Tecnologias Educacionais Estereotipadas: Um desafio a ser enfrentado

Authors

  • Jário Santos Universidade de São Paulo
  • Kamila Benevides Universidade Federal de Alagoas
  • Ester Andrade Universidade Federal de Alagoas
  • João Nascimento Universidade Federal de Alagoas
  • Kelly Silva Universidade Federal de Alagoas
  • Ig Bittencourt Universidade Federal de Alagoas
  • Marcos Pereira Universidade Federal da Bahia
  • Sheyla Fernandes Universidade Federal de Alagoas
  • Cristiana Carina BLD Bittencourt Universidade Federal de Alagoas
  • Seiji Isotani Universidade de São Paulo

DOI:

https://doi.org/10.5753/rbie.2022.2293

Keywords:

Tecnologias educacionais, Estereótipos, Ameaça de estereótipos, Desempenho, Aprendizagem

Abstract

No Brasil, a modalidade de educação online tornou-se mais presente nas instituições de ensino superior. Para atender toda a demanda proporcionada por essa mudança de paradigma, tecnologias educacionais surgem como mediadoras para realização da aprendizagem. Por meio disso, diversos benefícios atrelados com as tecnologias educacionais fazem com o que as tecnologias sejam uma medida fundamental para proporcionar a educação, reforçando ainda mais o processo de ensino-aprendizagem: forma de ensinar e aprender, principalmente no cenário pandêmico gerado pelo Covid-19. Entretanto, algumas tecnologias educacionais possuem limitações em seu Design, desconsiderando atributos que podem ser utilizados para uma construção adequada de tecnologias educacionais, de forma que torne a tecnologia mais personalizada, como: (i) idade; (ii) gênero; (iii) motivações; e, por fim, (iv) perfil e categorias de estudantes. As desigualdades decorrentes da limitação atual na construção das tecnologias educacionais existentes, são objetos de estudo de uma área emergente na literatura denominada Ameaça de Estereótipo. O objetivo deste trabalho é apresentar e discutir desafios presentes no desenvolvimento de tecnologias educacionais, bem como discutir a luz da literatura os problemas associados a estereotipação destas tecnologias desde sua elaboração à sua utilização pelo público-alvo, tendo em vista as possibilidades de produção de vieses e desigualdades que podem prejudicar grupos específicos, e minoritários, de estudantes.Concluímos que a temática relacionada as Tecnologias Educacionais Estereotipadas é uma área diversificada e precisa ser melhor explorada tendo em vista os benefícios que podem advir da melhora dos ambientes educacionais virtuais gamificados.

Downloads

Não há dados estatísticos.

Referências

Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: the challenges and opportunities. Interactive Learning Environments, 1-13. doi: 10.1080/10494820.2020.1813180 [GS Search]

Albuquerque, J., Bittencourt, I. I., Coelho, J. A. P. M., & Silva, A. P. (2017). Does gender stereotype threat in gamified educational environments cause anxiety? an experimental study. Computers & Education, 115, 161-170. doi: 10.1016/j.compedu.2017.08.005 [GS Search]

Bailey, D. R., & Lee, A. R. (2020). Learning from experience in the midst of covid-19: benefits, challenges, and strategies in online teaching. Computer-Assisted Language Learning Electronic Journal, 21, 178-198. doi: 10.31235/osf.io/8srv3 [GS Search]

Beege, M., Schneider, S., Nebel, S., Mittangk, J., & Rey, G. D. (2017). Ageism–age coherence within learning material fosters learning. Computers in Human Behavior, 75, 510-519. doi: 10.1016/j.chb.2017.05.042 [GS Search]

Blashill, A. J., & Powlishta, K. K. (2009). Gay stereotypes: The use of sexual orientation as a cue for gender-related attributes. Sex Roles, 61(11-12), 783-793. doi: 10.1007/s11199-009-9684-7 [GS Search]

Boca, F. D., & Ashmore, R. (1980). Sex stereotypes and implicit personality theory. ii. a trait-inference approach to the assessment of sex stereotypes. Sex Roles, 6, 1-18. doi: 10.1007/bf00287883 [GS Search]

Bosch, N., Huang, E., Angrave, L., & Perry, M. (2019). Modeling improvement for underrepresented minorities in online stem education. Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 327-335. doi: 10.1145/3320435.3320463 [GS Search]

Brusilovsky, P. (1998). Methods and techniques of adaptive hypermedia. In (p. 1-43). Springer. doi: 10.1007/978-94-017-0617-9_1 [GS Search]

Chang, F., Luo, M., Walton, G., Aguilar, L., & Bailenson, J. (2019). Stereotype threat in virtual learning environments: Effects of avatar gender and sexist behavior on women’s math learning outcomes. Cyberpsychology, Behavior, and Social Networking, 22, 634-640. doi:10.1089/cyber.2019.0106 [GS Search]

Chen, S., Binning, K. R., Manke, K. J., Brady, S. T., McGreevy, E. M., Betancur, L., . . . Kaufmann, N. (2021). Am i a science person? a strong science identity bolsters minority students’ sense of belonging and performance in college. Personality and Social Psychology Bulletin, 47, 593-606. doi: 10.1177/0146167220936480 [GS Search]

Cheryan, S., Meltzoff, A. N., & Kim, S. (2011). Classrooms matter: The design of virtual classrooms influences gender disparities in computer science classes. Computers Education, 57, 1825-1835. doi: 10.1016/j.compedu.2011.02.004 [GS Search]

Cheung, A. C. K., & Slavin, R. E. (2013). The effectiveness of educational technology applications for enhancing mathematics achievement in k-12 classrooms: A meta-analysis. Educational research review, 9, 88-113. doi: 10.1016/j.edurev.2013.01.001 [GS Search]

Christy, K. R., & Fox, J. (2014). Leaderboards in a virtual classroom: A test of stereotype threat and social comparison explanations for women’s math performance. Computers Education, 78, 66-77. doi: 10.1016/j.compedu.2014.05.005 [GS Search]

Clark, R. E. (2011). The impact of non-conscious knowledge on educational technology research and design. Educational Technology, 3-11. doi: 10.1007/978-1-4614-3185-5_42 [GS Search]

Conaway, W., & Bethune, S. (2015). Implicit bias and first name stereotypes: What are the implications for online instruction?. Online Learning, 19, 162-178. doi: 10.24059/olj.v19i3.674 [GS Search]

Cromley, J. G., Perez, T., Wills, T. W., Tanaka, J. C., Horvat, E. M., & Agbenyega, E. T.-B. (2013). Changes in race and sex stereotype threat among diverse stem students: Relation to grades and retention in the majors. Contemporary Educational Psychology, 38, 247-258. doi: 10.1016/j.cedpsych.2013.04.003 [GS Search]

Crues, R. W., Henricks, G. M., Perry, M., Bhat, S., Anderson, C. J., Shaik, N., & Angrave, L. (2018). How do gender, learning goals, and forum participation predict persistence in a computer science mooc? ACM Transactions on Computing Education (TOCE), 18, 1-14. doi: 10.1145/3152892 [GS Search]

Deemer, E. D., Thoman, D. B., Chase, J. P., & Smith, J. L. (2014). Feeling the threat: Stereotype threat as a contextual barrier to women’s science career choice intentions. Journal of Career Development, 41, 141-158. doi: 10.1037/t32197-000 [GS Search]

de Oliveira Zilse, S. S., Weber, A. L., & Floriani, J. R. (2021). Graduação em tempos de pandemia-aulas por videoconferência e percepção dos acadêmicos. Revista Paidéi@-Revista Científica de Educação a Distância, 13. doi: 10.29327/3860.13.23-1 [GS Search]

Dhawan, S. (2020). Online learning: A panacea in the time of covid-19 crisis. Journal of Educational Technology Systems, 49, 5-22. doi: 10.1177/0047239520934018 [GS Search]

Dicheva, D., Dichev, C., Agre, G., & Angelova, G. (2015). Gamification in education: A systematic mapping study. Journal of Educational Technology Society, 18, 80-100. doi: 10.1515/cait-2014-0007 [GS Search]

dos Santos, W. O., Bittencourt, I. I., Isotani, S., Dermeval, D., Marques, L. B., & Silveira, I. F. (2018). Flow theory to promote learning in educational systems: Is it really relevant? Revista Brasileira de Informática na Educação, 26, 29. doi: 10.5753/rbie.2018.26.02.29 [GS Search]

Doyle, R. A., & Voyer, D. (2016). Stereotype manipulation effects on math and spatial test performance: A meta-analysis. Learning and Individual Differences, 47, 103-116. doi: 10.1016/j.lindif.2015.12.018 [GS Search]

Eglash, R., Krishnamoorthy, M., Sanchez, J., & Woodbridge, A. (2011). Fractal simulations of african design in pre-college computing education. ACM Transactions on Computing Education (TOCE), 11, 1-14. doi: 10.1145/2037276.2037281 [GS Search]

Fine, M. G., Johnson, F. L., & Ryan, M. S. (1990). Cultural diversity in the workplace. Public Personnel Management, 19, 305-320. doi: 10.1177/009102609001900307 [GS Search]

Flore, P. C., & Wicherts, J. M. (2015). Does stereotype threat influence performance of girls in stereotyped domains? a meta-analysis. Journal of school psychology, 53, 25-44. doi: 10.1016/j.jsp.2014.10.002 [GS Search]

Forman, E. M., Manasse, S. M., Dallal, D. H., Crochiere, R. J., Berry, M. P., Butryn, M. L., & Juarascio, A. S. (2020). Gender differences in the effect of gamification on weight loss during a daily, neurocognitive training program. Translational Behavioral Medicine, 11, 1015-1022. doi: 10.1093/tbm/ibaa091 [GS Search]

Good, C., Aronson, J., & Harder, J. A. (2008). Problems in the pipeline: Stereotype threat and women’s achievement in high-level math courses. Journal of applied developmental psychology, 29, 17-28. doi: 10.1016/j.appdev.2007.10.004 [GS Search]

Haft, S., & Hoeft, F. (2021). A meta-analytic review of the consequences of stigma and stereotype threat for individuals with specific learning disabilities. doi: 10.31234/osf.io/bt7ew [GS Search]

Hess, T. M., Auman, C., Colcombe, S. J., & Rahhal, T. A. (2003). The impact of stereotype threat on age differences in memory performance. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 58, P3–P11. doi: 10.1093/geronb/58.1.p3 [GS Search]

Hieker, C., & Rushby, M. (2017). Diversity in the workplace: How to achieve gender diversity in the workplace. In Handbook of research on human factors in contemporary workforce development (pp. 308–332). IGI Global. doi: 10.4018/978-1-5225-2568-4.ch014 [GS Search]

Jalil, N. A., Yunus, R. M., & Said, N. S. (2013). Students' colour perception and preference: An empirical analysis of its relationship. Procedia-Social and Behavioral Sciences, 90, 575-582. doi: 10.1016/j.sbspro.2013.07.128 [GS Search]

José, J., Paiva, R., & Bittencourt, I. I. (2015). Avaliação automática de atividades escritas baseada em algoritmo genético e processamento de linguagem natural: Avaliador ortográficogramatical. Anais dos Workshops do Congresso Brasileiro de Informática na Educação, 4, 95. doi: 10.5753/cbie.wcbie.2015.95 [GS Search]

Kato, T., & Kodama, N. (2018). The effect of corporate social responsibility on gender diversity in the workplace: econometric evidence from japan. British Journal of Industrial Relations, 56, 99-127. doi: 10.2139/ssrn.3457640 [GS Search]

Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33, 1-26. doi: 10.1007/117677183 [GS Search]

Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. , 52, 463-479. doi: 10.1016/j.infsof.2009.11.005 [GS Search]

Kizilcec, R. F., Davis, G. M., & Cohen, G. L. (2017). Towards equal opportunities in moocs: affirmation reduces gender social-class achievement gaps in china. Proceedings of the fourth (2017) ACM conference on learning@ scale, 121-130. doi: 10.1145/3051457.3051460 [GS Search]

Kizilcec, R. F., & Lee, H. (2020). Algorithmic fairness in education. arXiv preprint ar-Xiv:2007.05443, 103-115. doi: 10.4324/9781003177098-9 [GS Search]

Kizilcec, R. F., Saltarelli, A., Bonfert-Taylor, P., Goudzwaard, M., Hamonic, E., & Sharrock, R. (2020). Welcome to the course: Early social cues influence women’s persistence in computer science. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-13. doi: 10.1145/3313831.3376752 [GS Search]

Klock, A. C. T., Gasparini, I., Kemczinski, A., Hounsell, M., & Isotani, S. (2015). One man’s trash is another man's treasure: um mapeamento sistemático sobre as caracter' individuais na gamificação de ambientes virtuais de aprendizagem. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), 26, 539. doi: 10.5753/cbie.sbie.2015.539 [GS Search]

Lamont, R. A., Swift, H. J., & Abrams, D. (2015). A review and meta-analysis of age-based stereotype threat: negative stereotypes, not facts, do the damage. Psychology and aging, 30, 180. doi: 10.1037/a0038586 [GS Search]

Langenhove, L. V., & Harré, R. (1994). Cultural stereotypes and positioning theory. Journal for the Theory of Social Behaviour, 24, 359-372. doi: 10.1111/j.1468-5914.1994.tb00260.x [GS Search]

Laureano-Cruces, A. L., Sánchez-Guerrero, L., Velasco-Santos, P., Mora-Torres, M., & Ramíres-Rodríguez, J. (2016). Design of pedagogical agents: the learning styles, the emotions and the color. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 421-431. [GS Search]

Lee, J.-E. R., & Nass, C. (2012). Distinctiveness-based stereotype threat and the moderating role of coaction contexts. Journal of Experimental Social Psychology, 48, 192-199. doi: 10.1016/j.jesp.2011.06.018 [GS Search]

Lippmann, W. (1946). Public opinion (Vol. 1). Transaction Publishers. doi: 10.1037/14847-000 [GS Search]

Liu, S., Liu, P., Wang, M., & Zhang, B. (2021). Effectiveness of stereotype threat interventions: A meta-analytic review. Journal of Applied Psychology, 106, 921. doi: 10.1037/apl0000770 [GS Search]

Lopes, N., & Gomes, A. (2020). O “boom” das plataformas digitais nas práticas de ensino: Uma experiência do e@ d no ensino superior. Revista Practicum, 5, 106-120. doi: 10.24310/revpracticumrep.v5i1.9833 [GS Search]

Manzi, C., Sorgente, A., Reverberi, E., Tagliabue, S., & Gorli, M. (2021). Double jeopardyanalyzing the combined effect of age and gender stereotype threat on older workers. Frontiers in psychology, 11, 3719. doi: 10.3389/fpsyg.2020.606690 [GS Search]

Martin, F. G. (2012). Will massive open online courses change how we teach? Communications of the ACM, 55, 26-28. doi: 10.1145/2240236.2240246 [GS Search]

Merluzzi, J., & Dobrev, S. D. (2015). Unequal on top: Gender profiling and the income gap among high earner male and female professionals. Social Science Research, 53, 45-58. doi: 10.1016/j.ssresearch.2015.04.010 [GS Search]

Mousa, M., Massoud, H. K., & Ayoubi, R. M. (2020). Gender, diversity management perceptions, workplace happiness and organisational citizenship behaviour. Employee Relations: The International Journal, 42, 1249-1269. doi: 10.1108/er-10-2019-0385 [GS Search]

Myers, M. W., Laurent, S. M., & Hodges, S. D. (2014). Perspective taking instructions and self-other overlap: Different motives for helping. Motivation and Emotion, 38, 224-234. doi: 10.1111/pere.12085 [GS Search]

Nadler, J. T., & Clark, M. H. (2011). Stereotype threat: A meta-analysis comparing african americans to hispanic americans 1. Journal of Applied Social Psychology, 41, 872-890. doi: 10.1111/j.1559-1816.2011.00739.x [GS Search]

Nardi, B. A. (1996). Context and consciousness: Activity theory and human-computer interaction (Vol. 7). mit Press. doi: 10.1207/s15327809jls07026 [GS Search]

Pedro, L. Z., Lopes, A. M. Z., Prates, B. G., Vassileva, J., & Isotani, S. (2015). Does gamification work for boys and girls? an exploratory study with a virtual learning environment. Proceedings of the 30th annual ACM symposium on applied computing, 214-219. doi: 10.1145/2695664.2695752 [GS Search]

Pennington, C. R., Heim, D., Levy, A. R., & Larkin, D. T. (2016). Twenty years of stereotype threat research: A review of psychological mediators. PloS one, 11, e0146487. doi: 10.31234/osf.io/j9ae5 [GS Search]

Pereira, M. E. (2002). Psicologia social de estereótipos (Vol. 1). EPU, Ed. Pedagógica e Universitária. doi: 10.12957/psi.saber.soc.2012.4899 [GS Search]

Pereira, R., Hayashi, E. C. S., & Baranauskas, M. C. C. (2013). Afeto como um valor no design de tecnologias educacionais: frameworks e discussões informadas. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), 24, 748. doi: 10.5753/cbie.sbie.2013.748 [GS Search]

Picho, K., Rodriguez, A., & Finnie, L. (2013). Exploring the moderating role of context on the mathematics performance of females under stereotype threat: A meta-analysis. The Journal of social psychology, 153, 299-333. doi: 10.1080/00224545.2012.737380 [GS Search]

Rodrigues, R. L., Ramos, J. L. C., Silva, J. C. S., & Gomes, A. S. (2016). Discovery engagement patterns moocs through cluster analysis. IEEE Latin America Transactions, 14, 4129-4135. doi: 10.1109/tla.2016.7785943 [GS Search]

Santos, J. J., Paiva, R., & Bittencourt, I. I. (2016). Avaliaçao léxico-sintática de atividades escritas em algoritmo genético e processamento de linguagem natural: Um experimento no enem. Revista Brasileira de Informática na Educação, 24, 92. doi: 10.5753/rbie.2016.24.02.92 [GS Search]

Schöbel, S. M., Janson, A., & Söllner, M. (2020). Capturing the complexity of gamification elements: a holistic approach for analysing existing and deriving novel gamification designs. European Journal of Information Systems, 29, 1-28. doi: 10.1080/0960085x.2020.1796531 [GS Search]

Seo, E., & kyung Lee, Y. (2021). Stereotype threat in high school classrooms: how it links to teacher mindset climate, mathematics anxiety, and achievement. Journal of youth and adolescence, 50, 1-14. doi: 10.1007/s10964-021-01435-x [GS Search]

Shapiro, J. R., & Neuberg, S. L. (2007). From stereotype threat to stereotype threats: Implications of a multi-threat framework for causes, moderators, mediators, consequences, and interventions. Personality and Social Psychology Review, 11, 107-130. doi: 10.1177/1088868306294790 [GS Search]

Snyder, M., & Miene, P. K. (1994). Stereotyping of the elderly: A functional approach. British Journal of Social Psychology, 33(1), 63-82. doi: 10.1111/j.2044-8309.1994.tb01011.x [GS Search]

Spieler, B. (2018). Reinforcing gender equality by analysing female teenagers’ performances in coding activities: a lesson learned. Proceedings of the 4th Conference on Gender IT, 209-219. doi: 10.1145/3196839.3196871 [GS Search]

Steele, J. A. C. M. (1995). Stereotype threat and the intellectual test performance of african americans. Journal of Personality and Social Psychology, 69, 797-811. doi: 10.1037/0022-3514.69.5.797 [GS Search]

Stoet, G., & Geary, D. C. (2012). Can stereotype threat explain the gender gap in mathematics performance and achievement? Review of General psychology, 16, 93-102. doi: 10.1037/a0026617 [GS Search]

Suthers, D. D., & Seel, N. (2012). Computer-supported collaborative learning. In (pp. 719–722). Citeseer. [GS Search]

Tine, M., & Gotlieb, R. (2013). Gender-, race-, and income-based stereotype threat: the effects of multiple stigmatized aspects of identity on math performance and working memory function. Social Psychology of Education, 16, 353-376. doi: 10.1007/s11218-013-9224-8 [GS Search]

Tomaskovic-Devey, D., & Warren, P. (2009). Explaining and eliminating racial profiling. Contexts, 8(2), 34-39. doi: 10.1525/ctx.2009.8.2.34 [GS Search]

Valente, J. A. (2014). Blended learning e as mudanças no ensino superior: a proposta da sala de aula invertida. Educar em revista, 79-97. doi: 10.1590/0104-4060.38645 [GS Search]

Vermeulen, L., Castellar, E. N., Janssen, D., Calvi, L., & Looy, J. V. (2016). Playing under threat. examining stereotype threat in female game players. Computers in Human Behavior, 57, 377-387. doi: 10.1016/j.chb.2015.12.042 [GS Search]

Vinayagam, S. S., & Akhila, K. (2020). Competency analysis among faculty of agriculture universities in using educational technology. International Journal of Education and Management Studies, 10, 66-70. doi: 10.15740/has/au/15.4/438-441 [GS Search]

Vlachopoulos, D. (2020). Covid-19: threat or opportunity for online education? Higher Learning Research Communications, 10, 2. doi: 10.3991/ijet.v16i06.20173 [GS Search]

Wanner, T., Wanner, T., & Etzold, V. (2020). Effects on girls’ emotions during gamification tasks with male priming in stem subjects via eye tracking. In Smart education and e-learning 2020 (pp. 67–78). Springer. doi: 10.1007/978-981-15-5584-8_6 [GS Search]

Woodcock, A., Hernandez, P. R., & Schultz, P. W. (2016). Diversifying science: Intervention programs moderate the effect of stereotype threat on motivation and career choice. Social psychological and personality science, 7, 184-192. doi: 10.31648/cetl.2339 [GS Search]

Xu, Z., Banerjee, M., Ramirez, G., Zhu, G., & Wijekumar, K. (2019). The effectiveness of educational technology applications on adult english language learners’ writing quality: A metaanalysis. Computer Assisted Language Learning, 32, 132-162. doi: 10.1111/bjet.12758 [GS Search]

Yücel, Y., & Rzvanoglu, K. (2019). Battling gender stereotypes: A user study of a code-learning game,"code combat," with middle school children. Computers in Human Behavior, 99, 352-365. doi: 10.1016/j.chb.2019.05.029 [GS Search]

Arquivos adicionais

Published

2022-05-09

Como Citar

SANTOS, J.; BENEVIDES, K.; ANDRADE, E.; NASCIMENTO, J.; SILVA, K.; BITTENCOURT, I.; PEREIRA, M.; FERNANDES, S.; BITTENCOURT, C. C. B.; ISOTANI, S. Tecnologias Educacionais Estereotipadas: Um desafio a ser enfrentado. Revista Brasileira de Informática na Educação, [S. l.], v. 30, p. 73–107, 2022. DOI: 10.5753/rbie.2022.2293. Disponível em: https://journals-sol.sbc.org.br/index.php/rbie/article/view/2293. Acesso em: 24 nov. 2024.

Issue

Section

Artigos

Artigos mais lidos pelo mesmo(s) autor(es)

<< < 1 2