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Showing 76 to 90 of 471 results Save | Export
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Mertens, Ute; Finn, Bridgid; Lindner, Marlit Annalena – Journal of Educational Psychology, 2022
Feedback is one of the most important factors for successful learning. Contemporary computer-based learning and testing environments allow the implementation of automated feedback in a simple and efficient manner. Previous meta-analyses suggest that different types of feedback are not equally effective. This heterogeneity might depend on learner…
Descriptors: Computer Assisted Testing, Feedback (Response), Electronic Learning, Network Analysis
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Polak, Katarzyna; Gielecki, Jerzy Stanislaw; Zurada, Anna – Anatomical Sciences Education, 2022
The affordances of technology-based assessments, like the objectively structured practical examination, have become an integral part of gross anatomy courses. The Department of Anatomy Faculty of Medicine at the University of Warmia and Mazury developed and introduced an application for tablet devices which has been implemented in student…
Descriptors: Foreign Countries, Medical Students, Handheld Devices, Telecommunications
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Qianru Li; Kan Kan Chan – Education and Information Technologies, 2024
Mobile-assisted Language Learning (MALL) has been widely adopted in teaching and learning, yet there has been scant research concerning speaking test adaptation. An emerging type of mobile application is designed to facilitate test takers' performance in a high-stakes speaking test (e.g., the International English Language Testing System (IELTS)).…
Descriptors: Student Attitudes, Test Wiseness, Computer Assisted Testing, Handheld Devices
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Lu, Chang; Cutumisu, Maria – International Educational Data Mining Society, 2021
Digitalization and automation of test administration, score reporting, and feedback provision have the potential to benefit large-scale and formative assessments. Many studies on automated essay scoring (AES) and feedback generation systems were published in the last decade, but few connected AES and feedback generation within a unified framework.…
Descriptors: Learning Processes, Automation, Computer Assisted Testing, Scoring
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Song, Yi; Zhu, Mengxiao; Sparks, Jesse R. – Journal of Educational Computing Research, 2023
In this research, we use a process data analysis approach to gather additional evidence about students' argumentation skills beyond their performance scores in a computer-based assessment. This game-enhanced scenario-based assessment (named Seaball) included five activities that require students to demonstrate their argumentation skills within a…
Descriptors: Data Analysis, Academic Achievement, Interaction, Performance
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Thomas, Leiah J. G.; Lee, Monica G.; Todd, Cate Smith; Lynch, Kathleen; Loeb, Susanna; McConnell, Scott; Carlis, Lydia – Journal of Early Intervention, 2022
Many preschool agencies nationwide continue to experience closures and/or conversions to virtual or hybrid instruction due to the ongoing coronavirus disease 2019 (COVID-19) pandemic. Despite the importance of understanding young children's learning and development during the COVID emergency, limited knowledge exists on adaptable practices for…
Descriptors: Preschool Education, Disadvantaged Youth, COVID-19, Pandemics
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Merhi, Mohammad I.; Meisami, Alex – Decision Sciences Journal of Innovative Education, 2022
This study examines the factors that impact learners' satisfaction with web-based assessment platforms designed by publishers. The research model investigates the intermediate role of autonomy and competency from the self-determination theory. The data are collected from 324 undergraduate business students in a mid-western U.S. institution who…
Descriptors: Undergraduate Students, Student Satisfaction, Computer Assisted Testing, Web Based Instruction
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Kusairi, Sentot – Journal of Technology and Science Education, 2020
Formative feedback plays an important role in assisting students in their learning process. However, administering information about student weaknesses and strengths is one of the challenges faced by teachers when implementing formative assessment. This study aims to develop a web-based formative feedback system that is able to provide specific…
Descriptors: Student Evaluation, Formative Evaluation, Feedback (Response), Computer Assisted Testing
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Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
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Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
Chan, Cecilia Ka Yuk – Routledge Research in Education, 2022
Chan's book explores the challenges in assessing experiential learning, deepens our understanding, and inspires readers to think critically about the purpose of assessment in experiential learning. Experiential learning has been studied and proven to be effective for student learning, particularly for the development of holistic competencies (i.e.…
Descriptors: Experiential Learning, Evaluation Methods, Student Evaluation, 21st Century Skills
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Haldeman, Georgiana; Babes-Vroman Monica; Tjang, Andrew; Nguyen, Thu D. – ACM Transactions on Computing Education, 2021
Autograding systems are being increasingly deployed to meet the challenges of teaching programming at scale. Studies show that formative feedback can greatly help novices learn programming. This work extends an autograder, enabling it to provide formative feedback on programming assignment submissions. Our methodology starts with the design of a…
Descriptors: Student Evaluation, Feedback (Response), Grading, Automation
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Hickey, Daniel; Harris, Tripp – Distance Education, 2021
Increased online learning is helping many appreciate that online grading, formative assessment, and summative testing can cause instructor burnout and leave little time for more productive instructor interactions. We reimagined grading, assessment, and testing in an extended program of design-based research using situative theory to refine online…
Descriptors: Computer Assisted Testing, Grading, Student Evaluation, Online Courses
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Myers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
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Coetzee, Stephen A.; Schmulian, Astrid; Janse van Rensburg, Cecile – Accounting Education, 2023
As a result of containment measures implemented during COVID-19, the authors needed to re-envision and restructure in-person assessments for learning that provided immediate peer feedback to students in their competency-based financial reporting course. Peer feedback is crucial in competency-based education, as mastering a competency necessitates…
Descriptors: Computer Mediated Communication, Peer Evaluation, Feedback (Response), Computer Assisted Testing
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