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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
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
Mozer, Reagan; Miratrixy, Luke; Relyea, Jackie Eunjung; Kim, James S. – Annenberg Institute for School Reform at Brown University, 2021
In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…
Descriptors: Scoring, Automation, Data Analysis, Natural Language Processing
Rybinski, Krzysztof – Quality Assurance in Education: An International Perspective, 2020
Purpose: This paper aims to analyse the relationship between two measures of university quality, the outcome and other characteristics of a mandatory accreditation and the university position in the national ranking. Design/methodology/approach: Natural language processing (NLP) models are used to calculate the sentiment indicators for 1,850…
Descriptors: Foreign Countries, Reputation, Accreditation (Institutions), Higher Education
Terzopoulos, George; Satratzemi, Maya – Informatics in Education, 2020
In recent years, Artificial Intelligence (AI) has shown significant progress and its potential is growing. An application area of AI is Natural Language Processing (NLP). Voice assistants incorporate AI by using cloud computing and can communicate with the users in natural language. Voice assistants are easy to use and thus there are millions of…
Descriptors: Artificial Intelligence, Natural Language Processing, Assistive Technology, Technology Uses in Education