A STEAM Learning Ecosystem on Gamification System to Promote Innovators DOI Open Access
Thada Jantakoon, Kitsadaporn Jantakun, Thiti Jantakun

и другие.

Higher Education Studies, Год журнала: 2024, Номер 15(1), С. 53 - 53

Опубликована: Дек. 2, 2024

This study aimed to synthesize and evaluate a STEAM Learning Ecosystem on Gamification System Promote Innovators. The research was conducted in three phases: (1) synthesis, (2) development of the learning ecosystem, (3) expert evaluation. resulting ecosystem comprises main elements: (Instructor, Learner, Investigate, Discover, Create, Reflect), Process (Goals, Rules, Reinforcement, Time Feedback, Competition/Cooperation, Feedback), Innovation Skills (Creativity, Imagination, Inventiveness, Idea Generation, Novel Approaches Problem-Solving). Nine experts evaluated ecosystem's suitability using questionnaire. results showed highest level (mean±SD=4.60±0.49) across five aspects: objectives, design principles, elements, process, ease understanding. contributes education by providing comprehensive framework integrating gamification strategies foster innovation skills. proposed offers structured approach for educators engaging effective experiences that promote innovative thinking. Further could explore this practical implementation impact various educational settings.

Язык: Английский

Artificial Intelligence in Ethiopian School Curriculum: Educators' Practices, Challenges, and Recommendations DOI Creative Commons
Fitsum Gizachew Deriba, Ismaila Temitayo Sanusi

Computers and Education Open, Год журнала: 2025, Номер unknown, С. 100251 - 100251

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Data-Driven Approaches in Special Education DOI
Betsybha Evangeline,

D. Anitha

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 91 - 114

Опубликована: Фев. 13, 2025

Artificial Intelligence and Data Science are transforming education, enabling personalized tools for learning research. Traditional approaches often fail students with disabilities, while offers solutions such as intelligent instructional systems natural language processing that enable accessibility to New interactive communication devices well advanced, supporting individuals speech or disorders through predictive multi-input features visual tracking gesture recognition Key challenges include achieving equal access, privacy technical excellence. Ensuring innovation reaches underserved communities is important, involving teachers, students, parents in the development process improve morale outcomes. Future trends, including virtual augmented reality, promise immersive experiences tailored different needs. Broader collaborations will be critical creating inclusive educational environments support lifelong all students.

Язык: Английский

Процитировано

0

Exploring factors influencing university students’ intentions to use ChatGPT: analysing task-technology fit theory to enhance behavioural intentions in higher education DOI Creative Commons
Yaser Hasan Al‐Mamary, Adel Alfalah,

Mohammad Mulayh Alshammari

и другие.

Future Business Journal, Год журнала: 2024, Номер 10(1)

Опубликована: Ноя. 27, 2024

Abstract The increasing integration of AI technologies such as ChatGPT in educational systems calls for an in-depth understanding the factors influencing students’ intentions to use these tools. This study explores shaping university by analysing three key dimensions: task characteristics, technology characteristics and individual characteristics. Using task-technology fit (TTF) framework, research examined how elements impact alignment between tasks ChatGPT’s capabilities, ultimately driving behavioural intentions. A survey 393 students from a Saudi Arabian was conducted, structural equation modelling applied assess relationships among variables. Results indicated that all significantly influenced TTF, which turn had positive on ChatGPT. highlighted importance achieving strong TTF encourage effective tools academic settings. implications this suggest institutions should focus aligning with learning enhance their intent tools, thereby improving performance. Furthermore, extended model context AI-powered particularly line Arabia’s Vision 2030. is one first investigate within unique cultural technological higher education system. By integrating framework local regional factors, provides novel insights into drivers usage education, offering guidance policy broad practices.

Язык: Английский

Процитировано

3

AI and education: combination to enhance knowledge DOI

Juan Sebastián Laverde Gonzalez,

Lay Aracely Rodríguez Hernández

Deleted Journal, Год журнала: 2024, Номер 4, С. 37 - 37

Опубликована: Окт. 11, 2024

Artificial intelligence (AI) has revolutionized numerous fields, education is one of the most benefited. Technologies like Chat GPT have marked a before and after in evolution AI, providing tools to automate repetitive tasks, allowing educators dedicate more time students. In addition optimizing resource management, AI personalizes through advanced algorithms data analysis, adapting resources methodologies individual needs each student. This facilitates learning, promotes inclusion offers effective education, especially for people with disabilities or diverse learning styles. this article, bibliometric review was carried out on relationship between education. The essential requirements search were scientific texts published last five years (2020-2024) be found Scopus Web Science databases, fundamentally. opens new perspectives educational research, allows detailed analysis large volumes can identify previously undetected areas improvement

Язык: Английский

Процитировано

0

A STEAM Learning Ecosystem on Gamification System to Promote Innovators DOI Open Access
Thada Jantakoon, Kitsadaporn Jantakun, Thiti Jantakun

и другие.

Higher Education Studies, Год журнала: 2024, Номер 15(1), С. 53 - 53

Опубликована: Дек. 2, 2024

This study aimed to synthesize and evaluate a STEAM Learning Ecosystem on Gamification System Promote Innovators. The research was conducted in three phases: (1) synthesis, (2) development of the learning ecosystem, (3) expert evaluation. resulting ecosystem comprises main elements: (Instructor, Learner, Investigate, Discover, Create, Reflect), Process (Goals, Rules, Reinforcement, Time Feedback, Competition/Cooperation, Feedback), Innovation Skills (Creativity, Imagination, Inventiveness, Idea Generation, Novel Approaches Problem-Solving). Nine experts evaluated ecosystem's suitability using questionnaire. results showed highest level (mean±SD=4.60±0.49) across five aspects: objectives, design principles, elements, process, ease understanding. contributes education by providing comprehensive framework integrating gamification strategies foster innovation skills. proposed offers structured approach for educators engaging effective experiences that promote innovative thinking. Further could explore this practical implementation impact various educational settings.

Язык: Английский

Процитировано

0