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Katerina Sergi; Anastasia Elder; Tianlan Wei; Kristin Javorsky; Jianzhong Xu – International Electronic Journal of Elementary Education, 2023
Self-regulated learning (SRL) and metacognitive processes are important in education because they contribute to effective learning and improved academic performance. Metacognitive SRL may be facilitated by the implementation of computer technology. This qualitative study examined the presence and use of metacognitive SLR processes among elementary…
Descriptors: Elementary School Students, Metacognition, Skills, Independent Study
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Yamamoto, Tomokazu; Kamiyama, Shinichi; Tanaka, Tatsuya; Yamaguchi, Etsuji – Journal of Baltic Science Education, 2022
In science education, the improvement in students' ability to construct arguments at the primary school level has been reported. Although these studies have identified difficulties in arguments written by primary school students, they do not indicate areas that require improvement in teaching methods. This study aims to explore the possibility of…
Descriptors: Elementary School Students, Persuasive Discourse, Writing Assignments, Writing Skills
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Humeyra Uysal; Sabri Sidekli – GIST Education and Learning Research Journal, 2023
This study aimed to determine the effect of mind mapping on story writing skills of the students. A pre-test, a post-test, and a semi-experimental research design were used in this study. The study group consisted of a total of 86 third-grade students; 33 students from the experimental group, 23 students from the control 1 group, and 30 students…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Teachers, Grade 3
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Sergi, Katerina; Elder, Anastasia D.; Wei, Tianlan; Javorsky, Kristin; Xu, Jianzhong – Reading Horizons, 2022
The purpose of this study was to investigate metacognitive self-regulated learning (SRL) differences in computer- and paper-based reading assignments across elementary students. Students in two after-school programs in a southeastern U.S. public school district were recruited. The final sample consisted of 48 students in Grades 2--5 who…
Descriptors: Metacognition, Computer Assisted Instruction, Educational Technology, Printed Materials
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L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments