TY - GEN
T1 - Predicting Learner's Achievement Using Step Functions
AU - Arafiyah, Ria
AU - Hasibuan, Zainal A.
AU - Santoso, Harry Budi
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - In general, a learner knows his/her achievement at the end of the semester. When it happened, it is already too late to mend his/her grade for that course. In another case, the speed of learners to comprehend the course varies. In order to optimize the learning activities, a learner needs to be conscious on his/her learning progress as early as possible. This study explores the mechanism to guide the learner to obtain learning objectives progressively. In order to get an optimal learning objective, several factors such as learning style of each learner is detected, adaptive course materials are presented, and class assessment of each session is applied. The hypothetical step function is reviewed to capture learner progress accordingly based on those factors. For future study, this hypothetical step function will be validated and verified to several learners in many different areas of learning materials.
AB - In general, a learner knows his/her achievement at the end of the semester. When it happened, it is already too late to mend his/her grade for that course. In another case, the speed of learners to comprehend the course varies. In order to optimize the learning activities, a learner needs to be conscious on his/her learning progress as early as possible. This study explores the mechanism to guide the learner to obtain learning objectives progressively. In order to get an optimal learning objective, several factors such as learning style of each learner is detected, adaptive course materials are presented, and class assessment of each session is applied. The hypothetical step function is reviewed to capture learner progress accordingly based on those factors. For future study, this hypothetical step function will be validated and verified to several learners in many different areas of learning materials.
KW - e-learning
KW - learning objectives
KW - measure the achievement
UR - http://www.scopus.com/inward/record.url?scp=85053537446&partnerID=8YFLogxK
U2 - 10.1109/CAIS.2018.8442030
DO - 10.1109/CAIS.2018.8442030
M3 - Conference contribution
AN - SCOPUS:85053537446
SN - 9781538644263
T3 - 1st International Conference on Computer Applications and Information Security, ICCAIS 2018
BT - 1st International Conference on Computer Applications and Information Security, ICCAIS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Computer Applications and Information Security, ICCAIS 2018
Y2 - 4 April 2018 through 6 April 2018
ER -