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Gerard Dummer; Elwin Savelsbergh; Paul Drijvers – Informatics in Education, 2025
Programmed control systems are ubiquitous in the present-day world. In current educational practice, however, these systems are hardly being addressed, and little is known about children's spontaneous understandings about such systems. Therefore, we explored pupils' understandings prior to instruction in three concrete settings: a car park, an…
Descriptors: Elementary School Students, Grade 3, Grade 6, Computer Science Education
Alper Kaskaya; Seyma Nur Ates – Journal of Pedagogical Research, 2025
This study aimed to investigate the effects of artificial intelligence (AI)-supported visualization applications on students' writing disposition during the creative writing process. An explanatory sequential design, a type of mixed methods approach, was adopted. In the quantitative phase, a quasiexperimental design with a pretest-posttest control…
Descriptors: Creative Writing, Writing Processes, Elementary School Students, Comparative Analysis
Design and Usability Evaluation of a Mobile App for Elementary School Inquiry-Based Science Learning
Iraya Yánez-Pérez; Radu Bogdan Toma; Jesús Ángel Meneses-Villagrá – School Science and Mathematics, 2025
Teachers often struggle to implement inquiry-based science teaching. To support them, IndagApp--a 3D educational app that offers curriculum-aligned, inquiry-based lesson plans--was designed. The app is rooted in the inquiry phases recommended in best-practices literature, which arguably align with most international standards. This study describes…
Descriptors: Usability, Computer Software, Private Schools, Public Schools
Hüseyin Ates; Mustafa Köroglu – Journal of Computer Assisted Learning, 2024
Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of…
Descriptors: Cooperative Learning, Comparative Analysis, Academic Achievement, Learner Engagement
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
Su, Yu-Sheng; Shao, Mingming; Zhao, Li – Journal of Educational Computing Research, 2022
Scratch, a kind of visual programming software, has been widely used in instruction for primary school children. Scratch constructs a digital world for children to design, develop, and create coursework in which their creative thinking is fostered. Different instructional methods have been designed and implemented to stimulate children's creative…
Descriptors: Cognitive Mapping, Creative Thinking, Creativity Tests, Computer Software
Natalie Brezack; Wynnie Chan; Mingyu Feng – Grantee Submission, 2024
This paper explores how learning analytics data provided by a math problem-solving educational technology platform informed 5th and 6th grade teachers' instructional decisions around socioemotional learning (SEL). MathSpring is an educational technology tool that provides teachers with data on students' effort, progress, and emotions while…
Descriptors: Social Emotional Learning, Mathematics Instruction, Teacher Attitudes, Comparative Analysis
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
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
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
Baran, Bahar; Yecan, Esra; Kaptan, Burak; Pasayigit, Ozan – Education and Information Technologies, 2020
Augmented reality technology has recently become one of the primary technologies for science education. Although augmented reality is attractive, a need exists for good content, implementation, and evaluations, as in every technology integration process. To this end, this study aims to develop and evaluate an augmented reality application to teach…
Descriptors: Grade 5, Elementary School Students, Teaching Methods, Computer Simulation
Chen, Yan; Mayall, Hayley J.; Smith, Thomas J.; York, Cynthia S. – AERA Online Paper Repository, 2023
This study reports the integrated findings of a mixed-methods sequential explanatory study that investigated the feasibility and effectiveness of mobile-based writing tools (MBWTs) as well as gender differences that emerged from these learning effects in the narrative writing skills of a group of sixth to seventh grade Latinx English Learners…
Descriptors: Cultural Background, Gender Differences, Writing Instruction, Writing Skills
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
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
de Barros, Andreas; Ganimian, Alejandro J.; Venkatachalam, Anuja – Journal of Research on Educational Effectiveness, 2022
This study is one of the first evaluations of independent (i.e., self-guided) practice in math in a developing country. We randomly assigned 4,461 students in grades 4-7 in "unaided" private schools across seven Indian cities who were using a computer-assisted learning software to: (a) a control group, in which they moved from one unit…
Descriptors: Independent Study, Computer Software, Computer Assisted Instruction, Private Schools