# name
Algorithmic versus teacher-led sequencing in a digital serious game and the development of second language reading fluency and accuracy

# metadata.dc.description.abstract[].value
Recent years have seen a surge of calls for personalization of education. Automatised adaptivity in serious games has been advocated as a potential instantiation of such calls. Yet little is known about the extent to which personalised learning through automatised adaptivity poses an advantage for language learning over generalised teacher-led sequencing in digital, game-based learning environments. The goal of this paper is to address this question by comparing the learning outcomes in reading accuracy and fluency of didactic sequences designed by EFL teachers or by an adaptive algorithm. A total of 67 participants completed several proficiency and reading skills pretest and posttest and used the iRead system for 6 months. Results showed that all learners made progress in reading skills, but no significant differences were found between the two sequences in relation to the development of reading skills. It was also shown that adaptivity works best if it leads to increase in the number of games per feature. Results are discussed in the context of previous findings, and the role of adaptivity and sequencing is critically assessed.

# metadata.dc.relation.ispartof[].value
British Journal of Educational Technology, 2021, vol. 52, num. 5, p. 1898-1916

# metadata.dc.rights[].value
cc by-nc-nd (c) Judit Serra & Roger Gilabert, 2021

# metadata.dc.source[].value
Articles publicats en revistes (Llengües i Literatures Modernes i Estudis Anglesos)

# metadata.dc.title[].value
Algorithmic versus teacher-led sequencing in a digital serious game and the development of second language reading fluency and accuracy