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Corinna Jaschek; Julia von Thienen; Kim-Pascal Borchart; Christoph Meinel – Creativity Research Journal, 2023
The automation of creativity measurement is a promising avenue of development, given that classic creativity assessments face challenges such as resource-intensive expert judgments, subjective creativity ratings, and biases in people's self-reports. In this paper, we present a construct validation study for CollaboUse, a test developed to deliver…
Descriptors: Automation, Creativity Tests, Cooperation, Construct Validity
Kangkang Li; Chengyang Qian; Xianmin Yang – Education and Information Technologies, 2025
In learnersourcing, automatic evaluation of student-generated content (SGC) is significant as it streamlines the evaluation process, provides timely feedback, and enhances the objectivity of grading, ultimately supporting more effective and efficient learning outcomes. However, the methods of aggregating students' evaluations of SGC face the…
Descriptors: Student Developed Materials, Educational Quality, Automation, Artificial Intelligence
Guher Gorgun; Okan Bulut – Education and Information Technologies, 2024
In light of the widespread adoption of technology-enhanced learning and assessment platforms, there is a growing demand for innovative, high-quality, and diverse assessment questions. Automatic Question Generation (AQG) has emerged as a valuable solution, enabling educators and assessment developers to efficiently produce a large volume of test…
Descriptors: Computer Assisted Testing, Test Construction, Test Items, Automation
Hossein Kermani; Alireza Bayat Makou; Amirali Tafreshi; Amir Mohamad Ghodsi; Ali Atashzar; Ali Nojoumi – International Journal of Social Research Methodology, 2024
Despite the increasing adaption of automated text analysis in communication studies, its strengths and weaknesses in framing analysis are so far unknown. Fewer efforts have been made to automatic detection of networked frames. Drawing on the recent developments in this field, we harness a comparative exploration, using Latent Dirichlet Allocation…
Descriptors: COVID-19, Pandemics, Automation, Foreign Countries
Rahaman, Md. Afzalur; Hoque, Abu Sayed Md. Latiful – International Journal of Learning Technology, 2022
For the last decades, programming courses are being taught in nearly every educational sector. Students are now more likely to use an e-learning platform compared to traditional system because of lower internet costs, remote access, and faster communication facilities. For a programming course studied in both manual and e-learning platforms,…
Descriptors: Evaluation Methods, Programming, Assignments, Automation
Wallace N. Pinto Jr.; Jinnie Shin – Journal of Educational Measurement, 2025
In recent years, the application of explainability techniques to automated essay scoring and automated short-answer grading (ASAG) models, particularly those based on transformer architectures, has gained significant attention. However, the reliability and consistency of these techniques remain underexplored. This study systematically investigates…
Descriptors: Automation, Grading, Computer Assisted Testing, Scoring
Soomaiya Hamid; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
E-learning is the process of sharing knowledge out of the traditional classrooms through different online tools using internet. The availability and use of these tools are not easy for every student. Many institutions gather e-learning feedback to know the problems of students to improve their systems. In e-learning systems, typically a high…
Descriptors: Feedback (Response), Electronic Learning, Automation, Classification
Marrone, Rebecca; Cropley, David H.; Wang, Z. – Creativity Research Journal, 2023
Creativity is now accepted as a core 21st-century competency and is increasingly an explicit part of school curricula around the world. Therefore, the ability to assess creativity for both formative and summative purposes is vital. However, the "fitness-for-purpose" of creativity tests has recently come under scrutiny. Current creativity…
Descriptors: Automation, Evaluation Methods, Creative Thinking, Mathematics Education
Thomas, Chinchu; Jayagopi, Dinesh Babu – IEEE Transactions on Learning Technologies, 2022
Effective presentation skills are an important ability for students and professionals to possess. Automatic analysis of presentation skills can help provide feedback to a speaker, and a complete analysis is possible only with both speaker and audience measurement. In this article, we propose a methodology to predict presentation skills on a small…
Descriptors: Public Speaking, Prediction, Automation, Video Technology
Barthakur, Abhinava; Kovanovic, Vitomir; Joksimovic, Srecko; Zhang, Zhonghua; Richey, Michael; Pardo, Abelardo – British Journal of Educational Technology, 2022
Technological affordances have shown promising potential in advancing the delivery of corporate learning programmes designed for professional leadership development. However, there is a considerable challenge in evaluating learners' skill acquisition, with most of the past research relying on pre- and post-tests or other forms of self-reports to…
Descriptors: Leadership, Workplace Learning, Computer Assisted Testing, Evaluation Methods
Guher Gorgun; Okan Bulut – Educational Measurement: Issues and Practice, 2025
Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…
Descriptors: Artificial Intelligence, Quality Control, Technology Uses in Education, Automation
Hunkoog Jho; Minsu Ha – Journal of Baltic Science Education, 2024
This study aimed at examining the performance of generative artificial intelligence to extract argumentation elements from text. Thus, the researchers developed a web-based framework to provide automated assessment and feedback relying on a large language model, ChatGPT. The results produced by ChatGPT were compared to human experts across…
Descriptors: Feedback (Response), Artificial Intelligence, Persuasive Discourse, Models
Cathy Cavanaugh; Bryn Humphrey; Paige Pullen – International Journal on E-Learning, 2024
To address needs in one US state to provide a professional development micro-credential for tens of thousands of educators, we automated an assignment scoring workflow in an online course by developing and refining an AI model to scan submitted assignments and score them against a rubric. This article outlines the AI model development process and…
Descriptors: Artificial Intelligence, Automation, Scoring, Microcredentials
Diego Airado-Rodri´guez; David Mun~oz de la Pen~a; Isabel Dura´n-Mera´s; Jaime Domi´nguez Manzano; Arsenio Mun~oz de la Pen~a – Journal of Chemical Education, 2022
In this paper, the development of an automatic assessor is presented, both in MATLAB and in Excel, for an analytical exercise. In particular, the emulation of an interlaboratory exercise, using the analytical determination of phosphorus in a dry detergent, carried out in the laboratory by different groups of students, was selected as a case of…
Descriptors: Electronic Learning, Chemistry, Evaluation Methods, Computer Assisted Instruction
Jiseung Yoo; Jisun Park; Minsu Ha; Chelcea Mae Lagmay Darang – SAGE Open, 2024
In the context of formative assessment in classrooms, the incorporation of automated evaluation (AE) systems and teachers' interactions with them hold significant importance. This study aimed to investigate the cognitive processes of pre-service teachers as they engaged with an AE system. We developed an unsupervised learning-based AE system, the…
Descriptors: Preservice Teachers, Cognitive Processes, Automation, Supervision