Intelligent Tutoring Systems for Filipino Learners: Current Research, Gaps, and Opportunities

Intelligent Tutoring Systems for Filipino Learners: Current Research, Gaps, and Opportunities

Rex Perez Bringula
Copyright: © 2020 |Pages: 21
DOI: 10.4018/978-1-5225-7793-5.ch008
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Abstract

Intelligent tutoring systems (ITS) research is not a new field of study. Despite its pedagogical value, very few ITS are developed intended for Filipino learners. The dearth of ITS research in a local setting discounted the fact Filipino learners might need a different learning approach. This chapter presented the state of ITS research in the Philippines. Readers would be informed that there is a need for multidisciplinary studies relating to Filipino learners that could serve basis for the development of culturally-related ITS. It also described Filipino learners in terms of culture, and it will attempt to link these descriptions as design considerations for the development of ITS. Finally, it provided insights and directions on how to develop an ITS for Filipino learners.
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Background

For the last 50 years, intelligent tutoring systems had been a valuable educational resource for teachers, educational institutions, and students (Kulik & Fletcher, 2016). With intelligent tutoring systems (ITS), students’ specific learning needs in large classes are addressed appropriately. With ITS, students are given equal opportunities to learn with accessible educational technology. Students receive individualized feedback (Schroeder, Adesope & Gilbert, 2013) and real-time assessment which does not require the presence of a human teacher (Bringula, Basa, Dela Cruz, & Rodrigo, 2016; Green, 2011; Marion & Oluwafunmilayo, 2011). ITS supports self-regulated learners who can create their own learning space and time (Winne et al., 2006; Duffy & Azevedo, 2015). It provides a non-embarrassing learning environment since the interaction happens only between the ITS and the learners (Bringula et al., 2017). ITS is now incorporated in mobile technologies allowing learning to be more accessible and flexible (Aker, Ksoll, & Lybbert, 2012).

Key Terms in this Chapter

Pedagogical Agent: An artificially simulated human, object, or animal that assist learners in an educational software.

Intelligent Tutoring System: A computerized educational software that is able to provide customized feedback or instructions to learners.

Textual Feedback: A computer-generated feedback that corrects mistakes or informs learners about their prior actions.

Culturally-Aware Intelligent Tutoring System: An intelligent tutoring system that is designed based on the culture of its users.

Collectivist Society: A characteristic of a society where it values the sense of welfare of the group over one's self.

Synthetic Facial Expressions: Facial expressions that are emulated by pedagogical agents.

Intelligent Games: These are types of games that are adaptive to the skills and knowledge of the gamers.

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