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Suzanne Estaphan; David Kramer; Harry J. Witchel – Advances in Physiology Education, 2025
The rise of artificial intelligence (AI) is transforming educational practices, particularly in assessment. While AI may support the students in idea generation and summarization of source materials, it also introduces challenges related to content validity, academic integrity, and the development of critical thinking skills. Educators need…
Descriptors: Artificial Intelligence, Assignments, Student Evaluation, Computer Literacy
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Ainhoa Alvarez; Mikel Villamañe – Interactive Learning Environments, 2024
Assessment is a key element in any course, and providing students with a balance between formative and summative assessments is crucial. Defining such a process is a complex task for teachers and often entails a great workload. This makes it necessary to have tools to help in the assessment process definition and its monitoring. This paper first…
Descriptors: Open Source Technology, Learning Management Systems, Student Evaluation, College Students
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Ramy Shabara; Khaled ElEbyary; Deena Boraie – Teaching English with Technology, 2024
Although there are claims that ChatGPT, an AI-based language model, is capable of assessing the writing of L2 learners accurately and consistently in the classroom, a number of recent studies have shown discrepancies between AI and human raters. Furthermore, there is a lack of studies investigating the intrareliability of ChatGPT scores.…
Descriptors: Foreign Countries, Artificial Intelligence, Scoring Rubrics, Student Evaluation
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Mitra, Sugata; Dangwal, Ritu – Journal of Learning for Development, 2022
The scores obtained by students in examinations where internet access was allowed during the examination were compared with the scores obtained in traditional examinations where no assistance was allowed. These scores were then compared with those obtained in a standardised school examination on the same topic or subject, taken by the same…
Descriptors: Internet, Access to Computers, Tests, Scores
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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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Julia VanderMolen; Kim Howard – Journal of Health Education Teaching, 2024
Purpose: This project explains how students in a graduate-level health literacy and advocacy course can benefit from the design and development of a digital literacy data visualization. Additionally, this study seeks to look into the perceived worth of developing a lesson on digital literacy, health literacy, and data visualization to assist…
Descriptors: Graduate Students, Health Education, Digital Literacy, Multiple Literacies
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Tatli, Zeynap; Turan, Seyma; Yaman, Havva; Er-Nas, Sibel – Journal of Theoretical Educational Science, 2022
The aim of this research is to reveal the features of a Web 2.0 tool for measurement and evaluation that will be developed for primary education teachers, in line with the opinions of experts from the Department of Computer Education and Instructional Technology (CEIT) and Primary Education (PE). Case study is one of the qualitative research…
Descriptors: Web 2.0 Technologies, Elementary School Teachers, Measures (Individuals), Student Evaluation
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Azevedo, Beatriz Flamia; Pereira, Ana I.; Fernandes, Florbela P.; Pacheco, M. Fatima – Education and Information Technologies, 2022
Universities are encouraging the implementation of innovative methodologies and teaching strategies to develop an interactive and appealing educational environment where students are the focus of the learning process. In such a personalised learning environment, an increase of the students' engagement and the improvement of the outcomes arise.…
Descriptors: Student Evaluation, College Students, Individualized Instruction, Mathematics Achievement
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Bo Pei; Ying Cheng; Alex Ambrose; Eva Dziadula; Wanli Xing; Jie Lu – Smart Learning Environments, 2024
The availability of large-scale learning data presents unprecedented opportunities for investigating student learning processes. However, it is challenging for instructors to fully make sense of this data and effectively support their teaching practices. This study introduces LearningViz, an interactive learning analytics dashboard to help…
Descriptors: Learning Analytics, Learning Management Systems, Computer Uses in Education, Educational Technology
Schonberg, Christina – Online Submission, 2023
IXL is an end-to-end teaching and learning solution that engages learners in grades Pre-K through 12 with a comprehensive curriculum and a first-of-its-kind assessment suite. A core component of IXL's assessment suite is the IXL Diagnostic, an interim assessment designed by a team of educators and mathematicians that uses Item Response Theory…
Descriptors: Academic Achievement, Achievement Tests, Computer Uses in Education, Elementary School Students
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Noyes, Keenan; McKay, Robert L.; Neumann, Matthew; Haudek, Kevin C.; Cooper, Melanie M. – Journal of Chemical Education, 2020
Computer-assisted analysis of students' written responses to questions is becoming a possibility due to developments in technology. This could make such constructed response questions more feasible for use in large classrooms where multiple choice assessments are often considered a more practical option. In this study, we use a previously…
Descriptors: Automation, Artificial Intelligence, Computer Uses in Education, Classification
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Kumar, Vivekanandan S.; Boulanger, David – International Journal of Artificial Intelligence in Education, 2021
This article investigates the feasibility of using automated scoring methods to evaluate the quality of student-written essays. In 2012, Kaggle hosted an Automated Student Assessment Prize contest to find effective solutions to automated testing and grading. This article: a) analyzes the datasets from the contest -- which contained hand-graded…
Descriptors: Automation, Scoring, Essays, Writing Evaluation
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Trepule, Elena; Volungeviciene, Airina; Tereseviciene, Margarita; Greenspon, Rasa; Costa, Nilza – Informatics in Education, 2021
The main goal of this research is to enhance the understanding of quality criteria for DB metadata for assessment and recognition as factors increasing their value in higher education (HE). To attain this goal, a case study approach centered in one HE institution was used, aiming (a) at an analysis of the "status quo" description of…
Descriptors: Educational Technology, Computer Uses in Education, Recognition (Achievement), Metadata
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Shiroda, Megan; Uhl, Juli D.; Urban-Lurain, Mark; Haudek, Kevin C. – Journal of Science Education and Technology, 2022
Constructed response (CR) assessments allow students to demonstrate understanding of complex topics and provide teachers with deeper insight into student thinking. Computer scoring models (CSMs) remove the barrier of increased time and effort, making CR more accessible. As CSMs are commonly created using responses from research-intensive colleges…
Descriptors: Responses, Student Evaluation, Scoring, Models
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Suchart Homjan; Wanida Homjan – International Journal of Education and Literacy Studies, 2025
This research aimed to investigate and develop an online system for educational measurement and evaluation with a focus on authentic assessment. The research process consisted of four main stages: (1) analyzing the current state and carrying out qualitative interviews on authentic assessment, (2) developing an online measurement and evaluation…
Descriptors: Foreign Countries, Student Evaluation, Computer Uses in Education, Computer Assisted Testing
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