Creative Writing and Social Action: A Data Analysis based on Learning Analytics about how Social, Cultural and Linguistic Barriers can be overcome through Educational Innovation and International Cooperation

被引:0
作者
Chniter, Malak [1 ,2 ]
Kallel, Ilhem [1 ,3 ]
Blanco Garcia, Amaya [4 ]
Sanchez Medina, Javier [4 ]
机构
[1] Univ Sfax, ReGIM Lab, Res Grp Intelligent Machines, Sfax, Tunisia
[2] FSEGS Fac Sci Econ & Gest Sfax, Sfax, Tunisia
[3] ISIMS Inst Super Informat & Multimedia Sfax, Sfax, Tunisia
[4] Univ Las Palmas Gran Canaria, Ctr Innovac Soc Informac, EInnova CICEI Grp Innovac Educ, Las Palmas Gran Canaria, Spain
来源
2024 21ST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY BASED HIGHER EDUCATION AND TRAINING, ITHET | 2024年
关键词
Creative Writing; Social action; Data analysis; Intelligent grouping; Moodle;
D O I
10.1109/ITHET61869.2024.10837631
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Recently, analysing the students' creative writing has become increasingly an interesting subject in the literature to improve the students' performance, awareness and thinking, especially after the emergence of AI tools. The majority of the researchers have focused only on dealing with these new tools to not limit the students' creativity, critical thinking and socialisation. Exceptionally, this paper presents the results of the international educational innovative project: "EcoApreNdemos 2023: narrating learning for the betterment of the environment" that combines social action and creative writing to promote the students' critical thinking and awareness. It introduces a holistic analysis to understand how creativity learning through social engagement takes place, with the help of data analytics and the aim of being able to improve it. It analyses the students' creative writing before and after social actions to help instructors find the best pedagogical design to enhance their students' writing capabilities. Additionally, it defines an application of students' grouping according to their creative writing features using an intelligent algorithm.
引用
收藏
页数:10
相关论文
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