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Arif Nugroho; Erna Andriyanti; Pratomo Widodo; Ira Mutiaraningrum – Innovations in Education and Teaching International, 2025
This study aims to explore the students' experience with ChatGPT in providing scaffolding for writing essays. It also discloses students' appraisals of utilising ChatGPT. Drawing upon data from semi-structured interviews, this study involved 12 students learning English as a Foreign Language who utilised ChatGPT in academic writing classes. The…
Descriptors: Writing (Composition), Artificial Intelligence, Synchronous Communication, Computer Software
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Fatih Orçan – International Journal of Assessment Tools in Education, 2025
Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…
Descriptors: Factor Analysis, Factor Structure, Item Response Theory, Sample Size
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Lijie Tian; Yunan Ding; Xuewei Tian; Yuqing Chen; Jingying Wang – Assessment in Education: Principles, Policy & Practice, 2025
This study explores machine learning (ML) for assessing elementary students' scientific argumentation skills, addressing the inefficiency of traditional teacher-based evaluations. We developed tailored test questions and scoring rubrics, collecting data from sixth-graders in China. Four shallow learning algorithms (Polynomial Naive Bayes, k-NN,…
Descriptors: Artificial Intelligence, Elementary School Students, Science Process Skills, Persuasive Discourse
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Arzu Atasoy; Saieed Moslemi Nezhad Arani – Education and Information Technologies, 2025
There is growing interest in the potential of Artificial Intelligence (AI) to assist in various educational tasks, including writing assessment. However, the comparative efficacy of human and AI-powered systems in this domain remains a subject of ongoing exploration. This study aimed to compare the accuracy of human raters (teachers and…
Descriptors: Writing (Composition), Writing Evaluation, Student Evaluation, Artificial Intelligence
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Peter Daly; Emmanuelle Deglaire – Innovations in Education and Teaching International, 2025
AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, College Faculty
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Mundt, James C.; Smith, Jason W.; Ambroziak, Gina – Applied Cognitive Psychology, 2022
Post-conviction polygraph testing during sex offender (PCSOT) treatment is common. Ocular-motor deception testing (ODT) uses measures of cognitive load to assess credibility. The accuracy of ODT for discriminating deceptive from truthful response patterns in sexually violent persons was evaluated. Participants chose to 'steal' a voucher of…
Descriptors: Criminals, Sexual Abuse, Deception, Credibility
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Cho, Hye-Jung; Kiaer, Jieun; Choi, Naya; Song, Jieun – Journal of Child Language, 2022
In Korean language, questions containing ambiguous wh-words may be interpreted as either wh-questions or yes-no questions. This study investigated 43 Korean three-year-olds' ability to disambiguate eight indeterminate questions using prosodic and visual cues. The intonation of each question provided a cue as to whether it should be interpreted as…
Descriptors: Korean, Suprasegmentals, Young Children, Cues
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Yüksel, Mustafa – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Auditory feedback perturbation with voice pitch manipulation has been widely used in previous studies. There are several hardware and software tools for such manipulations, but audio plug-ins developed for music, movies, and radio applications that operate in digital audio workstations may be extremely beneficial and are easy to use,…
Descriptors: Feedback (Response), Acoustics, Audio Equipment, Computer Software
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Bing-Canar, Hanaan; Phillips, Matthew S.; Shields, Allison N.; Ogram Buckley, Caitlin M.; Chang, Fini; Khan, Humza; Skymba, Haley V.; Ovsiew, Gabriel P.; Resch, Zachary J.; Jennette, Kyle J.; Soble, Jason R. – Journal of Psychoeducational Assessment, 2022
This study investigated the utility of four WAIS-IV Digit Span (DS) indices (traditional Reliable Digit Span [RDS], RDS-Working Memory [RDS-WM], RDS-Revised [RDS-R], and DS Age-Corrected Scaled Score [ACSS]) as embedded performance validity tests (PVTs) among a sample of 342 consecutive adults referred for neuropsychological evaluation of ADHD.…
Descriptors: Test Validity, Adults, Intelligence Tests, Attention Deficit Hyperactivity Disorder
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Matsuda, Noboru – International Journal of Artificial Intelligence in Education, 2022
This paper demonstrates that a teachable agent (TA) can play a dual role in an online learning environment (OLE) for learning by teaching--the teachable agent working as a synthetic peer for students to learn by teaching and as an interactive tool for cognitive task analysis when authoring an OLE for learning by teaching. We have developed an OLE…
Descriptors: Artificial Intelligence, Teaching Methods, Intelligent Tutoring Systems, Feedback (Response)
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Karaminis, Themis; Hintz, Florian; Scharenborg, Odette – Cognitive Science, 2022
Oral communication often takes place in noisy environments, which challenge spoken-word recognition. Previous research has suggested that the presence of background noise extends the number of candidate words competing with the target word for recognition and that this extension affects the time course and accuracy of spoken-word recognition. In…
Descriptors: Acoustics, Oral Language, Speech Communication, Word Recognition
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Grenville, Emily; Dwyer, Dominic M. – Cognitive Research: Principles and Implications, 2022
The coronavirus pandemic has resulted in increased use of face masks worldwide. Here, we examined the effect of wearing a face mask on the ability to recognise facial expressions of emotion. In a within-subjects design, 100 UK-based undergraduate students were shown facial expressions of anger, disgust, fear, happiness, sadness, and neutral…
Descriptors: Nonverbal Communication, Disease Control, Undergraduate Students, Psychological Patterns
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Huang, Yi Ting; Ovans, Zoe – Cognitive Science, 2022
Children often interpret first noun phrases (NP1s) as agents, which improves comprehension of actives but hinders passives. While children sometimes withhold the agent-first bias, the reasons remain unclear. The current study tests the hypothesis that children default to the agent-first bias as a "best guess" of role assignment when they…
Descriptors: Syntax, Nouns, Phrase Structure, Language Processing
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Bang, Won Seok; Hoan, Wee Kuk; Park, Ju Young; Reddy, Nagireddy gari Subba – SAGE Open, 2022
This present work uses artificial neural networks (ANNs) to examine the association between various dimensions of coaching leadership and turnover Intention. The coaching leadership data were collected from 194 employees across multiple schools in Korea. The ANN models are capable of higher predictive accuracy than conventional linear regression…
Descriptors: Coaching (Performance), Leadership, Faculty Mobility, Foreign Countries
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Kim, Hana; Schoemann, Alexander M.; Wright, Heather Harris – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Core lexicon measures have received growing attention in research. They are intended to provide clinicians with a clinician-friendly means to quantify word retrieval ability in discourse based on normal expectations of discourse production for specific discourse elicitation tasks. To date, different criteria have been used to develop core…
Descriptors: Discourse Analysis, Language Processing, Measurement, Accuracy
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