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Showing 1 to 15 of 32 results Save | Export
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Fatema Al Nabhani; Mahizer Bin Hamzah; Hassan Abuhassna – Contemporary Educational Technology, 2025
This study sought to investigate the effects of employing artificial intelligence (AI) on the customization of educational content and the enhancement of academic performance and engagement among students and teachers. The research involved a sample of ninth-grade students and their educators from diverse subjects, utilizing questionnaires to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Individualized Instruction, Learning Experience
Region 17 Comprehensive Center, 2024
The potential of artificial intelligence (AI) is not yet known, but the technology is expected to impact most aspects of our lives and work in the next 20 years. AI will be able to help solve complex problems, help with investment and business development, support medical and health care, and substantially impact the field of education. State…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, State Departments of Education
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Ibrahim Abba Mohammed; Ahmed Bello; Bala Ayuba – Education and Information Technologies, 2025
In spite of the emergence of studies seeking to integrate chatbot into education, there is a wide literature gap in the Nigerian contexts. While most studies focus on the design and development of chatbots, there exists a very scarce literature on the effect of ChatGPT chatbot on students' achievement. To address this gap, this study checked the…
Descriptors: Natural Language Processing, Artificial Intelligence, Academic Achievement, Computer Science Education
Wilneisha C. Jakes – ProQuest LLC, 2024
Academic self-efficacy is an essential role in student's academic success. There are several factors that can contribute to student academic self-efficacy. Identifying student's self-efficacy can help their experiences in school. Understanding factors that can contribute to student's self-efficacy can better prepare them for academic success. The…
Descriptors: Elementary School Teachers, Elementary School Students, Grade 3, Grade 4
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Svetlana Rzanova; Elena Yushchik; Svetlana Markova; Albina Sergeeva – Education and Information Technologies, 2024
The globalization of contemporary education is ensured by the incorporation of cutting-edge pedagogical techniques and active learning technologies, such as case-method technology, into the teaching and learning process as a whole. The primary objective of this research endeavour was to assess the efficacy of the case method when employed in the…
Descriptors: Computer Simulation, Computer Uses in Education, Case Method (Teaching Technique), Engineering Education
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Salah Zogheib – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to explore factors influencing engineering students' acceptance of the Google Classroom platform in communication skills courses to ensure more active engagement and better performance. Background: In response to the underutilization and hesitancy in adopting educational technologies, this study investigates the…
Descriptors: Learning Experience, Engineering Education, Computer Software, Computer Mediated Communication
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Saif Alneyadi; Yousef Wardat – Contemporary Educational Technology, 2023
The study aimed to examine the influence of ChatGPT on the academic performance and learning perception of eleventh-grade students in a United Arab Emirates school in the field of electronic magnetism. The participants were randomly divided into two groups: an experimental group granted access to ChatGPT and a control group without access to…
Descriptors: Academic Achievement, Grade 11, Foreign Countries, Artificial Intelligence
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Ouyang, Fan; Wu, Mian; Zheng, Luyi; Zhang, Liyin; Jiao, Pengcheng – International Journal of Educational Technology in Higher Education, 2023
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI…
Descriptors: Technology Integration, Artificial Intelligence, Performance, Prediction
Daniel Kania – ProQuest LLC, 2021
This study was conducted to compare the impact of technology-centered instructional methods on student performance in literacy to the impact of non-digital instructional practices. Additionally, this research was designed to identify specific program implementation measures used during the implementation of the prevailing instructional method and…
Descriptors: Computer Assisted Instruction, Teaching Methods, Technology Integration, Academic Achievement
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Elford, Daniel; Lancaster, Simon J.; Jones, Garth A. – Journal of Science Education and Technology, 2022
Augmented reality (AR) has the capacity to afford a virtual experience that obviates the reliance on using two-dimensional representations of 3D molecules for teaching stereochemistry to undergraduate students. Using a combination of quantitative instruments and qualitative surveys/interviews, this study explored the relationships between…
Descriptors: Computer Simulation, Simulated Environment, Science Instruction, Chemistry
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Mei-Rong Alice Chen – Educational Technology & Society, 2024
The increase in popularity of Generative Artificial Intelligence Chatbots, or GACs, has created a potentially fruitful opportunity to enhance teaching English as a Foreign Language (EFL). This study investigated the possibility of using GACs to give EFL students metalinguistic guidance (MG) in linguistics courses. Language competency gaps, a lack…
Descriptors: Metacognition, Transformative Learning, English (Second Language), Artificial Intelligence
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Julia Fuller; Anissa Lokey-Vega – International Journal on E-Learning, 2024
This case study reviews the implementation of a learning analytics (LA) system at a large southeastern university. The LA system uses cloud computing to automate data collection and distribution, providing faculty with insights into student performance and engagement. The system includes weekly alert emails and dashboards offering detailed…
Descriptors: Learning Analytics, Learning Management Systems, Universities, College Faculty
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Makharova, Gaukhar; Nurzhanova, Sazhila; Adilbayeva, Ulzhalgas; Dossanova, Albina; Aimagambetova, Malika – World Journal on Educational Technology: Current Issues, 2022
The aim of this research is to evaluate the effects of education given through digital resources on the language didactic potential of students with the views of teachers. 40 primary school teachers who teach 1st-4th-grade students in various provinces of Kazakhstan participated in the research. In the research, case study, which is one of the…
Descriptors: Elementary School Students, Teacher Attitudes, Foreign Countries, Case Studies
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Hu, Xiao; Ng, Jeremy; Tsang, Kitty K. Y.; Chu, Samuel K. W. – Community College Journal of Research and Practice, 2020
This article reports findings from a study that aims to understand how to integrate mobile-learning into Learning Management System (LMS) in a community college in Hong Kong. In this study, a mobile-enabled LMS named SOUL was adopted to improve students' learning engagement and academic performance. Participating students were segregated into two…
Descriptors: Integrated Learning Systems, Electronic Learning, Community Colleges, Two Year College Students
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Al-Adwan, Ahmad Samed; Albelbisi, Nour Awni; Aladwan, Shadia Hasan; Al Horani, Omar Mohammed; Al-Madadha, Amro; Al Khasawneh, Mohammad Hamdi – Journal of Information Technology Education: Research, 2020
Aim/Purpose: The main objective of this study is to explore students' beliefs with regard to social media use (SMU) in higher education and the consequences of such use on the perception of their academic performance. Additionally, the study aims to determine the major influential factors with regard to SMU in student learning settings as a means…
Descriptors: Social Media, Positive Attitudes, Student Motivation, Undergraduate Students
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