CONDITIONS AFFECTING LEARNING ON THE COLLECTIVE LEARNING PLATFORM - A STUDY WITH SECONDARY SCHOOL STUDENTS

Technological development is creating new learning environments that take place in the digital space.An example of this is Collective Learning, a digital platform based on a model of collective intelligence that generates a problem-solving context by allowing participants to develop their activity through different phases of interaction within it (Bautista and Valero-Tapia, 2024).Developed by the University Institute of Biocomputing and Physics of Complex Systems (BIFI) of the University of Zaragoza (Spain) in collaboration with Kampal Data Solutions, Collective Learning is designed so that large groups can generate collaborative solutions to the tasks or problems posed in it, also incorporating a consensus mechanism based on the analysis of participants' activity in real time.This collaborative environment can therefore be a learning environment with some conditions that increase the motivation of the participants, such as having learning partners outside the classroom, being able to learn in an environment where many of their daily interactions take place, having activities that have a certain challenging component, or being able to improve critical thinking.However, it is necessary to identify the conditions of these new environments that influence participants' motivation and learning.Therefore, we present data from 234 secondary school students (mean age 14.17 years -SD 1.58) who participated in different work sessions within the Collective Learning platform and who answered a 26-question questionnaire collecting aspects related to satisfaction with the activity and learning, as well as with the conditions that the platform contains to facilitate learning and the behaviours they generated during their interaction.The data were analysed by means of path analysis, in which learning on the platform is mediated by satisfaction with the activity.The results show that the variables included explain 49% of satisfaction and 45% of learning.The facilitating conditions of the platform are the most relevant variable in the model (=.66 for satisfaction and =.22 for learning), but equally important are students' behaviour towards the task, orientation towards change as an important factor in learning (=.20).Finally, satisfaction has a direct effect on learning (=.38).We conclude by pointing out that an environment such as Collective Learning makes it possible to generate learning experiences and to identify the elements that contribute to learning.