TY - GEN
T1 - How complex is the complexity of a concept in exploratory search
AU - Kelle Pereira, Crystiam
AU - Medeiros, Jerry Fernandes
AU - Siqueira, Sean W.M.
AU - Nunes, Bernardo Pereira
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Exploratory search is a specialized form of information retrieval and discovery. The main aim of the exploratory search is to investigate given information domain to acquire knowledge about it-that is, to learn something about that domain. The level of difficulty of information can affect the learning process and its success. Information with low complexity and relative ease may be uninteresting to learners, who might find it tedious and unrewarding. On the other hand, information with high complexity and difficulty can demoralize learners who perceive it as being impossible, triggering feelings of anxiety. Whether too complex or not complex enough, the seek for information can result in little or no learning. This paper aims to (i) identify features that indicate the complexity of the information represented by a concept; (ii) analyze the features in order to provide a coherent sequence of concepts that balances complexity and learners interest; and, (iii) discuss the challenges, difficulties, and validity of sequencing concepts based on features that indicate complexity. The results show that diversity and variety of concepts as well as detailed semantic descriptions and relations act as indicators for the ideal order of presentation of the information.
AB - Exploratory search is a specialized form of information retrieval and discovery. The main aim of the exploratory search is to investigate given information domain to acquire knowledge about it-that is, to learn something about that domain. The level of difficulty of information can affect the learning process and its success. Information with low complexity and relative ease may be uninteresting to learners, who might find it tedious and unrewarding. On the other hand, information with high complexity and difficulty can demoralize learners who perceive it as being impossible, triggering feelings of anxiety. Whether too complex or not complex enough, the seek for information can result in little or no learning. This paper aims to (i) identify features that indicate the complexity of the information represented by a concept; (ii) analyze the features in order to provide a coherent sequence of concepts that balances complexity and learners interest; and, (iii) discuss the challenges, difficulties, and validity of sequencing concepts based on features that indicate complexity. The results show that diversity and variety of concepts as well as detailed semantic descriptions and relations act as indicators for the ideal order of presentation of the information.
KW - Concepts sequencing
KW - Exploratory search
KW - Learning complexity
UR - http://www.scopus.com/inward/record.url?scp=85072928508&partnerID=8YFLogxK
U2 - 10.1109/ICALT.2019.00008
DO - 10.1109/ICALT.2019.00008
M3 - Conference contribution
T3 - Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019
SP - 17
EP - 21
BT - Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019
A2 - Chang, Maiga
A2 - Sampson, Demetrios G
A2 - Huang, Ronghuai
A2 - Gomes, Alex Sandro
A2 - Chen, Nian-Shing
A2 - Bittencourt, Ig Ibert
A2 - Kinshuk, Kinshuk
A2 - Dermeval, Diego
A2 - Bittencourt, Ibsen Mateus
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019
Y2 - 15 July 2019 through 18 July 2019
ER -