024
The number of learners seeking to acquire an L2 by means of apps is ever-increasing. This study examined the effectiveness of using the app "Mondly" for the acquisition of L2 English vocabulary while accounting for differences in the acquisition of receptive and productive aspects of word knowledge. Twelve Danish young learners (aged…
Descriptors: Receptive Language, Expressive Language, Correlation, Computer Assisted Instruction
Teena L. Martin – ProQuest LLC, 2024
This study investigated the understudied area of virtual reality (VR) creation among elementary-aged youth, exploring their engagement in VR creation and the ways in which educators can facilitate this creative process. Using an embedded case study, the researcher examined how the youth visualize writing using the VR creation tool, CoSpaces. To…
Descriptors: Computer Simulation, Elementary School Students, Grade 3, Grade 4
Laurie A. Coker – ProQuest LLC, 2022
This developmental research aims to: (1) examine the developmental processes of the application called MagicSpells, a haptically-enhanced, digital, vocabulary acquisition application design for learners with dyslexia, (2) investigate the structure and design of the application, and (3) analyze the results of the reviews and usability tests…
Descriptors: Educational Technology, Computer Software, Vocabulary Development, Dyslexia
Shirin Hashim – ProQuest LLC, 2024
This dissertation consists of three papers. In each paper, I leverage a different quantitative method to study a downstream effect of technology on educational outcomes. In the first paper, I study the impact of an online math learning program on 3rd through 5th grade math achievement in Louisiana. Employing Zearn Math usage metrics and…
Descriptors: Technology Uses in Education, Influence of Technology, Electronic Learning, Elementary School Mathematics
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Lee, JiHye; Lee, Hyun-Kyung; Jeong, Dabin; Lee, JiEun; Kim, TaeRyun; Lee, JiHyon – International Journal of Art & Design Education, 2021
Traditional museums of culture and history are failing to develop or make effective use of augmented reality (AR) technology. To address this deficit, the present study sought to develop online and offline experiential AR learning tools that would enable children to more fully explore museum artefacts. The study approach was based on the Blended…
Descriptors: Museums, Cultural Education, Computer Simulation, History Instruction
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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
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Çevik, Mustafa; Tabaru-Örnek, Gizem – International Online Journal of Education and Teaching, 2020
In this study, it was aimed to compare the predictions of the academic achievement of the artificial neural networks (ANN) run in MATLAB and SPSS software and to determine the factors related to their academic achievement. Sample consisted of 465 students who were studying at Grade 4 in primary schools in the Central Anatolian Region of Turkey in…
Descriptors: Comparative Analysis, Academic Achievement, Computer Software, Prediction
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Tran-Duong, Quoc Hoa – International Journal of Instruction, 2021
The programmed instruction helps each student gain knowledge with different time or sequences, depending on available knowledge, ability, and learning speed. With this method, students can perform self-evaluation and self-regulation in learning activities. This article presents the application of the programmed instruction method in designing the…
Descriptors: Courseware, Computer Software, Teaching Methods, Computer Assisted Instruction
Samosa, Resty C.; Barribal, Jemie; Cupan, Roschelle S.; Pagulayan, Jane R.; Tampipi, Jessalyn N. – Online Submission, 2021
This study assessed the effectiveness of an online-merge-offline Jamboard application as an innovation in teaching word problems to Grade 4 learners was evaluated in this study. The research evaluates a learner's level of mathematical word problem skills in terms of understanding, devising a plan, solving a problem, and interpreting, as well as…
Descriptors: Teaching Methods, Mathematics Instruction, Grade 4, Elementary School Students
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Cohen, Anat; Ezra, Orit; Hershkovitz, Arnon; Tzayada, Odelia; Tabach, Michal; Levy, Ben; Segal, Avi; Gal, Kobi – Educational Technology Research and Development, 2021
Personalizing the use of educational mathematics applets to fit learners' characteristics poses a great challenge. The present study adopted a unique approach by comparing personalization processes implemented by a machine to those implemented by a human teacher. Given the different affordances--the machine's access to historical log file data,…
Descriptors: Mathematics Instruction, Comparative Analysis, Pedagogical Content Knowledge, Teaching Methods
Mark Bodner; Andrew Coulson – Grantee Submission, 2021
A randomized controlled trial group design study funded by IES NCR Grant R305A090527 was conducted in which 16,307 3rd, 4th, and 5th grade students in 52 school grade-level clusters were randomly assigned to receive ST Math (program revision Gen3), a supplemental mathematics software instructional intervention, or to a business-as-usual…
Descriptors: Mathematics Instruction, Computer Software, Computer Uses in Education, Elementary School Students
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Anisa Cheung – Language Teaching Research, 2024
The benefits of using digital storytelling are well documented in the literature. Whether and how these advantages can be extended to digital story-writing, especially for young learners, remains underexplored. Recent advancement in technology has the potential of streamlining the stages of planning and revising in a process approach to second…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Story Telling
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