147 research outputs found

    An investigation of the role of background music in IVWs for learning

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    Empirical evidence is needed to corroborate the intuitions of gamers and game developers in understanding the benefits of Immersive Virtual Worlds (IVWs) as a learning environment and the role that music plays within these environments. We report an investigation to determine if background music of the genre typically found in computer‐based role‐playing games has an effect on learning in a computer‐animated history lesson about the Macquarie Lighthouse within an IVW. In Experiment 1, music stimuli were created from four different computer game soundtracks. Seventy‐two undergraduate students watched the presentation and completed a survey including biographical details, questions on the historical material presented and questions relating to their perceived level of immersion. While the tempo and pitch of the music was unrelated to learning, music conditions resulted in a higher number of accurately remembered facts than the no music condition. One soundtrack showed a statistically significant improvement in memorisation of facts over other music conditions. Also an interaction between the levels of perceived immersion and ability to accurately remember facts was observed. Experiment 2, involving 48 undergraduate students, further investigated the effect of music, sense of immersion and how different display systems affect memory for facts

    Estimating non-response bias in a web-based survey of technology acceptance : a case study of unit guide information systems

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    Surveys are mostly challenged by response rates. Among the various types of survey research, web-based (internet-based/electronic/online) surveys are commonly used for data collection for a geographically diverse population. In surveys with high/low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response there are different approaches and techniques that help to identify reasons of non-response bias. The aims of this paper are twofold. (1) To provide an appropriate, interesting and important non-response bias case study for future web-based surveys that will provide guidance to other Information Systems researchers. The case-study concerns an online-survey to evaluate a technology acceptance model for Unit Guide Information systems (UGIS). (2) To discuss how nonresponse bias in a web-based technology acceptance study of an information system (UGIS in this case) can be contained and managed.<br /

    Predicting the acceptance of unit guide information systems

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    Information Systems can play an important role in ensuring and improving the quality of education provided. However, lack of acceptance of these information systems and resistance of technology innovations by the end users limit the expected benefits of the system. This research attempts to identify the key determinants for the acceptance of the Unit Guide Information Systems (UGIS) in the Australian higher education sector. The technology acceptance model (TAM), social cognitive theory (SCT) and model of PC utilization (MPCU) are combined to provide a new framework for this analysis. Results of the study are consistent with the technology acceptance factors for explaining the behavioural intention of the academics. The study also shows the effects of application specific self-efficacy, application specific anxiety and social influence on the acceptance of UGIS. Implications of the results are discussed within the context of unit guides and curriculum mapping.<br /

    A Student Retention Model: Empirical, Theoretical and Pragmatic Considerations

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    This research-in-progress paper draws on an extensive body of literature related to student retention. The purpose of this study is to develop a student retention model utilising student demographic data and a combination of data from student information systems, course management systems and other similar tools to accurately predict academic success of students at our own institution. Our research extends Tinto’s model by incorporating a number of components from Bean’s, Astin’s and Swail’s model. Our proposed eclectic model consists of seven components, identified as determinants of student retention. The strength in the model lies in its ability to help institutions work proactively to support student retention and achievement. The proposed research methodology to be used in this study is “a mixed-methods concurrent triangulation strategy”. The results are expected to indicate which of the factors are most important in developing an information system to predict and suggest interventions to improve retention

    Student Preferences and Attitudes to the Use of Early Alerts

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    Learning analytics is receiving increased attention because it offers to assist higher educational institutions in improving and increasing student success by automating the identification of at-risk students, thereby enabling interventions. While learning analytics research has focused on detection and appropriate interventions, such as early alerts, there has been little investigation of student attitudes and preferences towards receiving early alerts. In this paper, we report the results of a study involving three first year units that sought to determine the opinions and preferences of students on their attitudes towards the interventions; how to best contact students; their academic issues; type(s) and quality of communication with the teaching staff; and types of university services required and received. We found that the majority of students did want to be alerted, preferred to receive alerts as soon as performance was unsatisfactory, and strongly preferred to be alerted via email, then face-to-face then phone

    Peer learning beyond the curriculum in university statistics courses

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    Peer learning in statistics can occur in a variety of settings, including class collaborations and assessment in the form of group projects. Most reports indicate that it has positive effects on learning. However, peer learning can also be organised by students themselves outside course requirements, to similar positive effect. In this paper, we investigate this second form, sometimes referred to as ‘peer learning beyond the curriculum’. The parameters of the project were derived from a similar study in the discipline of music, conceived as an action research collaboration between students and academics. A series of focus group interviews was carried out with students in a range of university statistics classes, introductory and later-year, majoring in statistics or studying statistics as a component of another discipline. These were arranged and run by a group of statistics students participating as researchers and peer learners in a ‘vertical’ research team that also included more experienced academics from statistics and other disciplines. The team found that first-year students were well aware of the academic and social benefits of forming study groups to support each other’s statistics learning, and they gave clear advice to future students to do so. By contrast, peer learning in later-year classes played a more nuanced role that seemed to depend on the major discipline in which statistics was being studied – possibly due to the particular aspects of statistics that were in focus. Comparisons with peer learning in other disciplines shed more light on the various ways that peer learning in statistics can be utilised in different contexts, and suggest various implications for improving statistics pedagogy

    Changing Student Attitudes and Behaviours to Academic Integrity through Reflection with a Conversational Agent

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    Facilitated by technology, breaches of academic integrity take many different forms such as using the information as it is, collusion, fabricating information, and contract cheating. To counteract, universities offer academic integrity modules, policies, and procedures for students to follow on their websites. However, academic misconduct is still rampant. With advancements in technology, higher education institutions have an opportunity to promote ethical principles in innovative ways. In this paper, we present a work-in-progress collaborative project that proposes use of an artificially intelligent pedagogical conversational agent. The approach seeks to augment existing ways of educating students about academic integrity concepts by seeking to change their underlying motivations and beliefs about academic integrity and the consequences of misconduct through reflective review and discussion of the reasons why, consequences of and alternatives to committing academic misconduct

    A Review of the Aims and Principles of Guidance Activities in Schools

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    Guidance is the activities carried out by experts to find solutions to people’s problems and support their developmental processes. In order for these activities to be carried out correctly, some principles and objectives must be taken into account. The fact that all people need help in their developmental processes and that each person is a case is the most important principle of guidance. All activities are shaped around this principle. With the adoption of this principle, the help people need can be given more effectively. In addition, preparing people for the future as the modern world needs is the foremost aim of guidance
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