Unfolding Case‐Based Practicum Curriculum Infusing Crisis,Trauma, and Disaster Preparation

The authors evaluated an unfolding case‐based approach to a practicum in counseling course infusing crisis, trauma, and disaster preparation for changes in students’ crisis self‐efficacy across a semester. The course, informed by constructivist‐developmental pedagogy and centered on the unfolding case, resulted in significant increases in students’ crisis self‐efficacy.     

Evaluating a technology supported interactive response system during the laboratory section of a histology course

Monitoring of student learning through systematic formative assessment is important for adjusting pedagogical strategies. However, traditional formative assessments, such as quizzes and written assignments, may not be sufficiently timely for making adjustments to a learning process. Technology supported formative assessment tools assess student knowledge, allow for immediate feedback, facilitate classroom dialogues, and have the potential to modify student learning strategies. As an attempt to integrate technology supported formative assessment in the laboratory section of an upper‐level histology course, the interactive application Learning Catalytics^TM, a cloud‐based assessment system, was used. This study conducted during the 2015 Histology courses at Cornell University concluded that this application is helpful for identifying student misconceptions “on‐the‐go,” engaging otherwise marginalized students, and forming a new communication venue between students and instructors. There was no overall difference between grades from topics that used the application and grades from those that did not, and students reported that it only slightly helped improve their understanding of the topic (3.8 ± 0.99 on a five‐point Likert scale). However, they highly recommended using it (4.2 ± 0.71). The major limitation was regarding the image display and graphical resolution of this application. Even though students embrace the use of technology, 39% reported benefits of having the traditional light microscope available. This cohort of students led instructors to conclude that the newest tools are not always better, but rather can complement traditional instruction methods. Anat Sci Educ 10: 328–338. © 2016 American Association of Anatomists.     

TAKING ACCOUNT OF STUDENTS’ EMPLOYMENT EXPERIENCE IN A COURSE OF INITIAL TEACHER EDUCATION

This study focuses on an industrial, commercial and community experience programme within a full time, one year postgraduate teacher training course. Acknowledging the heterogeneous experiences brought to this course by the students, an attempt was made to detect links between the students’ prior experience and their experience of the industrial, commercial and community programme. The students completed questionnaires before and after a placement and the findings are described. These findings contribute to an evaluation of the programme and suggest a number of important questions for those responsible for designing teacher education courses.     

The effect of adaptivity on the reliability coefficient in adaptive comparative judgement

Comparative Judgement (CJ) is an increasingly widely investigated method in assessment for creating a scale, for example of the quality of essays. One area that has attracted attention in CJ studies is the optimisation of the selection of pairs of objects for judgement. One approach is known as adaptive comparative judgement (ACJ). It has been claimed in the literature that ACJ produces very high reliability, often higher than can be obtained by conventional marking. Bramley showed by simulation that adaptivity can substantially inflate the apparent reliability in ACJ. The empirical study described here compared an adaptive with a non-adaptive CJ study using GCSE English essays. An all-play-all set of comparisons of a subset of the essays allowed the extent of scale inflation to be quantified: the reported adaptive reliability was 0.97 whereas the deflated value was 0.84. The value from the non-adaptive study was 0.72. However, the scale from the non-adaptive study correlated slightly higher with external variables, suggesting the non-adaptive study was no less valid than the adaptive one.     

Assessing collaborative learning: big data,analytics and university futures

Assessment in higher education has focused on the performance of individual students. This focus has been a practical as well as an epistemic one: methods of assessment are constrained by the technology of the day, and in the past they required the completion by individuals under controlled conditions of set-piece academic exercises. Recent advances in learning analytics, drawing upon vast sets of digitally stored student activity data, open new practical and epistemic possibilities for assessment, and carry the potential to transform higher education. It is becoming practicable to assess the individual and collective performance of team members working on complex projects that closely simulate the professional contexts that graduates will encounter. In addition to academic knowledge, this authentic assessment can include a diverse range of personal qualities and dispositions that are key to the computer-supported cooperative working of professionals in the knowledge economy. This paper explores the implications of such opportunities for the purpose and practices of assessment in higher education, as universities adapt their institutional missions to address twenty-first century needs. The paper concludes with a strong recommendation for university leaders to deploy analytics to support and evaluate the collaborative learning of students working in realistic contexts.