Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…

Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…

Technologies bring a new era of content presentation for online teaching and learning. With more instructors adopting new tools to design online teaching materials, students are often put into learning contexts with certain new design components. Assessing learner experience and outcome in these contexts is challenging because of the complexity…

The purpose of this study was to determine the factors motivating pre-service teachers for online learning within the context of ARCS motivation model. The study, in which the phenomenology model was used, was carried out with 52 pre-service teachers attending the department of Computer Education and Instructional Technologies at the Education…

Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…

The need has arise for the consideration of individual differences, to include their learning styles, learning orientations, preferences and needs in learning to allow learners engage and be responsible for their own learning, retain information longer, apply the knowledge more effectively, have positive attitudes towards the subject, have more…

Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the…

A model is proposed for the influence of individual differences on performance when computer-based technology is introduced. The primary cognitive factor driving differences in performance is spatial visualization ability. Four techniques for mitigating the negative impact of low spatial visualization are discussed: spatial metaphors, graphical…

Presents evidence to establish that instructional technology applications often result in transfer of training failures, which are attributed to inappropriate mixing of behaviorist and cognitive instructional design models. Specific suggestions are made for instructional design prescriptions that support different levels of transfer for different…

PSYCHOLOGICAL AND EDUCATIONAL FACTORS INVOLVED IN THE TRANSFER OF TRAINING WERE STUDIED BY USE OF PROGRAMED SELF-INSTRUCTION USING TEACHING MACHINES. THIS MEDIUM WAS CHOSEN BECAUSE IT PROVIDES LABORATORY-LIKE CONDITIONS SUCH AS STABILIZED METHODS, AND STIMULUS CONTROL INCLUDING CONTROL OF TEACHER PERSONALITY, PLUS A STEP-BY-STEP RECORD OF THE…

This paper examines a research paradigm that is particularly suited to experimentation-related computer-based instruction and integrated learning systems. The main assumption of the model is that one of the most powerful capabilities of computer-based instruction, and specifically of integrated learning systems, is the capacity to adapt…