Reliability of the ALPHA environmental questionnaire and its association with physical activity in female fibromyalgia patients: the al-Ándalus project

Physical activity attenuates the symptoms of fibromyalgia, and its level is oftentimes associated with the perceived environment of fibromyalgia patients. Within this context, we aimed to study the reliability of the Spanish version of the Assessing Levels of Physical Activity (ALPHA) environmental questionnaire and the mode of commuting questionnaire. We also studied the association between the perceived environment and mode of commuting with physical activity levels among female fibromyalgia patients in Spain. Test–retest reliability was judged by the intra-class correlation coefficient (ICC), weighted kappa statistic, Spearman correlations and the proportion of agreement. We calculated bivariate Pearson’s correlations between environmental sum scores and physical activity measured by both International Physical Activity Questionnaire (IPAQ) and accelerometry. More than 70% of the scales and items showed a good reliability regarding the ICC, the weighted kappa, the Spearman correlation and the percentage of inter-agreement (higher than 50%). The perceived environment assessed with the ALPHA showed a low correlation with both IPAQ and accelerometry. The Spanish version of the ALPHA environmental questionnaire proved to be reliable and showed a weak degree of association with physical activity in female fibromyalgia patients.     

Editorial

This article reports on a narrative inquiry with two teacher-researchers of opposite ethnic, social class, and gender backgrounds about how their oppositions became an asset for their multicultural education. The study calls for educators to consider cultural creativity as a pertinent feature of multicultural education in today's polarized culture.     

The first steps for adapting an artificial intelligence emotion expression recognition software for emotional management in the educational context

To test the suitability of an automatic system for emotional management in the classroom following the control-value theory of achievement emotions (CVT) framework, the performance of an emotional expression recognition software of our creation is evaluated in an online synchronous context. Sixty students from the Faculty of Education at the University of Alicante participated in 16 educational activities recording close-ups of their faces and completing the AEQ emotional self-report, as well as detailed reports from the subsequent review of their videos. In addition, they completed the VCQ-36 test to measure their volitional competencies and relate their influence on their emotional response. The results indicate a high coherence between the emotional expressions detected by the automatic system and the detailed emotional self-reports, but insufficient precision to meet the CVT requirements. On the other hand, both the AEQ test results and the emotion expression recognition software suggest students' preference for participative activities as opposed to passive ones. Meanwhile, statistical analysis results indicate that volitional competencies seem to influence the emotional response of students in the educational context, although the AI system does not show sufficient sensitivity in this field. Implications and limitations of this study for future work are discussed.

Practitioner notes

What is already known about this topic

• Student motivation and involvement in the learning process are highly related to appropriate emotional regulation, which can be associated with particular educational activities, strategies and methodologies.
• Deep learning technology based on convolutional neural networks feeds automatic systems focused on facial expression recognition from image analysis.

What this paper adds

• There is high coherence between the emotional expressions detected by the AI system and the students' emotional self-reports, but the AI system provides just emotional valences, insufficient to meet the CVT framework.
• Both emotional self-reports and the emotion recognition software suggest students' preference for active educational activities as opposed to passive ones.
• Volitional competencies seem to influence the emotional response of students in the educational context.

Implications for practice and/or policy

• It is possible to use automatic systems to effectively monitor the emotional response of students in the learning process.
• Only if sensitivity improved, a real-time, easy-to-interpret emotional expression recognition software interface could be implemented to assist teachers with the emotional management of their classes within the CVT framework, maximizing their motivation and engagement.