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Ernesto Panadero; Alazne Fernández Ortube; Rebecca Krebs; Julian Roelle – Assessment & Evaluation in Higher Education, 2025
Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…
Descriptors: Scoring Rubrics, Teaching Methods, Learning Processes, Feedback (Response)
Eran Hadas; Arnon Hershkovitz – Journal of Learning Analytics, 2025
Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…
Descriptors: Creativity, Evaluation Methods, Computer Assisted Testing, Artificial Intelligence
Jenny L. Richmond; Kate Nicholls – Teaching of Psychology, 2025
Background: With the arrival of generative artificial intelligence (genAI) tools, psychology educators are rethinking their assessment practices. Objective: This paper describes one approach to integrating genAI into an assessment designed to promote psychological literacy. Method: Students used ChatGPT to generate a media release about a…
Descriptors: Artificial Intelligence, Scoring Rubrics, Computer Software, Learning Processes
Kevin C. Haudek; Xiaoming Zhai – International Journal of Artificial Intelligence in Education, 2024
Argumentation, a key scientific practice presented in the "Framework for K-12 Science Education," requires students to construct and critique arguments, but timely evaluation of arguments in large-scale classrooms is challenging. Recent work has shown the potential of automated scoring systems for open response assessments, leveraging…
Descriptors: Accuracy, Persuasive Discourse, Artificial Intelligence, Learning Management Systems
Tahereh Firoozi; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2023
The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…
Descriptors: Turkish, Writing Evaluation, Essays, Accuracy
Reagan Mozer; Luke Miratrix; Jackie Eunjung Relyea; James S. Kim – Journal of Educational and Behavioral Statistics, 2024
In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…
Descriptors: Scoring, Evaluation Methods, Writing Evaluation, Comparative Analysis
Mayo Beltrán, Alba Mª; Fernández Sánchez, María Jesús; Montanero Fernández, Manuel; Martín Parejo, David – Practical Assessment, Research & Evaluation, 2022
This study compares the effects of two resources, a paper rubric (CR) or the comment bubbles from a word processor (CCB), to support peer co-evaluation of expository texts in primary education. A total of 57 students wrote a text which, after a peer co-evaluation process, was rewritten. To analyze the improvements in the texts, we used a rubric…
Descriptors: Scoring Rubrics, Evaluation Methods, Word Processing, Computer Software
Taylor, Gemma; Kolak, Joanna; Bent, Eve M.; Monaghan, Padraic – British Journal of Educational Technology, 2022
In the present paper, we assess whether website rating systems are useful for selecting educational apps for preschool age children. We selected the 10 highest scoring and 10 lowest scoring apps for 2-4-year-olds from two widely used websites (Good App Guide; Common Sense Media). Apps rated highly by the two websites had a higher educational…
Descriptors: Computer Software, Preschool Children, Psycholinguistics, Feedback (Response)
Paquot, Magali; Rubin, Rachel; Vandeweerd, Nathan – Language Learning, 2022
The main objective of this Methods Showcase Article is to show how the technique of adaptive comparative judgment, coupled with a crowdsourcing approach, can offer practical solutions to reliability issues as well as to address the time and cost difficulties associated with a text-based approach to proficiency assessment in L2 research. We…
Descriptors: Comparative Analysis, Decision Making, Language Proficiency, Reliability
Graham, Alison I.; Harner, Christie; Marsham, Sara – Assessment & Evaluation in Higher Education, 2022
Student frustration with the level and content of feedback is well-noted, especially in relation to new or unfamiliar assessment types. At the same time, students are often unlikely to engage with marking and feedback processes, including the use of rubrics or marking criteria before submission. The aim of this project was to build students'…
Descriptors: Student Evaluation, Evaluation Methods, Feedback (Response), Learner Engagement
Meepung, Tippawan; Pratsri, Sajeewan – International Education Studies, 2022
The objectives of this research were to (1) develop virtual commerce using the design thinking process to promote modern entrepreneurship, (2) carry out a suitability assessment of this process, and (3) evaluate digital entrepreneurship competency (DEC). The research process was therefore divided into 3 phases in accordance with these aims. The…
Descriptors: Entrepreneurship, Business Administration, Design, Thinking Skills
Han, Chao; Lu, Xiaolei – Computer Assisted Language Learning, 2023
The use of translation and interpreting (T&I) in the language learning classroom is commonplace, serving various pedagogical and assessment purposes. Previous utilization of T&I exercises is driven largely by their potential to enhance language learning, whereas the latest trend has begun to underscore T&I as a crucial skill to be…
Descriptors: Translation, Computational Linguistics, Correlation, Language Processing
Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
Bahi, Halima; Necibi, Khaled – International Journal of Computer-Assisted Language Learning and Teaching, 2020
Pronunciation teaching is an important stage in language learning activities. This article tackles the pronunciation scoring problem where research has demonstrated relatively low human-human and low human-machine agreement rates, which makes teachers skeptical about their relevance. To overcome these limitations, a fuzzy combination of two…
Descriptors: Oral Reading, Reading Fluency, Pronunciation, Learning Activities
Mehri Kamrood, Ali; Davoudi, Mohammad; Ghaniabadi, Saeed; Amirian, Seyyed Mohammad Reza – Computer Assisted Language Learning, 2021
Dynamic Assessment (DA) is proposed as a workable diagnostic tool in second or foreign language context. Compared to traditional non-dynamic testing, DA presents a more comprehensive account of human beings' abilities through addressing both the fully internalized abilities and the abilities that are in the process of being internalized. However,…
Descriptors: Language Tests, Computer Assisted Testing, Second Language Learning, Second Language Instruction