Interaction patterns in exploratory learning environments for mathematics: a sequential analysis of feedback and external representations in Chinese schools

Feedback in exploratory learning systems has been depicted as an important contributor to encourage exploration. However, few studies have explored learners’ interaction patterns associated with feedback and the use of external representations in exploratory learning environments. This study used Fractions Lab, an exploratory learning environment for mathematics, to facilitate children’s conceptual understanding of fractions in three Chinese schools. Students (n = 189) from six different classes were invited to use Fractions Lab, and 260,000 event logs were collected. Beyond demonstrating the overall efficacy of the approach, lag sequential analysis supported us in approaching a deeper understanding of patterns of interaction. The findings highlight that the design of three-levels of feedback (Socratic, guidance, and didactic-procedural feedback) played different roles in supporting students to use external representations to perform mathematical tasks in an exploratory learning environment. This study sheds light on how these interaction patterns might be applied to the Fractions Lab system in order to provide increasingly tailored support, based on cultural differences, to enhance students’ technology-mediated learning experiences

Factors that Influence the Acceptance and Use of Formative Feedback in an Online Undergraduate Module

The focus of the study was to determine the factors that influence the acceptance and use of online feedback in an undergraduate module using the modified unified theory of acceptance and use of technology (UTAUT2). The participants were third-year pre-service teachers in the Bachelor of Education degree who were taking a fully online Teaching Studies module, in addition to their specialist subject areas at one of the universities in South Africa. A survey instrument was developed from the original UTAUT2 instrument and modified where appropriate, to fit the formative feedback context. Exploratory factor analysis was used to validate the instrument. The validated instrument yielded respectable reliability and construct validity. Confirmatory factor analysis verified the measurement model. The findings suggest that hedonic motivation, perceived relevance, habit, and social influence significantly affect the behavioral intention to use and accept online formative feedback, accounting for 63.6% of the variance explained, hence, signifying their importance