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Showing 1 to 15 of 17 results Save | Export
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Guiqin Liang; Chunsong Jiang; Qiuzhe Ping; Xinyi Jiang – Interactive Learning Environments, 2024
With long-term impact of COVID-19 on education, online interactive live courses have been an effective method to keep learning and teaching from being interrupted, attracting more and more attention due to their synchronous and real-time interaction. However, there is no suitable method for predicting academic performance for students…
Descriptors: Academic Achievement, Prediction, Engineering Education, Online Courses
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Xu, Xiaoqiu; Dugdale, Deborah M.; Wei, Xin; Mi, Wenjuan – American Journal of Distance Education, 2023
The recent surge of online language learning services in the past decade has benefitted second language learners. However, there is a lack of understanding of whether learners, especially young learners, are engaged in online learning, and how educators can enhance the engagement of the online learning experience. This study examines an artificial…
Descriptors: Artificial Intelligence, Prediction, Electronic Learning, Learner Engagement
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Mohan, Kaushik; Bergner, Yoav; Halpin, Peter – Technology, Knowledge and Learning, 2020
Technology-based assessments that involve collaboration among students offer many sources of process data, although it remains unclear which aspects of these data are most meaningful for making inferences about students' collaborative skills. Recent research has focused mainly on theory-based rubrics for qualitative coding of process data (e.g.,…
Descriptors: Computer Assisted Testing, Student Evaluation, Cooperation, Grade 12
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Chen, Jingjun; Xia, Yuan; Wan, Liyan; Luo, Rong – Asia-Pacific Education Researcher, 2021
The relationship between handwriting and instant message (IM) frequency has not been studied in English and the reason may be related to the similar cognitive process of typing IM and handwriting words. The mental processes of producing both handwriting and typing English words are from semantics to phonology and orthography. However, the…
Descriptors: Synchronous Communication, Computer Mediated Communication, Handwriting, Writing Skills
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Xizhe Wang; Yihua Zhong; Changqin Huang; Xiaodi Huang – IEEE Transactions on Learning Technologies, 2024
Reading comprehension is a widely adopted method for learning English, involving reading articles and answering related questions. However, the reading comprehension training typically focuses on the skill level required for a standardized learning stage, without considering the impact of individual differences in linguistic competence. This…
Descriptors: Reading Comprehension, Artificial Intelligence, Computer Software, Synchronous Communication
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Hu, Jie; Yu, Hangyan – Education and Information Technologies, 2023
This study compared the effects of extracurricular synchronous computer-mediated communication (SCMC) and asynchronous computer-mediated communication (ASCMC) between students and teachers on students' digital reading performance at different frequencies. 392,269 samples from 53 countries/regions that participated in the Programme for…
Descriptors: Extracurricular Activities, Asynchronous Communication, Synchronous Communication, Computer Mediated Communication
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Alcaraz, Raul; Martinez-Rodrigo, Arturo; Zangroniz, Roberto; Rieta, Jose Joaquin – IEEE Transactions on Learning Technologies, 2021
Early warning systems (EWSs) have proven to be useful in identifying students at risk of failing both online and conventional courses. Although some general systems have reported acceptable ability to work in modules with different characteristics, those designed from a course-specific perspective have recently provided better outcomes. Hence, the…
Descriptors: Prediction, At Risk Students, Academic Failure, Electronic Equipment
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Stadlman, Margaret; Salili, Seyyed M.; Borgaonkar, Ashish D.; Miri, Amir K. – Journal of STEM Education: Innovations and Research, 2022
Lack of student persistence and retention is significantly hurting the US in producing the required number of qualified graduates, especially in STEM fields. Although many factors contribute to students falling off track, one of the controllable factors is the identification of at-risk students followed by early intervention. Predicting the…
Descriptors: Artificial Intelligence, Synchronous Communication, Educational Technology, Electronic Learning
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Pierratos, Theodoros – Physics Education, 2021
Due to the conditions imposed worldwide by the pandemic, students' access to school laboratories is limited, if not impossible. To provide students with raw experimental data to assess, analyse and reason out, we have filmed experiments that can be used in a flipped classroom. This paper presents an experiment which makes use of an array of six…
Descriptors: Science Instruction, Physics, Flipped Classroom, Science Laboratories
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Mozahem, Najib Ali – International Journal of Mobile and Blended Learning, 2020
Higher education institutes are increasingly turning their attention to web-based learning management systems. The purpose of this study is to investigate whether data collected from LMS can be used to predict student performance in classrooms that use LMS to supplement face-to-face teaching. Data was collected from eight courses spread across two…
Descriptors: Integrated Learning Systems, Data Use, Prediction, Academic Achievement
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Waldron, Sam; Wood, Clare; Kemp, Nenagh – Journal of Research in Reading, 2017
An investigation into the impact of predictive text use upon the literacy skills of primary school, secondary school and university cohorts was conducted over the course of a year. No differences in use of text abbreviations ("textisms") were found between predictive text users and nonusers. However, secondary school children who used…
Descriptors: Grammar, Spelling, Reading Processes, Error Patterns
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Wan, Han; Liu, Kangxu; Yu, Qiaoye; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2019
Most educational institutions adopted the hybrid teaching mode through learning management systems. The logging data/clickstream could describe learners' online behavior. Many researchers have used them to predict students' performance, which has led to a diverse set of findings, but how to use insights from captured data to enhance learning…
Descriptors: Educational Practices, Learner Engagement, Identification, Study Habits
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Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
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Kim, Il-Hee – Interactive Learning Environments, 2014
This article investigates the effect of participation in synchronous online discussions on the development of individual reasoning as manifested in reflective essays. Students from a fourth-grade classroom engaged in a series of real-time online discussions. The format of the discussion was based on the Collaborative Reasoning approach which has…
Descriptors: Skill Development, Logical Thinking, Thinking Skills, Synchronous Communication
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Waller, Lisa; Edens, Kellah – Journal of Technology and Teacher Education, 2012
The purpose of this study thus was to empirically investigate the association between teachers' self-reported reflective practices and their use of student response systems. Analysis of responses from 214 teacher participants from the southeastern US to the "Teachers' Technology Use and Belief Survey (TTUBS)" revealed the following findings.…
Descriptors: Teacher Surveys, Technology Uses in Education, Audience Response, Handheld Devices
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