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Leila Mirzoyeva; Zhanna Makhanova; Mona Kamal Ibrahim; Zoya Snezhko – Cogent Education, 2024
The objective of this research is to investigate the effectiveness of integrating natural language processing (NLP) technologies into an English language learning program aimed at enhancing auditory and speaking competencies. The methodology of the research is grounded in the development and testing of the intervention effectiveness of neural…
Descriptors: Foreign Countries, Undergraduate Students, Language Skills, Auditory Training
Saima Ritonummi; Valtteri Siitonen; Markus Salo; Henri Pirkkalainen – Journal of Workplace Learning, 2024
Purpose: The purpose of this study is to investigate the barriers that prevent workers in the software industry from experiencing flow in their work. Design/methodology/approach: This study was conducted by using a qualitative critical incident technique-inspired questionnaire. Findings: The findings suggest that workers in the software industry…
Descriptors: Barriers, Computer Software, Computer Science, Attention Control
Sideridis, Georgios; Tsaousis, Ioannis; Ghamdi, Hanan – Educational and Psychological Measurement, 2023
The purpose of the present study was to provide the means to evaluate the "interval-scaling" assumption that governs the use of parametric statistics and continuous data estimators in self-report instruments that utilize Likert-type scaling. Using simulated and real data, the methodology to test for this important assumption is evaluated…
Descriptors: Intervals, Scaling, Computer Software, Likert Scales
Cassandra Artman Collier; Anne L. Powell – Journal of Information Systems Education, 2024
As organizations' reliance on data increases, the prevalence of data analytics programs in universities likewise increases. However, despite this specialized education, scholars still report a gap between the knowledge and skills students graduate with and those required by industry upon beginning work as an entry-level data analyst. We draw on…
Descriptors: Data Analysis, Information Systems, Educational Research, Data Collection
Eliza Rossiter; T. J. Thomson; Rachel Fitzgerald – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this study is to evaluate the use and effectiveness of a bespoke mobile learning resource, Pocket Tutor. This resource responds to a number of teaching and learning challenges within the tertiary education context. These include those related to the number and type of learning activities that can be offered, class pacing,…
Descriptors: College Students, Electronic Learning, Handheld Devices, Technology Uses in Education
Jeromie Whalen; William Grube; Chenyang Xu; Torrey Trust – TechTrends: Linking Research and Practice to Improve Learning, 2025
Launched in November of 2022, the generative artificial intelligence tool ChatGPT garnered immediate societal interest and adoption as its advanced large language modeling proved capable of producing sophisticated, human-like responses to user-generated prompts. In this preliminary study, K-12 teachers in the United States were surveyed on their…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Teacher Response
Gerit Wagner; Laureen Thurner – Journal of Information Systems Education, 2025
Git, as the leading version-control system, is frequently employed by software developers, digital product managers, and knowledge workers. Information systems (IS) students aspiring to fill software engineering, management, or research positions would therefore benefit from familiarity with Git. However, teaching Git effectively can be…
Descriptors: Computer Science Education, Information Systems, Teaching Methods, Computer Software
Hacer Türkoglu; Serpil Yalçinalp – Education and Information Technologies, 2024
Problem solving is one of the high-level thinking skills and essential in teaching mathematical concepts and procedures. The eye-tracking method allows educators to see and interpret different problem-solving behaviours of students. The purpose of this study was to investigate the problem-solving behaviours of university students based on eye…
Descriptors: Problem Solving, Eye Movements, Student Behavior, Geometry
Xue Zhou; Lilian Schofield – Journal of Learning Development in Higher Education, 2024
This paper proposes a conceptual framework for integrating Artificial Intelligence (AI) into the curriculum. It builds on previous conceptual papers, which provided initial suggestions on integrating AI into teaching. The approach to developing the conceptual framework includes drawing on existing frameworks, AI literature, and case studies from…
Descriptors: Artificial Intelligence, Technological Literacy, Technology Integration, Curriculum Development
Chen, Man-Ying; Tang, Joni Tzuchen – Education and Information Technologies, 2023
In higher education, many universities in Taiwan let college students learn excel in a self-directed way. The current axle of the Excel curriculum mainly relies on self-directed learning. In the study, we designed the digital game "Legendary Wizard Excel" and took a certified Excel textbook as the research tool. The game we designed…
Descriptors: Video Games, Computer Software, College Students, Comparative Analysis
Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
Ji-young Shin; Yujeong Choi – Language Learning & Technology, 2025
The use of AI-powered chatbots has recently been extensively examined for second language (L2) learning. While their positive effects have been widely reported regarding L2 English learning, studies involving less commonly taught languages (LCTLs) are scant. The current study incorporated an AI chatbot called Iruda in L2 Korean teaching, to…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Korean
Sutters, Justin P. – Studies in Art Education: A Journal of Issues and Research in Art Education, 2023
Scholars in the field of art education have varied professional trajectories, yet they are networked in academia, both through their advisors as well as through the universities in which they completed their graduate degrees. This study makes these complex relationships visible through the use of visualizations and an interactive website created…
Descriptors: Art Education, Visualization, Computer Software, Data Analysis
Abdulmohsin A. Alshehri – Australian Journal of Applied Linguistics, 2025
This study aimed to investigate the extent to which computer-assisted pronunciation (CAP) is influential in helping Hijazi students to develop their pronunciation of English vowels within a Saudi English as a foreign language (EFL) context. It also examined whether Saudi Hijazi learners taught English vowel sounds by CAP outperform those taught…
Descriptors: Pronunciation, Computer Uses in Education, English (Second Language), Second Language Instruction
Sherif Adel Gaber – Journal of Education and e-Learning Research, 2024
Augmented reality (AR) has been shown to have a positive impact on children with autism spectrum disorder (ASD) because it can effectively simulate the real environment through interactive experiences created by the integration of digital elements with the outside world. This research aimed to verify the effectiveness of a training program based…
Descriptors: Autism Spectrum Disorders, Simulated Environment, Behavior Modification, Educational Technology