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This paper reviews existing methods used to address questions about interactivity, cognition and learning in multimedia learning environments. Existing behavioural and self-report methods identified include observations, audit trails, questionnaires, interviews, video-stimulated recall, and think-aloud protocols. The limitations of these methods are examined, highlighting the problems with using behavioural information to speculate about the cognitive activity that is occurring; the difficulties posed by relying on the correct interpretation of questions or accurate recall of past events; and the potential for the data collection methods to have an impact on cognition as it is occurring. Functional brain imaging techniques offer a complement to the existing methods, but possess a number of inherent methodological constraints. The specific constraints emerging from a recent pilot study carried out by the authors are discussed in detail, including: limitations on learner-computer interaction because of the need to use MRI compatible input devices; activation from motor tasks potentially confounding the results of comparisons between cognition occurring during interactive and non-interactive resources; visual differences between multimedia conditions potentially confounding the results due to activation associated with the visual processing; and problems with the provision of "baseline" or "rest" conditions for comparison purposes during holistic problem-based tasks. Despite these constraints it is argued that the use of functional imaging techniques within this field of research has significant potential. (Contains 4 figures.)

This article explores the potential learning benefits of three-dimensional (3-D) virtual learning environments (VLEs). Drawing on published research spanning two decades, it identifies a set of unique characteristics of 3-D VLEs, which includes aspects of their representational fidelity and aspects of the learner-computer interactivity they facilitate. A review of applications of 3-D VLEs is presented, leading to the identification of a series of learning affordances of such environments. These affordances include the facilitation of tasks that lead to enhanced spatial knowledge representation, greater opportunities for experiential learning, increased motivation/engagement, improved contextualisation of learning and richer/more effective collaborative learning as compared to tasks made possible by 2-D alternatives. The authors contend that the continued development of and investment in 3-D games, simulations and virtual worlds for educational purposes should be considered contingent on further investigation into the precise relationships between the unique characteristics of 3-D VLEs and their potential learning benefits. To this end, they conclude by proposing an agenda or "roadmap" for future research that encompasses empirical studies aimed at exploring these relationships, as well as those aimed at deriving principles and guidelines to inform the design, development and use of 3-D virtual environments for learning.

This article describes the findings of a qualitative study investigating teacher perspectives on the impact of interactive whiteboards (IWBs) on their classroom teaching practice, using intensive case studies focusing on six primary and secondary teachers from two rural schools. The study found that all teachers were enthusiastic, had seen improvements in student engagement, and were able to develop and evolve their IWB teaching strategies through explicit reflection. However, there was considerable diversity both in the ways in which the IWB was used and in the degree to which teachers changed their classroom teaching practices. Whereas some (Glover and Miller, 2001; Kennewell, 2006) have been critical of IWB adoption without clear pedagogical transformation or without utilisation of all IWB features, we argue that one of the IWB's key benefits is that it can be used initially without requiring a big shift in pedagogy but that it may gradually afford more major pedagogical changes over a longer period of time. These findings are important for the design of professional development in schools because with such a diversity of perceived IWB affordances, effective professional development is more likely to take the form of informal practice sharing than of specific hardware or software training.

Modern information technology and computer science curricula employ a variety of graphical tools and development environments to facilitate student learning of introductory programming concepts and techniques. While the provision of interactive features and the use of visualization can enhance students' understanding and assist them in grasping fundamental ideas, the real difficulty for many students lies in making the transition from relying on the graphical features of these tools, to actually writing programming code statements in accordance with a set of plain English instructions. This article opens with a systematic review of the literature on alternative approaches to teaching object-oriented programming (OOP) to novice programmers. It then describes the rationale behind an "objects first, class user first" approach to introducing OOP, arguing for the use of interactive GUI-based visualization tools such as BlueJ as cognitive tools to allow learners to represent and manipulate their mental models or schemas. Finally, it reports on a study involving a cohort of students undertaking an introductory OOP unit in Java. The study investigated the effectiveness of: (i) the graphical features of BlueJ as a cognitive tool while performing coding tasks as part of a test; and (ii) the use of screencasts (video screen captures) of BlueJ to provide scaffolding during learning, which involves the provision of temporary support structures to assist learners in attaining the next stage or level in their development. The screencasts were used in conjunction with a series of structured exercises by providing an intermediate stepping stone to ease the transition to the writing of program code. The study found no significant effect of screencasts during the learning phase of the study, and no significant effect of BlueJ during testing. This result runs counter to theoretical predictions and consequently is important both for researchers focusing on the pedagogy associated with learning programming as well as those interested in the broader applications of animated instructional resources and cognitive tools. In the article, the authors postulate a number of reasons for the lack of significant effects to support their hypotheses. Firstly, it is possible that some, or perhaps many, participants who had access to BlueJ during the testing phase did not actually use it to assist them in answering the test questions. Secondly, since the screencasts and BlueJ were intended to ease students' transition to code, the data collection was conducted immediately following the participants' initial exposure to code statements. This gave rise to the possibility that they may not have been ready to attempt the questions framed at a high level of abstraction, which accounted for a majority of the test marks. The authors had hypothesized that the most benefit in providing the screencast-based scaffolding and the use of BlueJ as a cognitive tool was likely to be gained in assisting students with writing code for English instructions at this high level of abstraction; however, at this point in the semester they may not have been adequately prepared to undertake these types of questions, which required them to interpret the high-level task requirements and decompose them into individual object and class operations that would achieve the desired outcome (object state). Further research will need to be carried out to determine whether these hypothesized reasons for the lack of an identifiable difference between conditions can be supported, whether other factors are responsible, or whether in fact neither BlueJ screencasts nor the use of BlueJ as a cognitive tool actually enhance learning. One possible approach to a follow-up study would involve using a smaller number of students, but carrying out intensive observation during the experiment in order to determine the degree to which, and ways in which, BlueJ is used. This may include an oral component incorporating think-aloud protocols (Ericson & Simon, 1993) and/or follow-up interviews to gain deeper insight into and understanding of the participants' thought processes as they attempt the various questions in the test, as well as to identify gaps in their understanding in relation to the test questions. In addition to informing on the value of screencasts and cognitive tools for the learning of programming, such a study would also reveal in greater depth the nature of the cognitive stages involved in learning to write object-oriented program code from English instructions. (Contains 1 figure and 8 tables.)

This paper describes two empirical studies which investigated the importance for spatial learning of view control and object manipulation within 3D environments. A 3D virtual chemistry laboratory was used as the research instrument. Subjects, who were university undergraduate students (34 in the first study and 80 in the second study), undertook tasks in the virtual laboratory and were tested on their spatial knowledge through written tests. The results of the study indicate that view control and object manipulation enhance spatial learning but only if the learner undertakes authentic tasks that require this learning. These results have implications for educational designers making a choice between video or animation and interactive 3D technologies. The results are discussed within the framework of Piaget's theories on active learning and Gibson's ecological theory of perception and action. (Contains 3 tables and 4 figures.)

Discusses changes in accepted approaches to teaching and learning, shifts in psychological and pedagogical theory towards a constructivist view of learning, and the consequences of these theoretical shifts for computer assisted learning. Explains a classification scheme for constructivism that provides a framework for looking at constructivist approaches to computer assisted learning. (Author/LRW)