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L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments
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Mohamed M. Mostafa – Interactive Learning Environments, 2023
Interactive Learning Environments (ILE) is a leading international journal in the design and use of interactive learning environments. In this study we conduct a comprehensive bibliometric analysis spanning three decades to objectively examine the journal's impactful authors, citation patterns, collaboration networks and emerging trends.…
Descriptors: Bibliometrics, Network Analysis, Developing Nations, Developed Nations
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Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
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Ching, Boby Ho-Hong; Nunes, Terezinha – Journal of Educational Psychology, 2017
This longitudinal study examines the relative importance of counting ability, additive reasoning, and working memory in children's mathematical achievement (calculation and story problem solving). In Hong Kong, 115 Chinese children aged 6 years old participated in 2 waves of assessments (T1 = first grade and T2 = second grade). Multiple regression…
Descriptors: Longitudinal Studies, Mathematics Achievement, Short Term Memory, Intelligence Quotient
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Elena Zaretsky; Susie Russak – International Journal of Multilingualism, 2024
Acquisition of oral English verb morphology presents difficulties for bilinguals, learners of EFL and English-speaking monolingual children with specific language impairment. This study aimed to identify challenging English verb inflections among sixth grade speakers of Arabic (N = 85) and Hebrew (N = 86) using an elicited oral narrative task, and…
Descriptors: Speech Impairments, Language Impairments, Arabic, Hebrew
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Sean J. Smith; Amber Rowland; Samantha Goldman; Adam Carreon – Journal of Special Education Leadership, 2024
The purpose of this qualitative study was to understand, from the perspective of students with disabilities, what special education leaders and their respective classroom educators should consider in the integration of artificial intelligence (AI) features and tools to support individualized instruction. This study utilized an immersive and…
Descriptors: Special Education, Leaders, Artificial Intelligence, Technology Uses in Education
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Leanne Tamm; Sydney M. Risley; Elizabeth Hamik; Angela Combs; Lauren B. Jones; Jamie Patronick; Tat Shing Yeung; Allison K. Zoromski; Amie Duncan – International Journal of Developmental Disabilities, 2024
Background: Academic challenges such as losing/not turning in assignments, misplacing materials, and inefficient studying are common in middle-school students with autism spectrum disorder (ASD) without intellectual disability. Deficits in organization, planning, prioritizing, memory/materials management, and studying skills [i.e. academic…
Descriptors: Academic Achievement, Intelligence Tests, Intervention, Executive Function
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Mohammad H. Al-khresheh – Language Teaching Research Quarterly, 2024
The integration of artificial intelligence (AI) into language instruction has presented new opportunities, with ChatGPT emerging as a promising tool for interactive and personalized learning. This systematic review examines the effectiveness, advantages, and drawbacks of the ChatGPT in English language teaching (ELT). To achieve this objective,…
Descriptors: Futures (of Society), Artificial Intelligence, Computer Software, Technology Uses in Education
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Andreas Gegenfurtner, Editor; Ingo Kollar, Editor – New Perspectives on Learning and Instruction, 2024
Bringing together the research of leading international scholars in the field of digital learning, "Designing Effective Digital Learning Environments" discusses cutting-edge advancements in digital technology and presents an evidence-informed summary of best practices for effective design principles and implementation within educational…
Descriptors: Instructional Design, Best Practices, Information Technology, Technology Integration
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McGill, Ryan J.; Conoyer, Sarah J.; Fefer, Sarah – School Psychology Forum, 2018
Within the school psychology literature, it is frequently asserted that deficits in cognitive processing are a defining characteristic of children with academic dysfunction, and establishing links between relevant cognitive and academic weaknesses is a core pillar of patterns of strengths and weaknesses assessment models. Accordingly, the present…
Descriptors: Intelligence Tests, Cognitive Ability, Academic Ability, Psychological Evaluation
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Ahmad, Zahoor; Shahzadi, Erum – Bulletin of Education and Research, 2018
Universities play a remarkable role in the development of a country by producing skilled graduates for the country. Graduation rate is low as compared to the enrollment rate in the higher education institutions. Academic failure is main reason for non-degree completion. Students' retention and high academic performance are significant for…
Descriptors: Academic Achievement, Prediction, Artificial Intelligence, Undergraduate Students
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Corbett, Blythe A.; Blain, Scott D.; Edmiston, E. Kale – Journal of Intellectual & Developmental Disability, 2018
Background: Autism Spectrum Disorder (ASD) is characterised by altered social patterns, often associated with increased stress. While puberty is associated with increased stress, there is limited research on stress response to social interaction in adolescents with ASD. The study investigated stress response to semi-structured, videogame-based…
Descriptors: Autism, Pervasive Developmental Disorders, Video Games, Adolescents
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Rungratsameetaweemana, Nuttida; Squire, Larry R. – Learning & Memory, 2018
The hippocampus has long been recognized as important for the formation of long-term memory. Recent work has suggested that the hippocampus might also be important for certain kinds of spatial operations, as in constructing scenes, shifting perspective, or perceiving the geometry of scenes and their boundaries. We explored this proposal using a…
Descriptors: Brain Hemisphere Functions, Neurological Impairments, Visual Stimuli, Comparative Analysis
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Ceylan, Merve – Educational Research and Reviews, 2018
Research population consists of 15 children who attended a 5 week (3 days a week) nature-activities course with the consent of their parents during the summer term of 2016-2017 academic year. Participants were selected from children who had never taken part in a nature activity before. Measurement tool of this study was "Development of…
Descriptors: Multiple Intelligences, Outdoor Education, Pretests Posttests, Scores
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Nida, Robert E. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2018
The purpose of the present investigation was to examine the eyewitness memory performance of 3- and 5-year-old African American children (N = 33) from lowincome households. The children were asked to remember the routine details of a physical examination immediately after the physical exam and again after a delay interval of 6 weeks. Age-related…
Descriptors: Memory, African American Children, Low Income Groups, Preschool Children
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