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Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
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Mostafa Al-Emran; Bassam Abu-Hijleh; AbdulRahman A. Alsewari – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…
Descriptors: Artificial Intelligence, Technology Integration, Information Systems, Success
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Erdem, Cahit; Oruç, Eylem; Atar, Cihat; Bagci, Hakki – Education and Information Technologies, 2023
Media literacy is a critical component for digital citizenship; however, the nature of this relationship and the role of other mediating variables such as digital literacy in this relationship are not empirically tested in various contexts. This paper examined the effect of media literacy on digital citizenship and tested the mediating role of…
Descriptors: Media Literacy, Citizenship, Educational Technology, Correlation
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Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar – Education and Information Technologies, 2024
In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…
Descriptors: Predictor Variables, Academic Achievement, Pass Fail Grading, Long Term Memory
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Nurudeen, Mohammed; Abdul-Samad, Siddique; Owusu-Oware, Emmanuel; Koi-Akrofi, Godfred Yaw; Tanye, Hannah Ayaba – Education and Information Technologies, 2023
With the advent of smartphones and fourth generation mobile technologies, the effect of social media on society has stirred up some debate and researchers across various disciplines have drawn different conclusions. Social media provides university students with a convenient platform to create and share educational content. However, social media…
Descriptors: Social Media, Grade Point Average, Academic Achievement, Prediction
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Calaguas, Noriel P.; Consunji, Paolo Maria P. – Education and Information Technologies, 2022
We aimed to model the direct effects of the theorized relationships of academic self-efficacy, computer use self-efficacy, learning management system self-efficacy, internet and information-seeking self-efficacy, and online learning self-efficacy using structural equation modeling. The study proves that academic self-efficacy has positive…
Descriptors: Structural Equation Models, Self Efficacy, Computer Use, Academic Ability
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Tawafak, Ragad M.; Romli, Awanis B. T.; Arshah, Ruzaini bin Abdullah; Malik, Sohail Iqbal – Education and Information Technologies, 2020
The technology enhancement learning (TEL) needs continuous use and high perception from learners with collaborative of technologies and multi-media applications. The problem of continuous intention in e-learning applications relies on the type of technology used that changes from one university to another. This study aims to design a framework…
Descriptors: Teaching Methods, Electronic Learning, Models, Multimedia Materials
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Günbatar, Mustafa Serkan; Bakirci, Hasan – Education and Information Technologies, 2019
The aim of the study is to examine the Science, Technology, Engineering and Mathematics (STEM) teaching intention of science and primary school pre-service teachers in terms of Computational Thinking (CT) skill, gender, grade level, daily computer usage, internet usage, smartphone usage, and the department variables. The study employs the…
Descriptors: STEM Education, Intention, Computation, Thinking Skills
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Eksail, Fuad Ali Ahmed; Afari, Ernest – Education and Information Technologies, 2020
It is becoming necessary for trainee teachers to willingly accept technology as a tool for learning, effective teaching and assessment. The aim of this study is to measure trainee teachers' perceived usefulness, perceived ease of use, subjective norm, facilitating conditions, attitude towards technology use and behavioural intention to use…
Descriptors: Technology Integration, Teaching Methods, Foreign Countries, Preservice Teachers
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Samad, Sarminah; Nilashi, Mehrbakhsh; Ibrahim, Othman – Education and Information Technologies, 2019
Social networking sites have played an important role in enhancing students' social presence. As an educational tool for online courses, they have significantly contributed in promoting students' motivation for learning. The aim of this research is to investigate the impact of social networking sites on students' academic performance. We conduct a…
Descriptors: Social Networks, Academic Achievement, Correlation, Social Media
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Balouchi, Shima; Samad, Arshad Abdul – Education and Information Technologies, 2021
The primary purpose of this study was to investigate the mediating effects of second language (L2) motivation, willingness to communicate (WTC), and international posture on the relationship between L2 Self-perceived communication competence (SPCC) and L2 frequency of communication (L2 FC) in online informal English learning contexts among…
Descriptors: Communication (Thought Transfer), Second Language Learning, Second Language Instruction, Foreign Countries
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Anthonysamy, Lilian; Koo, Ah Choo; Hew, Soon Hin – Education and Information Technologies, 2020
This paper aims to examine how self-regulated learning strategies (SRLS) can foster the enhancement of digital literacy in digital learning to increase efficiencies in human capital for sustainable development in lifelong learning. Digital disruption in the education sector is unavoidable. The results of this study will be useful for educators and…
Descriptors: Case Studies, Metacognition, Learning Strategies, Human Capital
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Wanapu, Supachanun; Fung, Chun Che; Kerdprasop, Nittaya; Chamnongsri, Nisachol; Niwattanakul, Suphakit – Education and Information Technologies, 2016
The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system.…
Descriptors: Correlation, Cognitive Style, Resource Units, Foreign Countries
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Sriram, B. – Education and Information Technologies, 2016
The internet resources are one of the important knowledge sharing tools in day-to-day business processes. These internet resources have greater impact on education field too. The learning processes have become comparatively easy due to these electronic resources. The online resources help the students to acquire the required knowledge through…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Learning Processes
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Pamuk, Sonmez; Ergun, Mustafa; Cakir, Recep; Yilmaz, H. Bayram; Ayas, Cemalettin – Education and Information Technologies, 2015
Educators' interest in technological pedagogical content knowledge (TPACK) has been increasing. In parallel with implementations of TPACK-based activities taking place in different settings, efforts for assessing effectiveness of those activities and understanding the overall TPACK framework have also been under investigation. In this study, the…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Preservice Teachers, Student Experience
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