This paper presents findings from a pilot study designed to bring principles of educational psychology into engineering education with the specific goal of improving student learning. Traditionally, upperdivision undergraduate courses in engineering have been taught with a lecture-oriented, teachercentered methodology, but educational research findings urge engineering educators to switch to mo...

We characterize the sample complexity of active learning problems in terms of a parameter which takes into account the distribution over the input space, the specific target hypothesis, and the desired accuracy.

We study the theoretical advantages of active learning over passive learning. Specifically, we prove that, in noise-free classifier learning for VC classes, any passive learning algorithm can be transformed into an active learning algorithm with asymptotically strictly superior label complexity for all nontrivial target functions and distributions. We further provide a general characterization ...

Automatic detection of five language components, which are all relevant for expressing opinions and for stance taking, was studied: positive sentiment, negative sentiment, speculation, contrast and condition. A resource-aware approach was taken, which included manual annotation of 500 training samples and the use of limited lexical resources. Active learning was compared to random selection of ...

What is a classroom economics experiment? Relatively recently, economists have begun to employ experimental methods – both in research and teaching. Research experiments help economists test the validity of theories and the efficacy of new market mechanisms. Classroom experiments help instructors illustrate concepts and engage students in the learning process, making economic theory easier for ...

In “natural learning” the learner takes responsibility for learning. This responsibility applies to setting objectives, selecting active learning tasks, obtaining feedback, and making applications. Self-oriented skill training (SOS) provides a highly structured procedure to help the learner through the above four phases of natural learning. Of particular importance in SOS is the experiential ex...

In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is required for verification. A novel solution is presented that makes use of active learning combined with an ensemble of classifiers for each class. The result is a significant reduction in required expert involvement ...

Constuctivism learning theory lays emphasis on the learners' active learning, such as learning initiative, sociality and context. By analyzing the relationship between constructivism learning theory and learner autonomy, this paper explores how to cultivate learners' learner autonomy under the guidance of constructivism learning theory. Keywords—Constructivism learning theory, learner autonomy,...