Journal coverage of the Emerging Sources Citation Index

The Emerging Sources Citation Index (ESCI) was created recently, in 2015, but few assessments of its journal coverage have been made. The present study tries to fill that gap by comparing its coverage with that of other international abstracting and indexing (A&I) databases. Using this measure, it is feasible to benchmark this index against the other citation indexes for acceptance criteria. We analysed 6,296 ESCI‐indexed journals, 8,889 Science Citation Index Expanded (SCIE), 3,258 Social Science Citation Index (SSCI), 1,784 Arts and Humanities Citation Index (AHCI), and 22,749 Scopus journals as indexed in July 2017 to determine their inclusion in 105 databases. We found that 19.3% of the ESCI journals are not covered by any other A&I databases, a high figure compared with only 0.5% SCIE, 0.3% SSCI, 0.3% AHCI, and 5.5% Scopus journals. This low coverage suggests that the selection criteria for ESCI journals are not consistent with the overall trend in the other classical citation indexes.     

History of Spanish Mathematics Education Focusing on PhD Theses

This article offers an overview of mathematics education in Spain, analyzing the production of PhD theses over the last 30 years. This period has been divided into four cycles that describe the evolution of Spanish research in the field of mathematics education, together with changes in university and social politics. This paper also includes a forecast of the number of theses that will be produced over the next 7 years, thus predicting the future progress and development of this area of research.     

Striving 2.0: Faculty Collaboration and Advocacy as Strategies for Overcoming Post-Striving Organizational Priorities

Innovative Higher Education - A case study at a large, public research university was conducted to understand how post-striving environments, defined by those universities that achieved very high...     

A model of factors affecting independent learners’ engagement with feedback on language learning tasks

In independent learning contexts, the effectiveness of the feedback dialogue between student and tutor or, in the absence of a tutor, the quality of the learning materials, is essential to successful learning. Using the voices of participants as the prime source of data through a combination of data-driven and concept-driven approaches, this investigation attempts to gain deeper insights into the dynamics of the learning process as students express emotional reactions to the learning environment and in particular the written feedback from their tutors and the learning materials. To account for the different ways in which adult learners studying independently engage both cognitively and emotionally with external feedback, we propose a model based on four key drivers: goal relevance, knowledge, self-confidence, and roles. We conclude that only when these key drivers are aligned with each other can learners in independent settings engage with external feedback and learn from it.     

Developing game-like simulations to formalize tacit procedural knowledge: the ONT experience

The exceptional success achieved by the Spanish National Transplant Organization (ONT) in recent years has made other countries highly interested in following this organization’s methodologies. A good training program is one of the key elements of the ONT. Until 2012, the ONT training program was a paper-based case teaching method, and the small number of ONT experts limited the audience. In an attempt to improve and increase the attendees in this program, a game-like simulation was developed to represent transplant management procedural knowledge. To maximize the educational value, this game-like simulation was based on representative teaching cases to help students practice with different real situations and different levels of complexity in a risk-free environment. This study presents how an iterative game development methodology has been applied to evolve from a paper-based case teaching method to a game-like simulation, with a special focus on the efforts made to include the ONT experts’ tacit procedural knowledge in the simulation. Apart from increasing the number of students who can access the ONT training, this game-like simulation also helped to achieve a more detailed formalization of transplant management as well as a more comprehensive systematization of a set of relevant teaching cases.     

Relative Age Effect,Biological Maturation,and Coaches’ Efficacy Expectations in Young Male Soccer Players

Purpose: The talent identification and selection process in young male soccer players is mainly focused on anthropometrics and physical performance, but social factors are also considered in this process. The purpose of this study was to test the existence of the relative age effect and its possible influence on anthropometrics and physical performance and to analyze coaches’ efficacy expectations. Method: Data for 564 young male soccer players (M_age = 13.7 ± 1.5 years; M_weight = 53.7 ± 11.6 kg; M_height = 160.2 ± 11.6 cm) included their birth quartile, maturity status, anthropometrics, a physical test battery, and coaches’ efficacy expectations. Results: Early-born players were overrepresented (p < .05). Early-born players were not statistically taller, heavier, or better at physical performance (p > .05) when maturation and chronological age were controlled as confounding factors. However, coaches expected more from early-born players (p < .05), and the inferential analysis showed likely to very likely worthwhile differences between the coaches’ expectations for players born in the first quartile of the year and those born in the fourth quartile of the year. Conclusions: Anthropometrical and physical performance variables were not affected by birth quartile, and coaches’ efficacy expectations were related to the relative age effect.     

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.