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…

Invitational Education and literature circles elevated learning in this longitudinal qualitative study as undergraduate teacher candidates collaborated on digital projects. Multimodal instruction promoted innovative collaboration to lift learning and success to new levels in a university methods course. Through an intentionally inviting…

The present study carried out a bibliometric analysis of L2 eye-tracking research. VOSviewer, CiteSpace, and CitNetExplorer were used for the analysis. The data were 245 articles indexed by Social Sciences Citation Index (SSCI). The study identified the research topics, trends, promising research directions, influential authors and documents, and…

Artificial intelligence (AI) has taken the world by storm, with new AI-powered tools such as ChatGPT opening up new opportunities in higher education for content creation, communication, and learning, while also raising new concerns about the misuses and overreach of technology. Our shared humanity has also become a key focal point within higher…

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…

Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student…

Via interview data focused on instructor practices and values, this study sought to describe some of what performing and visual arts instructors do at the university level to effectively teach disciplinary values through writing. The study's research goals explored how relationships to writing process in visual and performing arts support…

This article describes the thinking behind the development of "Scholar," a "social knowledge" technology developed as part of a series of research and development projects at the University of Illinois. Seven pedagogical openings are identified in this article, possibilities for the creation of innovative learning environments…

Typical college classrooms consist of auditory lectures with very little variety. Frequently, with large quantities of difficult material such as literature and writing assignments, undergraduate students become anxious about maintaining their grades. This problem is more prevalent with first-year students, who are still adjusting to the college…

"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…

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…

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…