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Zilong Zhong; Hui Guo; Kun Qian – Education and Information Technologies, 2024
This study leverages bibliometric analysis through the bibliometrix R-package to dissect the expansive influence of machine learning on education, a field where machine learning's adaptability and data-processing capabilities promise to revolutionize teaching and learning methods. Despite its potential, the integration of machine learning in…
Descriptors: Bibliometrics, Programming Languages, Artificial Intelligence, Technology Uses in Education
Linqian Ding; Di Zou – Education and Information Technologies, 2024
With the burgeoning popularity and swift advancements of automated writing evaluation (AWE) systems in language classrooms, scholarly and practical interest in this area has noticeably increased. This systematic review aims to comprehensively investigate current research on three prominent AWE systems: Grammarly, Pigai, and Criterion. Objectives…
Descriptors: Automation, Writing Evaluation, Literature Reviews, Computer Software
Xiaozhe Yang; Qingqing Wang; Jiyue Lyu – ECNU Review of Education, 2024
Purpose: ChatGPT is a generative artificial intelligence (AI) technology that can solve multiple complex tasks. ChatGPT-4 can facilitate educational empowerment in China through technology to understand and generate Chinese text. Although ChatGPT's benefits have been widely discussed, its educational capabilities have not been systematically…
Descriptors: Artificial Intelligence, Computer Software, Critical Thinking, Foreign Countries
Samantha R. Goldman; Adam Carreon; Sean J. Smith – Journal of Special Education Preparation, 2024
With the introduction of artificial intelligence (AI), specifically generative AI and large language models (e.g., ChatGPT, Google Gemini), into education, there is a conversation regarding what knowledge teachers still need and will need moving forward. In this article, we describe how AI can, and should, be aligned to the Technological…
Descriptors: Special Education Teachers, Teacher Education Programs, Technological Literacy, Pedagogical Content Knowledge
Kristina Litherland; Anders Kluge – Computer Science Education, 2024
Background and Context: We explore the potential for understanding the processes involved in students' programming based on studying their behaviour and dialogue with each other and "conversations" with their programs. Objective: Our aim is to explore how a perspective of inquiry can be used as a point of departure for insights into how…
Descriptors: Programming, Programming Languages, Secondary School Students, Computer Science Education
Karim Ibrahim; Robert Kirkpatrick – International Review of Research in Open and Distributed Learning, 2024
The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
Yuwamon Prasretsung; Naruemon Thepnuan; Duangkamol Kaewdaeng – Turkish Online Journal of Educational Technology - TOJET, 2024
The objectives of this research were to: 1) develop online lessons with the Google Classroom application on computer system operation for secondary 2 (Grade 8) students; 2) study pre-test and post-test academic achievement; and 3) study the students' satisfaction with the online lessons with the Google Classroom application on computer system…
Descriptors: Computer Software, Electronic Learning, Computers, Curriculum Development
Eva-Lena Bjursten; Tor Nilsson; Gunnar Jonsson – International Journal of Technology and Design Education, 2024
There is a recognized need to understand the current state of programming implementation in the Swedish compulsory school system. This study focused specifically on the implementation of programming in the school subject of technology for grades 4-6. In Sweden, the responsibility for choosing teaching and learning material lies with individual…
Descriptors: Foreign Countries, Grade 4, Grade 5, Grade 6
Becky Moss; Jane Marshall; Celia Woolf; Katerina Hilari – International Journal of Language & Communication Disorders, 2024
Background: Stroke profoundly affects quality of life (QOL), including loss of employment, reduced social activity, shrinking social networks and low mood. Dysgraphia (impaired writing) is a common symptom of aphasia yet is rarely targeted in rehabilitation. Recent technological advances might challenge this, since much communication is now…
Descriptors: Writing (Composition), Writing Instruction, Intervention, Assistive Technology
Jessica Mendoza Moheno; Martín Aubert Hernández Calzada; José Ortega-Mohedano – Educational Media International, 2024
The use of artificial intelligence tools is currently increasingly common, causing changes in teaching-learning processes, generating debates in the educational sector about its utility. Proving to have benefits and advantages, however, there are still gaps in how artificial intelligence tools should be used in education. This research aims to…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
Wenli Tsou; Angel M. Y. Lin; Fay Chen – Language, Culture and Curriculum, 2024
This paper responds to the prevalent discourse on the 'lack of English proficiency' among EMI teachers in contexts where English is used as an additional language. It explores how AI-powered tools, particularly ChatGPT, enable EMI teachers in Taiwan to leverage their expertise and teach in English with more confidence. This study first describes…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Higher Education
Yishen Song; Qianta Zhu; Huaibo Wang; Qinhua Zheng – IEEE Transactions on Learning Technologies, 2024
Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…
Descriptors: Scoring, Essays, Writing Evaluation, Computer Software
Mike Morris – ProQuest LLC, 2024
To meet the employment demands in the information technology industry, it is crucial for higher education institutions to design sustainable curricula to prepare students with the knowledge and skills needed to enter and stay competitive in an ever-changing workforce. A review of one Mid-Atlantic University's information technology programs…
Descriptors: Graduate Students, Information Technology, Computer Science Education, Computer Software
Melanie M. Cooper; Michael W. Klymkowsky – Journal of Chemical Education, 2024
The use of large language model Generative AI (GenAI) systems by students and instructors is increasing rapidly, and there is little choice but to adapt to this new situation. Many, but not all, students are using GenAI for homework and assignments, which means that we need to provide equitable access for all students to AI systems that can…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Homework
Blanka Klimova; Jui Hua Chen – Language Teaching Research Quarterly, 2024
This systematic review explores the transformative role of Artificial Intelligence (AI) and Information and Communication Technologies (ICT) in enhancing intercultural communication competence (ICC) at the university level. As AI increasingly integrates into educational settings, its potential to revolutionize student learning and cultural…
Descriptors: Artificial Intelligence, Computer Software, Computer Simulation, Communicative Competence (Languages)

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