Applying collaborative cognitive load theory to computer-supported collaborative learning: towards a research agenda

Educational technology research and development - Research on computer-supported collaborative learning (CSCL) has traditionally investigated how student-, group-, task-, and technological...     

The style it takes: how do UK universities communicate their identity through welcome addresses?

In times when universities are becoming less self-evident, these organisations may be confounded in terms of which aspects of their activities and performances they should communicate with their stakeholders. A related question – central to our study – is how they communicate. This paper analyses the style of one particular type of communication: welcome addresses of key spokespersons of UK universities. Building on the pertinent image and identity literature and using Speech Act Theory, we expected to find differences between universities by prestige and age and over time. We found that older universities use different styles compared to younger universities, and that there were also differences by prestige. We also found considerable changes over time. The findings suggest we should not see these welcome addresses as purely ceremonial, but as intentional messages with communication styles that reflect the organisational attributes of the university.     

Instructional control of cognitive load in the training of complex cognitive tasks

Limited processing capacity constrains learning and performance in complex cognitive tasks. In traditional instruction, novices' failure to adequately learn cognitive tasks can often be attributed to the inappropriate direction of attention and the related high or excessive load that is imposed on a learner's cognitive system. An instructional design model for the training of complex cognitive tasks should provide instructional strategies that control cognitive load. We propose such a model and recommend research in which the cognitive load of instructional manipulations is systematically investigated and determined with mental-effort based measures.     

Towards a personalized task selection model with shared instructional control

Modern education emphasizes the need to flexibly personalize learning tasks to individual learners. This article discusses a personalized task-selection model with shared instructional control based on two current tendencies for the dynamic sequencing of learning tasks: (1) personalization by an instructional agent which makes sequencing decisions on the basis of learner’s expertise, and (2) personalization by the learner who is given control over – final – task selection. The model combines both trends in a model with shared instructional control. From all available learning tasks, an instructional agent selects a subset of tasks based on the learner’s performance scores and invested mental effort (i.e., system-control). Subsequently, this subset is presented to the learner who makes the final decision (i.e., learner control). A computer-assisted instructional program has been developed to put the model into practice and preliminary results are discussed. The model can be used to increase the efficiency and effectiveness of instruction and to make it more appealing by providing the learner an optimal level of control over task selection. This research project is funded by the Netherlands Organization for Scientific Research (NWO, The Hague, project No. 411-02-107-V).     

Sport for All? Insight into stratification and compensation mechanisms of sporting activity in the 27 European Union member states

Physical activity is an important public health issue and the benefits of an active lifestyle in relation to well-being and health have been strongly emphasised in recent years in Europe, as well as in most parts of the world. However, previous research has shown that physical activity within Europe and its member states is stratified. The present article gains insight into: (1) the geographical stratification; and (2) the social stratification of physical activity in the 27 European Union member states in 2005. Special attention is given to sporting activity in comparison to other forms of physical activity (transport, occupation and household). By doing this we intend to develop a picture of physical activity, in particular sporting activity, within the European Union. In addition, we want to verify whether low sporting activity levels are counterbalanced by other pieces of the total ‘menu of physical activities’. Based on Eurobarometer data from 2005 (N=26,688), bivariate analyses show that 4 out of 10 Europeans are not exposed to sporting activity. Moreover, particular subgroups of non-sportive citizens could be distinguished: South and East Europeans, and women, the elderly, individuals with a lower educational level and rural citizens. Our hypothesis that these groups would compensate for their non-sporting activity by being physically active in other domains could only be confirmed for women and rural citizens, in particular with regard to household physical activity. To understand the underlying structure of these possible compensation mechanisms, additional quantitative and qualitative research is needed. Nevertheless, because of societal trends towards an inactive society, the role of sporting activity will be increasingly important in the future for all inactive subgroups. For this purpose, not only should necessary resources and key stakeholders be identified, but also more importantly the social and environmental barriers for sporting activity need to be addressed.     

论学习的研究范式与视界

影响人的学习的最重要因素是什么?不同的教学理论对此给出了大相径庭的答案,这是因为它们各自对学习本身持有不同的视界,有的看重预期的学习结果,有的聚焦影响学习过程的各种方法,还有一些则抓住了学习发生的条件.有八种对教育传播与技术领域的理论发展一直产生影响,并且仍在产生强烈影响的最流行研究范式,它们分别是完形心理学、行为主义和新行为主义、发展心理学、文化—历史学派、信息加工理论、认知符号理论、认知资源理论和社会建构主义.一般来说,研究总是在某个特定的范式框架内进行的,但是研究者应该认识到,范式本身会对研究方法和结果产生很深的影响.更重要的是,研究者应该对各种不同的理论与范式持开放的心态,因为新的发现总是出现在不同范式之间的交叠磨合处.     

Assessment criteria for competency-based education: a study in nursing education

This study examined the effects of type of assessment criteria (performance-based vs. competency-based), the relevance of assessment criteria (relevant criteria vs. all criteria), and their interaction on secondary vocational education students’ performance and assessment skills. Students on three programmes in the domain of nursing and care (N = 93) participated in the study. Results show that students who were given the relevant criteria made more accurate assessments of an expert model, performed better on a test and achieved higher instructional efficiency (defined as the relationship between performance and mental effort) compared to students who were given all criteria. Students who were given performance-based assessment criteria made more accurate assessments of an expert model and scored higher on task performance during practice compared to students who were given competency-based assessment criteria. They invested less mental effort in the assessments, resulting in higher instructional efficiency. An interaction effect for the concreteness of answers shows that the combination of performance-based and relevant criteria leads to superior analysis of worked examples compared to the other combinations of criteria.     

Training for reflective expertise: A four-component instructional design model for complex cognitive skills

This article presents a four-component instructional design model for the training of complex cognitive skills. In the analysis phase, the skill is decomposed into a set of recurrent skills that remain consistent over problem situations and a set of nonrecurrent skills that require variable performance over situations. In the design phase, two components relate to the design of practice; they pertain to the conditions under which practice leads either to rule automation during the performance of recurrent skills or to schema acquisition during the performance of nonrecurrent skills. The other two components relate to the design of information presentation; they pertain to the presentation of information that supports the performance of either recurrent or nonrecurrent skills. The basic prediction of the model is that its application leads to “reflective expertise” and increased performance on transfer tasks. Applications of the model that support this prediction are briefly discussed for the training of fault management in process industry, computer programming, and statistical analysis.     

Development and validation of a Supportive Learning Environment for Expertise Development Questionnaire (SLEED-Q)

Development of professional expertise is the process of continually transforming the repertoire of knowledge, skills and attitudes necessary to solve domain-specific problems which begins in late secondary education and continues during higher education and throughout professional life. One educational goal is to train students to think more like experts and approach the mastery of a subject as an expert would. Helping students to develop professional expertise and evaluating whether classrooms are conducive to the development of expertise is difficult and time-consuming. At present, there is no instrument that measures all the core classroom factors that influence specifically the development of professional expertise. This paper describes the development and validation of an instrument that measures the extent to which educators create a Supportive Learning Environment for Expertise Development, the SLEED-Q. A sample of 586 secondary school students (14–18 years-old) was used for validation. Both exploratory and confirmatory factor analyses were carried out. Examination of the fit indices indicated that the model seemed to fit the data well, with the goodness-of-fit coefficients being in recommended ranges. The SLEED-Q, consisting of seven factors with 30 items, the SLEED-Q has potential as an instrument for examining how conducive learning environments are to development of professional expertise in secondary school settings. The implications of the results and potential paths for future research are considered.     

The Need for E-Learning Strategies: Higher Education Institutions and Their Responses to a Changing Environment

Tertiary Education and Management - Integrating e-Learning in their educational delivery and support processes is one way of strategy formation higher education institutions can deploy to respond...