TY - JOUR
KW - Bayesian Knowledge Tracing
KW - Bloom’s Taxonomy
KW - Computer-Assisted Instruction
KW - Intelligent Tutoring Systems
KW - Marzano's Taxonomy
AU - Francisco Cervantes-Pérez
AU - Joaquin Navarro-Perales
AU - Ana L. Franzoni-Velázquez
AU - Luis de-la-Fuente Valentín
AB - In this paper we propose a theoretical model of an ITS (Intelligent Tutoring Systems) capable of improving and updating computer-aided navigation based on Bloom’s taxonomy. For this we use the Bayesian Knowledge Tracing algorithm, performing an adaptive control of the navigation among different levels of cognition in online courses. These levels are defined by a taxonomy of educational objectives with a hierarchical order in terms of the control that some processes have over others, called Marzano’s Taxonomy, that takes into account the metacognitive system, responsible for the creation of goals as well as strategies to fulfill them. The main improvements of this proposal are: 1) An adaptive transition between individual assessment questions determined by levels of cognition. 2) A student model based on the initial response of a group of learners which is then adjusted to the ability of each learner. 3) The promotion of metacognitive skills such as goal setting and self-monitoring through the estimation of attempts required to pass the levels. One level of Marzano's taxonomy was left in the hands of the human teacher, clarifying that a differentiation must be made between the tasks in which an ITS can be an important aid and in which it would be more difficult.
IS - Regular Issue
M1 - 6
N2 - In this paper we propose a theoretical model of an ITS (Intelligent Tutoring Systems) capable of improving and updating computer-aided navigation based on Bloom’s taxonomy. For this we use the Bayesian Knowledge Tracing algorithm, performing an adaptive control of the navigation among different levels of cognition in online courses. These levels are defined by a taxonomy of educational objectives with a hierarchical order in terms of the control that some processes have over others, called Marzano’s Taxonomy, that takes into account the metacognitive system, responsible for the creation of goals as well as strategies to fulfill them. The main improvements of this proposal are: 1) An adaptive transition between individual assessment questions determined by levels of cognition. 2) A student model based on the initial response of a group of learners which is then adjusted to the ability of each learner. 3) The promotion of metacognitive skills such as goal setting and self-monitoring through the estimation of attempts required to pass the levels. One level of Marzano's taxonomy was left in the hands of the human teacher, clarifying that a differentiation must be made between the tasks in which an ITS can be an important aid and in which it would be more difficult.
PY - 2021
SP - 234
EP - 239
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Bayesian Knowledge Tracing for Navigation through Marzano’s Taxonomy
UR - https://www.ijimai.org/journal/sites/default/files/2021-05/ijimai_6_6_24.pdf
VL - 6
SN - 1989-1660
ER -