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Mohammed Ahmed Kofahi; Anas Jebreen Atyeh Husain – Journal of Information Technology Education: Research, 2025
Aim/Purpose: In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students' higher-order thinking (HOT) ability in an operating systems (OS) course. Background: A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their…
Descriptors: Artificial Intelligence, Computer Science Education, Thinking Skills, Computer System Design
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Rababah, Khalid Ali; Khasawneh, Mohammad; Nassar, Bilal – International Journal of Web-Based Learning and Teaching Technologies, 2017
The aim of this study is to examine the factors affecting students' intention to use cloud computing in the Jordanian universities. To achieve this purpose, a quantitative research approach which is a survey-based was deployed. Around 400 questionnaires were distributed randomly to Information Technology (IT) students at four universities in…
Descriptors: Foreign Countries, Technology Uses in Education, Educational Technology, Intention
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Sabayleh, Obaid Abdelkarim; Alramamneh, Abdellatif Khalaf – Cypriot Journal of Educational Sciences, 2020
This study aimed at identifying the obstacles of implementing learning technologies from the perspective of the teachers at autism centres in Amman. To achieve the objectives of the study, the researchers adopted a descriptive research method and used the survey as a tool of the study. The sample that was selected randomly consisted of 270…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Students with Disabilities
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Abualbasal, Wejdan; Abu-Shanab, Emad; Al-Quraan, Heba – International Journal of Web-Based Learning and Teaching Technologies, 2016
The technology adoption domain is rich with studies that utilized a cross-sectional snapshot of subjects' perceptions regarding the adoption of new technology. This research tried to implement a longitudinal study that took three measures within 4 months to estimate the influence of time and experience on students' perceptions. The study adopted a…
Descriptors: Technology Integration, Longitudinal Studies, Student Attitudes, Computer Attitudes