Hypermedia learning and prior knowledge: Domain expertise vs. system expertise

Prior knowledge is often argued to be an important determinant in hypermedia learning, and may be thought of as including two important elements: domain expertise and system expertise. However, there has been a lack of research considering these issues together. In an attempt to address this shortcoming, this paper presents a study that examines how domain expertise and system expertise influence students’ learning performance in, and perceptions of, a hypermedia system. The results indicate that participants with lower domain knowledge show a greater improvement in their learning performance than those with higher domain knowledge. Furthermore, those who enjoy using the Web more are likely to have positive perceptions of non-linear interaction. Discussions on how to accommodate the different needs of students with varying levels of prior knowledge are provided based on the results

Online discussion compensates for suboptimal timing of supportive information presentation in a digitally supported learning environment

This study used a sequential set-up to investigate the consecutive effects of timing of supportive information presentation (information before vs. information during the learning task clusters) in interactive digital learning materials (IDLMs) and type of collaboration (personal discussion vs. online discussion) in computer-supported collaborative learning (CSCL) on student knowledge construction. Students (N = 87) were first randomly assigned to the two information presentation conditions to work individually on a case-based assignment in IDLM. Students who received information during learning task clusters tended to show better results on knowledge construction than those who received information only before each cluster. The students within the two separate information presentation conditions were then randomly assigned to pairs to discuss the outcomes of their assignments under either the personal discussion or online discussion condition in CSCL. When supportive information had been presented before each learning task cluster, online discussion led to better results than personal discussion. When supportive information had been presented during the learning task clusters, however, the online and personal discussion conditions had no differential effect on knowledge construction. Online discussion in CSCL appeared to compensate for suboptimal timing of presentation of supportive information before the learning task clusters in IDLM

An interactive approach to learning economics: The WinEcon package

Under the TLTP initiative, the Economics Consortium is developing an interactive computer‐based learning package called WinEcon. The package is directed at first‐year economics undergraduates, particularly those taking economics as a supplementary course. Using recent technological developments, the aim is both to facilitate a further increase in student numbers without a proportionate increase in teaching staff, and to provide a better method of student learning. Some key elements of WinEcon are set out in this paper and demonstrated by screens produced at Leicester University. Methods of presenting textual information that give the user control over accessing it are described. For learning difficult concepts, a visual active learning approach is discussed. It involves user interaction and step‐by‐step analysis. The importance of flexibility and choice is emphasized, and the capacity of the computer to assist in deepening and consolidating learning is shown

Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks

A major challenge for the realization of intelligent robots is to supply them with cognitive abilities in order to allow ordinary users to program them easily and intuitively. One way of such programming is teaching work tasks by interactive demonstration. To make this effective and convenient for the user, the machine must be capable to establish a common focus of attention and be able to use and integrate spoken instructions, visual perceptions, and non-verbal clues like gestural commands. We report progress in building a hybrid architecture that combines statistical methods, neural networks, and finite state machines into an integrated system for instructing grasping tasks by man-machine interaction. The system combines the GRAVIS-robot for visual attention and gestural instruction with an intelligent interface for speech recognition and linguistic interpretation, and an modality fusion module to allow multi-modal task-oriented man-machine communication with respect to dextrous robot manipulation of objects.Comment: 7 pages, 8 figure

Interaction Histories and Short-Term Memory: Enactive Development of Turn-Taking Behaviours in a Childlike Humanoid Robot

In this article, an enactive architecture is described that allows a humanoid robot to learn to compose simple actions into turn-taking behaviours while playing interaction games with a human partner. The robot’s action choices are reinforced by social feedback from the human in the form of visual attention and measures of behavioural synchronisation. We demonstrate that the system can acquire and switch between behaviours learned through interaction based on social feedback from the human partner. The role of reinforcement based on a short-term memory of the interaction was experimentally investigated. Results indicate that feedback based only on the immediate experience was insufficient to learn longer, more complex turn-taking behaviours. Therefore, some history of the interaction must be considered in the acquisition of turn-taking, which can be efficiently handled through the use of short-term memory.Peer reviewedFinal Published versio

Enhancing Creativity in Interaction Design: Alternative Design Brief

This paper offers a critique of the design brief as it is currently used in teaching interaction design and proposes an alternative way of developing it. Such a design brief requires the exploration of alternative application domains for an already developed technology. The paper presents a case study where such a novel type of design brief has been offered to the students taking part in a collaborative design project and discusses how it supported divergent thinking and creativity as well as helped enhancing the learning objectives

The use of electronic voting systems in lectures within business and marketing: a case study of their impact on student learning

This article presents a case study of the impact on student learning of introducing an electronic voting system (EVS) into large‐group lectures for first‐year undergraduate students undertaking degrees in marketing and business systems. We discuss the potential for using EVS‐style interactive lectures in marketing and business programmes. We then describe how we planned the session and selected and implemented the EVS system. We go on to present an evaluative research project, which was undertaken on the innovation using case‐study methodology, and assess its impact on student learning. Data for the evaluation were collected through questionnaire and focus groups with a sample of students. The data were analysed using thematic analysis. The findings show how students perceived the use of EVS in large lectures and how their learning was affected. A ‘three‐fold typology’ emerged that explains how students related to the EVS and how their perceptions of EVS changed over time. The discussion links these findings to the literature on different paradigms of learning and teaching, using Renshaw’s framework, and examines how the EVS‐style lectures promote deep and active learning within the constructivist, social constructivist and metacognitive learning paradigms identified in Renshaw’s model. The conclusions show how the use of a user‐friendly EVS in large lectures motivates students, develops students’ cognitive and social learning skills, and improves learning effectiveness