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Szilagyi, Jillian Allison – ProQuest LLC, 2023
The purpose of this narrative study was to explore primary teachers' perceptions about computer-based reading comprehension assessments to understand their adoption practices and any associated hesitancy around implementing computer-based assessments. As such, this study sought understand how primary teachers explain their experiences, challenges,…
Descriptors: Elementary School Teachers, Teacher Attitudes, Computer Assisted Testing, Reading Tests
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Saida Ulfa; Ence Surahman; Agus Wedi; Izzul Fatawi; Rex Bringula – Knowledge Management & E-Learning, 2025
Online assessment is one of the important factors in online learning today. An online summary assessment is an example of an open-ended question, offering the advantage of probing students' understanding of the learning materials. However, grading students' summary writings is challenging due to the time-consuming process of evaluating students'…
Descriptors: Knowledge Management, Automation, Documentation, Feedback (Response)
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Elize du Plessis; Rebecca Y. Bayeck – Journal of Teaching and Learning, 2025
Even while Artificial Intelligence (AI) has long been a part of our lives, it has recently received more attention thanks to the introduction of ChatGPT, a Chat Generative Pre-Trained Transformer, since its launch in November 2022. The focus of this study is to investigate the potential of ChatGPT to assess student-teacher learning, which looks at…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing
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Maria Fahlgren; Mats Brunström – International Journal of Mathematical Education in Science and Technology, 2025
This paper provides some insights into the use of example-generating tasks in the design of a technology-rich learning environment to enhance students' mathematical thinking. The paper reports on an early stage of a design-based research project concerning the design of tasks and associated feedback utilising the affordances provided by a combined…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Computer Software
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Shujun Liu; Azzeddine Boudouaia; Xinya Chen; Yan Li – Asia-Pacific Education Researcher, 2025
The application of Automated Writing Evaluation (AWE) has recently gained researchers' attention worldwide. However, the impact of AWE feedback on student writing, particularly in languages other than English, remains controversial. This study aimed to compare the impacts of Chinese AWE feedback and teacher feedback on Chinese writing revision,…
Descriptors: Foreign Countries, Middle School Students, Grade 7, Writing Evaluation
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Mohd Elmagzoub Eltahir; Nagaletchimee Annamalai; Arulselvi Uthayakumaran; Samer H. Zyoud; Antonia Ramírez García; Viktorija Mažeikiene; Bilal Zakarneh; Najeh Rajeh Al Salhi – SAGE Open, 2023
Online assessment is a new introduction in many developing countries during the COVID-19 pandemic, including Malaysia, Lithuania, and Spain. The current study conducted a phenomenology study to probe insights about fairness in online assessment. The interview data were interpreted from the perspective of social psychology theory that emphasizes…
Descriptors: Foreign Countries, COVID-19, Pandemics, Scoring Rubrics
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Chan, Cecilia Ka Yuk – Assessment & Evaluation in Higher Education, 2023
With the advances of technologies, possessing digital and information literacy is crucial for the selection of candidates by employers in this digital AI era. For most students, receiving and outputting electronic text has become the norm, and thus examinations with writing components done by hand may not accurately reflect their abilities. It…
Descriptors: Test Format, Handwriting, Stakeholders, Feedback (Response)
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Elaine Huber; Lynne Harris; Sue Wright; Amanda White; Corina Raduescu; Sandris Zeivots; Andrew Cram; Andrew Brodzeli – Assessment & Evaluation in Higher Education, 2024
With the recent and rapid transition to online teaching and learning in higher education, this explanatory study investigated the key design considerations used by business educators designing assessments suitable for online delivery. From a comprehensive literature review, we identified five key design considerations for online assessments: they…
Descriptors: Computer Assisted Testing, Business Education, Feedback (Response), Student Experience
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Candel, Carmen; Máñez, Ignacio; Cerdán, Raquel; Vidal-Abarca, Eduardo – Journal of Computer Assisted Learning, 2021
Elaborative feedback (EF) containing explanations on students' responses benefits learning. Computer-based environments provide learners with EF in different ways, for example, on an immediate question-by-question basis or after answering a set of questions. Recent findings also suggest that delaying EF enhances learning. However, it is unclear to…
Descriptors: Secondary School Students, Computer Assisted Testing, Multiple Choice Tests, Feedback (Response)
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Prendes-Espinosa, Paz; García-Tudela, Pedro A.; Gutiérrez-Porlán, Isabel – International Education Studies, 2022
Formative assessment is a strategy that optimizes the learning process at any educational level, however its use is not very frequent as literature revision shows. In this paper, we analyse the use of formative assessment in online postgraduate studies (masters) in Spanish universities. Our sample was 31 online master's degrees coordinators and we…
Descriptors: Foreign Countries, Formative Evaluation, Student Evaluation, Graduate Students
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Zur, Amir; Applebaum, Isaac; Nardo, Jocelyn Elizabeth; DeWeese, Dory; Sundrani, Sameer; Salehi, Shima – International Educational Data Mining Society, 2023
Detailed learning objectives foster an effective and equitable learning environment by clarifying what instructors expect students to learn, rather than requiring students to use prior knowledge to infer these expectations. When questions are labeled with relevant learning goals, students understand which skills are tested by those questions.…
Descriptors: Equal Education, Prior Learning, Educational Objectives, Chemistry
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Li, Xu; Ouyang, Fan; Liu, Jianwen; Wei, Chengkun; Chen, Wenzhi – Journal of Educational Computing Research, 2023
The computer-supported writing assessment (CSWA) has been widely used to reduce instructor workload and provide real-time feedback. Interpretability of CSWA draws extensive attention because it can benefit the validity, transparency, and knowledge-aware feedback of academic writing assessments. This study proposes a novel assessment tool,…
Descriptors: Computer Assisted Testing, Writing Evaluation, Feedback (Response), Natural Language Processing
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Kim, Hyojoon; Song, Jinwoong – Research in Science Education, 2023
Online learning overcomes space and time constraints; however, it presents challenges in teacher-learner interaction. This study explores the potential of feedback in online formative assessment (OFA) to enhance such interactions. This study identified different types of feedbacks and analyzed the characteristics of interactions between teachers,…
Descriptors: Teacher Student Relationship, Interaction, Computer Assisted Testing, Formative Evaluation
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Said Hadjerrouit; Celestine Ifeanyi Nnagbo – International Association for Development of the Information Society, 2023
The purpose of this paper is to investigate the affordances of the e-assessment system Numbas from an Activity Theory perspective. The study follows a qualitative research design combined with semi-structured interviews with six students and two teachers. The findings reveal that the students were able to perceive and actualise several affordances…
Descriptors: Student Evaluation, Computer Assisted Testing, Social Theories, Feedback (Response)
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Somers, Rick; Cunningham-Nelson, Samuel; Boles, Wageeh – Australasian Journal of Educational Technology, 2021
In this study, we applied natural language processing (NLP) techniques, within an educational environment, to evaluate their usefulness for automated assessment of students' conceptual understanding from their short answer responses. Assessing understanding provides insight into and feedback on students' conceptual understanding, which is often…
Descriptors: Natural Language Processing, Student Evaluation, Automation, Feedback (Response)
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