There exist numerous resources online to gain the desired level of knowledge on any topic. However, this complicates the process of selecting the most appropriate resources. Every learner differs in terms of their learning speed, proficiency, and preferred mode of learning. This paper develops an adaptive learning management system to tackle this…

Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its…

One of the advanced technologies in e-learning deals with the systems' ability to fit the students' preferences. It emerged based upon the common conception that every person has different learning style. However, despite the many options of learning style models toward using personalized elearning, there are considerable challenges to assess the…

The purpose of this study was to evaluate two online instructional design features, namely adaptation to learner prior knowledge and use of questions to enhance interactivity in online portrayals of physician-patient encounters, in the context of instructing surgical specialists to deliver perioperative tobacco interventions. An online learning…

In recent years, the rapid development of artificial intelligence has increased the power of personalized learning. This study aimed to provide personalized intervention for each group participating in computer-supported collaborative learning. The personalized intervention adopted a deep neural network model, Bidirectional Encoder Representations…

Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…

Chapters in this book include: (1) Courseware Adaptation to Learning Styles and Knowledge Level (Boyan Bontchev and Dessislava Vassileva); (2) Assisted On-Job Training (Claudio Teixeira and Joaquim Sousa Pinto); (3) Self-Directed Learning Readiness Factors in Physicians for Implementing E-Learning in the Continuing Medical Education Programs…

Research was conducted to determine the effectiveness of computer-managed instruction (CMI) as an aid to the mastery of factual content, as compared to the method of frequent, pre-announced quizzes. One section of an undergraduate education course received conventional instruction along with quizzes; another section used a CMI program whose major…

Issues connected with knowledge acquisition through the development of complex computer programs--Intelligent Tutoring Systems (ITSs)--are discussed. The components of such a system and its applications are considered, including: elicitation of knowledge, tutoring with incomplete/uncertain knowledge, self-improving tutoring systems, and…

In this paper, we present a web-based educational setting, referred to as SCALE (Supporting Collaboration and Adaptation in a Learning Environment), which aims to serve learning and assessment. SCALE enables learners to (i) work on individual and collaborative activities proposed by the environment with respect to learners' knowledge level, (ii)…

An input output model for individualizing learning in computer-assisted instruction (CAI) is analyzed, specifying a stimulus array, cognitive processes, and response requirements. These three components are discussed as keys to both instructional and curricular development processes; the appropriate use and control of instructional strategies are…