130 resultados para peer-to-peer (P2P) computing


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Games require balance to be fair and enjoyable. In two player combat settings balance can be achieved by ensuring that both units are equally capable. The possibility of alliances changes the nature of balance when additional players are introduced. One approach to achieving balance is to use a domination loop between agents in a rock, scissors, paper style approach. This paper investigates whether such loops exist within the existing rules of game combat. Search processes within the attribute space of the game units are used to identify loops within an existing game architecture. A dominance metric is used to identify cycles where the victory is achieved by a clear threshold. Cycles with up to 5 players are demonstrated, although larger cycles require more effort to find. Use of models of game play and attribute space search are recommended as a mechanism for balancing games of this format.

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This paper considers the possibility of gender bias in peer ratings for contributions to team assignments, as measured by an online self-and-peer assessment tool. The research was conducted to determine whether peer assessment led to reliable and fair marking outcomes. The methodology of Falchikov and Magin was followed in order to test their finding that gender has no discernable impact on peer ratings. Data from over 1500 participants at two universities enrolled in four different degree programmes were analysed. The research indicates an absence of gender bias in six case studies. The research also found that women received significantly higher ratings than men.

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Social and participatory media offer opportunities to interact and share user-generated content. After some investigation and research, the authors are in their initial stages of using such media to provide a pathway for thinking about learning design in higher education. Using the concept of remixing, the authors aim to creatively blend and manipulate ideas to build a sustainable approach to course/program enhancement. Remixing is touted as one of the most important practices within the field of open educational resources, but it is not mainstream practice in educational thinking or design. This article highlights the authors’ approach and uses their pre-service teacher education program and their previous high school study as an example of remixing. The high school study involved the integration of social and participatory media into the face-to-face classroom; Author 1 was the practitioner researcher in the high school study. This article articulates the use of online social environments at the high school level to highlight concepts of sharing and remixing as a creative and social approach to designing learning in higher education. It also attempts to consider this within a course-wide approach.

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In 2010 the Australian government commissioned the Australian Learning and Teaching Council (ALTC) to undertake a national project to facilitate disciplinary development of threshold learning standards. The aim was to lay the foundation for all higher education providers to demonstrate to the new national higher education regulator, the Tertiary Education Quality and Standards Agency (TEQSA), that graduates achieved or exceeded minimum academic standards. Through a yearlong consultative process, representatives of employers, professional bodies, academics and students, developed learning standards applying to any Australian higher education provider. Willey and Gardner reported using a software tool, SPARKPLUS, in calibrating academic standards amongst teaching staff in large classes. In this paper, we investigate the effectiveness of this technology to promote calibrated understandings with the national accounting learning standards. We found that integrating the software with a purposely designed activity provided significant efficiencies in calibrating understandings about learning standards, developed expertise and a better understanding of what is required to meet these standards and how best to demonstrate them. The software and supporting calibration and assessment process can be adopted by other disciplines, including engineering, seeking to provide direct evidence about performance against learning standards. © 2012 IEEE.

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In this paper, a new fuzzy peer assessment methodology that considers vagueness and imprecision of words used throughout the evaluation process in a cooperative learning environment is proposed. Instead of numerals, words are used in the evaluation process, in order to provide greater flexibility. The proposed methodology is a synthesis of perceptual computing (Per-C) and a fuzzy ranking algorithm. Per-C is adopted because it allows uncertainties of words to be considered in the evaluation process. Meanwhile, the fuzzy ranking algorithm is deployed to obtain appropriate performance indices that reflect a student's contribution in a group, and subsequently rank the student accordingly. A case study to demonstrate the effectiveness of the proposed methodology is described. Implications of the results are analyzed and discussed. The outcomes clearly demonstrate that the proposed fuzzy peer assessment methodology can be deployed as an effective evaluation tool for cooperative learning of students.

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The increasing use of peer assessment in higher education institutions, as well as its benefits in term of students' learning is well documented. Distance education can be fraught with challenges, but creating a community of practice has been proven to increase student engagement and learning. This paper reports on the implementation of peer assessment of online asynchronous group discussions to foster a community of practice and equip future graduates with lifelong skills relevant to their chosen professional path. Through a careful preparation of students, the implementation of the peer assessment process proved beneficial. This paper describes the analysis performed to establish the validity and reliability of the peer assessment process in the context of a 3rd year unit of study of the bachelor of nursing at Charles Darwin University. © 2010 Stéphane Bouchoucha & Helen Wozniak.

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Deakin University’s online study environment continues to grow with over 12,000 students now studying in the Cloud. It is important to provide these students not only academic support, but also a sense of inclusion and community. This will improve their social engagement and from there, they will more likely succeed. In 2015, the Division of Student Life ran an online pilot based on their successful Peer -Assisted Study Sessions program. Results from the pilot were positive. Students reported greater connection with the subject and with their fellow students. The program will be expanded in 2016 based on this pilot.

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The importance of integrating technology into the classroom has become a priority atmo st levels of the curriculum in many countrie s around the world. Th is paper draws onthe evaluation and research that informed four outreach programs. The authorsacknowledge that teachers are generally time poor and often have limited informationand communication technology (ICT) skills and confidence, while students have skillsand knowledge in ICT that often go untapped in the classroom. They present acurriculum that promoted peer to peer learning and support for teachers. This is amodel of pedagogy for outreach that promotes a community of learners between ICTteachers, generalist teachers and preservice teachers while promoting socio-culturalstudent led learning practices in the classroom.

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This chapter considers a simple but important question: can students fairly assess each other’s individual contribution to team designs? The chapter focuses on a key problem when using online self-and-peerassessment to individualising design grades for team assignments, namely rater bias – the possibility of students being biased when assessing their own and their peers’ contributions. Three rater-bias issuesare considered in depth: (1) self-overmarking; (2) gender bias and gender differences; and (3) out-group bias in the peer assessment of international students in multicultural cohorts. Each issue is explored viathe analysis of eight years of quantitative data from the use of an online self-and-peer assessment tool. Evidence is found of self-overmarking and of out-group bias in nonhomogeneous cohorts. However, no evidence is found of gender bias. The chapter concludes with recommendations for design teachers around the assessment of individual contributions to teamwork using self-and-peer assessment.

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Teamwork is generally assessed either solely by academic staff or by both academic staff andstudents themselves confidentially as well as collaboratively. Peer- and self-assessments have beenused primarily to assess teamwork process and teacher assessment to assess teamwork product.Peer- and self-assessments are useful to elicit team members’ contribution towards teamwork and toconvert team mark into individual marks, provided the scores are reliable (the extent to which thescores are consistent). However, not all peer- and self-assessment scores are reliable. Anecdotal andliterature evidence suggest that there are several cases of inconsistencies in these scores. Individualcontribution scores given by teammates to an assessee (including himself/herself) can sometimesvary significantly due to both intentional and unintentional reasons. Simply using total individual ratingscores without considering an assessor’s reliability to estimate individual contribution factors cansometime results unfair grades and becomes hindrance to learning through teamwork.PURPOSEThis study proposes an extended approach to adjust inconsistent and/or distorted minority peer andself-assessment scores of teamwork using standard normal probability concept.APPROACHIn order to adjust inconsistent and/or distorted minority peer-and self-assessment scores of teamwork,an extended approach has been proposed. The approach uses the reliability of assessor’s scores ofan assessee using standard normal probability curve. The evaluation of the extended approach isconducted by comparing with the existing approaches using two case examples of peer- and selfassessmentof teamwork where minority team members’ scores are inconsistent.RESULTSThe evaluation of the extended approach shows that the proposed method is superior to the availableapproaches in order to adjust inconsistent peer- and self-assessment scores for special cases wherescores of minority team members are inconsistent. The extended approach helps both to automaticallydetect such scoring anomalies and to adjust the scores so that the fairer contributions to the teamworkwould be obtained and utilised.CONCLUSIONSThe extended approach is useful in that it helps both to automatically detect scoring anomalies and todevise the methods to adjust them. However, the approach does not address the issue of scoringinconsistencies by majority of team members as it uses average score as a basis for identifyinginconsistencies. Moreover, the approach needs to be implemented in the real teamwork environmentin order to identify the impacts of these scoring adjustments in teamwork process and teamworkproduct.