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Michal Bobula – Journal of Learning Development in Higher Education, 2024
This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm of higher education. Through a comprehensive review of the academic literature, this paper highlights the unprecedented growth of these models and their…
Descriptors: Artificial Intelligence, Information Technology, Natural Language Processing, Literature Reviews
Smith, Glenn Gordon; Haworth, Robert; Žitnik, Slavko – Journal of Educational Computing Research, 2020
We investigated how Natural Language Processing (NLP) algorithms could automatically grade answers to open-ended inference questions in web-based eBooks. This is a component of research on making reading more motivating to children and to increasing their comprehension. We obtained and graded a set of answers to open-ended questions embedded in a…
Descriptors: Natural Language Processing, Computer Assisted Testing, Grading, Electronic Publishing
Johns, Brendan T.; Jamieson, Randall K. – Cognitive Science, 2018
The collection of very large text sources has revolutionized the study of natural language, leading to the development of several models of language learning and distributional semantics that extract sophisticated semantic representations of words based on the statistical redundancies contained within natural language (e.g., Griffiths, Steyvers,…
Descriptors: Statistical Analysis, Written Language, Models, Language Enrichment
Yilmaz, Isa – Universal Journal of Educational Research, 2018
In recent years, a rapid development in computer technologies has been witnessed and feasibility of data access has been increased. In today's world, restoring documents, or data in general, and transferring them to interested parties are ordinary tasks. The amount of restored documents has also increased expeditiously and this development has…
Descriptors: Foreign Countries, Periodicals, Social Sciences, Turkish
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
Aeiad, Eiman; Meziane, Farid – Education and Information Technologies, 2019
With the rapid advances in E-learning systems, personalisation and adaptability have now become important features in the education technology. In this paper, we describe the development of an architecture for A Personalised and Adaptable E-Learning System (APELS) that attempts to contribute to advancements in this field. APELS aims to provide a…
Descriptors: Electronic Learning, Individualized Instruction, Computer Science Education, Computer System Design
Hsu, Ting-Chia; Chen, Mu-Sheng – Research and Practice in Technology Enhanced Learning, 2022
This research explored the creative thinking, learning achievement, and engagement of students when they integrated the application of the personal audio classifier (PAC) into the competition of a computational thinking (CT) board game (i.e., the experimental group), or did not integrate it into the competition but only collaborated with peers to…
Descriptors: Learner Engagement, Robotics, Games, Computation
Sterrett, Kyle; Freeman, Stephanny; Hayashida, Kristen; Kim, Joanne J.; Paparella, Tanya – Young Exceptional Children, 2023
Preverbal communication means any social behavior that occurs before children communicate verbally. Generally, these communicative behaviors are categorized into two ways: as behavior regulation (BR) or joint attention (JA) skills. BR, also referred to as requesting, involves the use of behaviors to gain something or receive assistance (Mundy et…
Descriptors: Verbal Communication, Intervention, Behavior Development, Natural Language Processing
Pack, Austin; Maloney, Jeffrey – Teaching English with Technology, 2023
With recent public access to large language models via chatbots, the field of language education is seeing unprecedented levels of interest in how AI will affect language learning and teaching. As attention is primarily focused on student misuse of the technology, the potential affordances of generative AI tools may often be overlooked. In this…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Language Acquisition
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
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