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211.
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
212.
213.
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
214.
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.