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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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Reynolds, Barry Lee; Kao, Chian-Wen; Huang, Yun-yin – Asia-Pacific Education Researcher, 2021
Although researchers have investigated the effects automated writing evaluation (AWE) and teacher corrective feedback have on second language (L2) writing performance, these studies have conflated two different variables--feedback source and perceptions of feedback source. Using a quasi-experimental design, two groups of second language English…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, English (Second Language)
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Göçen Kabaran, Güler; Duman, Bilal – International Journal of Technology in Education, 2021
The general aim of this study is to determine the effects of teaching method based on digital storytelling on students' learning and study strategies. In this study, as one of the true experimental models, pre-test/post-test control group experimental design was used via detachedly selected experiment and control groups. In the study, a teaching…
Descriptors: Story Telling, Learning Strategies, Comparative Analysis, Pretests Posttests
Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2021
The purpose of this study was to compare student growth of SCSD-7 students on the MAP (Measures of Academic Progress) reading assessment to otherwise similar students who did not use Istation. This study followed two cohorts of elementary school students over three years (2016-17 through 2018-19) to assess the effect of Istation on reading…
Descriptors: Program Evaluation, Reading Tests, Reading Programs, Achievement Tests
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Priyadi, Ahmad; Kuswanto, Heru – Journal of Technology and Science Education, 2023
This research aims to: (1) develop a feasible Android-based comic media of Gajah Mungkur Dam, and (2) reveal the effectiveness of the developed comic media in improving mathematical representation and critical thinking abilities on the materials of work and energy. The research subjects are senior high school students, consisting of 262 students…
Descriptors: High School Seniors, Cartoons, Computer Games, Mathematics Instruction
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Zhai, Na; Ma, Xiaomei – Journal of Educational Computing Research, 2023
Automated writing evaluation (AWE) has been frequently used to provide feedback on student writing. Many empirical studies have examined the effectiveness of AWE on writing quality, but the results were inconclusive. Thus, the magnitude of AWE's overall effect and factors influencing its effectiveness across studies remained unclear. This study…
Descriptors: Writing Evaluation, Feedback (Response), Meta Analysis, English (Second Language)
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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
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Nozhovnik, Oleh; Harbuza, Tetiana; Teslenko, Natalia; Okhrimenko, Olena; Zalizniuk, Viktoriia; Durdas, Alla – International Journal of Educational Methodology, 2023
The purpose of this study was to examine the potential impact of integrating the Smart Sender platform to gamify and automate L2 e-classes on students' motivation, English language proficiency in reading and language use, engagement, and attitudes towards the platform. This experimental research employed a quasi-experimental design, specifically a…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Assisted Instruction
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Durgungoz, Ahmet; Durgungoz, F. Canan – Learning Environments Research, 2022
In this study, we examined a mathematics teacher's communicative acts on an instant messaging tool, WhatsApp, and its role in creating a sustained learning environment between secondary-school students and a teacher in Turkey. The interactions of a mathematics teacher and his students (n = 38) over two years were explored. The WhatsApp group…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Software, Computer Assisted Instruction
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Zhou, Wenying; Li, Xiaoshi – Knowledge Management & E-Learning, 2022
Many people who learn Chinese as a foreign language (CFL) have encountered challenges when it comes to character writing. This was a follow-up study of our quantitative study in 2019 that showed that mobile app was a significantly more effective method than pen-and-paper method to learn Chinese character writing. Thirty beginning CFL learners…
Descriptors: Orthographic Symbols, Writing (Composition), Computer Software, Telecommunications
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Feroce, Nick; Liu, Jenny; Chattergoon, Rajendra – Research-publishing.net, 2022
This study examines the relationship between English language proficiency outcomes and the use of a Computer-Assisted Language Learning (CALL) tool that is designed to strengthen the academic English and oral proficiency skills of young English Learners (ELs). We compare scores on a standardized English language proficiency assessment for 2,034…
Descriptors: Oral Language, Second Language Learning, Second Language Instruction, Teaching Methods
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Chen, Zhenzhen; Chen, Weichao; Jia, Jiyou; An, Huili – Educational Technology Research and Development, 2020
Despite the rapid development of the field of Mobile-assisted Language Learning (MALL), research synthesis and systematic meta-analyses on MALL are still lacking. It remains unclear how effective mobile devices are for language learning under different conditions. Review studies on the overall effectiveness of the latest smart mobile devices are…
Descriptors: Meta Analysis, Second Language Learning, Second Language Instruction, Handheld Devices
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Watson, Sandy White; Dubrovskiy, Anton V.; Peters, Michelle L. – Chemistry Education Research and Practice, 2020
The purpose of this quasi-experimental non-equivalent pretest posttest control group research was to determine whether or not the use of a collaborative pH computer simulation has an impact on the knowledge, confidence, and conceptual understanding of fundamental pH concepts for undergraduate Chemistry II students. A purposeful sample of 59…
Descriptors: Chemistry, Science Instruction, Comparative Analysis, Undergraduate Students
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van Esch, Patrick; von der Heidt, Tania; Frethey-Bentham, Catherine; Northey, Gavin – Marketing Education Review, 2020
We report on an experiment to investigate the effect of an online asynchronous marketing simulation on student engagement and GPA. Engagement was measured in terms of conscious attention, enthused participation and social connection. The participants were 45 students undertaking marketing management at an American university over one semester.…
Descriptors: Marketing, Simulation, Teaching Methods, Learner Engagement
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Gómez-Parra, María Elena; Espejo-Mohedano, Roberto – International Journal of Computer-Assisted Language Learning and Teaching, 2020
Computer-assisted language learning (CALL) benefits from undeniable steps forward such as the use of authentic materials, real communicative contexts and the ubiquity of learning. However, to discriminate the quality of digital resources for autonomous language learning from a critical perspective is not an easy task due to its diversity. This…
Descriptors: Web Sites, Comparative Analysis, Independent Study, English (Second Language)
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