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211.
Learning from television and books: A dutch replication study based on salomon's model 总被引:3,自引:0,他引:3
According to Salomon's (1981) model, children usually invest less effort in television viewing than in book reading, with the result that information from television is less deeply processed than information from books. The amount of invested mental effort, in its turn, is assumed to depend on the way a medium is perceived. Most children perceive television as an easy medium and books as a difficult one. In this article, Salomon's model and the research in which the model was tested are discussed, and a replication study is presented. The study determines the internal structure of the Dutch versions of Salomon's instruments and tests some predictions following from the model. Unlike their American peers, Dutch children do not unconditionally perceive television as an easy medium. 相似文献
212.
Lorraine Goeuriot Gareth J. F. Jones Liadh Kelly Johannes Leveling Mihai Lupu Joao Palotti Guido Zuccon 《Information Retrieval》2018,21(6):507-540
Since its inception in 2013, one of the key contributions of the CLEF eHealth evaluation campaign has been the organization of an ad-hoc information retrieval (IR) benchmarking task. This IR task evaluates systems intended to support laypeople searching for and understanding health information. Each year the task provides registered participants with standard IR test collections consisting of a document collection and topic set. Participants then return retrieval results obtained by their IR systems for each query, which are assessed using a pooling procedure. In this article we focus on CLEF eHealth 2013 and 2014s retrieval task, which saw topics created based on patients’ information needs associated with their medical discharge summaries. We overview the task and datasets created, and the results obtained by participating teams over these two years. We then provide a detailed comparative analysis of the results, and conduct an evaluation of the datasets in the light of these results. This twofold study of the evaluation campaign teaches us about technical aspects of medical IR, such as the effectiveness of query expansion; the quality and characteristics of CLEF eHealth IR datasets, such as their reliability; and how to run an IR evaluation campaign in the medical domain. 相似文献
213.
Ohne Zusammenfassung 相似文献
214.
Utility of the PASS theory and cognitive assessment system for Dutch children with and without ADHD 总被引:2,自引:0,他引:2
This study examined the utility of the Planning, Attention, Simultaneous, Successive (PASS) theory of intelligence as measured by the Cognitive Assessment System (CAS) for evaluation of children with attention-deficit/hyperactivity disorder (ADHD). The CAS scores of 51 Dutch children without ADHD were compared to the scores of a group of 20 Dutch children with ADHD. The scores of the Dutch children were also compared to American standardization samples of children with and without ADHD. The findings showed that children with ADHD in both countries demonstrated relatively low scores on the Planning and Attention scales of the CAS, but average scores on the Simultaneous and Successive scales. These findings are similar to previously published research suggesting that the PASS theory, as operationalized by the CAS, has sensitivity to the cognitive processing difficulties found in some children with ADHD. 相似文献
215.
Robert LaRose Johannes M. Bauer Kurt DeMaagd Han Ei Chew Wenjuan Ma Yumi Jung 《Government Information Quarterly》2014
In 2009, U.S. Congress approved $7.2 billion to accelerate the deployment of advanced broadband networks and services to unserved and underserved regions of the country. Although primarily a short-term response to the economic crisis, the appropriation also indicates a willingness to seek a new balance between private sector and public sector initiatives in the development of the nation's broadband infrastructure. This paper is a first step in assessing the potential impact of the new government initiatives. It discusses in detail one component of the overall program, the Broadband Technology Opportunities Program (BTOP). The rationales and objectives of BTOP and its initial implementation are explored. Based on information in the BTOP database, 265 awards were examined to document award types, target communities, applications, technology, and access speeds. Whereas it is too early to assess the initiatives' effects on employment and other important social and economic objectives, it is appropriate to consider whether the awards made under the BTOP program advance a national broadband development agenda. Overall, they appear to. However, the present analysis found that projects focusing on minority populations may have received less emphasis in the BTOP awards than that announced in the stated goals of the program. 相似文献
216.
217.
Johannes Ulrich Siebert Maxi Becker Nadine Oeser 《Decision Sciences Journal of Innovative Education》2023,21(1):10-25
At the end of high school, teenagers must deal with the first life-changing decision of determining what to do after graduation. For these decisions, adolescents need to be able to make good choices. However, most schools have not yet implemented decision trainings into their curricula. A new intervention called “KLUGentscheiden!” was developed to train complex decision-making in high school students to close this gap. The intervention targets three key components of good decision-making: envisioning one's objectives, identifying relevant alternatives, and comparing the identified alternatives by a weighted evaluation. We assumed that successfully training those decision-analytical steps should enhance self-perceived proactive decision-making skills. In addition, the training should also enhance self-assessed career choice self-efficacy. The intervention was evaluated in a pseudorandomized control study including 193 high school students. Compared to a control group, the intervention group significantly increased proactive decision-making skills and career choice self-efficacy. Although different long-term evaluations are still pending, the KLUGentscheiden! intervention provides an important tool to train complex decision-making in high-school students. It also has the potential to apply to other career choices of young individuals, such as choosing majors, a final thesis, a job, or a field of work. 相似文献
218.
Judith Stanja Wolfgang Gritz Johannes Krugel Anett Hoppe Sarah Dannemann 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(1):58-75
Formative assessment is considered to be helpful in students' learning support and teaching design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of teachers can be subdivided into three practices: eliciting evidence, interpreting evidence and responding. Since students' conceptions are judged to be important for meaningful learning across disciplines, teachers are required to assess their students' conceptions. The focus of this article lies on the discussion of learning analytics for supporting the assessment of students' conceptions in class. The existing and potential contributions of learning analytics are discussed related to the named formative assessment framework in order to enhance the teachers' options to consider individual students' conceptions. We refer to findings from biology and computer science education on existing assessment tools and identify limitations and potentials with respect to the assessment of students' conceptions.
Practitioner notes
What is already known about this topic- Students' conceptions are considered to be important for learning processes, but interpreting evidence for learning with respect to students' conceptions is challenging for teachers.
- Assessment tools have been developed in different educational domains for teaching practice.
- Techniques from artificial intelligence and machine learning have been applied for automated assessment of specific aspects of learning.
- Findings on existing assessment tools from two educational domains are summarised and limitations with respect to assessment of students' conceptions are identified.
- Relevent data that needs to be analysed for insights into students' conceptions is identified from an educational perspective.
- Potential contributions of learning analytics to support the challenging task to elicit students' conceptions are discussed.
- Learning analytics can enhance the eliciting of students' conceptions.
- Based on the analysis of existing works, further exploration and developments of analysis techniques for unstructured text and multimodal data are desirable to support the eliciting of students' conceptions.