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Pelletier, Kathe; Robert, Jenay; Muscanell, Nicole; McCormack, Mark; Reeves, Jamie; Arbino, Nichole; Grajek, Susan – EDUCAUSE, 2023
Artificial intelligence (AI) has taken the world by storm, with new AI-powered tools such as ChatGPT opening up new opportunities in higher education for content creation, communication, and learning, while also raising new concerns about the misuses and overreach of technology. Our shared humanity has also become a key focal point within higher…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Trends, Higher Education
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Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
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Ipek, Ziyaeddin Halid; Gözüm, Ali Ibrahim Can; Papadakis, Stamatios; Kallogiannakis, Michail – Educational Process: International Journal, 2023
Background/purpose: ChatGPT is an artificial intelligence program released in November 2022, but even now, many studies have expressed excitement or concern about its introduction into academia and education. While there are many questions to be asked, the current study reviews the literature in order to reveal the potential effects of ChatGPT on…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Benefits
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Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
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Wang, Haiyan; Yu, Haopeng – Language Acquisition: A Journal of Developmental Linguistics, 2023
This paper attempts to investigate the repetition of Relative Clauses (RCs) in Mandarin children with Developmental Language Disorder (DLD) (aged 4; 5 to 6; 0) and their typically developing (TD) peers. The results of a sentence repetition task indicate that Mandarin children with DLD perform significantly worse than both groups of TD children,…
Descriptors: Language Impairments, Phrase Structure, Mandarin Chinese, Language Acquisition
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Fong, Cathy Yui-Chi – Infant and Child Development, 2023
The present study aimed to examine the role of phonological--semantic flexibility (PSF) in learning to read Chinese. PSF refers to a specific flexibility applied to process the dual linguistic dimensions of words (i.e., sound and meaning). A correlational study (Study 1) was conducted to determine the unique contribution of PSF to three aspects of…
Descriptors: Phonology, Semantics, Reading Processes, Chinese
Nores, Milagros; Harmeyer, Erin; Connors-Tadros, Lori; Li, Zijia – National Institute for Early Education Research, 2023
The National Institute for Early Education Research (NIEER) conducted a landscape evaluation of early childhood programs in Indiana (IN) between the spring of 2021 and the summer of 2022. The evaluation included assessments of infant, toddler, and preschooler children's developmental status in multiple domains at two time points to measure growth.…
Descriptors: Young Children, Child Development, Status, Early Childhood Education
EdChoice, 2023
This poll was conducted between August 18-August 27, 2023 among a national sample of 1,000 Teens. The interviews were conducted online and the data were weighted to approximate a target sample of Teens based on gender, age, race, and region. Results from the full survey have a measure of precision of plus or minus 3.3 percentage points. Among the…
Descriptors: Adolescents, Gender Differences, Age Differences, Racial Differences
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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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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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