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

Jorge Fernández Herrero  Francisco Gómez Donoso  Rosabel Roig Vila 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(6):1939-1963

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.

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Factors Influencing Scientific Achievements of Medical Students in the Anatomy Research Group: An Analysis From the Autonomous University of Nuevo León in Mexico     

Milton Alberto Muñoz-Leija  Francisco J. Barrera  Pablo Patricio Zárate-Garza  Alejandro Quiroga-Garza  Javier Humberto Martínez-Garza  David de la Fuente-Villarreal  Santos Guzmán-López  Rodrigo Enrique Elizondo-Omaña 《Anatomical sciences education》2022,15(2):369-375

Scientific research and student involvement are critical to the formation of physicians, yet the number of medical researchers has decreased over time. To implement corrective strategies, the variables associated with positive research attitudes and productivity among medical students must be identified. The aim of this study was to evaluate the variables associated with students interested or involved in research. A validated questionnaire was applied to the student members of an established anatomy research group in a Mexican medical school with a six-year medical program. Data were collected and analyzed. A total of 85.5% (n = 77/90) students answered the survey with most respondents being second-year medical students. The majority of respondents indicated that the important component of conducting research was a contribution to the new knowledge (45.5%) and to the scientific community (42.9%). More than half of respondents mentioned a professor or a peer as the initial motivation to become involved in research. Lack of time was the main limitation (59.7%) to research involvement. Perceived benefits were knowledge and team work skills. Of those involved, most (85.7%) wished to continue participating in research as a complement to their clinical work. Professors and student colleagues were found to play an important motivational and recruitment role for medical research. These efforts in turn have developed into long-lasting mentor-mentee relationships. Students also anticipated that early involvement in research will positively influence the likelihood of future physicians' contribution and collaboration in research.  相似文献   

Building personalised homework from a learning analytics based formative assessment: Effect on fifth-grade students' understanding of fractions     

José Antonio Rodríguez-Martínez  José Antonio González-Calero  Javier del Olmo-Muñoz  David Arnau  Sergio Tirado-Olivares 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(1):76-97

This study analyses the potential of a learning analytics (LA) based formative assessment to construct personalised teaching sequences in Mathematics for 5th-grade primary school students. A total of 127 students from Spanish public schools participated in the study. The quasi-experimental study was conducted over the course of six sessions, in which both control and experimental groups participated in a teaching sequence based on mathematical problems. In each session, both groups used audience response systems to record their responses to mathematical tasks about fractions. After each session, students from the control group were given generic homework on fractions—the same activities for all the participants—while students from the experimental group were given a personalised set of activities. The provision of personalised homework was based on the students' errors detected from the use of the LA-based formative assessment. After the intervention, the results indicate a higher student level of understanding of the concept of fractions in the experimental group compared to the control group. Related to motivational dimensions, results indicated that instruction using audience response systems has a positive effect compared to regular mathematics classes.

Practitioner notes

What is already known about this topic

• Developing an understanding of fractions is one of the most challenging concepts in elementary mathematics and a solid predictor of future achievements in mathematics.
• Learning analytics (LA) has the potential to provide quality, functional data for assessing and supporting learners' difficulties.
• Audience response systems (ARS) are one of the most practical ways to collect data for LA in classroom environments.
• There is a scarcity of field research implementations on LA mediated by ARS in real contexts of elementary school classrooms.

What this paper adds

• Empirical evidence about how LA-based formative assessments can enable personalised homework to support student understanding of fractions.
• Personalised homework based on an LA-based formative assessment improves the students' comprehension of fractions.
• Using ARS for the teaching of fractions has a positive effect in terms of student motivation.

Implications for practice and/or policy

• Teachers should be given LA/ARS tools that allow them to quickly provide students with personalised mathematical instruction.
• Researchers should continue exploring these potentially beneficial educational implementations in other areas.

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