NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 211 to 225 of 1,532 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Joshua Matthews; Catherine Rita Volpe – Australasian Journal of Educational Technology, 2023
Artificial intelligence (AI) technology, such as Chat Generative Pre-trained Transformer (ChatGPT), is evolving quickly and having a significant impact on the higher education sector. Although the impact of ChatGPT on academic integrity processes is a key concern, little is known about whether academics can reliably recognise texts that have been…
Descriptors: Artificial Intelligence, Natural Language Processing, Identification, Teacher Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Kotlyar, Igor; Sharifi, Tina; Fiksenbaum, Lisa – International Journal of Artificial Intelligence in Education, 2023
Teamwork skills are commonly evaluated by human assessors, which can be logistically challenging and resource intensive. Technological advancements provide an opportunity for a new assessment method -- virtual behavioural simulations with self-scoring algorithms. This study explores whether a rule-based algorithm can match human assessors at…
Descriptors: Algorithms, Undergraduate Students, Computer Simulation, Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Mo Chen; Jolene Hyppa-Martin; H. Timothy Bunnell; Jason Lilley; Celestine Foo; Han Wei Tan; Wei Shun Lim – Augmentative and Alternative Communication, 2023
Voice banking involves recording an inventory of sentences produced via natural speech. The recordings are used to create a synthetic text-to-speech voice that can be installed on speech-generating devices. This study highlights a minimally researched, clinically relevant issue surrounding the development and evaluation of Singaporean-accented…
Descriptors: Foreign Countries, Audio Equipment, Adults, Participant Satisfaction
Ying Fang; Rod D. Roscoe; Danielle S. McNamara – Grantee Submission, 2023
Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Jeon, Jaeho; Lee, Seongyong – Education and Information Technologies, 2023
Artificial Intelligence (AI) is developing in a manner that blurs the boundaries between specific areas of application and expands its capability to be used in a wide range of applications. The public release of ChatGPT, a generative AI chatbot powered by a large language model (LLM), represents a significant step forward in this direction.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rashid, M. Parvez; Xiao, Yunkai; Gehringer, Edward F. – International Educational Data Mining Society, 2022
Peer assessment can be a more effective pedagogical method when reviewers provide quality feedback. But what makes feedback helpful to reviewees? Other studies have identified quality feedback as focusing on detecting problems, providing suggestions, or pointing out where changes need to be made. However, it is important to seek students'…
Descriptors: Peer Evaluation, Feedback (Response), Natural Language Processing, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Xie, Cong; Luchini, Simone; Beaty, Roger E.; Du, Ying; Liu, Chunyu; Li, Yadan – Creativity Research Journal, 2022
Evidence from fMRI research indicates that individual creative thinking ability -- defined as performance on divergent thinking tasks, subjectively assessed by human raters -- can be predicted based on the strength of functional connectivity (FC) between the brain's default mode network (DMN) and frontoparietal control network (FPCN). Here, we…
Descriptors: Creativity, Creative Thinking, Natural Language Processing, Spectroscopy
Peer reviewed Peer reviewed
Direct linkDirect link
Firoozi, Tahereh; Bulut, Okan; Epp, Carrie Demmans; Naeimabadi, Ali; Barbosa, Denilson – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) using neural networks has helped increase the accuracy and efficiency of scoring students' written tasks. Generally, the improved accuracy of neural network approaches has been attributed to the use of modern word embedding techniques. However, which word embedding techniques produce higher accuracy in AES systems…
Descriptors: Computer Assisted Testing, Scoring, Essays, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Castrillon, Sir-Alexci Suarez; Peñaranda, Marta Milena Peñaranda; Castrillon, Albert Miyer Suarez – Journal of Language and Linguistic Studies, 2022
An investigation is presented through the processing of natural language and text analysis found in the abstracts of the educational publication Profundidad of the Faculty of Administrative and Economic Sciences at the Universidad Francisco de Paula Santander Ocaña. The indicators analysed are magnitude, year of publication, importance weighting…
Descriptors: Foreign Countries, Citations (References), Citation Analysis, Publications
Peer reviewed Peer reviewed
Direct linkDirect link
Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Allie Michael; Abdullah O. Akinde – Assessment Update, 2024
Open-ended responses to surveys can be highly beneficial to higher education institutions, providing clarity and context that quantitative data can sometimes lack. However, analyzing open-ended responses typically takes time and manpower most institutional assessment offices do not have to spare. This study focused on finding a potential solution…
Descriptors: Artificial Intelligence, Natural Language Processing, Student Surveys, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Cerstin Mahlow; Malgorzata Anna Ulasik; Don Tuggener – Reading and Writing: An Interdisciplinary Journal, 2024
Producing written texts is a non-linear process: in contrast to speech, writers are free to change already written text at any place at any point in time. Linguistic considerations are likely to play an important role, but so far, no linguistic models of the writing process exist. We present an approach for the analysis of writing processes with a…
Descriptors: Writing Processes, Methods, Sentences, Evaluation Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sha Gao – International Review of Research in Open and Distributed Learning, 2024
Artificial Intelligence (AI), as an innovation in technology, has greatly affected human life. AI applications such as ChatGPT have been used in different fields, particularly education. However, the use of AI applications to enhance undergraduate students' academic emotions and test anxiety has not been appropriately investigated. This study…
Descriptors: Artificial Intelligence, Undergraduate Students, Test Anxiety, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Sezer Kanbul; Idris Adamu; Yakubu Bala Mohammed – SAGE Open, 2024
This article presents a research investigation focusing on the effects of ChatGPT utilization on sustainable education and development. The study employed five machine learning (XGBoost, RF, SVM, GBDT, and ANN) models for predicting the impacts of ChatGPT usage in education, aiming at identifying the potential benefits of ChatGPT usage on…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Sustainable Development
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mohammad Hmoud; Hadeel Swaity; Eman Anjass; Eva María Aguaded-Ramírez – Electronic Journal of e-Learning, 2024
This research aimed to develop and validate a rubric to assess Artificial Intelligence (AI) chatbots' effectiveness in accomplishing tasks, particularly within educational contexts. Given the rapidly growing integration of AI in various sectors, including education, a systematic and robust tool for evaluating AI chatbot performance is essential.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Test Construction
Pages: 1  |  ...  |  11  |  12  |  13  |  14  |  15  |  16  |  17  |  18  |  19  |  ...  |  103