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Nuo Cheng; Wei Zhao; Xiaoqing Xu; Hongxia Liu; Jinhong Tao – Education and Information Technologies, 2024
Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Ability, Online Courses
Hui Han; Silvana Trimi – Education and Information Technologies, 2024
Cloud computing-based online education has played a vital role in enabling uninterrupted learning during crises such as the COVID-19 pandemic. This study explored the key variables associated with cloud computing that can effectively support the operation of online education platforms. By analyzing real data from 63 online learning platforms, the…
Descriptors: Computer Software, Learning Management Systems, Online Courses, Correlation
Guang Jiang; Jiahui Zhu; Yunsong Li; Pengcheng An; Yunlong Wang – Education and Information Technologies, 2024
Teacher-student interaction (TSI) is essential for learning efficiency and harmonious teacher-student interpersonal relationships. However, studies on TSI support tools often focus on teacher needs while neglecting student needs and autonomy. To enhance both lecturer competence in delivering interpersonal interaction and student autonomy in TSI,…
Descriptors: Teacher Student Relationship, Computer Software, Teaching Methods, Computer Simulation
Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim – Education and Information Technologies, 2024
Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…
Descriptors: Artificial Intelligence, Computer Software, Learning Management Systems, Teaching Methods
Sotirios Karanasios; Marina Papastergiou – Education and Information Technologies, 2024
Location Based Games (LBGs) can support various learning activities in both formal and informal settings. Furthermore, the fact that they can utilize players' physical movement for players' advancement in the game world makes them an appealing alternative for promoting physical activity in students. However, LBGs are not sufficiently used in…
Descriptors: Learning Activities, Educational Games, Learning Management Systems, Telecommunications
Muhammad, Jika Saidu; Isa, Azman Mat; Shamsuddin, Ahmad Zam Hariro; Miah, Shah Jahan – Education and Information Technologies, 2021
The purpose of this paper is to investigate the possible content of IG (Information Governance) framework for implementation in Nigerian universities so that emphases should be on the areas discovered by the study when planning for the framework for better information management in the universities. A qualitative research using case study approach…
Descriptors: Governance, Educational Technology, Universities, Guidelines
Beuran, Razvan; Tang, Dat; Tan, Zheyu; Hasegawa, Shinobu; Tan, Yasuo; Shinoda, Yoichi – Education and Information Technologies, 2019
Cybersecurity education and training are being conducted on an ever-increasing scale, as most organizations need to improve their readiness in dealing with the more and more frequent cyberattacks. However, most systems used for such education and training purposes are built from scratch, are highly customized, and often proprietary. This is true…
Descriptors: Information Security, Teaching Methods, Management Systems, Information Systems
Jiao, Fei; Huang, Tianwen – Education and Information Technologies, 2019
Aiming at many problems of school multimedia classroom management, a remote control system for multimedia classroom based on cloud computing is developed. The system includes cloud computing management platform, network switch, single-chip microcomputer and equipment in the multimedia classrooms. It uses VMware desktop virtualization technology to…
Descriptors: Multimedia Instruction, Computer Software, Comparative Analysis, Management Systems
Kumar, Jeya Amantha; Bervell, Brandford; Osman, Sharifah – Education and Information Technologies, 2020
Google Classroom (GC) has provided affordances for blended learning in higher education. Given this, most institutions, including Malaysian higher educational institutions, are adopting this learning management system (LMS) technology for supporting out of classroom pedagogical. Even though quantitative evidence exists to confirm the usefulness of…
Descriptors: Blended Learning, Teaching Methods, Higher Education, Management Systems
Serhani, Mohamed Adel; Bouktif, Salah; Al-Qirim, Nabeel; El Kassabi, Hadeel T. – Education and Information Technologies, 2019
Program review has been recognized as a common practice amongst universities worldwide. This exercise usually ensures that programs are up to date, meet high quality standards, continuously responding to changes, and hence, adheres to continuous improvement practices. It is a cycle that involves different stakeholders ranging from program chairs…
Descriptors: Higher Education, Educational Quality, Standards, Program Evaluation
Kerimbayev, Nurassyl; Nurym, Nurdaulet; Akramova, ?liya; Abdykarimova, Saule – Education and Information Technologies, 2020
The study considers the problems relating to vocational training of specialists in the virtual educational environment of a higher education institution. The use of advanced information and communication systems (electronic mail, electronic teleconferences, electronic and information resources including text, visual, audio and video information)…
Descriptors: Vocational Education, Computer Simulation, Information Systems, Computer Games
Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…
Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students
Ennouamani, Soukaina; Mahani, Zouhir; Akharraz, Laila – Education and Information Technologies, 2020
To date, the growth usage of mobile technologies and devices as well as the ubiquitous wireless communication have led to the development of new systems and applications in many fields and areas including education. This technological progress can be used to facilitate the students' lives by creating smart and personalized solutions considering…
Descriptors: Management Systems, Telecommunications, Handheld Devices, Computer Software
Balta, Nuri; Perera-Rodríguez, Víctor-Hugo; Hervás-Gómez, Carlos – Education and Information Technologies, 2018
Socrative is an online assessment and student response tool that provides opportunities to increase student engagement in the classroom. We used Socrative as an online homework completing platform to increase students' exam scores in physics. To explore the relationships among factors and the educational effectiveness of Socrative, data from 85…
Descriptors: Homework, Statistical Analysis, Scores, Student Attitudes
Monk, Ellen F.; Lycett, Mark – Education and Information Technologies, 2016
Enterprise Resource Planning Systems (ERP) are very large and complex software packages that run every aspect of an organization. Increasingly, ERP systems are being used in higher education as one way to teach business processes, essential knowledge for students competing in today's business environment. Past research attempting to measure…
Descriptors: Management Systems, Information Systems, Strategic Planning, Computer Software