Modelo de Análise de Conteúdo Emocional, Cognitivo e Social
DOI:
https://doi.org/10.22456/1982-1654.110541Keywords:
Aprendizagem Colaborativa Apoiada por Computador. Aprendizagem Autorregulada. Modelo de Análise de Conteúdo. Aspectos Emocionais.Abstract
Entender a motivação dos alunos nos processos de aprendizagem, já é complicado de se alcançar em ambientes presenciais, em ambientes de aprendizagem colaborativa apoiada por computador se torna ainda mais complexo. Os modelos de análise de conteúdo na aprendizagem colaborativa apoiada por computador disponíveis na literatura, em sua maioria, não demonstram preocupação em avaliar aspectos emocionais nos processos de aprendizagem, atentando-se apenas a qualificar a dimensão cognitiva e por vezes a social. Neste trabalho é proposto um modelo de análise de conteúdo para medir a qualidade das comunicações em ambientes virtuais abarcando as dimensões cognitiva, social e emocional. Para a criação das categorias a serem mensuradas, foram consideradas diversas teorias e trabalhos científicos anteriores. Na seção 5 é apresentado exemplo de utilização do modelo proposto em uma dinâmica aplicada em turmas de curso de computação de nível médio e superior. Através da utilização do modelo pode-se medir a qualidade das interações.Downloads
References
BACICH, Lilian; MORAN, José. Metodologias ativas para uma educação inovadora: uma abordagem teórico-prática. Penso Editora, 2018.
BANDURA, Albert. Social foundations of thought and action. Englewood Cliffs, NJ, v. 1986, p. 23-28, 1986.
BARDIN, Laurence. Análise de Conteúdo/Laurence Bardin; Tradução Luís Antero Reto, Augusto Pinheiro. São Paulo: Edições, v. 70, 2011.
BARNES, Douglas. Supporting exploratory talk for learning. Cycles of meaning: Exploring the potential of talk in learning communities, p. 17-34, 1993.
BIASUTTI, Michele. A comparative analysis of forums and wikis as tools for online collaborative learning. Computers & Education, v. 111, p. 158-171, 2017.
BROWN, Ann. Metacognition, executive control, self-regulation, and other more mysterious mechanisms. Metacognition, motivation, and understanding, 1987.
BROWN, John Seely; COLLINS, Allan; DUGUID, Paul. Situated cognition and the culture of learning. Educational researcher, v. 18, n. 1, p. 32-42, 1989.
CHAN, Carol KK. Co-regulation of learning in computer-supported collaborative learning environments: A discussion. Metacognition and learning, v. 7, n. 1, p. 63-73, 2012.
CHEN, Yuxin et al. Coding schemes as lenses on collaborative learning. Information and Learning Sciences, 2019.
DANIELS, Steven E.; WALKER, Gregg B. Collaborative learning: improving public deliberation in ecosystem-based management. Environmental impact assessment review, v. 16, n. 2, p. 71-102, 1996.
DE ALMEIDA, Arthur Machado França; DE ASSIS, Luciana Pereira; ANDRADE, Alessandro Vivas. Uma Revisão das Diferentes Abordagens Computacionais para Detecção de Estilos de Aprendizagem de Estudantes em Sistemas para Educação a Distância. Informática na educação: teoria & prática, v. 23, n. 1 Jan/Abr, 2020.
DURLAK, Joseph A. et al. The impact of enhancing students’ social and emotional learning: A meta‐analysis of school‐based universal interventions. Child development, v. 82, n. 1, p. 405-432, 2011.
FIGUEIRA, A. P. C. Aprendizagem auto-regulada: diferentes leituras teóricas. Psychologica, 1997.
FORD, Martin E. Motivating humans: Goals, emotions, and personal agency beliefs. Sage Publications, 1992.
GARRISON, D. Randy. Critical thinking and self-directed learning in adult education: An analysis of responsibility and control issues. Adult education quarterly, v. 42, n. 3, p. 136-148, 1992.
GIBBONS, Andrew S.; BUNDERSON, Victor C. Explore, explain, design. Encyclopedia of social measurement, 1, p. 927-938, 2005.
GUNAWARDENA, Charlotte N.; LOWE, Constance A.; ANDERSON, Terry. Analysis of a global online debate and the development of an interaction analysis model for examining social construction of knowledge in computer conferencing. Journal of educational computing research, v. 17, n. 4, p. 397-431, 1997.
HADWIN, Allyson; JÄRVELÄ, Sanna; MILLER, Mariel. Self-regulation, co-regulation, and shared regulation in collaborative learning environments. 2018.
HÄMÄLÄINEN, Raija; DE WEVER, Bram. Vocational education approach: New TEL settings—new prospects for teachers’ instructional activities?. International Journal of Computer-Supported Collaborative Learning, v. 8, n. 3, p. 271-291, 2013.
HEIMBUCH, Sven; BODEMER, Daniel. Controversy awareness on evidence-led discussions as guidance for students in wiki-based learning. The Internet and Higher Education, v. 33, p. 1-14, 2017.
HERMAN, Thierry; SERAFIS, Dimitris. Emotions, argumentation and argumentativity: Insights from an analysis of newspapers headlines in the context of the Greek crisis. Informal Logic, v. 39, n. 4, p. 373-400, 2019.
HOGAN, Michael J. Collaborative positive psychology: solidarity, meaning, resilience, wellbeing, and virtue in a time of crisis. International Review of Psychiatry, p. 1-15, 2020.
HUGHES, CONRAD; LAWRENCE, MARQUARD. How can K12 Education reduce prejudice? Tese de Doutorado. Durham University, 2018.
IINUMA, M. et al. Student awareness change in computer supported collaborative learning (CSCL) environment. International Journal of Information and Education Technology, v. 6, n. 6, p. 448, 2016.
IOANNOU, Andri. Online Collaborative Learning: The Promise of Wikis. International journal of instructional media, v. 38, n. 3, 2011.
JANSSEN, Jeroen; ERKENS, Gijsbert; KANSELAAR, Gellof. Visualization of agreement and discussion processes during computer-supported collaborative learning. Computers in Human Behavior, v. 23, n. 3, p. 1105-1125, 2007.
JÄRVENOJA, Hanna; JÄRVELÄ, Sanna; MALMBERG, Jonna. Supporting groups’ emotion and motivation regulation during collaborative learning. Learning and Instruction, p. 101090, 2017.
KRZNARIC, Roman. O poder da empatia: a arte de se colocar no lugar do outro para transformar o mundo. Editora Schwarcz-Companhia das Letras, 2015.
KWON, Kyungbin; LIU, Ying-Hsiu; JOHNSON, Lashaune P. Group regulation and social-emotional interactions observed in computer supported collaborative learning: Comparison between good vs. poor collaborators. Computers & Education, v. 78, p. 185-200, 2014.
LUDVIGSEN, Sten. CSCL: Connecting the social, emotional and cognitive dimensions. International Journal of Computer-Supported Collaborative Learning, v. 11, n. 2, p. 115-121, 2016.
MERCER, Neil. The quality of talk in children's collaborative activity in the classroom. Learning and instruction, v. 6, n. 4, p. 359-377, 1996.
MERCER, Neil; WEGERIF, Rupert. Is ‘exploratory talk’productive talk? Learning with computers: Analyzing productive interaction, p. 79-101, 1999.
NEWMAN, D. Robert; WEBB, Brian; COCHRANE, Clive. A content analysis method to measure critical thinking in face-to-face and computer supported group learning. Interpersonal Computing and Technology, v. 3, n. 2, p. 56-77, 1995.
ROBINSON, Kathy. The interrelationship of emotion and cognition when students undertake collaborative group work online: An interdisciplinary approach. Computers & Education, v. 62, p. 298-307, 2013.
ROSENBERG, Marshall B. Comunicação não-violenta: técnicas para aprimorar relacionamentos pessoais e profissionais. Editora Agora, 2006.
SILVA, Andressa Hennig; FOSSÁ, Maria Ivete Trevisan. Análise de conteúdo: exemplo de aplicação da técnica para análise de dados qualitativos. Qualitas Revista Eletrônica, v. 16, n. 1, 2015.
SILVA, Uyara Ferreira; FERREIRA, Deller James. Emotional Aspects for Productive Dialogues in Computer-Supported Collaborative Learning: A Systematic Literature Review. JUCS-Journal of Universal Computer Science, v. 27, p. 303, 2021.
STEIN, W. On the Problem of Empathy: The Collected Works of Edith Stein. Sister Teresa Bendicta of the Cross Discalced Carmelite Volume Three. Springer Science & Business Media, 2012.
STRAYHORN, Terrell L. College students' sense of belonging: A key to educational success for all students. Routledge, 2018.
ZIMMER, Bob. A way to support collaborative learning. Open and distance learning today, p. 139, 2013.
ZIMMERMAN, Barry J. Self-regulated learning and academic achievement: An overview. Educational psychologist, v. 25, n. 1, p. 3-17, 1990.
ZIMMERMAN, Barry J.; BANDURA, Albert. Impact of self-regulatory influences on writing course attainment. American educational research journal, v. 31, n. 4, p. 845-862, 1994.
ZIMMERMAN, Barry J.; MOYLAN, Adam R. Self-regulation: Where metacognition and motivation intersect. In: Handbook of metacognition in education. Routledge p. 311-328, 2009.
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Published 2021-12-31