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Mücahit Öztürk; Erkan Yüce; Pinar Mihci Türker – Technology, Knowledge and Learning, 2025
This study investigated the impact of online peer and teacher feedback on students' self-regulated learning and analysed students' perceptions of online peer feedback on self-regulated learning development. The study employed a mixed method by collecting quantitative and qualitative data together. The study comprised 45 pre-service English as a…
Descriptors: Computer Mediated Communication, Peer Evaluation, Feedback (Response), Independent Study
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Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines the use of artificial intelligence-based assessment systems in education and their impact on student achievement. AI technologies make the learning experience more compelling by monitoring and evaluating student performance through data analysis and machine learning, thereby individualizing the assessment process. This study…
Descriptors: Artificial Intelligence, Student Evaluation, Academic Achievement, Computer Uses in Education
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Kyle D. S. Maclean; Tiffany Bayley – INFORMS Transactions on Education, 2024
We introduce a novel type of assessment that allows for efficient grading of higher order thinking skills. In this assessment, a student reviews and corrects a technical memo that has errors in its formulation or process. To overcome the grading challenges imposed by essay-type responses in large undergraduate courses, we provide a Visual Basic…
Descriptors: Undergraduate Students, Thinking Skills, Test Construction, Error Correction
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Sam Ford; Mohamed Allali – International Journal of Mathematical Education in Science and Technology, 2023
Studies across a variety of educational fields have shown the efficacy of feedback on student performance and learning. Web-based homework is a common feature of secondary and collegiate mathematics courses to provide such feedback. While web-based homework provides often instantaneous feedback to students as they complete assignments, the…
Descriptors: Intelligent Tutoring Systems, Feedback (Response), Equations (Mathematics), Homework
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Ivana Cimermanová; Dajana Jelavic – Advanced Education, 2024
Reflective learning is an important factor that has a positive impact on students' learning efficacy. The study aims to bring insight into the use of e-portfolios as a means and tool to promote reflection in the classroom and build self-reflection habits, plan learning activities and build learning autonomy. Mahara e-portfolio was used during the…
Descriptors: Foreign Countries, Secondary School Students, Portfolios (Background Materials), Computer Uses in Education
Reiner Villena Bernabe – Online Submission, 2025
The Present Levels of Academic Achievement and Functional Performance (PLAAFP) section in Individualized Education Programs (IEPs) is critical for aligning educational goals with students' current capabilities and needs. However, inconsistencies and legal deficiencies in PLAAFP statements persist due to inadequate data collection and fragmented…
Descriptors: Individualized Education Programs, Records (Forms), Feedback (Response), Compliance (Legal)
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Sally E. Jordan; John P. R. Bolton – International Journal of Assessment Tools in Education, 2024
The study investigated the impact on student engagement and achievement of a "formative thresholded" continuous assessment strategy in which students had to meet a modest threshold, but their continuous assessment marks did not contribute to their final grade. Students were free to choose their own blend of tutor-marked and…
Descriptors: Learner Engagement, Academic Achievement, Assignments, Feedback (Response)
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Goran Trajkovski; Heather Hayes – Digital Education and Learning, 2025
This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…
Descriptors: Artificial Intelligence, Educational Assessment, Computer Uses in Education, Test Format
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Joy Robbins; Milena Marinkova – Practitioner Research in Higher Education, 2023
While studies have extolled the value of using online rubrics, the benefits have usually been presented in terms of enhancing marking or delivery of teacher feedback. These benefits are welcome, but they nonetheless couch digital as simply an improved way for "old paradigm" transmission approaches to feedback that do little to help…
Descriptors: Scoring Rubrics, Barriers, Feedback (Response), Information Literacy
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Lonneke Boels; Enrique Garcia Moreno-Esteva; Arthur Bakker; Paul Drijvers – International Journal of Artificial Intelligence in Education, 2024
As a first step toward automatic feedback based on students' strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students' gazes. A previous study showed how students' task-specific strategies can be inferred from their gazes. The research question addressed in the present article is how data…
Descriptors: Eye Movements, Learning Strategies, Problem Solving, Automation
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Idit Adler; Scott Warren; Cathleen Norris; Elliot Soloway – Smart Learning Environments, 2025
Smart learning environments provide students with opportunities to engage in self-regulated learning (SRL). However, little research has examined how teachers leverage these opportunities. We employed a multiple-case study methodology to examine the SRL supporting instructional practices of five third-grade teachers as they implemented a science…
Descriptors: Elementary School Students, Elementary School Teachers, Grade 3, Independent Study
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Murad Abdu Saeed; Mohammed Abdullah Alharbi – Innovations in Education and Teaching International, 2025
Recently, audio-visual feedback produced through screencast technology has received increasing attention. Yet, as opposed to synchronous (immediate) and bi-directional (a two-way process) audio-visual feedback, most recent research has focused on asynchronous (delayed) and unidirectional (a one-way process) audio-visual feedback. Therefore, this…
Descriptors: Formative Evaluation, Synchronous Communication, Asynchronous Communication, Feedback (Response)
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Kirk P. Vanacore; Ashish Gurung; Adam C. Sales; Neil T. Heffernan – Grantee Submission, 2024
Gaming the system is a persistent problem in Computer-Based Learning Platforms. While substantial progress has been made in identifying and understanding such behaviors, effective interventions scarce. This study uses a method of causal moderation known as Fully Latent Principal Stratification to explore the impact of two types of interventions --…
Descriptors: Gamification, Student Behavior, Computer Uses in Education, Intervention
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Kirk P. Vanacore; Ashish Gurung; Adam C. Sales; Neil T. Heffernan – Journal of Educational Data Mining, 2024
Gaming the system is a persistent problem in Computer-Based Learning Platforms. While substantial progress has been made in identifying and understanding such behaviors, effective interventions remain scarce. This study uses a method of causal moderation known as Fully Latent Principal Stratification to explore the impact of two types of…
Descriptors: Gamification, Student Behavior, Computer Uses in Education, Intervention
Ashish Gurung; Morgan P. Lee; Sami Baral; Adam C. Sales; Kirk P. Vanacore; Andrew A. McReynolds; Hilary Kreisberg; Cristina Heffernan; Aaron Haim; Neil T. Heffernan – Grantee Submission, 2023
Solving mathematical problems is cognitively complex, involving strategy formulation, solution development, and the application of learned concepts. However, gaps in students' knowledge or weakly grasped concepts can lead to errors. Teachers play a crucial role in predicting and addressing these difficulties, which directly influence learning…
Descriptors: Error Patterns, Mathematical Applications, Grade 6, Grade 7
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