This research analyzed the effect of learning management on learning activities both directly and through moderating learning readiness variables. This research was an ex-post facto type of quantitative research carried out at the Universitas Muhammadiyah Makassar. The research variables consist of exogenous variables, namely learning management,…

Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…

In online learning as a form of distance education, "Learning Management Systems (LMS)" have become one of the most dynamic forms of higher education today. LMS components play an important role in assessing both the quality of online educational offerings and student performance. The focus of this study is whether LMS activities…

This paper introduces CoCo, a system designed to support and encourage collaborative learning among colocated students sharing a single mobile device. It provides teachers with the possibility to create digital lessons, configure parameters for collaborative activities such as the number of students and tablets, and monitor students' progress. On…

The main aim of this research was to improve a blended learning course, by adding specific online activity that will improve learning outcomes and enable producing, collecting and analysing educational data. Moodle LMS, a widely used, well-known learning environment, was used for realisation of the online activity. Data collected over LMS Moodle…

Learning analytics (LA) is considered a promising field of study as it's helping to improve learning and the context in which it occurs. A learner's performance can be defined as how well students are learning in terms of knowledge and skills development and can be analyzed based on students' outcomes and engagement in the course. We have…

New challenges in education demand effective solutions. Although Learning Analytics (LA), Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea, there is a lot of ground to be covered in order for the EDM to answer the real questions of educators. An important step toward this goal is to implement holistic…

The end of the pandemic era has brought new changes and challenges to lectures held in a blended learning environment, one of which is the use of interactive content. The objective of this study was to analyse, develop and evaluate the presentation of content using H5P in blended learning, its relevance to lecture topics, activities to achieve…

Despite growing interest in applying human-centred design methods to create learning analytics (LA) systems, most efforts have concentrated on initial design phases, with limited exploration of how LA tools and practices can coevolve during the actual learning and teaching activities. This paper examines how a human-centred LA dashboard can be…

The challenges of teaching during the COVID-19 pandemic were multiple and accompanied by dramatic changes in the experiences of students, faculty, and administration. However, this year also offered us an opportunity to be creative and generate new ideas to solve problems we knew about but often did not have enough of a reason to make significant…

Purpose: This paper aims to investigate the relationship between the students' digital activities and their academic performance through two stages. In the first stage, students' digital activities were studied and clustered based on the attributes of their activity log of learning management system (LMS) data set. In the second stage, the…

Student engagement is a growing challenge within higher education, especially as technology continues to evolve and competition for attention rises. As a business discipline, many marketing students struggle to connect with the theory presented in the classroom and seek interactive, experiential learning opportunities. The authors created the…

Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…

With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…

Background: The proliferation of computer-based learning platforms (CBLPs) has caused an increased focus on understanding how to build scalable systems that optimize learning. Thus, CBLPs often rely on close response questions (e.g., multiple choice questions, "select all that apply," "arrange in the correct order," etc.) for…