TY - GEN
T1 - Students’ Generated Text Quality in a Narrative-Centered Learning Environment
T2 - Collaboration Technologies and Social Computing 29th International Conference, CollabTech 2023
AU - Theophilou, Emily
AU - Lobo-Quintero, René
AU - Sánchez-Reina, Roberto
AU - Hernández-Leo, Davinia
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
PY - 2023
Y1 - 2023
N2 - Narrative-centered Learning Environments (NcLE) offer a powerful tool for enhancing students’ learning through interactive experiences. The integration of open-ended questions in NcLEs encourages students to express their thoughts, opinions, and ideas without any restrictions. While different submission formats are implemented in NcLE, little research has argued the importance of assessing their potential effects. This study, therefore, investigates how the text quality in writing varies based on different submission formats for open-ended submissions in a NcLE. We proceed to analyze three types of submission formats within a narrative scripts platform: a) formal individual, b) pre-collaboration, and c) a chatbot interface. For this study, data was collected in a randomized controlled trial that involved 311 secondary school students participating in a social media literacy workshop. The quality of the submissions was assessed using an automated text cohesion and coherence analysis tool (Coh-Metrix). Our results show that having formal submission pages for open-ended questions has an effect in students’ efforts to create submissions with higher writing quality, while submissions via chatbot interfaces tend to be brief and conversational in nature. The results presented in this study have practical implications for learning technology developers and educators, as they can guide decisions related to the creation, and integration of elements to promote writing quality in online learning environments.
AB - Narrative-centered Learning Environments (NcLE) offer a powerful tool for enhancing students’ learning through interactive experiences. The integration of open-ended questions in NcLEs encourages students to express their thoughts, opinions, and ideas without any restrictions. While different submission formats are implemented in NcLE, little research has argued the importance of assessing their potential effects. This study, therefore, investigates how the text quality in writing varies based on different submission formats for open-ended submissions in a NcLE. We proceed to analyze three types of submission formats within a narrative scripts platform: a) formal individual, b) pre-collaboration, and c) a chatbot interface. For this study, data was collected in a randomized controlled trial that involved 311 secondary school students participating in a social media literacy workshop. The quality of the submissions was assessed using an automated text cohesion and coherence analysis tool (Coh-Metrix). Our results show that having formal submission pages for open-ended questions has an effect in students’ efforts to create submissions with higher writing quality, while submissions via chatbot interfaces tend to be brief and conversational in nature. The results presented in this study have practical implications for learning technology developers and educators, as they can guide decisions related to the creation, and integration of elements to promote writing quality in online learning environments.
KW - Chat Interface
KW - Computer Supported Collaborative Learning
KW - Individual learning
KW - Narrative-centered Learning Environment
KW - Text Cohesion and Coherence
KW - Writing Quality
UR - http://www.scopus.com/inward/record.url?scp=85172724089&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-42141-9_7
DO - 10.1007/978-3-031-42141-9_7
M3 - Libros de Investigación
AN - SCOPUS:85172724089
SN - 9783031421402
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 101
EP - 114
BT - Collaboration Technologies and Social Computing - 29th International Conference, CollabTech 2023, Proceedings
A2 - Takada, Hideyuki
A2 - Marutschke, D. Moritz
A2 - Alvarez, Claudio
A2 - Inoue, Tomoo
A2 - Hayashi, Yugo
A2 - Hernandez-Leo, Davinia
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 29 August 2023 through 1 September 2023
ER -