This study explored one primary question: To what extent do student perceptions of various forms of instructional technology tools predict instructional quality? Participants for the study were drawn from a teacher education program in a large Midwest public university. Data were collected using a webbased survey with a total of 121 responses used in the final analysis. A multiple regression an...

Background This study aimed to explore how the pilot Peer Tutoring Programme in Youth College (Kowloon Bay) enhanced students’ vocational English learning. The findings showed that the program had positive effects on the students’ academic performance, increased their learning motivation, boosted their confidence and encouraged active learning outside the classroom. According to Topping [1], pe...

The sample complexity of active learning under the realizability assumption has been well-studied. The realizability assumption, however, rarely holds in practice. In this paper, we theoretically characterize the sample complexity of active learning in the non-realizable case under multiview setting. We prove that, with unbounded Tsybakov noise, the sample complexity of multiview active learnin...

A new link prediction method using active learning technique, named HALLP, is proposed in this paper. The method provides the user with most useful examples from the large number of unlabeled examples (i.e. unlinked node pairs in the network) for query. Once labeled by users, these examples will be fed to the learner for the improvement of the link predictor in next round. The utility of an exa...

Active learning has been extensively studied and shown to be useful in solving real problems. The typical setting of traditional active learning methods is querying labels from an oracle. This is only possible if an expert exists, which may not be the case in many real world applications. In this paper, we focus on designing easier questions that can be answered by a non-expert. These questions...

An experiment is carried out on a subset of a first year group in Semester 1, 2001 for five separate fiftyminute sessions. Five groups are taught using one teaching technique based around the idea of passive learning. Five further groups are taught using a second technique based on active learning within small groups. The remaining three groups face a third approach based on a combination of th...

We develop unified information-theoretic machinery for deriving lower bounds for passive and active learning schemes. Our bounds involve the so-called Alexander’s capacity function. The supremum of this function has been recently rediscovered by Hanneke in the context of active learning under the name of “disagreement coefficient.” For passive learning, our lower bounds match the upper bounds o...

Several meta-learning approaches have been developed for the problem of algorithm selection. In this context, it is of central importance to collect a sufficient number of datasets to be used as metaexamples in order to provide reliable results. Recently, some proposals to generate datasets have addressed this issue with successful results. These proposals include datasetoids, which is a simple...

This paper tackles a problem of analyzing the well-formedness of syllables in Japanese Sign Language (JSL). We formulate the problem as a classification problem that classifies syllables into wellformed or ill-formed. We build a data set that contains hand-coded syllables and their well-formedness. We define a finegrained feature set based on the handcoded syllables and train a logistic regress...

This study investigated the relationships between the active learning strategies (discussion, video clips, game show, role– play, five minute paper, clarification pauses, and small group) and academic achievement among a sample of 158 undergraduate psychology students in The University of the West Indies (UWI), Barbados. Results revealed statistically significant positive correlations between a...