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Showing 1 to 15 of 100 results Save | Export
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Ren, Ping; Yang, Liu; Luo, Fang – Education and Information Technologies, 2023
Student feedback is crucial for evaluating the performance of teachers and the quality of teaching. Free-form text comments obtained from open-ended questions are seldom analyzed comprehensively since it is difficult to interpret and score compared to standardized rating scales. To solve this problem, the present study employed aspect-level…
Descriptors: Student Attitudes, Student Evaluation of Teacher Performance, Feedback (Response), Prediction
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Saida Ulfa; Ence Surahman; Izzul Fatawi; Hirashima Tsukasa – Electronic Journal of e-Learning, 2024
The purpose of this study was to evaluate the factors that influence behavioural intention (BI) to use the Online Summary-with Automated Feedback (OSAF) in a MOOCs platform. Task-Technology Fit (TTF) was the main framework used to analyse the match between task requirements and technology characteristics, predictng the utilisation of the…
Descriptors: MOOCs, Intention, Automation, Feedback (Response)
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Jiang, Shiyan; Tang, Hengtao; Tatar, Cansu; Rosé, Carolyn P.; Chao, Jie – Learning, Media and Technology, 2023
It's critical to foster artificial intelligence (AI) literacy for high school students, the first generation to grow up surrounded by AI, to understand working mechanism of data-driven AI technologies and critically evaluate automated decisions from predictive models. While efforts have been made to engage youth in understanding AI through…
Descriptors: Artificial Intelligence, High School Students, Models, Classification
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Filip Moons; Paola Iannone; Ellen Vandervieren – ZDM: Mathematics Education, 2024
Handwritten tasks are better suited than digital ones to assess higher-order mathematics skills, as students can express themselves more freely. However, maintaining reliability and providing feedback can be challenging when assessing high-stakes, handwritten mathematics exams involving multiple assessors. This paper discusses a new semi-automated…
Descriptors: Grading, Mathematics Tests, Handwriting, Test Format
Austin, Christine K. – ProQuest LLC, 2023
The purpose of this study was to better understand how students use instantaneous automatic online feedback in introductory level tertiary mathematics courses and what factors may influence their use. This study delved into two factors such as a student's mathematical attitude and their self-determination and explores the relationship between the…
Descriptors: Introductory Courses, Mathematics Education, Student Attitudes, Student Motivation
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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
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Kangkang Li; Qian Yang; Xianmin Yang – IEEE Transactions on Learning Technologies, 2024
The student-generated question (SGQ) strategy is an effective instructional strategy for developing students' higher order cognitive and critical thinking. However, assessing the quality of SGQs is time consuming and domain experts intensive. Previous automatic evaluation work focused on surface-level features of questions. To overcome this…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Assisted Testing, Automation
Lo, Siaw Ling; Tan, Kar Way; Ouh, Eng Lieh – Research and Practice in Technology Enhanced Learning, 2021
Do my students understand? The question that lingers in every instructor's mind after each lesson. With the focus on learner-centered pedagogy, is it feasible to provide timely and relevant guidance to individual learners according to their levels of understanding? One of the options available is to collect reflections from learners after each…
Descriptors: Automation, Artificial Intelligence, Identification, Reflection
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Al-Inbari, Fatima Abdullah Yahya; Al-Wasy, Baleigh Qassim Mohammed – Education and Information Technologies, 2023
Automated Writing Evaluation (AWE) is one of the machine techniques used for assessing learners' writing. Recently, this technique has been widely implemented for improving learners' editing strategies. Several studies have been conducted to compare self-editing with peer editing. However, only a few studies have compared automated peer and…
Descriptors: English Language Learners, Automation, Writing Evaluation, Peer Evaluation
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Joshua Weidlich; Aron Fink; Ioana Jivet; Jane Yau; Tornike Giorgashvili; Hendrik Drachsler; Andreas Frey – Journal of Computer Assisted Learning, 2024
Background: Developments in educational technology and learning analytics make it possible to automatically formulate and deploy personalized formative feedback to learners at scale. However, to be effective, the motivational and emotional impacts of such automated and personalized feedback need to be considered. The literature on feedback…
Descriptors: Emotional Response, Student Motivation, Feedback (Response), Automation
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Thao-Trang Huynh-Cam; Somya Agrawal; Thanh-Tinh Bui; Venkateswarlu Nalluri; Long-Sheng Chen – Asia Pacific Education Review, 2024
The use of automated feedback (AF) has been increasing in English writing courses for emergency remote education (ERE) due to the escalating COVID-19 pandemic crisis in Vietnam. The ERE English writing courses for in-service bachelor programs demanded an effective, fast, free, and user-friendly AF tool that does not require a login ID, which can…
Descriptors: English (Second Language), Writing Skills, Second Language Learning, Automation
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Qi Wang; Shengquan Yu – Interactive Learning Environments, 2024
Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…
Descriptors: Electronic Learning, Educational Resources, Automation, Models
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Thacker, Donald; Berardi, Victor; Kaur, Vaneet; Blundell, Greg – Information Systems Education Journal, 2021
Understanding students' perceptions, aptitudes, and interest in using technology, and in developing technological solutions to problems, is important for effectively incorporating it into course pedagogy. This paper presents an effort to understand student technological self-conception, especially regarding the use-of-technology versus the…
Descriptors: Business Administration Education, Technological Literacy, Self Concept, Readiness
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Elisabetta Crescio – International Association for Development of the Information Society, 2022
With the massive use of new learning technologies, such as mobile learning through on-line platforms, or more "traditional" live classes taught through virtual meeting platforms, the interaction between students and teachers can be poor or limited. The professor can monitor the students' reactions and appreciation with the use of polls,…
Descriptors: Artificial Intelligence, Student Needs, Educational Environment, Instructional Design
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Xiaolong Cheng; Lawrence Jun Zhang – Asia-Pacific Education Researcher, 2024
While studies on teacher written feedback and automated writing evaluation (AWE) feedback have proliferated in recent decades, little attention has been paid to how AWE-teacher integrated feedback would influence students' engagement and their writing performance in second language (L2) writing. Against this backdrop, a quasi-experimental design…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
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