Towards a New Interactive Tool of Resources for Active Learning in University Large Groups’ Lectures

Innovative Approach to Assist Architecture Teachers in Choosing Practical Sessions

“…Since the last decade [19], teachers of this course have tried to improve students' learning process by understanding their background and improving their motivation and learning autonomy. To achieve this, teachers continuously collect information from questionnaires, surveys and informal encounters at the beginning, middle and end of the course, as presented in previous articles [18,37,44]. These assessment results justify the present research project and its characteristics, including its participative approach (Figure 1) and its new indicators (Table A3 in Appendix B).…”

“…Table 1 presents the requirements tree with its indicators, criteria and requirements based on: (1) the aforementioned MIVES for large groups [37], (2) the Lr2 state of the art, and (3) the characteristics of practical sessions, drawn from the authors' experience [10] and the literature review [19]. Requirements tree components were defined to obtain a limited number of discriminative indicators, as required by MIVES [38].…”

“…The Knapsack algorithm generates proposals of sets of activities based on the estimation from previous sessions. This algorithm is used because it provided similar sets in the previous methodology for large lectures [37] and it was successfully combined with MIVES in several former research projects [40]. Knapsack maximizes some values according to each study measure to obtain one or more sets that have values equal or less than the established measures and have the maximum satisfaction for the main defined value.…”