TY - GEN
T1 - Using art and technology to support geometry learning for all
T2 - 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2018
AU - Hadjileontiadou, Sofia J.
AU - Iakovakis, Dimitrios
AU - Dias, Sofia B.
AU - Klothou, Anna
AU - Charisis, Vasileios
AU - Diniz, José A.
AU - Sakonidis, Charalampos
AU - Basiloudi, Vasiliki
AU - Hadjidimitriou, Stelios
AU - Hadjileontiadis, Leontios J.
N1 - Publisher Copyright:
© 2018 ACM.
PY - 2018/6/20
Y1 - 2018/6/20
N2 - Geometrical thinking is a life-long skill, yet, despite its importance, geometry teaching and learning is fraught with difficulties. Traditional pen and pencil approaches have failed to address them. In this vein, a conceptual instructional design (ID), namely GeoArt-ID, is proposed as a radically novel, holistic approach to develop geometrical thinking using art as a source for inspiring activity content for learning geometry. The dynamic design of GeoArt-ID is based upon a framework where the synergy of multiple knowledge, i.e., Technological, Didactical, Content (TDCK) knowledge is involved. GeoArt-ID is set within an affective (a-), blended (b-) and collaborative (c-) learning environment, introducing unique quantitative metrics to express the evolution of the learner's geometrical thinking. Oese metrics could be derived from the analysis of a collection of a large amount of sensorial biosignals (big data) captured via unobtrusive smart sensors during sensorimotor learning activities. Data-to-knowledge representation, considering the domains of emotion, cognitive, body gesture and geometric tasks, could be achieved via advanced signal processing and machine/deep learning. Consequently, GeoArt-ID can exhibit high adaptability, scaffolding mentally disabled students to perform geometrical thinking and reasoning for all.
AB - Geometrical thinking is a life-long skill, yet, despite its importance, geometry teaching and learning is fraught with difficulties. Traditional pen and pencil approaches have failed to address them. In this vein, a conceptual instructional design (ID), namely GeoArt-ID, is proposed as a radically novel, holistic approach to develop geometrical thinking using art as a source for inspiring activity content for learning geometry. The dynamic design of GeoArt-ID is based upon a framework where the synergy of multiple knowledge, i.e., Technological, Didactical, Content (TDCK) knowledge is involved. GeoArt-ID is set within an affective (a-), blended (b-) and collaborative (c-) learning environment, introducing unique quantitative metrics to express the evolution of the learner's geometrical thinking. Oese metrics could be derived from the analysis of a collection of a large amount of sensorial biosignals (big data) captured via unobtrusive smart sensors during sensorimotor learning activities. Data-to-knowledge representation, considering the domains of emotion, cognitive, body gesture and geometric tasks, could be achieved via advanced signal processing and machine/deep learning. Consequently, GeoArt-ID can exhibit high adaptability, scaffolding mentally disabled students to perform geometrical thinking and reasoning for all.
UR - http://www.scopus.com/inward/record.url?scp=85061361713&partnerID=8YFLogxK
U2 - 10.1145/3218585.3218688
DO - 10.1145/3218585.3218688
M3 - Conference contribution
AN - SCOPUS:85061361713
T3 - ACM International Conference Proceeding Series
SP - 179
EP - 186
BT - DSAI 2018 - Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion
Y2 - 20 June 2018 through 22 June 2018
ER -