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Paul Deane; Duanli Yan; Katherine Castellano; Yigal Attali; Michelle Lamar; Mo Zhang; Ian Blood; James V. Bruno; Chen Li; Wenju Cui; Chunyi Ruan; Colleen Appel; Kofi James; Rodolfo Long; Farah Qureshi – ETS Research Report Series, 2024
This paper presents a multidimensional model of variation in writing quality, register, and genre in student essays, trained and tested via confirmatory factor analysis of 1.37 million essay submissions to ETS' digital writing service, Criterion®. The model was also validated with several other corpora, which indicated that it provides a…
Descriptors: Writing (Composition), Essays, Models, Elementary School Students

Ha Tien Nguyen; Conrad Borchers; Meng Xia; Vincent Aleven – Grantee Submission, 2024
Intelligent tutoring systems (ITS) can help students learn successfully, yet little work has explored the role of caregivers in shaping that success. Past interventions to support caregivers in supporting their child's homework have been largely disjunct from educational technology. The paper presents prototyping design research with nine middle…
Descriptors: Middle School Mathematics, Intelligent Tutoring Systems, Caregivers, Caregiver Attitudes
Brian Heseung Kim; Julie J. Park; Pearl Lo; Dominique Baker; Nancy Wong; Stephanie Breen; Huong Truong; Jia Zheng; Kelly Rosinger; OiYan A. Poon – Annenberg Institute for School Reform at Brown University, 2024
Letters of recommendation from school counselors are required to apply to many selective colleges and universities. Still, relatively little is known about how this non-standardized component may affect equity in admissions. We use cutting-edge natural language processing techniques to algorithmically analyze a national dataset of over 600,000…
Descriptors: College Applicants, School Counselors, Equal Education, College Admission
Larranaga, Mikel; Aldabe, Itziar; Arruarte, Ana; Elorriaga, Jon A.; Maritxalar, Montse – IEEE Transactions on Learning Technologies, 2022
In a concept learning scenario, any technology-supported learning system must provide students with mechanisms that help them with the acquisition of the concepts to be learned. For the technology-supported learning systems to be successful in this task, the development of didactic material is crucial--a hard task that could be alleviated by means…
Descriptors: Computer Assisted Testing, Science Tests, Multiple Choice Tests, Textbooks
C. H., Dhawaleswar Rao; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2023
Multiple-choice question (MCQ) plays a significant role in educational assessment. Automatic MCQ generation has been an active research area for years, and many systems have been developed for MCQ generation. Still, we could not find any system that generates accurate MCQs from school-level textbook contents that are useful in real examinations.…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Automation, Test Items
Irene Picton; Christina Clark – National Literacy Trust, 2024
Recent developments in technology have accelerated the influence of artificial intelligence (AI) on our lives. The ability of generative-AI tools such as ChatGPT, Gemini and Claude to both 'write' (generate new texts) and 'read' (e.g. summarise texts) in a human-like manner means they are set to play an increasingly important role in the literacy…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
José Luís Araújo; Isabel Saúde – Journal of Chemical Education, 2024
The rapid evolution of Artificial Intelligence (AI) is profoundly shaping our society. Among various AI tools, ChatGPT stands out for its user-friendly nature and wide accessibility to the public. However, despite their countless potential benefits, these tools also face significant challenges, especially in sensitive areas like Education. In this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Chemistry
Roembke, Tanja C.; Hazeltine, Eliot; Reed, Deborah K.; McMurray, Bob – Developmental Psychology, 2021
Many middle-school students struggle with basic reading skills. One reason for this might be a lack of automaticity in word-level lexical processes. To investigate this, we used a novel backward masking paradigm, in which a written word is either covered with a mask or not. Participants (N = 444 [after exclusions]; n[subscript female] = 264,…
Descriptors: Middle School Students, Reading Skills, Decoding (Reading), Reading Fluency
Allen, Laura Kristen; Magliano, Joseph P.; McCarthy, Kathryn S.; Sonia, Allison N.; Creer, Sarah D.; McNamara, Danielle S. – Grantee Submission, 2021
The current study examined the extent to which the cohesion detected in readers' constructed responses to multiple documents was predictive of persuasive, source-based essay quality. Participants (N=95) completed multiple-documents reading tasks wherein they were prompted to think-aloud, self-explain, or evaluate the sources while reading a set of…
Descriptors: Reading Comprehension, Connected Discourse, Reader Response, Natural Language Processing
Abdelkareem Ali Abdelnaeim Mehany; Asmaa Ghanem Gheith – Online Submission, 2024
The present study attempted to examine the effect of using the connectivist approach on developing secondary-stage students' cross-cultural awareness and translation performance. The study comprised thirty-two first-year secondary stage students enrolled in El-Jalawea Institute, Sohag Governorate. The study adopted the quasi-experimental design.…
Descriptors: Cultural Awareness, Translation, Second Language Learning, Second Language Instruction
Nathan Mentzer; Wonki Lee; Andrew Jackson; Scott Bartholomew – International Journal of Technology and Design Education, 2024
Adaptive comparative judgment (ACJ) has been widely used to evaluate classroom artifacts with reliability and validity. In the ACJ experience we examined, students were provided a pair of images related to backpack design. For each pair, students were required to select which image could help them ideate better. Then, they were prompted to provide…
Descriptors: Evaluative Thinking, Design, Engineering Education, Evaluation Methods
Leah Myers Zimmermann – ProQuest LLC, 2022
Morphological processing is the use of morphological structure during word reading. This study examined the role of morphological processing in automaticity in word reading processes and asked whether automatic morphological processing made a unique contribution to decoding, oral reading fluency, and reading comprehension outcomes of middle school…
Descriptors: Morphology (Languages), Language Processing, Reading Ability, Middle School Students
Tao Zeng; Peng Xu; Xi Gao – SAGE Open, 2024
This study aims to investigate the effectiveness of explicit information (EI) in the context of Processing Instruction (PI) as an alternative to traditional teaching methods. PI encompasses explicit information and structured input activity (SI). However, the effectiveness of EI has been a subject of debate. To address this question, grade-7…
Descriptors: Middle School Students, Second Language Instruction, Second Language Learning, English (Second Language)
Lorenzo García-Amaya – Second Language Research, 2024
orInverse relations, or "trade-off effects," are a common outcome of interlanguage development: a learner may increase performance in one linguistic domain while simultaneously decreasing performance in another. In this study, we investigate the relationships between one aspect of fluency (pause usage) and two aspects of syntactic…
Descriptors: Spanish, Study Abroad, Second Language Learning, Second Language Instruction
Woo, David James; Wang, Yanzhi; Susanto, Hengky; Guo, Kai – Journal of Educational Computing Research, 2023
Natural language generation (NLG) is a process within artificial intelligence where computer systems produce human-comprehensible language texts from information. English as a foreign language (EFL) students' use of NLG tools might facilitate their idea generation, which is fundamental to creative writing. However, little is known about how EFL…
Descriptors: Natural Language Processing, Artificial Intelligence, English (Second Language), Second Language Learning