Tutor Versus Peer Group Assessment of Student Performance in a Simulation Training Exercise

The performance of a group of third‐year higher diploma students from the Department of Hotel & Tourism in a simulation training exercise was assessed separately by the tutor and peer group, using an identical checklist. Ninety‐six pairs of tutor and peer group assessment marks were obtained and compared. Results showed that there was some degree of agreement between tutor and peer group markings, although the level of congruence was somewhat less than reported in earlier studies. However, when the tutor and peer group average marks were converted to grades, agreement was found in only 46.9% of the cases and the level of agreement between the two gradings was not statistically significant. Significant differences were also found in the variability of tutor and peer group markings. Furthermore, there were indications that peer group markings tended to be more stringent than tutor markings in the higher mark range, but relatively more lenient in the lower mark range. This trend was particularly obvious when the tutor and peer group marks were converted into grades. Implications of the findings are also discussed.     

Transfer of judgments of control to a target stimulus and to novel stimuli through derived relations

Three experiments examined the effect of response?Coutcome contingencies on human ratings of causal efficacy and demonstrated that such ratings transfer to novel situations through derived stimulus relations. Efficacy ratings generally followed the delta probability rule when positive response-outcome contingencies were employed (Experiment 1) and when some outcomes were not contingent on participants?? responses (Experiment 2). Experiment 3 employed a negative response?Coutcome contingency and manipulated performance expectancies in the task. All three groups overestimated their causal efficacy ratings. A learned helplessness effect was observed when the response?Coutcomes were uncontrollable and in the high-expectancy group when participants?? performance in the task was worse than they had expected. In all experiments, ratings transferred to a stimulus presented during the task and often generalized to novel stimuli through derived relations. These results corroborate the view that outcome probability is a determinant of causal efficacy ratings and that schedules can be employed as UCS in procedures that share characteristics of evaluative conditioning procedures.     

Social moderation,assessment and assuring standards for accounting graduates

Evidencing student achievement of standards is a growing imperative worldwide. Key stakeholders (including current and prospective students, government, regulators and employers) want confidence that threshold learning standards in an accounting degree have been assured. Australia’s new higher education regulatory environment requires that student achievements are benchmarked against intended programme learning outcomes, guided by published disciplinary standards and a national qualifications framework, and against other higher education providers. Here, we report on a process involving academics from 10 universities, aided by professional practitioners, to establish and equip assessors to reliably assure threshold learning standards in accounting that are nationally comparable. Importantly, we are learning more about how standards are interpreted. Based on the premise that meaning is constructed from tacit experiences, social interactions and intentional reflection on explicit information, we report outcomes of three multi-part calibration interventions, situated around judgements of the quality of the written communication skills exhibited in student work and their related assessment tasks. Qualitative data from 30 participants in the calibration process suggest that they perceive that the process both assists them both in developing a shared understanding of the accounting threshold learning standards and in the redesign of assessment tasks to more validly assess the threshold learning standards.     

Pedagogical Transformations of Science Content Knowledge in Korean Elementary Classrooms

While a solid understanding of science content knowledge is important in developing expertise in science teaching, it is not necessarily a sufficient condition to teach science effectively in elementary schools. Teachers need to have the ability to transform their knowledge into forms learnable by students. Based on this perspective, the current study explored how science content knowledge was pedagogically transformed in Korean elementary classrooms. Data sources included video-recorded science lessons of five elementary teachers in a metropolitan city of Korea. The analysis of the data revealed that the Korean teachers often engaged in transforming science content knowledge by means of different semiotic modes, including language, pictures, materials, actions, and their complex combinations. Further, their representations of scientific knowledge were in diverse forms, such as personifications, analogies, quiz questions, pictorial models, diagrams, animations, real-life examples, hand demonstrations, videos, flash tools, and songs-and-dances. Future research involving a wider range of participants, such as students, content specialists, and teachers with weak and strong content understanding, was suggested to confirm the findings of this study and find more various ways of pedagogical transformation of science subject matter knowledge.     

What Teachers of Science Need to Know about Models: An overview

The purpose of this article is to provide an overview of the nature of models and their uses in the science classroom based on a theoretical review of literature. The ideas that science philosophers and science education researchers have in common about models and modelling are scrutinised according to five subtopics: meanings of a model, purposes of modelling, multiplicity of scientific models, change in scientific models and uses of models in the science classroom. First, a model can be defined as a representation of a target and serves as a ‘bridge’ connecting a theory and a phenomenon. Second, a model plays the roles of describing, explaining and predicting natural phenomena and communicating scientific ideas to others. Third, multiple models can be developed in science because scientists may have different ideas about what a target looks like and how it works and because there are a variety of semiotic resources available for constructing models. Fourth, scientific models are tested both empirically and conceptually and change along with the process of developing scientific knowledge. Fifth, in the science classroom, not only teachers but also students can take advantage of models as they are engaged in diverse modelling activities. The overview presented in this article can be used to educate science teachers and encourage them to utilise scientific models appropriately in their classrooms.     

澳门特区免费幼儿教育政策研究

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