Made available in DSpace on 2016-12-12T20:22:53Z (GMT). No. of bitstreams: 1 Jucilene Rosa Citadin.pdf: 3612746 bytes, checksum: 166b327aaf526b2c31111cff753d5b74 (MD5) Previous issue date: 2015-08-31 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A formação de grupos para a aprendizagem colaborativa é uma tarefa importante, pois deve permitir a efetiva interação dos membros de um grupo. No entanto, a explosão combinatória relativa ao número de estudantes torna a formação de grupos um problema de otimização combinatória, que é NP-hard, isto é, um problema que não tem solução ótima em tempo polinomial. A resolução desses problemas de complexidade não polinomial requer um grande esforço computacional e aplicação de heurísticas ou meta-heurísticas para chegar a soluções viáveis em tempos adequados. Uma meta-heurística que tem provado ser eficiente na resolução de problemas de otimização NP-hard são os algoritmos genéticos (AG). Por isso, esta pesquisa avalia a adoção de algoritmos genéticos para a formação de grupos na aprendizagem colaborativa, considerando um contexto massivo de dados (milhares de estudantes). Pesquisas bibliográficas e um mapeamento sistemático da literatura sobre formação de grupos para aprendizagem colaborativa foram realizados. Constituir grupos de forma automática, considerando a abordagem selecionada e o critério heterogêneo, utilizando como recurso algoritmos genéticos, foram os resultados apontados pelo mapeamento. Assim, esta pesquisa se propôs a gerar grupos heterogêneos de forma automática, utilizando como abordagem grupo selecionado, considerando os conhecimentos e as interações dos estudantes. Algoritmos genéticos foram utilizados para a formação dos grupos, que teve como objetivo maximizar a heterogeneidade dos conhecimentos e as interações dos estudantes no grupo, além de gerar grupos balanceados entre si (inter-homogêneos). Foram desenvolvidos dois algoritmos, um AG e um randômico como método base de comparação. Ambos foram testados considerando dados de mil até dez mil estudantes, com diferentes configurações dos conhecimentos e interações. A comparação foi feita considerando o fitness, o percentual de grupos heterogêneos e/ou balanceados gerados pelos algoritmos e o tempo de processamento gasto por grupo gerado. Os resultados apontam que AG é eficaz para a formação de grupos heterogêneos na aprendizagem colaborativa. Os resultados do AG foram mais eficientes que os resultados do algoritmo randômico, para conhecimentos heterogêneos e conhecimentos aleatórios. Para conhecimentos homogêneos o AG teve a mesma eficiência que o algoritmo randômico, porém é mais eficaz, pois gera mais grupos balanceados do que o algoritmo randômico.

The increasing cultural and social diversity of South African society necessitates a study of the formation of harmonious social relationships amongst students at multicultural tertiary institutions. Desegregation at educational institutions is still in its embryonic stage and the minimal changes at college campuses are tokenistic. Educators have to make a concerted effort to review the dynamics and complexities of institutional change and to deviate from the straitjacket of upholding only ethnocentric views. A lack of communication and understanding between the different racial and ethnic groups on South African campuses has resulted in conflict and tension. This study takes an in-depth look at the psychology of prejudice, issues of ethnicity, racism and discrimination. A literature study and an empirical research project are used to gain an overview of the ramifications of racism on the formation of friendships in a multicultural milieu. The results of this study indicate the need to create a diversified campus environment which will promote genuine cross-cultural exchange. Working with culturally different students is a challenge that requires an acceptance and appreciation of diversity; flexibility, and improved contact and communication. Structured multicultural models and procedural frameworks have been designed implementation at institutions of specifically for higher learning to enhance social cohesion. are made: The following recommendations * Transitions models such as the contact hypothesis and the co-operative learning models promote the need for an interracial contact of people with equal status in co-operative situations. *Prejudice-Reduction Workshops will enable participants to learn about prejudice and to develop a positive mind-set towards all racial groups. *Specialized Programmes such as intercultural simulation games are ideal for discussions on culture shock, ethnocentrism and enculturation. * Mentoring Programmes ought to be designed to meet the needs of diverse students by providing wise and friendly counsel. * Academic Support Programmes or Affirmative Action * Strategies are necessary to assist succeed by providing language and students to study skills programmes, additional tutorials and content-based instruction for specialized courses. Special trainiog courses for educators ought to be initiated to · shape significant aspects of . an intercultural campus environment. * Preparatory Programmes which will improve interpersonal relationships, should be held prior to college entrance. / Psychology of Education / D.Ed. (Psychology of Education)

Higher education is still mainly based on traditional face-to-face teaching formats such as lectures. Although known for a long time, the demand for alternative lecture designs has only recently grown significantly due to the present pandemic crisis, which requires a physical separation between the students and also the lecturer. This separation results in challenges of its own: While most solutions already allow the lecture to be held via streaming, it is even more challenging to involve students, or to create interactions with them or between them. Some approaches allow to activate students through simple polls, chats, or collaboration in breakout sessions. However, either the functional scope of these activities is severely limited or they are restricted to small scenarios. The contents of this paper have been under investigation for some time, but in lieu of the current CoViD-19 pandemic, the authors have decided to apply their preliminary findings in actual lectures and present the results here. The main goal is to investigate the addition of more advanced activities that can be adapted to the current scenario. Therefore, an approach is presented that enables lecturers to create custom workflows of interactive activities such as several types of polls, question and answer, instant feedback, or group formations with corresponding interactions. The application in real scenarios is currently being investigated.

Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2016-06-01T10:57:51Z No. of bitstreams: 2 Dissertação - Matheus Rudolfo Diedrich Ullmann - 2016.pdf: 1264745 bytes, checksum: 65f8378224bd7fd700216a920f2da7a0 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-06-01T11:00:53Z (GMT) No. of bitstreams: 2 Dissertação - Matheus Rudolfo Diedrich Ullmann - 2016.pdf: 1264745 bytes, checksum: 65f8378224bd7fd700216a920f2da7a0 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Made available in DSpace on 2016-06-01T11:00:53Z (GMT). No. of bitstreams: 2 Dissertação - Matheus Rudolfo Diedrich Ullmann - 2016.pdf: 1264745 bytes, checksum: 65f8378224bd7fd700216a920f2da7a0 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2016-02-26 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / The MassiveOpenOnlineCourses(MOOCs)areonlinecourseswithopenenrollment that involvingahugeamountofstudentsfromdifferentlocations,withdifferentback- grounds andinterests.Thelargenumberofstudentsimpliesahugeandunmanageable number ofinteractions.Thisfact,alongwiththedifferentinterestsofstudents,resulting in low-qualityinteractions.Duetothelargenumberofstudents,alsobecomesunviable composition manuallylearninggroups.DuetothesecharacteristicspresentinMOOCs, a methodforforminggroupswasdevelopedinthiswork,asanattempttoattendthedi- chotomy existsbetweenthecollective,whichinvolvestheformationofanonlinelearning community onamassivescale,andindividual,withdifferentinterests,priorknowledge and expectationsanddifferentleadershipprofiles.Fortheformationofgroups,anadapta- tion ofParticleSwarmOptimizationalgorithmwasproposedbasedonthreecriteria,kno- wledge level,interestsandleadershipprofiles,formingthengroupswithdifferentlevels of knowledge,similarinterestsanddistributedleadership,providingbetterinteractionand knowledgeconstruction.Werecreatedtwovariationsoftheproblem,withfivestudents and theothersix.Basedoncomputationaltests,thealgorithmdemonstratedthatableto attend thegroupingcriteriainasatisfactorycomputingtimeandismoreefficientthanthe model randomgroupsformation.Thetestsalsodemonstratedthatthealgorithmisrobust taking intoaccountthevariousdatasetsanditerationsvariations.Toevaluatethequality of interactionsandknowledgebuildingingroupsformedbythemethod,Acasestudy wasconducted;andfortheanalysisofthecollecteddiscourses,itwastakenasthebasis twomodelsofdiscourseanalysisfoundintheliterature.Theresultsofthecasestudy demonstrated thatthegroupsformedbytheproposedmethodachievedthebestresultsin the interactionsandknowledgeconstruction,whencomparedwithgroupsthatdonotuse it. / Os Massive OpenOnlineCourses (MOOCs) sãocursos online com inscriçõesabertas que envolvemumaenormequantidadedeestudantesdediferenteslocalidades,comdife- rentes backgrounds e interesses.Ograndenúmerodealunosimplicaemumaenormee não gerenciávelquantidadedeinterações.Estefato,juntamentecomosinteressesdife- rentes dosalunos,resultaeminteraçõesdebaixaqualidade.Devidoàgrandequantidade de alunos,tambémtorna-seinviávelacomposiçãodegruposdeaprendizagemdeforma manual. DevidoàessascaracterísticaspresentesnosMOOCs,ummétodoparaformação de gruposfoidesenvolvidonestetrabalho,comoumatentativaparaatenderadicoto- mia queexisteentreocoletivo,queenvolveaformaçãodeumacomunidade online de aprendizagem emumaescalamaciça,eoindividual,comdiferentesinteresses,conhe- cimentos prévioseexpectativasecomdiferentesperfisdeliderança.Paraaformação dos grupos,umaadaptaçãodoalgoritmo ParticleSwarmOptimization foi propostacom base emtrêscritérios,níveldeconhecimento,interesseseperfisdeliderança,formando então gruposcomníveisdeconhecimentodiferentes,interessessemelhanteseliderança distribuída,proporcionandoumamelhorinteraçãoeconstruçãodeconhecimento.Foram criadas duasvariaçõesdoproblema,umacomcincoalunoseoutracomseis.Combase em testescomputacionais,oalgoritmodemonstrouqueconsegueatenderoscritériosde agrupamento emumtempodecomputaçãosatisfatórioeémaiseficientequeomodelode formação degruposaleatório.Ostestesdemonstraramtambémqueoalgoritmoérobusto levandoemcontaosvariadosconjuntosdedadosevariaçõesdeiterações.Paraavaliara qualidade dasinteraçõeseaconstruçãodeconhecimentonosgruposformadospelomé- todo, umestudodecasofoirealizado;eparaaanálisedosdiscursoscoletados,tomou-se como basedoismodelosdeanálisedediscursopresentesnaliteratura.Oresultadodo estudo decasodemonstrouqueosgruposformadospelométodopropostoobtiveramos melhores resultadosnasinteraçõeseconstruçãodoconhecimento,quandocomparados com osgruposquenãooutilizaram.

A dynamic movement known as wealth creation education attracts many thousands of people seeking education for the vocation of an entrepreneur in the UK. Entrepreneurship education in these collectives includes venturing know-how but also co-constructs existential meaning and purpose for adherents, a role traditionally fulfilled by religion. This emergent sectarian movement is identified as wealth creationism. Led by charismatic entrepreneurs this newly identified research domain represents rich opportunities to study entrepreneurs in naturally arising settings, but has been neglected and understudied. While publicly subsidised educational support for small-business owners has suffered from low uptake, this study provides new knowledge about the kind of education that is engaged with in large numbers, despite being more expensive. This inquiry critically examines the attraction of these educational collectives and evaluates the social processes of eight wealth creation education providers in England. Teaching content and methods were also investigated. This qualitative study takes an interpreted approach through a social constructionism perspective. Using grounded theory methodology the providers were initially researched through participative observation in the educational settings followed by theoretically sampling data with various collection methods. Interdisciplinary theories, including the sociology of religion, accounted for findings, which were analysed at the meso-group level. The movement teaches entrepreneurship know-how and 'mindset' - ways of thinking and being. Insulating directives of behaviour and the construction of stigmatised out-groups maintain social boundaries. Employing similar narrative features and resources as religious sects, the socially constructed co-extensive nomos and cosmos privileges esoteric knowledge and is closely identified with modern Gnosticism. Participants do not acknowledge religious interpretations of their activities, yet three North American authors provide plausible canonical works that legitimise the movement. Wealth Creationists display entrepreneurial chauvinism, which equates employment with bondage, viewing the employed as slaves. Adherents choose educators with perceived entrepreneurial credibility to lead them on a purposeful mission for the type of knowledge that promises emancipation. This study is significant for both researchers of entrepreneurs and the sociology of religion. It offers participating entrepreneurs critical insights into the charismatic settings, which can be both enabling and disabling for venturing. This study has implications for academics engaged in outreach to small-business owners who may learn from the marketing tactics of these groups, although academics may still lack perceived credibility. Insights into business group formation will be of interest to business group researchers. A map of educational provision may interest researchers and educators of small and microbusiness owners, and those from the fields of entrepreneurial learning.