This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a…

Personalized computer-based tutoring demands learning systems and applications that identify and keep personal characteristics and features for each individual learner. This is achieved by the technology of student modeling. One prevalent technique of student modeling is stereotypes. Furthermore, individuals differ in how they learn. So, the way…

Today, individuals should adapt themselves to the rapidly changing and developing information age and have learning skills. It is only possible by adopting new approaches and strategies instead of traditional teaching methods and techniques. Different learning and teaching approaches are characterized by various methods and designs, such as…

Providing effective, high quality feedback that students engage with remains an important issue in higher education today, particularly in the context of academic language support where feedback helps socialise students to academic writing practices. Technology-enhanced feedback, such as audio and video feedback, is becoming more widely used, and…

Implementing online technologies alone cannot ensure learning. A verified approach is needed to optimize the pedagogical effect of online learning. Previous studies have suggested that the application of the modality principle in multimedia design improves the efficiency of learning by reducing cognitive load. Nevertheless, this design approach…

The focus and purpose of this paper is to present an e-learning teacher training course, including its aims and main results from teachers' interviews. The case study presented here examines the effectiveness of an in-service training seminar which was targeted toward teachers at multicultural schools. It concerns qualitative research that…

"Present text accompanying pictures aurally to promote learning" is a well established principle of instructional design. But recently, it was shown that under certain conditions visual texts can be preferable. Instructional pacing seems to be one of these conditions that mediate effects. Especially, enabling learners to pace an…

These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

Recent developments in learning technology such as hypermedia is becoming widespread and offer significant contribution to improve the delivery of learning and teaching materials. A key factor in the development of hypermedia learning system is cognitive style (CS) as it relates to users' information processing habits, representing individual…

This paper investigates the correlation between the quality of instructional design and learning outcomes for early childhood students in the online synchronous cyber classroom. Today's generation of e-learners has access to highly engaging and well-designed multi-media synchronous classrooms. However little data exists on what constitutes…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…