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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
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Yin Yang; Yuyang Cai; Yanjie Song – Educational Technology & Society, 2024
The effect of technology on primary students' self-regulated vocabulary learning (SRVL) over time and its dynamic relationship with vocabulary outcomes have been scarcely studied. This quasi-experimental study reports a longitudinal inquiry into the effect of a mobile-assisted self-regulation scheme on primary students' SRVL and the relationship…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Educational Technology
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Uun Hariyanti; Wu-Yuin Hwang; Rio Nurtantyana; Herman Dwi Surjono; Irma Nuur Rochmah; Anh Hoang; Muhammad Irfan Luthfi; Muhamad Trio Maulana Putra – Interactive Learning Environments, 2024
Authentic contextual learning (ACL) with mobile apps near home became prevalent and promising due to the COVID-19 pandemic since students were asked to learn near home without going to school. However, learning with mobile apps may cause problematic issues, such as anxiety and acceptance of either students or parents. This study aims to…
Descriptors: Anxiety, Telecommunications, Handheld Devices, Computer Oriented Programs
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Lane Maxcy; Denise A. Soares; Judith Harrison – Contemporary Educational Technology, 2025
The current study evaluated the effect of technology-based self-management on disruptive behavior and academic engagement (AE) with a student with an emotional and behavioral disorder. A multiple baseline design across three general education settings was used to assess the effectiveness of the intervention, self-management using the…
Descriptors: Technology Uses in Education, Self Management, Emotional Disturbances, Behavior Disorders
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Nima Dorji; Nipaporn Sakulwongs – THAITESOL Journal, 2024
The study was aimed to examine the use of Mobile Assisted Language Learning (MALL) through Cake application in improving speaking skill of grade 6 Bhutanese ESL students and to find out students' learning satisfaction about the use of MALL through Cake. A quasi-experimental research design was incorporated by selecting one section of 30…
Descriptors: Foreign Countries, Handheld Devices, Second Language Learning, English (Second Language)
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Adrea J. Truckenmiller; Eunsoo Cho; Samantha Bourgeois; Ellie Friedman – Reading Teacher, 2024
The purpose of this article was to offer guidance to educators in evaluating the strengths, weaknesses, and most effective uses of commercial reading assessment suites. We provide three resources to help educators who are responsible for making instructional decisions in reading using formal screening, benchmark, interim, and progress-monitoring…
Descriptors: Elementary Schools, Decision Making, Reading Achievement, Evaluation Methods
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Jhon Holguin-Alvarez; Juana Cruz-Montero; Jenny Ruiz-Salazar; Raquel Leonor Atoche Wong; Irene Merino-Flores – Contemporary Educational Technology, 2025
The application of gamification methods is still complex for most Latin American teachers who apply gamified pedagogies. Many confuse their nature with cognitivist classes that are totally confusing when using gamified tools for active learning of their students. The background information states the reduction of academic obstacles for students to…
Descriptors: Feedback (Response), Gamification, Cognitive Processes, Educational Technology
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Juho Kahila; Henriikka Vartiainen; Matti Tedre; Eetu Arkko; Anssi Lin; Nicolas Pope; Ilkka Jormanainen; Teemu Valtonen – Informatics in Education, 2024
The integration of artificial intelligence (AI) topics into K-12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and…
Descriptors: Personal Autonomy, Data, Children, Creativity
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Pinyo Wongthong – Journal of Educators Online, 2025
This study investigated the influence of synchronous online learning on students' and parents' perceptions of online learning. The research design was a mixed method approach that utilized survey questions administered to teachers, students, and parents at a demonstration school in Thailand. The findings revealed that Microsoft Teams and Zoom were…
Descriptors: Electronic Learning, Student Attitudes, Parent Attitudes, Synchronous Communication