Medical students writing on death, dying and palliative care : a qualitative analysis of reflective essays

Background: Medical students and doctors are becoming better prepared to care for patients with palliative care needs and support patients at the end of life. This preparation needs to start at medical school. Objective: To assess how medical students learn about death, dying and palliative care during a clinical placement using reflective essays and to provide insights to improve medical education about end of life care and/or palliative care. Methods: Qualitative study in which all reflective essays written by third year medical students in one year from a UK medical school were searched electronically for those that included ‘death’, ‘dying’ and ‘palliative care’. The anonymised data were managed using QSR NVivo 10 software, and a systematic analysis was conducted in three distinct phases: (1) open coding; (2) axial coding and (3) selective coding. Ethical approval was received. Results: Fifty-four essays met the inclusion criteria from 241 essays screened for the terms ‘death’, ‘dying’ or ‘palliative’, 22 students gave consent for participation and their 24 essays were included. Saturation of themes was reached. Three overarching themes were identified: emotions, empathy, and experiential and reflective learning. Students emphasised trying to develop a balance between showing empathy and their emotional state. Students learned a lot from clinical encounters and watching doctors manage difficult situations, as well as from their refection during and after the experience. Conclusions: Reflective essays give insights into the way students learn about death, dying and palliative care and how it affects them personally as well as the preparation that is needed to be better equipped to deal with these kinds of experiences. Analysis of the essays enabled the proposal of new strategies to help make them more effective learning tools and to optimise students’ learning from a palliative care attachment

Argumentation Mining in User-Generated Web Discourse

The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We bridge the gap between normative argumentation theories and argumentation phenomena encountered in actual data by adapting an argumentation model tested in an extensive annotation study. (iii) We create a new gold standard corpus (90k tokens in 340 documents) and experiment with several machine learning methods to identify argument components. We offer the data, source codes, and annotation guidelines to the community under free licenses. Our findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task.Comment: Cite as: Habernal, I. & Gurevych, I. (2017). Argumentation Mining in User-Generated Web Discourse. Computational Linguistics 43(1), pp. 125-17

Small-group teaching in geography.

The manual guides staff in geography departments through the purposes, advantages and disadvantages of small-group teaching as an educational device in geography degrees. The manual covers issues of authority, roles, syllabus, learning outcomes and skills. It highlights areas of potential difficulty and how to cope with these. There is a wide range of examples of how small-group teaching can be used with different types of material, students at different stages, and to achieve a variety of learning outcomes and skills

Inquiry-based learning in the arts: a meta-analytical study

This report summarises learning about inquiry-based learning (IBL) in the arts and humanities disciplines at the University of Sheffield during the period in which the Centre for Inquiry-based Learning in the Arts and Social Sciences (CILASS) has been in operation. It draws upon impact evaluation data from curriculum development projects that have been funded by CILASS in departments in the Faculty of Arts and Humanities

Supporting undergraduate students’ acquisition of academic argumentation strategies through computer conferencing

Executive Summary Background This research grows out of work on the importance of argumentation in developingstudents’ critical abilities. It focuses attention on how students argue in computer mediated conferences as opposed to traditionalwritten assignments, investigating the way in which argumentation is realised within the relatively new context of computer conferencing which allows extended written discussions to take place overa period of weeks. Such text-based asynchronous conferencing is typically characterised by features of both spoken and written modes. Aims The main aims of the project were: • to investigate the argumentation strategies used in asynchronous text-based computer conferences; • to compare the argumentation strategies developed through conferencing with those used in the writing of academic assignments; • to examine the strategies used by tutors to encourage and facilitate argumentation in text-based computer conferences. Methods Data was collected over two years for the distance undergraduate course ‘Perspectives on Complementary and Alternative Medicine’ at the Open University.Qualitative data was obtained through interviews with the course chair, tutors and students, and through a student questionnaire. Assignments and computer-mediated tutorials were collected for textual analysis, although the timing of the assignments meant that analysis has only just begun on the essay data. To analyse the argumentation in the computer conferences and assignments a method of categorising, coding and tracking argumentative discourse was developed building on earlier work by the authors. In addition, computational searches were carried out to compare linguistic features across conference and assignment data. Results In tutorial conferences, student discussion tended to take the form of collaborative co-construction of an argument through exchanging information and experience to substantiate a position. However, students were also prepared to challenge other viewpoints. In both cases, they frequently drew on personal and professional experience to support argument claims. The use of these strategies suggests that text-based conferencing lends itself to the collective combining of diverse sources of information, experiences and ideas. Conference discussions were often personalised with fewer explicit logical links marking argument structure. They were also marked by complexity of argument strands, many of which reached no conclusion. Preliminary analysis of argumentation in assignments suggests that this did not, however, adversely affect students’ ability to create a more traditional, linear argument in their essays. Further analysis will be undertaken to compare argumentation strategies across the two sets of data. Tutors expressed concern about levels of participation in the tutorial conferences, which varied quite considerably. They also felt uncertain about their own knowledge of appropriate pedagogic strategies which would encourage students to participate in a collaborative yet critical way, and tended to rely on strategies from face-to-face teaching. Analysis of the conference discussion showed that tutors made fewer claims than students and were also less likely to provide information in support of their claims. There was, therefore, little modelling by tutors of the basic type of argumentation that would be expected in formal written assignments.Despite these concerns, student responses indicated that having a tutor and a group of peers to interact with, or just to observe, was valued as a supportive feature of this form of distance learning. No clear picture arose of how to make conferencing more interactive for more students, and this reinforces the sense gained from the tutor interviews of the difficulty of proposing a model of tutoring in computer conferences that will necessarily engage all students or raise the level of discussion and debate. Conclusions Our study suggests that text-based conferencing has an important role to play in developing students’ argumentation strategies and understanding of academic discourse and conventions. In view of its hybrid nature, somewhere between spontaneous speech and formal academic writing, course designers and tutors should aim to take advantage of both aspects – on the one hand, the informal dialogic exchange of opinions and co-construction of knowledge, and on the other,the opportunity for consolidation, reflection and re-positioning. Our findings reinforce the view that students’ willingness to exchange ideas freely and openly is partly a consequence of how personally engaged, at ease and confident students feel with one another and their tutor. In particular, it seems that there is a role for the interpersonal and, to some extent, the chat and the frivolity, which in some other studies discussed in the literature review have been regarded as negative influences. Recommendations To facilitate students’ development of argumentation and learning more generally,tutors need greater awareness of the ways in which academic argumentation operates in computer conferencing as compared to written assignments. Since pedagogic strategies developed in other contexts may not transfer well to computer conferencing, there is a need for targeted professional development, focussing in particular on: • Choosing topics for discussion and designing effective task prompts; • Supporting weaker students; • Encouraging challenging of ideas; • Finding the right tone to facilitate peer discussions. Some specific suggestions are made within the report, but our recommendations at this stage remain tentative as we still have to complete the analysis of the assignment data and draw conclusions about the impact of the computer conferencing on the quality of written argumentation within this more formal context

Measuring measuring: Toward a theory of proficiency with the Constructing Measures framework

This paper is relevant to measurement educators who are interested in the variability of understanding and use of the four building blocks in the Constructing Measures framework (Wilson, 2005). It proposes a uni-dimensional structure for understanding Wilson’s framework, and explores the evidence for and against this conceptualization. Constructed and fixed choice response items are utilized to collect responses from 72 participants who range in experience and expertise with constructing measures. The data was scored by two raters and was analyzed with the Rasch partial credit model using ConQuest (1998). Guided by the 1999 Testing Standards, analyses of validity and reliability evidence provide support for the construct theory and limited uses of the instrument pending item design modifications

Analyzing collaborative learning processes automatically

In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper tools. Analyzing the variety of pedagogically valuable facets of learners’ interactions is a time consuming and effortful process. Improving automated analyses of such highly valued processes of collaborative learning by adapting and applying recent text classification technologies would make it a less arduous task to obtain insights from corpus data. This endeavor also holds the potential for enabling substantially improved on-line instruction both by providing teachers and facilitators with reports about the groups they are moderating and by triggering context sensitive collaborative learning support on an as-needed basis. In this article, we report on an interdisciplinary research project, which has been investigating the effectiveness of applying text classification technology to a large CSCL corpus that has been analyzed by human coders using a theory-based multidimensional coding scheme. We report promising results and include an in-depth discussion of important issues such as reliability, validity, and efficiency that should be considered when deciding on the appropriateness of adopting a new technology such as TagHelper tools. One major technical contribution of this work is a demonstration that an important piece of the work towards making text classification technology effective for this purpose is designing and building linguistic pattern detectors, otherwise known as features, that can be extracted reliably from texts and that have high predictive power for the categories of discourse actions that the CSCL community is interested in