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Doewes, Afrizal; Pechenizkiy, Mykola – International Educational Data Mining Society, 2021
Scoring essays is generally an exhausting and time-consuming task for teachers. Automated Essay Scoring (AES) facilitates the scoring process to be faster and more consistent. The most logical way to assess the performance of an automated scorer is by measuring the score agreement with the human raters. However, we provide empirical evidence that…
Descriptors: Man Machine Systems, Automation, Computer Assisted Testing, Scoring
Peter Serdyukov – Journal of Research in Innovative Teaching & Learning, 2021
Purpose: With the rapid transition of education from the traditional, classroom- or campus-based to the online format, there grows a need for not only taking advantage of online technology but also assessing actual and potential effects it can make on the learners, learning, education, and society. One of the risks inherent in online learning is…
Descriptors: Electronic Learning, Asynchronous Communication, Automation, Socialization
Qi Wang; Shengquan Yu; Xiaofeng Wang – Journal of Educational Computing Research, 2024
Chinese as a second language (CSL) learning has attracted more attention and supporting learners with adaptive resources becomes difficult. Some online systems recommended pre-designed resources from existing databases while the resources could not match learners' context. Designing resources dynamically according to learners' needs could be a…
Descriptors: Second Language Learning, Chinese, College Students, Online Systems
Li Dong – Reading and Writing: An Interdisciplinary Journal, 2024
Within the context of Chinese university education, effective communication in the field of second language writing heavily relies on lexical complexity, yet the role of writing feedback perception in relation to lexical complexity remains elusive. This study introduces a comprehensive writing feedback perception model encompassing perceptions of…
Descriptors: Foreign Countries, College Students, Feedback (Response), Writing Instruction
Jiseung Yoo; Jisun Park; Minsu Ha; Chelcea Mae Lagmay Darang – SAGE Open, 2024
In the context of formative assessment in classrooms, the incorporation of automated evaluation (AE) systems and teachers' interactions with them hold significant importance. This study aimed to investigate the cognitive processes of pre-service teachers as they engaged with an AE system. We developed an unsupervised learning-based AE system, the…
Descriptors: Preservice Teachers, Cognitive Processes, Automation, Supervision
Linxuan Zhao; Dragan Gaševic; Zachari Swiecki; Yuheng Li; Jionghao Lin; Lele Sha; Lixiang Yan; Riordan Alfredo; Xinyu Li; Roberto Martinez-Maldonado – British Journal of Educational Technology, 2024
Effective collaboration and teamwork skills are critical in high-risk sectors, as deficiencies in these areas can result in injuries and risk of death. To foster the growth of these vital skills, immersive learning spaces have been created to simulate real-world scenarios, enabling students to safely improve their teamwork abilities. In such…
Descriptors: Automation, Transcripts (Written Records), Coding, Teamwork
Stacy Gilbert; Kyunghye Kim; Rebecca Kelley; Alyssa Wright; Alessia Zanin-Yost – Journal of Electronic Resources Librarianship, 2024
News aggregator databases offer different content and features, but there is little guidance on how these databases compare. This article compares the coverage scope, availability of 35 U.S. newspaper titles, and features of six news aggregators available to U.S. academic libraries: "Newspaper Source Plus" (EBSCO), "Factiva,"…
Descriptors: Databases, Library Automation, Access to Information, Information Sources
Slavko Žitnik; Glenn Gordon Smith – Interactive Learning Environments, 2024
In the recent, and ongoing, COVID-19 pandemic, remote or online K-12 schooling became the norm. Even if the pandemic tails off somewhat, remote K-12 schooling will likely remain more frequent than it was before the pandemic. A mainstay technique of online learning, at least at the college and graduate level, has been the online discussion. Since…
Descriptors: Grade 4, Elementary School Students, Discussion, Automation
Dongkwang Shin; Jang Ho Lee – Education and Information Technologies, 2024
In recent years, various strategies have been employed to integrate ChatGPT into the field of second language (L2) teaching and learning. In line with such efforts, this study investigates the potential of ChatGPT as an automated writing evaluation (AWE) tool for L2 assessment, given the lack of systematic and quantitative investigation into human…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
Yung Po Tsang; Carman Ka Man Lee; Chun Ho Wu; Yanlin Li – IEEE Transactions on Education, 2024
Contribution: This research explores the effectiveness of a proposed teaching strategy in blockchain education, finding that it enhances learning outcomes, cognitive well-being, and student engagement in tertiary education, ultimately resulting in a shallower learning curve for STEM knowledge. Background: In the context of Industry 4.0, blockchain…
Descriptors: Gamification, Experiential Learning, Cognitive Processes, Well Being
Sativa Thompson; Hayley Didriksen; Elise Swanson; Jennifer Ash – Society for Research on Educational Effectiveness, 2024
Background: Addressing chronic absenteeism is a policy priority, with 36 states and Washington D.C. referencing attendance in ESSA accountability plans (Jordan & Miller, 2017) and a body of research establishing the connections between attendance, achievement, and social development (e.g., Gottfried, 2014; Ginsburg, 2014). The need to find…
Descriptors: Rural Schools, Attendance Patterns, Automation, Costs
Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation
Jennifer Ash – Grantee Submission, 2024
This How-To Guide is designed for school staff who want to implement a personalized messaging intervention to improve student attendance. During the 2022-23 and 2023-24 academic years, the National Center for Rural Education Research Networks (NCRERN) partnered with 47 rural districts in 16 states across the United States to pilot and test…
Descriptors: Attendance, Student Improvement, Intervention, Computer Mediated Communication
Mustafa Yildiz; Hasan Kagan Keskin; Saadin Oyucu; Douglas K. Hartman; Murat Temur; Mücahit Aydogmus – Reading & Writing Quarterly, 2025
This study examined whether an artificial intelligence-based automatic speech recognition system can accurately assess students' reading fluency and reading level. Participants were 120 fourth-grade students attending public schools in Türkiye. Students read a grade-level text out loud while their voice was recorded. Two experts and the artificial…
Descriptors: Artificial Intelligence, Reading Fluency, Human Factors Engineering, Grade 4
Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)