Artificial intelligence aims to restructure and process re-engineering education and teaching processes and accelerate the evolution of the whole education system from information to intelligence. Robotic Process Automation (RPA) robots learn by observing people at work, analyzing user processes repeatedly, and adjusting or correcting automated…

This study aims to examine the difference in students' satisfaction with the Quality Characteristics (QualChar) of the Digital Learning Systems (DLs) with regards to gender and frequency of interaction between students-students and students-teachers. A cross-sectional online quantitative survey was used to collect data from English language…

Despite the disruptive effects of COVID-19 on higher education institutions, the pandemic has enforced the intensive and sustained integration of new digital technologies and platforms into Education, a case that has instigated new contexts for online learning research. A considerable proportion of empirical literature advocates that perceived…

The properties of a blockchain such as immutability, provenance, and peer-executed smart contracts could bring a new level of security, trust, and transparency to e-learning. In this paper, we introduce our proof-of-concept blockchain-based e-learning platform developed to increase transparency in assessments and facilitate curriculum…

Engineering education emphasizes experiential learning and laboratory experience, an approach which has faced significant challenges during the COVID-19 pandemic. The inability to conduct hands-on laboratory experiments in engineering courses can significantly impede the student's learning experience, as well as their acquisition and retention of…

In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…

In this era of technology, teachers need to adapt to changes in their profession, and learn faster than before. They don't want to be restricted to their isolated classrooms and schools but continue learning anywhere, anytime. When a teacher attends conferences, joins teaching communities and discusses new techniques and innovations with…

The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…

While research and practice centred around students and academics working together to co-create in the higher level sector has increased, co-creation in assessment remains relatively rare in a higher education context. It is acknowledged in the literature that deeper comprehension of content can be realised when students author their own questions…

With the large number of online courses currently available, learners may have difficulty choosing the appropriate course, so online education institutions have launched a free trial marketing approach. The factors influencing learners' continuous usage of online courses in the mode of course trial have become a prominent and meaningful topic.…

In this study, a linked data-based annotation approach is proposed. A learning system has been developed based on the approach by providing an annotating function, a linked data enrichment function, a sharing function and faceted search function. To evaluate the effectiveness of this innovative approach, an experiment was carried out in which two…

The considerable increase in web-based knowledge networks in the past two decades is strongly influencing learning environments. Learning entails information retrieval, use, communication, and production, and is strongly enriched by socially mediated discussions, debates, and collaborative activities. It is becoming critical for educators to…

Since the publication of the IMS Learning Design (IMS LD) specification in 2003, many initiatives have been undertaken to build authoring tools that are simple enough to be used by non-technical instructors and teachers. IMS LD's technical complexity is believed to be a major burden for the adoption of the specification. We have developed a new…

Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…

Database files and additional log files of Learning Management Systems (LMSs) contain an enormous volume of data which usually remain unexploited. A new methodology is proposed in order to analyse these data both on the level of both the courses and the learners. Specifically, "regression analysis" is proposed as a first step in the…