Dantas AM, Kemm RE. A blended approach to active learning in a physiology laboratory-based subject facilitated by an e-learning component. Adv Physiol Educ 32: 65–75, 2008; doi:10.1152/advan.00006.2007.—Learning via online activities (e-learning) was introduced to facilitate existing face-to-face teaching to encourage more effective student preparation and then informed participation in an unde...

background: academic success depends on curriculum planning and goals- setting, choosing suitable teaching methods, considering students' learning style and the teacher and the manner in which material is presented and effective time management. learning style is the processing of information and comprehension. if teachers present contents in a style that matches a student’s preferred learning ...

Supporting student reflection is one of the goals of inspectable student models (ISMs). Several researchers have studied student reflection using a variety of strategies to support interaction with the student model. We explore student reflection using a general educational computer game environment called The Learning Game. The Learning Game provides tools to interact with the student model, m...

There has been a national movement to transition college science courses from passive lectures to active learning environments. Active learning has been shown to be a more effective way for students to learn, yet there is concern that some students are resistant to active learning approaches. Although there is much discussion about student resistance to active learning, few studies have explore...

Learning via online activities (e-learning) was introduced to facilitate existing face-to-face teaching to encourage more effective student preparation and then informed participation in an undergraduate physiology laboratory-based course. Active learning was encouraged by hypothesis formation and predictions prior to classes, with opportunities for students to amend their e-learning submission...

A conceptual framework for assessing student motivation and self-regulated learning in the college classroom is presented. The framework is based on a self-regulatory (SRL) perspective on student motivation and learning in contrast to a student approaches to learning (SAL) perspective. The differences between SRL and SAL approaches are discussed, as are the implications of the SRL conceptual fr...

This paper describes a learning companion system called Integration-Kid in the domain of learning indefinite integration. A learning companion system is an intelligent tutoring system of a new breed. Apart from the teacher, a learning companion models after an additional agent, called the learning companion. The learning companion acts as a companion for the human student in learning. Thus the ...

Unsupervised learning algorithms can discover models of student behavior without any initial work by domain experts, but they also tend to produce complicated, uninterpretable models that may not predict student learning. We propose a simple, unsupervised clustering algorithm for hidden Markov models that can discover student learning tactics while incorporating student-level outcome data, cons...