We enhance the autonomy of the continuous active learning method shown by Cormack and Grossman (SIGIR 2014) to be effective for technology-assisted review, in which documents from a collection are retrieved and reviewed, using relevance feedback, until substantially all of the relevant documents have been reviewed. Autonomy is enhanced through the elimination of topic-specific and dataset-speci...

Medical school is an academic and developmental path toward a professional life demanding self-regulation and self-education. Thus, many medical schools include in their goals for medical student education their graduates' ability to self-assess and self-regulate their education upon graduation and throughout their professional lives. This study explores links between medical students' use of s...

The aim of this study is to examine the advantages of Mobile-Assisted Language Learning (MALL), especially vocabulary learning of English as a foreign or second language (L2) in terms of the two strands: automatization and learner autonomy. Previous studies articulate that technology-enhanced L2 learning could bring about some positive effects. The use of technological functions in a mobile dev...

In distance learning environments, advisors can start off again a stalled learning process. EpiTalk is a platform enabling to develop advisors for individual and collaborative learning. EpiTalk advisors rely on agents, organizations and hierarchical graphs. Hierarchical graphs describe advisors. At run-time, agents provide autonomy to each advisor’s components, while organizations link and co-o...

Nam et al. undertook a remarkable study highlighting job stress in the field of gastroenterology. Among their findings, they noted that fellows demonstrated insufficient job control in relation to more senior professorial colleagues. The field of gastroenterology has been slow to catch up with advances in medical education. Hence, this finding is not a surprise. When we look into the science of...

In the OPTIMAL theory of motor learning [Wulf, G., & Lewthwaite, R. (2016). Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning. Psychonomic Bulletin & Review, 23, 1382-1414], 3 factors are postulated to facilitate learning: enhanced expectancies (EE) for performance, autonomy support (AS), and an external focus (EF) of attention....

Recent years have seen a growing recognition of the importance of learner autonomy and the role of individual learners in directing their own learning process, both inside and outside the classroom (Alford & Pachler 2007, Benson 2000, Breen 2001, Conacher & Kelly-Holmes 2007). However, in practice it is not always clear how to support learners in this role, and how to ensure they are ready to a...

This paper presents a novel Fuzzy Sarsa(λ) Learning (FSλL) approach applied to a strategic route leaning task of a mobile robot. FSλL is a hybrid architecture that combines Reinforcement Learning and Fuzzy Logic control. The Sarsa(λ) Learning algorithm is used to tune the rule-base of a Fuzzy Logic controller which has been tested in a route learning task. The robot explores its environment usi...

We present an approach to solving the reinforcement learning problem in which agents are provided with internal drives against which they evaluate the value of the states according to a similarity function. We extend Q-learning by substituting internally driven values for ad hoc rewards. The resulting algorithm, Internally Driven Q-learning (IDQ-learning), is experimentally proved to convergenc...

Autonomous learning is the ability to learn effectively without much external assistance, which is a desirable characteristic in both engineering and computationalmodeling. We extend a constructive neural-learning algorithm, sibling-descendant cascade-correlation, to monitor lack of progress in learning in order to autonomously abandon unproductive learning. The extended algorithm simulates res...