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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Affective states in computer-supported collaborative learning: Studying the past to drive the future

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Autor(es):
Duque Reis, Rachel Carlos [1, 2] ; Isotani, Seiji [1] ; Rodriguez, Carla Lopes [1, 3] ; Lyra, Kamila Takayama [1] ; Jaques, Patricia Augustin [4] ; Bittencourt, Ig Ibert [5]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Ave Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP - Brazil
[2] Univ Fed Vicosa, Rodovia MG-230, Km 7, BR-38810000 Rio Paranaiba, MG - Brazil
[3] Fed Univ ABC, Ave Estados 5001, BR-09210580 Santo Andre, SP - Brazil
[4] Univ Vale Rio dos Sinos, Ave Unisinos 950, BR-93022000 Sao Leopoldo, RS - Brazil
[5] Univ Fed Alagoas, Ave Lourival Melo Mota S-N, BR-57072900 Maceio, AL - Brazil
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: COMPUTERS & EDUCATION; v. 120, p. 29-50, MAY 2018.
Citações Web of Science: 6
Resumo

CSCL investigates ways of promoting students' collaboration through technology. Although affective states and socio-emotional factors have an important effect on learning, few studies have classified and analyzed the results obtained by the scientific community to show their real impacts on in CSCL settings. The lack of a comprehensive overview and understanding of previous findings hampers the survey on research gaps, challenges and trends. This work addresses a systematic mapping of the literature for the summarization of results and discussion on research directions for the use of affective states and socio-emotional factors to support the development of intelligent CSCL environments. Six digital libraries were queried and 58 studies were deeply analyzed and categorized. Over 90% of the studies considered emotion and personality traits in the CSCL environment; most studies used personality recognition by questionnaires rather than automatic sources of inference; most technological approaches employed instruments to collect, analyze and/or represent emotions; and most papers that reported empirical experiments focused on ``emotional awareness{''} and ``interaction among students in a CSCL environment{''}. We have identified three main challenges to be addressed by the community in the next decade for an adequate incorporation of affective states in CSCL environments: emotional awareness, orchestration of students' interaction and group formation. (AU)

Processo FAPESP: 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria
Beneficiário:Francisco Louzada Neto
Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs