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Karol Lisette Rueda-Gómez; Luis J. Rodríguez-Muñiz; Laura Muñiz-Rodríguez – Education and Information Technologies, 2024
The goal of this research is to analyze the factors that mediate the success of the use of online learning support platforms, based on the perceptions of a focus group of university professors, with a qualitative methodological approach. The sample consisted of 11 mathematics professors who taught three subjects to 9 240 incoming students, during…
Descriptors: Educational Technology, College Faculty, Mathematics Teachers, Teacher Attitudes
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
Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software
Diana Kirk; Andrew Luxton-Reilly; Ewan Tempero – ACM Transactions on Computing Education, 2025
Objectives: Code style is an important aspect of text-based programming because programs written with good style are considered easier to understand and change and so improve the maintainability of the delivered software product. However teaching code style is complicated by the existence of many style guides and standards that contain…
Descriptors: Computer Science Education, Programming, Computer Software, Teaching Methods
Lauren Hays; Odin Jurkowski; Shantia Kerr Sims – TechTrends: Linking Research and Practice to Improve Learning, 2024
There has been a great deal written about ChatGPT since its launch in late 2022. Many news stories specifically address the impact of ChatGPT on education. However, there has been little research showing what K-12 teachers are thinking about and doing with ChatGPT. This research article helps to fill that gap. A survey of Missouri teachers was…
Descriptors: Kindergarten, Elementary Secondary Education, Faculty Development, Artificial Intelligence
Sarah Prestridge; Kym Fry; Eun-Ji Amy Kim – Technology, Pedagogy and Education, 2025
The broad approach to using Generative AI in K-12 schooling focuses on identifying risks and productivity gains rather than the more complex issues of transformational change. As a response, this study examined how school leaders considered Gen AI transformation within their disciplines. Ten subject leaders were interviewed about their pedagogical…
Descriptors: Teacher Attitudes, Secondary School Teachers, Artificial Intelligence, Computer Software
Jordan Christopher Williams – ProQuest LLC, 2024
The purpose of this quantitative correlational study was to determine if and to what extent statistically significant correlations exist between high school STEM teachers' attitudes toward the use of computer technology and the duration of software utilization in their classrooms in the United States. This research was based on the Unified Theory…
Descriptors: High School Teachers, STEM Education, Teacher Attitudes, Computer Attitudes
Simon Ashby – Kairaranga, 2024
The purpose of this study is to understand the current situation where practising New Zealand primary educators have utilised ChatGPT. More explicitly, the research considered how educators perceived the beneficial affordances and used them to support their classroom practice. Concurrently, negative implications of use are noted and an attempt to…
Descriptors: Teacher Attitudes, Technology Integration, Artificial Intelligence, Computer Software
Jinhe Zhang – European Journal of Education, 2025
This study explores how well DAW software works for students' 'Academic Singing' training in raising their motivation and academic performance. The practical portion included a case study based on the BandLab DAW system, including its educational analysis. A five-month experiment was conducted with 150 s-year [Harbin Normal University]…
Descriptors: Music Education, Singing, Computer Software, Student Motivation
Rebecca J. Collie; Andrew J. Martin – Social Psychology of Education: An International Journal, 2025
Educational bodies are weighing up the extent to which generative artificial intelligence (genAI) is embedded within educational settings. Although researchers have examined how (generative) AI can be used for effective teaching and learning, less is known about how genAI was being integrated within teachers' practice shortly after the wide-scale…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
Acacia L. Overono; Annie S. Ditta – Teaching of Psychology, 2025
Introduction: The proliferation and accessibility of generative artificial intelligence (AI) have led to strong reactions across the academia. Statement of the Problem: Teachers can adapt to the availability of AI by integrating disclosure statements about its use into courses, which may promote student learning. Literature Review: Suggestions to…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Self Disclosure (Individuals)
Yazid Albadarin; Mohammed Saqr; Nicolas Pope; Markku Tukiainen – Discover Education, 2024
Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in…
Descriptors: Artificial Intelligence, Computer Software, Research Reports, Meta Analysis
Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines teachers' motivations for using artificial intelligence (AI) applications in education from the perspective of Expectancy-Value Theory. The Expectancy-Value Theory is a framework used to explain the key factors that influence individuals' motivation to perform a specific task. In this study, the two main components of the…
Descriptors: Teacher Attitudes, Teacher Motivation, Artificial Intelligence, Computer Software
Zehavit Kohen; Liron Schwartz-Aviad; Tomer Peleg – International Journal of Mathematical Education in Science and Technology, 2025
This study examines a Technology, Pedagogy, Content Knowledge (TPACK) training framework for pre- and in-service mathematics teachers that enables them to experience inquiry-based learning as learners in a dynamic geometry environment that serves as a mathematics laboratory. We investigate the effect of this experience on the teachers' TPACK,…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Teachers, Preservice Teachers
Riordan Alfredo; Vanessa Echeverria; Linxuan Zhao; LuEttaMae Lawrence; Jie Xiang Fan; Lixiang Yan; Xinyu Li; Zachari Swiecki; Dragan Gaševic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Despite growing interest in applying human-centred design methods to create learning analytics (LA) systems, most efforts have concentrated on initial design phases, with limited exploration of how LA tools and practices can coevolve during the actual learning and teaching activities. This paper examines how a human-centred LA dashboard can be…
Descriptors: Learning Analytics, Learning Management Systems, Artificial Intelligence, Computer Software