The Big-fish–little-pond-effect Stands Up to Critical Scrutiny: Implications for Theory, Methodology, and Future Research

The big-fish–little-pond effect (BFLPE) predicts that equally able students have lower academic self-concepts (ASCs) when attending schools where the average ability levels of classmates is high, and higher ASCs when attending schools where the school-average ability is low. BFLPE findings are remarkably robust, generalizing over a wide variety of different individual student and contextual level characteristics, settings, countries, long-term follow-ups, and research designs. Because of the importance of ASC in predicting future achievement, coursework selection, and educational attainment, the results have important implications for the way in which schools are organized (e.g., tracking, ability grouping, academically selective schools, and gifted education programs). In response to Dai and Rinn (Educ. Psychol. Rev., 2008), we summarize the theoretical model underlying the BFLPE, minimal conditions for testing the BFLPE, support for its robust generalizability, its relation to social comparison theory, and recent research extending previous implications, demonstrating that the BFLPE stands up to scrutiny. Quotations (associated page numbers) to the Dai and Rinn (2008) article are based on a prepublication version of the article available to the authors of this article that may have changed during the final preparation for publication. The authors would also like to express thanks to David Dai and Anne Rinn for their encouragement and assistance to us in preparation of our article, whilst still acknowledging that they might not agree will all the views expressed here.     

TransFormers in knowledge production: building science–practice collaborations

This article places action learning in the context of system innovation, as it studies the potential use of action learning for system change. In order to effect such system change, collaboration between actors from different institutional backgrounds is essential. To gain insight into if and how action learning can be applied for system change, we study three system change projects in Dutch agriculture. We focus specifically on the approaches developed by the project leaders for collaboration between the scientists and the entrepreneurs and analyse how the interaction between these two contributed to the learning process within the project. This article concludes with guiding concepts for action learning for system change in the field of sustainable development of agriculture and beyond.     

Action protocol for the use of robotics in students with Autism Spectrum Disoders: A systematic-review

Education and Information Technologies - During the last two decades, the use of Information and Communication Technologies (ICT) has opened new paths in the intervention of people with Autism...     

Students with special educational needs and cooperative learning in the ordinary classroom: some learnings from teaching practice

This article presents the results of a study to determine the strategies used by teachers to include students with special educational needs in regular classrooms, primarily using Cooperative Learning strategies. It aims to identify the factors of inclusive learning in order to enhance the participation and learning of all students in the classroom and in their cooperative teams. A qualitative case study was carried out in the context of the teachers participating in a postgraduate course ‘expert in cooperative learning’ offered by the University of Alcalá (Spain), over a period of six years (2011–2017), involving the participation of 176 professional teachers. All the participants attended an annual university continuous training course on cooperative learning. Document analysis, in-depth interviews and a questionnaire designed ad hoc were used. The conclusions include the importance of cooperative work in facilitating inclusive education, with a variety of different strategies used to respond to all students' needs, and those with special educational needs in particular, and the coordination required between teachers and special educational needs specialists to implement those strategies.     

Anatomy as a Model Environment for Acquiring Professional Competencies in Medicine: Experiences at Harvard Medical School

Anatomy education provides students with opportunities to learn structure and function of the human body, to acquire professional competencies such as teamwork, interpersonal skills, self-awareness, and to reflect on and practice medical ethics. The fulfillment of this wide potential can present challenges in courses that are part of an integrated curriculum and shorter than traditional courses. This new reality, together with students' increasing concern about the stresses within medical education, led to efforts at Harvard Medical School to implement practical steps toward an optimal learning environment in anatomy. These were based on core elements of ethical anatomy education and principles of trauma-informed care. Anatomy is conceptualized here as the “first clinical discipline,” with relational interactions between anatomical educators, medical students, and body donors/patients. Essential prerequisites for the implementation of this work were support by the medical school leadership, open partnership between engaged students and faculty, faculty coordination, and peer-teaching. Specific interventions included pre-course faculty development on course philosophy and invitations to students to share their thoughts on anatomy. Student responses were integrated in course introductions, combined with a pre-dissection laboratory visit, an introductory guide, and a module on the history and ethics of anatomy. During the course, team-building activities were scheduled, and self-reflection encouraged, for example, through written exercises, and elective life-body drawing. Students' responses to the interventions were overall positive, but need further evaluation. This first attempt of a systematic implementation of an optimal learning environment in anatomy led to the identification of areas in need of adjustment.     

Modeling Student Test‐Taking Motivation in the Context of an Adaptive Achievement Test

This study examined the utility of response time‐based analyses in understanding the behavior of unmotivated test takers. For the data from an adaptive achievement test, patterns of observed rapid‐guessing behavior and item response accuracy were compared to the behavior expected under several types of models that have been proposed to represent unmotivated test taking behavior. Test taker behavior was found to be inconsistent with these models, with the exception of the effort‐moderated model. Effort‐moderated scoring was found to both yield scores that were more accurate than those found under traditional scoring, and exhibit improved person fit statistics. In addition, an effort‐guided adaptive test was proposed and shown by a simulation study to alleviate item difficulty mistargeting caused by unmotivated test taking.