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Carmen Köhler; Johannes Hartig – Contemporary Educational Technology, 2024
Since ChatGPT-3.5 has been available to the public, the potentials and challenges regarding chatbot usage in education have been widely discussed. However, little evidence exists whether and for which purposes students even apply generative AI tools. The first main purpose of the present study was to develop and test scales that assess students'…
Descriptors: Artificial Intelligence, College Students, Natural Language Processing, Technology Uses in Education
Lior Naamati-Schneider; Dorit Alt – Education and Information Technologies, 2024
The integration of ChatGPT into educational systems underscores the critical importance of reevaluating the relevance of digital literacy skills. This study empirically tested, for the first time, the theoretical premise that the use of ChatGPT could render certain digital skills obsolete by assuming competencies that students were previously…
Descriptors: Artificial Intelligence, Handheld Devices, Users (Information), Skill Development
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' and 'read' texts in a human-like manner means they are set to play an increasingly important role in the literacy lives of children, young people and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Thomas K. F. Chiu; Benjamin Luke Moorhouse; Ching Sing Chai; Murod Ismailov – Interactive Learning Environments, 2024
As Artificial Intelligence (AI) advances technologically, it will inevitably bring many changes to classroom practices. However, research on AI in education reflects a weak connection to pedagogical perspectives or instructional approaches, particularly in K-12 education. AI technologies may benefit motivated and advanced students. Understanding…
Descriptors: Teacher Student Relationship, Student Motivation, Artificial Intelligence, Technology Uses in Education
Nozomi Tanaka; Elaine Lau; Alan L. F. Lee – First Language, 2024
Subject relative clauses (RCs) have been shown to be acquired earlier, comprehended more accurately, and produced more easily than object RCs by children. While this subject preference is often claimed to be a universal tendency, it has largely been investigated piecemeal and with low-powered experiments. To address these issues, this…
Descriptors: Phrase Structure, Native Language, Language Classification, Preferences
Panagiotis Panagiotidis – European Journal of Education (EJED), 2024
Efforts to utilize AI in education, and especially in language education, have their roots in the 60s with the appearance of the first rule-based systems. However, recent advances in Artificial Intelligence (AI) and more specifically the introduction of ChatGPT, have given a new perspective to language learning. The integration of AI, natural…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Second Language Learning
A. Sh. Kappassova; A. S. Adilova; A. F. Zeinulina; K. M. Khamzina; A. Umirbekova; A. Zh. Zhaldybayeva – Eurasian Journal of Applied Linguistics, 2024
Intertextuality, defined as the presence of one text within another, is a powerful tool in shaping media narratives and engaging audiences. This study explores intertextuality in Kazakh, Russian, and English-language media, examining how precedent expressions like quotes, allusions, proverbs, and aphorisms sued as media texts interact across…
Descriptors: Contrastive Linguistics, Turkic Languages, Russian, English
George Hanshaw; Joanna Vance; Craig Brewer – Open Praxis, 2024
This study examines the impact of AI course assistants on student learning experiences in online undergraduate courses at Los Angeles Pacific University. A controlled experiment involving 92 students across treatment and control groups was conducted to evaluate the effectiveness of AI assistants developed by Nectir. The treatment group had access…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Student Experience, Undergraduate Students
Natasha Vernooij – ProQuest LLC, 2024
This dissertation investigates how bilinguals use their two grammars to comprehend written intra-sentential codeswitches. I focus on adjective/noun constructions in Spanish and English where I manipulate the congruence of grammatical word order in the two languages across the codeswitch boundary. This allows me to test three codeswitching…
Descriptors: Spanish, English (Second Language), Second Language Learning, Native Language
Sikora, Katarzyna; Roelofs, Ardi; Hermans, Daan; Knoors, Harry – International Journal of Language & Communication Disorders, 2019
Background: Accumulating evidence suggests that the updating, inhibiting and shifting abilities underlying executive control are important for spoken language production in adults. However, little is known about this in children. Aims: To examine whether children with and without language impairment differ in all or only some of these executive…
Descriptors: Executive Function, Language Processing, Children, Language Impairments
Bazerman, Charles – Journal of Literacy Research, 2019
Writing development in early schooling can reveal much about the bigger picture of writing development. As any epoch in life, it presents its own dynamics that intersect with wider social, psychological, and language processes; follows on early epochs; and leads to later accomplishments. In addition, it is particularly strategic to untangle…
Descriptors: Correlation, Communication Skills, Language Processing, Curriculum Development
Trott, Sean; Bergen, Benjamin – Discourse Processes: A Multidisciplinary Journal, 2019
People often speak ambiguously, as in the case of "indirect requests." Certain indirect requests are conventional and thus straightforward to interpret, such as "Can you turn on the heater?", but others require substantial additional inference, such as "It's cold in here." How do comprehenders make inferences about a…
Descriptors: Individual Differences, Speech Acts, Discourse Analysis, Intention
González-Eras, Alexandra; Aguilar, Jose – International Journal of Artificial Intelligence in Education, 2019
Describing the competencies required by a profession is essential for aligning online profiles of job seekers and job advertisements. Comparing the competencies described within each context has typically not be done, which has generated a complete disconnect in language between them. This work presents an approach for the alignment of online…
Descriptors: Job Skills, Competence, Occupational Information, Profiles
Taipalus, Toni – Journal of Information Systems Education, 2019
Structured Query Language (SQL) is still the de facto database query language widely used in industry and taught in almost all university level database courses. The role of SQL is further strengthened by the emergence of NewSQL systems which use SQL as their query language as well as some NoSQL systems, e.g., Cassandra and DynamoDB, which base…
Descriptors: Programming Languages, Programming, Computer Science Education, Databases
Wilson, Stephen M.; Eriksson, Dana K.; Yen, Melodie; Demarco, Andrew T.; Schneck, Sarah M.; Lucanie, Jilian M. – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Recovery from aphasia is thought to depend on neural plasticity, that is, functional reorganization of surviving brain regions such that they take on new or expanded roles in language processing. To make progress in characterizing the nature of this process, we need feasible, reliable, and valid methods for identifying language regions of…
Descriptors: Aphasia, Diagnostic Tests, Brain Hemisphere Functions, Validity

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