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Ziyan Yang; Jia Hu; Shaochun Zhong; Lan Yang; Geyong Min – Education and Information Technologies, 2025
Intelligent technology plays a pivotal role in revolutionizing learning assessments, overcoming the constraints of traditional assessment methods and driving educational innovation. Knowledge tracing (KT) emerges as a critical component for assessing students' learning states and forecasting their future performance. However, existing graph-based…
Descriptors: Learning Processes, Artificial Intelligence, Graphs, Concept Mapping
Hanqiang Liu; Xiao Chen; Feng Zhao – Education and Information Technologies, 2024
Massive open online courses (MOOCs) have become one of the most popular ways of learning in recent years due to their flexibility and convenience. However, high dropout rate has become a prominent problem that hinders the further development of MOOCs. Therefore, the prediction of student dropouts is the key to further enhance the MOOCs platform.…
Descriptors: MOOCs, Video Technology, Behavior Patterns, Prediction
Khoushehgir, Fatemeh; Sulaimany, Sadegh – Education and Information Technologies, 2023
In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main challenges in MOOCs is the high dropout or low completion rate. Early dropout prediction algorithms aim the educational institutes to retain the students for the related course. There are several…
Descriptors: Prediction, Dropout Prevention, MOOCs, Dropout Rate
Arif Akçay; Arif Altun – Education and Information Technologies, 2024
Debugging is an intellectually rich and a challenging process when learning a programming language. This process is important for increasing the quality of the program and making it functional. Debugging, by its nature, is thought to be a practice with a state of focus and concentration. This study explored whether the debugging performance could…
Descriptors: Attention, Networks, Troubleshooting, Programming
Lockias Chitanana – Education and Information Technologies, 2024
This study investigated how lecturers and university students used WhatsApp as an academic tool. The study employed an ANT methodological and analytical framework to investigate WhatsApp as an academic tool in a university set-up in post COVID-19 era. Participants were selected from one state university. The snowball purposive sampling approach…
Descriptors: Educational Technology, Technology Uses in Education, Computer Oriented Programs, College Faculty
Xiaona Xia; Wanxue Qi – Education and Information Technologies, 2024
The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…
Descriptors: Graphs, MOOCs, STEM Education, Learning Processes
Xia, Xiaona; Qi, Wanxue – Education and Information Technologies, 2023
Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be…
Descriptors: Foreign Countries, Identification, Interaction, Learning Processes
Paul, Claire Donehower; Thomas, Erin Vinoski; Jimenez, Eliseo – Education and Information Technologies, 2023
The purpose of the present study was to explore what wireless and wearable technologies individuals with intellectual and developmental disabilities (IDD) use to connect socially, how these technologies are used to facilitation social connectedness, what barriers or challenges exist when using technology to connect socially, and what supports or…
Descriptors: Networks, Information Technology, Intellectual Disability, Developmental Disabilities
Ives, Jillian; Drayton, Brian; Hobbs, Kathryn; Falk, Joni – Education and Information Technologies, 2023
This qualitative case study examined how a multimodal professional network environment (STEM for all Video Showcase) affected five STEM educational researchers' capacity to engage in grant funded research at U.S. Historically Black Colleges and Universities (HBCUs). Guided by the social capital and professional network literature as a conceptual…
Descriptors: STEM Education, Networks, Researchers, Educational Research
He, Xiuling; Fang, Jing; Cheng, Hercy N. H.; Men, Qibin; Li, Yangyang – Education and Information Technologies, 2023
A deep understanding of the learning level of online learners is a critical factor in promoting the success of online learning. Using knowledge structures as a way to understand learning can help analyze online students' learning levels. The study used concept maps and clustering analysis to investigate online learners' knowledge structures in a…
Descriptors: Electronic Learning, Cognitive Structures, Concept Mapping, Learning Processes
Hickey, Daniel T.; Chartrand, Grant T. – Education and Information Technologies, 2020
Open digital badges are new credentials that can contain specific claims and links to web-enabled evidence, and can then circulate in networks. Badges are helping facilitate broader shifts away from measuring, accrediting, and credentialing "achievement" and towards capturing, validating, and recognizing "learning." A study of…
Descriptors: Information Technology, Networks, Evidence, Competence
K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
Karajeh, Huda; Maqableh, Mahmoud; Rajab, Lama; Mohammad, Hiba; Khatib, Tahani; Al-Qirim, Nabeel; Tarhini, Ali – Education and Information Technologies, 2018
This study examined impact of a social media networks course on student use of SNSs performance. Moreover, it examined the associations among course design, course materials, learning experiences and a social media networks course. Survey instrument is used to examine the relationships in the proposed model. A total of 380 questionnaires have been…
Descriptors: Foreign Countries, Social Media, College Students, Networks
Yakubu, Mohammed Nasiru; Dasuki, Salihu Ibrahim; Abubakar, A. Mohammed; Kah, Muhammadou M. O. – Education and Information Technologies, 2020
Research has shown that technology, when used prudently, has the potential to improve instruction and learning both in and out of the classroom. Only a handful of African tertiary institutions have fully deployed learning management systems (LMS) and the literature is devoid of research examining the factors that foster the adoption of LMS. To…
Descriptors: Management Systems, Instructional Improvement, Student Surveys, Intention
Alenezi, Abdullah – Education and Information Technologies, 2017
This paper demonstrates the potential of Saudi schools for technology leadership provided by Learning Resource Centres (LRCs) to enhance the formation of a technology-motivated educational environment. Using the grounded theory methodology and the CBAM stages of concern and levels of use this study sheds light on Saudi LRCs and their leadership…
Descriptors: Foreign Countries, Technology Uses in Education, Educational Technology, Technology Integration
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