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Jose Berengueres – Discover Education, 2025
GPT-based models have enabled the creation of natural language chatbots that support both Inquiry-Based and Structured Learning approaches. This study offers a direct comparison of these two paradigms within a UNIX Shell scripting course by means of two chatbots: a Lesson Plan-Driven chatbot that ensures all students cover the same topics…
Descriptors: Lesson Plans, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
The process of generating challenging and appropriate distractors for multiple-choice questions is a complex and time-consuming task. Existing methods for an automated generation have limitations in proposing challenging distractors, or they fail to effectively filter out incorrect choices that closely resemble the correct answer, share synonymous…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Attention, Natural Language Processing
Nezihe Korkmaz Guler; Zeynep Gul Dertli; Elif Boran; Bahadir Yildiz – Pedagogical Research, 2024
The aim of the research is to investigate the academic achievement of ChatGPT, an artificial intelligence based chatbot, in a national mathematics exam. For this purpose, 3.5 and 4 versions of ChatGPT were asked mathematics questions in a national exam. The method of the research is a case study. In the research, 3.5 and 4 versions of ChatGPT were…
Descriptors: Mathematics Education, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Stephen Kintz; Hana Kim; Heather Harris Wright – International Journal of Language & Communication Disorders, 2024
Background: Core lexicon (CL) analysis is a time efficient and possibly reliable measure that captures discourse production abilities. For people with aphasia, CL scores have demonstrated correlations with aphasia severity, as well as other discourse and linguistic measures. It was also found to be clinician-friendly and clinically sensitive…
Descriptors: Vocabulary Skills, Dementia, Measures (Individuals), Language Skills
Ibnatul Jalilah Yusof – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This paper examines the potential of ChatGPT-assisted retrieval practice to enhance students' final exam performance. ChatGPT was utilized to generate questions and deliver timely feedback during retrieval practice, supporting learning in large class settings where providing personalized feedback is often challenging. Background:…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Scores
Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil Heffernan – Grantee Submission, 2024
The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…
Descriptors: Automation, Scoring, Computer Assisted Testing, Natural Language Processing
YiHsuan Wood; Jeffrey J. Green; Ellen Knell; Yu Liu – Language Awareness, 2025
This study used eye-tracking to investigate the real-time processing of phonetic and semantic radicals (components of Chinese characters that give clues to their pronunciation and meaning) by intermediate-level university Chinese foreign language (CFL) learners. Additionally, the study examined how knowledge and awareness of radicals affect…
Descriptors: Eye Movements, Chinese, Second Language Learning, Second Language Instruction
Dan Song; Alexander F. Tang – Language Learning & Technology, 2025
While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…
Descriptors: Artificial Intelligence, Second Language Learning, Standardized Tests, Writing Tests
Mohamed A. Mekheimer; A. I. Fageeh – Discover Education, 2025
This study investigated the impact of information density on English as a Foreign Language (EFL) listening comprehension, testing the hypothesis that listeners prioritize message understanding in information-rich discourse over grammar-focused analysis in rhetorical discourse. A quasi-experimental design was employed with 26 EFL college students,…
Descriptors: Listening Comprehension, English (Second Language), Second Language Learning, Second Language Instruction
Asma Almusharraf; Hassan Saleh Mahdi; Haifa Al-Nofaie; Elham Ghobain; Amal Aljasser – Journal of Psycholinguistic Research, 2024
The present study examines the impact of implementing video captioning and subtitles on listening comprehension with special reference to the speaker's speed. A total of 64 undergraduate Saudi EFL learners were assigned into six groups: fast speaker with full captioning, fast speaker with subtitles, fast speaker with no captioning nor subtitles,…
Descriptors: Listening Comprehension, Video Technology, English (Second Language), Second Language Learning
Husam M. Alawadh; Talha Meraj; Lama Aldosari; Hafiz Tayyab Rauf – SAGE Open, 2024
E-learning systems are transforming the educational sector and making education more affordable and accessible. Recently, many e-learning systems have been equipped with advanced technologies that facilitate the roles of educators and increase the efficiency of teaching and learning. One such technology is Automatic Essay Grading (AEG) or…
Descriptors: Essays, Writing Evaluation, Computer Software, Technology Uses in Education
Colin Green; Eric Brewe; Jillian Mellen; Adrienne Traxler; Sarah Scanlin – Physical Review Physics Education Research, 2024
This project aims to understand physics faculty responses to transitioning to online teaching during the COVID-19 pandemic. We surveyed 662 physics faculty from the United States following the Spring 2020 term; of these, 258 completed a follow-up survey after the Fall 2020 term. We used natural language processing to measure the sentiment scores…
Descriptors: Teacher Attitudes, Online Courses, Physics, Science Instruction
Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
Steven Michael Carlo – ProQuest LLC, 2024
The purpose of this dissertation was to scrutinize the complexities involved in the formulation and implementation of relevant policies. The design of each study mirrored key elements in the legislative life cycle specifically as it pertained to civics education policymaking, including problem identification, policy creation, and policy diffusion.…
Descriptors: National Competency Tests, Citizenship Education, Educational Policy, Intervention
Jakob Åsberg Johnels; Christian Waldmann; Maria Levlin – Journal of Research in Reading, 2024
Background: Phonological processing skills have been found to contribute to spelling development across different orthographies; however, less is known about the role of orthographic knowledge. This longitudinal study explores the contribution of phonological and orthographic knowledge to spelling development in a semi-transparent orthography…
Descriptors: Spelling, Longitudinal Studies, Scores, Secondary School Students
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