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Yan, Da – Education and Information Technologies, 2023
Technology-enhanced language learning has exerted positive effects on the performance and engagement of L2 learners. Since the advent of tools based on recent advancement in artificial intelligence (AI), educators have made major strides in applying state-of-the-art technologies to writing classrooms. In November 2022, an AI-powered chatbot named…
Descriptors: Artificial Intelligence, Second Language Learning, Writing Instruction, Practicums
Pearson, Christopher; Penna, Nigel – Assessment & Evaluation in Higher Education, 2023
E-assessments are becoming increasingly common and progressively more complex. Consequently, how these longer, more complex questions are designed and marked is imperative. This article uses the NUMBAS e-assessment tool to investigate the best practice for creating longer questions and their mark schemes on surveying modules taken by engineering…
Descriptors: Automation, Scoring, Engineering Education, Foreign Countries
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
Rojas, Matias; Sáez, Cristian; Baier, Jorge; Nussbaum, Miguel; Guerrero, Orlando; Rodríguez, María Fernanda – International Journal of Artificial Intelligence in Education, 2023
Collaborative Problem-Solving Skills (CPS) have become increasingly important. Research into the development of CPS is still scarce, but there are several approaches that may be useful for its development. Specifically, providing feedback in collaborative contexts is key. In this paper, we study and develop a feedback system that uses Automated…
Descriptors: Feedback (Response), Cooperation, Problem Solving, Video Games
Philip I. Pavlik; Luke G. Eglington – Grantee Submission, 2023
This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…
Descriptors: Students, Models, Regression (Statistics), Alternative Assessment
Philip I. Pavlik; Luke G. Eglington – International Educational Data Mining Society, 2023
This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…
Descriptors: Students, Models, Regression (Statistics), Alternative Assessment
Saha, Sujan Kumar; Rao C. H., Dhawaleswar – Interactive Learning Environments, 2022
Assessment plays an important role in education. Recently proposed machine learning-based systems for answer grading demand a large training data which is not available in many application areas. Creation of sufficient training data is costly and time-consuming. As a result, automatic long answer grading is still a challenge. In this paper, we…
Descriptors: Middle School Students, Grading, Artificial Intelligence, Automation
Bulut, Okan; Yildirim-Erbasli, Seyma Nur – International Journal of Assessment Tools in Education, 2022
Reading comprehension is one of the essential skills for students as they make a transition from learning to read to reading to learn. Over the last decade, the increased use of digital learning materials for promoting literacy skills (e.g., oral fluency and reading comprehension) in K-12 classrooms has been a boon for teachers. However, instant…
Descriptors: Reading Comprehension, Natural Language Processing, Artificial Intelligence, Automation
Anson, Chris M. – Composition Studies, 2022
Student plagiarism has challenged educators for decades, with heightened paranoia following the advent of the Internet in the 1980's and ready access to easily copied text. But plagiarism will look like child's play next to new developments in AI-based natural-language processing (NLP) systems that increasingly appear to "write" as…
Descriptors: Plagiarism, Artificial Intelligence, Natural Language Processing, Writing Assignments
Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Review of Research in Open and Distributed Learning, 2022
As large-scale, sophisticated open and distance learning environments expand in higher education globally, so does the need to support learning at scale in real time. Valid, reliable rubrics of critical discourse are an essential foundation for developing artificial intelligence tools that automatically analyse learning in educator-student…
Descriptors: Validity, Scoring Rubrics, Automation, Classification
McCaffrey, Daniel F.; Casabianca, Jodi M.; Ricker-Pedley, Kathryn L.; Lawless, René R.; Wendler, Cathy – ETS Research Report Series, 2022
This document describes a set of best practices for developing, implementing, and maintaining the critical process of scoring constructed-response tasks. These practices address both the use of human raters and automated scoring systems as part of the scoring process and cover the scoring of written, spoken, performance, or multimodal responses.…
Descriptors: Best Practices, Scoring, Test Format, Computer Assisted Testing
Costa, Newarney Torrezão; de Almeida, Denis José; Oliveira, Gustavo Prado; Fernandes, Márcia Aparecida – International Journal of Distance Education Technologies, 2022
Personalized sequencing and recommendation of pedagogical actions in virtual learning environments are relevant aspects in promoting an effective learning process with computer-aided support. Hence, this work investigates the use of automated planning to sequence these actions according to student profiles. Actions are modeled to correspond to the…
Descriptors: Automation, Planning, Electronic Learning, Cognitive Processes
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
Kalenda, Jan; Kocvarová, Ilona – International Journal of Lifelong Education, 2022
The participation of adults in lifelong learning has undergone significant development in the last few years, with the percentage of adults participating in non-formal education (NFE) risen dramatically. Within this empirical context, this study conceptualises and interconnects the theory of Ulrich Beck's risk society with the main trends in…
Descriptors: Nonformal Education, Risk, Participation, Lifelong Learning
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