TY - GEN
T1 - Matching teaching scenarios with teaching methods in automated instructional design for ICT courses
AU - Fan, Wenqiang
AU - Yi, Shanshan
AU - Lei, Qing
AU - Feng, Kang
PY - 2010
Y1 - 2010
N2 - The basic principle of automated instructional design (AID) is to generate instruction plans based on given teaching conditions and objectives. It is of importance to design AID systems with guidance of specific principles of teaching and learning for specific courses. This paper proposes one conceptual model of AID for ICT courses, with a "Teaching scenario-Teaching method" framework. The basic ideal of this model is to link teaching methods with their matching teaching scenarios, and then generate templates of instruction plans for teachers. Teaching-Scenario Agent (TSA) computes which teaching scenario is most similar to the teaching practice, according to the inputs like learning contents, characteristics of learners, as well as learning objectives expected. Teaching-Method Agent (TMA) produces the template of instruction plan based on the teaching method matching with the teaching scenario identified by TSA. Five teaching methods (i.e., instruction-based, behaviour demonstration, behaviour imitation, personal inquiry and collaborative inquiry) of ICT courses and their typical procedures, as well as the features of their matching teaching scenarios have been discussed in this paper, with a purpose to give guidance to the matching process.
AB - The basic principle of automated instructional design (AID) is to generate instruction plans based on given teaching conditions and objectives. It is of importance to design AID systems with guidance of specific principles of teaching and learning for specific courses. This paper proposes one conceptual model of AID for ICT courses, with a "Teaching scenario-Teaching method" framework. The basic ideal of this model is to link teaching methods with their matching teaching scenarios, and then generate templates of instruction plans for teachers. Teaching-Scenario Agent (TSA) computes which teaching scenario is most similar to the teaching practice, according to the inputs like learning contents, characteristics of learners, as well as learning objectives expected. Teaching-Method Agent (TMA) produces the template of instruction plan based on the teaching method matching with the teaching scenario identified by TSA. Five teaching methods (i.e., instruction-based, behaviour demonstration, behaviour imitation, personal inquiry and collaborative inquiry) of ICT courses and their typical procedures, as well as the features of their matching teaching scenarios have been discussed in this paper, with a purpose to give guidance to the matching process.
KW - ICT course
KW - Instructional design
KW - Matching rule
KW - Teaching method
KW - Teaching scenario
UR - https://www.scopus.com/pages/publications/78650541483
U2 - 10.1109/ICAIE.2010.5641456
DO - 10.1109/ICAIE.2010.5641456
M3 - 会议稿件
AN - SCOPUS:78650541483
SN - 9781424469338
T3 - Proceedings - 2010 International Conference on Artificial Intelligence and Education, ICAIE 2010
SP - 586
EP - 589
BT - Proceedings - 2010 International Conference on Artificial Intelligence and Education, ICAIE 2010
T2 - 2010 3rd International Conference on Artificial Intelligence and Education, ICAIE 2010
Y2 - 29 October 2010 through 30 October 2010
ER -