Personalized recommendation plays an important role on content selection during the adaptive learning process. It is always a challenge on how to recommend effective items to improve learning performance. The aim of this study was to examine the feasibility of applying adaptive testing technology for personalized recommendation. We proposed the…

This study investigates the impact of artificial intelligence (AI) on personalized learning, automated assessment and feedback, intelligent tutoring systems, and student engagement in online learning environments. The research focuses on fourth-year English major students at a university in the Mekong Delta region, utilizing a mixed-methods…

This studied focus on the relationship between transhumanist and artificial intelligence in the Education Context; Particularly Teaching and Learning Process at private university in Makassar, South Sulawesi, Indonesia. Anchored by a qualitative analysis and participated by five teachers, the data were analyzed in-depth interview. It was designed…

In today's environment of growing class sizes due to the prevalence of online and e-learning systems, providing one-to-one instruction and feedback has become a challenging task for teachers. Anyhow, the dialectical integration of instruction and assessment into a seamless and dynamic activity can provide a continuous flow of assessment…

The primary goal of this research was to investigate AOU students' conceptions of the quality of online experience through the learning management system in supporting their classroom tutorials. A 32-item questionnaire was administered to a randomly selected sample (205) of Elementary Education students at the AOU Jordan Branch. On one hand, the…

This pilot study evaluated the student user experience of a performance indicator tool (PIT) for formative assessment of a cohort of fourth year medical undergraduates undertaking a 12 week rotation. Scoping and elaboration for the standalone web-based tool was based on the existing paper-based formative assessment system for which training and…

Based on a cognitive diagnostic model, an online individualised tutor program was developed in this study. An experiment was conducted in practical educational settings exploring the effectiveness of the online individualised tutor remedial program based on the diagnostic reports of the cognitive diagnostic model. The methodology of this study was…

As part of curriculum renewal in three introductory chemistry courses at the University of Sydney, a partially flipped classroom model was implemented. Content that is conventionally delivered in the in-class sessions was moved online through the use of web-based tutorials, videos and quizzes. During the in-class sessions, active learning…

This study contrasted the effects of tutoring, multiple try and no feedback on children's progression in analogy solving and examined individual differences herein. Feedback that includes additional hints or explanations leads to the greatest learning gains in adults. However, children process feedback differently from adults and effective…

These proceedings contain the papers of the 14th International Conference on e-Learning (EL 2020), which was organised by the International Association for Development of the Information Society, July 21-23, 2020. This conference is part of the 14th Multi Conference on Computer Science and Information Systems 2020, July 21-25, which had a total of…

Learning to program is a difficult process for novice programmers. AutoLEP, an automated learning and assessment system, was developed by us, to aid novice programmers to obtain programming skills. AutoLEP is ability-training-oriented. It adopts a novel assessment mechanism, which combines static analysis with dynamic testing to analyze student…

This paper reports on the development of a tool that generates randomised, non-multiple choice assessment within the BlackBoard Learning Management System interface. An accepted weakness of multiple-choice assessment is that it cannot elicit learning outcomes from upper levels of Biggs' SOLO taxonomy. However, written assessment items require…

These proceedings contain the papers of the 18th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2021), held virtually, due to an exceptional situation caused by the COVID-19 pandemic, from October 13-15, 2021, and organized by the International Association for Development of the Information Society…

These proceedings contain the papers of the 16th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2019), held during November 7-9, 2019, which has been organized by the International Association for Development of the Information Society (IADIS) and co-organised by University Degli Studi di Cagliari, Italy.…

Building computerized mechanisms that will accurately, immediately and continually recognize a learner's affective state and activate an appropriate response based on integrated pedagogical models is becoming one of the main aims of artificial intelligence in education. The goal of this paper is to demonstrate how the various kinds of evidence…