TY - CHAP
T1 - Knowing Me
T2 - Web Application for Mood Screening in Childhood and Adolescence
AU - Alvites-Huamaní, Cleofé Genoveva
AU - Stanziola, Melba
AU - Rojas-Montero, John Alexander
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - In public education institutions it is common to observe students with various problems that affect their academic performance, including those related to emotional aspects; a situation that led to propose a project that would allow, from the Information and Communication Technologies (ICT), to propose alternatives for its approach. Thus, the need arises to generate diagnoses around emotional issues, as a starting point for the projection of training processes aimed at improving the findings. Among the potential problems, depression was selected because of its high impact on various age groups, including children and adolescents. The Kovacs Childhood Depression Inventory was taken as a reference that allows the exploration of dysphoric mood and negative self-esteem; a reference that guided the development of “Knowing me”, an application with an interactive audiovisual approach aimed at a population belonging to the flexible educational model ‘Learning Acceleration’ in Bogotá, Colombia, characterized by being in a vulnerable condition. “Knowing me” found that there is a risk of depression at the global moderate level at 43%. In relation to dysphoric mood, it showed 14% at the severe level. In negative self-esteem, it detected a moderate level in 77%. These results require additional tests to contrast the results of the software, since it serves only as a screening for depression, and since depression is multifactorial, the specialist can perform additional personalized evaluations of the students who scored with some level of depression.
AB - In public education institutions it is common to observe students with various problems that affect their academic performance, including those related to emotional aspects; a situation that led to propose a project that would allow, from the Information and Communication Technologies (ICT), to propose alternatives for its approach. Thus, the need arises to generate diagnoses around emotional issues, as a starting point for the projection of training processes aimed at improving the findings. Among the potential problems, depression was selected because of its high impact on various age groups, including children and adolescents. The Kovacs Childhood Depression Inventory was taken as a reference that allows the exploration of dysphoric mood and negative self-esteem; a reference that guided the development of “Knowing me”, an application with an interactive audiovisual approach aimed at a population belonging to the flexible educational model ‘Learning Acceleration’ in Bogotá, Colombia, characterized by being in a vulnerable condition. “Knowing me” found that there is a risk of depression at the global moderate level at 43%. In relation to dysphoric mood, it showed 14% at the severe level. In negative self-esteem, it detected a moderate level in 77%. These results require additional tests to contrast the results of the software, since it serves only as a screening for depression, and since depression is multifactorial, the specialist can perform additional personalized evaluations of the students who scored with some level of depression.
KW - depression
KW - education
KW - mood
KW - self-esteem
KW - technology
KW - web application
UR - https://www.scopus.com/pages/publications/85201952076
U2 - 10.1007/978-981-97-1814-6_35
DO - 10.1007/978-981-97-1814-6_35
M3 - Chapter
AN - SCOPUS:85201952076
T3 - Lecture Notes in Educational Technology
SP - 356
EP - 365
BT - Lecture Notes in Educational Technology
PB - Springer Science and Business Media Deutschland GmbH
ER -