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Margaret C. Hoffman – Journal of Extension, 2025
Immersive 360 technologies are increasing equity and inclusion, learning motivation, and engagement of students in many educational disciplines. Extension stakeholders could also benefit from the use of this technology in educational settings. The affordability and ease of use adds a tool to the Extension repertoire to interest and engage…
Descriptors: Extension Education, Computer Simulation, Computer Uses in Education, Tourism
Yahya Hiçyilmaz – SAGE Open, 2025
This study aimed to identify the experiences of students on the reflections of arts education supported by generative artificial intelligence in their abstract art practices. As a qualitative research method, the case study design was used in the study. The sample of the study included 12 last-year students in the Art Education Program of a state…
Descriptors: Art Education, Artificial Intelligence, Computer Uses in Education, Student Experience
Brittany Severino – Pennsylvania Teacher Educator, 2025
A three-week IEPWriter project was added to an undergraduate special education course offered at a mid-sized public university in Southeastern Pennsylvania to help Pre-Service Teachers (PSTs) learn how to manage and write Individualized Education Programs (IEPs). The PSTs completed a 10-item survey regarding their experience using IEPWriter to…
Descriptors: Preservice Teachers, Special Education Teachers, Individualized Education Programs, Preservice Teacher Education
Liqaa Habeb Al-Obaydi; Marcel Pikhart; Md Kamal Hossain – Contemporary Educational Technology, 2025
Chatbots with artificial intelligence (AI) capabilities, such as ChatGPT, are an important tool for language learning because they provide an interactive and adaptive learning environment that can be adjusted to each learner's level of skill. This paper explores the application of ChatGPT, an advanced AI-powered chatbot, as a tool for language…
Descriptors: Artificial Intelligence, Computer Uses in Education, Language Skills, English (Second Language)
Shiya Chen; Lu Huang; Rustam Shadiev; Peiying Hu – Education and Information Technologies, 2025
The introduction of online homework has revolutionized traditional assignment formats, providing students with access to abundant learning resources, a convenient platform for completing assignments, real-time interactive learning opportunities, and accurate feedback. However, there is a paucity of research exploring the perspectives of elementary…
Descriptors: Elementary School Students, Student Attitudes, Intention, Electronic Learning
Zheng Zong; Christian Schunn; Meihui Zheng; Ying Gao – Australasian Journal of Educational Technology, 2025
Computer-based peer review systems have received extensive attention due to their rapid development and broad application. Although studies have generally found strong assessment validity and positive learning effects, several have found negative reactions in students. More work is needed to understand the reasons for students' negative reactions…
Descriptors: Peer Evaluation, Feedback (Response), Student Attitudes, Familiarity
Akhmad Habibi; Mailizar Mailizar; Lalu Nurul Yaqin; Turki Mesfer Alqahtani; Mukhlash Abrar; Budianto Hamuddin; Failasofah Failasofah – Journal of Technology and Science Education, 2024
This study examines the factors affecting the intention to use and actual use of YouTube in improving English-speaking skills in Indonesia. To meet the aims, we extended the theory of technology acceptance model (TAM); two external factors, subjective norms, and perceived enjoyment, to support the TAM variables (perceived ease of use, perceived…
Descriptors: Foreign Countries, College Students, English (Second Language), Language Skills
Al-Inbari, Fatima Abdullah Yahya; Al-Wasy, Baleigh Qassim Mohammed – Education and Information Technologies, 2023
Automated Writing Evaluation (AWE) is one of the machine techniques used for assessing learners' writing. Recently, this technique has been widely implemented for improving learners' editing strategies. Several studies have been conducted to compare self-editing with peer editing. However, only a few studies have compared automated peer and…
Descriptors: English Language Learners, Automation, Writing Evaluation, Peer Evaluation
Susanne Walan – International Journal of Technology and Design Education, 2025
Since the end of 2022, global discussions on Artificial Intelligence (AI) have surged, influencing diverse societal groups, such as teachers, students and policymakers. This case study focuses on Swedish primary school students aged 11-12. The aim is to examine their cognitive and affective perceptions of AI and their current usage. Data,…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Student Attitudes
Angelos Rodafinos; Vassilis Barkoukis; Katerina Tzafilkou; Despoina Ourda; Anastasios A. Economides; Maria Perifanou – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to examine the influence of digital competences, technology acceptance, and individual factors (gender and educational level) on academic achievement in Physical Education and Sports Science (PESS). Background: Prior research has established a positive correlation between digital competences and performance, but the…
Descriptors: Technological Literacy, Academic Achievement, Physical Education, Athletics
Herminio Bodon; Vishesh Kumar; Marcelo Worsley – ACM Transactions on Computing Education, 2025
Objectives: Athletics and sports represent a focal part of adolescence for millions of youth around the world. However, opportunities to engage in computer science (CS) learning experiences are less prevalent, particularly among Hispanic and low-income communities. Recently, researchers have explored ways to bridge these, seemingly, disparate…
Descriptors: Design, Computer Science Education, Physical Education, Athletics
Yaru Meng; Hua Fu; Chuang Wang – Language Learning & Technology, 2024
There is growing literature on computerized dynamic assessment (C-DA) wherein individual items are accompanied by mediating prompts, but its effectiveness at fine-grained levels across time has not been explored sufficiently. This study constructed a computerized listening dynamic assessment (CLDA) system, where mediation was informed by an…
Descriptors: Computer Assisted Testing, Test Validity, Audio Equipment, Audiometric Tests
Yu-Shan Ting; Yu-chu Yeh – Interactive Learning Environments, 2024
To date, few online game-based learning studies have focused on developing children's growth creativity mindset (growth CM). This study, therefore, aimed to develop a game-based learning system to help children develop their growth CM. Additionally, we investigated the relationship between growth CM, hope belief, and creativity self-efficacy after…
Descriptors: Student Attitudes, Goal Orientation, Intervention, Beliefs
Erümit, Ali Kürsat; Sahin, Güven – International Journal of Computer Science Education in Schools, 2020
This study is an investigation of the effects of plugged and unplugged activities in a programming course using the Programming in Seven Steps (PSS) model on pupils' satisfaction and activity type preferences. A case study method was used in the classroom was the case. Data included students' diary, their responses on semi-structured interview…
Descriptors: Student Attitudes, Preferences, Programming, Computer Science Education
Elliott, Haley; Brumbaugh, Klaire – Teaching and Learning in Communication Sciences & Disorders, 2021
Purpose: The purpose of this qualitative study was to document the experience of using a computer-based simulated (Simucase, 2019) learning opportunity in a Master of Science in speech-language pathology program. Method: Focus groups were held utilizing a semi-structured interview format. Themes were identified using a qualitative methodological…
Descriptors: Student Attitudes, Graduate Students, Speech Language Pathology, Educational Technology

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