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212.
Mathematical learning difficulties and PASS cognitive processes 总被引:4,自引:0,他引:4
This study examined the relationships between mathematical learning difficulties (MLD) and the planning, attention, simultaneous, successive (PASS) theory of cognitive processing. The Cognitive Assessment System (CAS) was used to measure the PASS processes for a group of 267 Dutch students with MLD who attended either general or special education. The results showed that students with MLD performed lower than their peers on all CAS scales and that the MLD group contained many students with cognitive weaknesses in planning or successive processing. Moreover, students who had specific difficulties with the acquisition of basic math facts, the automatization of such facts, or word-problem solving were found to have distinct PASS cognitive profiles. In order to investigate the relationships between cognitive abilities and improvement in the mastery of basic math facts and problem solving, 165 of the students with MLD were given a special multiplication intervention. It appeared that the effectiveness of this particular intervention did not differ across the groups of students with specific cognitive weaknesses. 相似文献
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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
215.
Dr. Johannes König Univ.-Prof. Sigrid Blömeke 《Zeitschrift für Erziehungswissenschaft》2009,12(3):499-527
Whilst experience of testing subject-specific knowledge of prospective and practicing teachers is generally available, the standardized capture of their cross-subject, pedagogic knowledge remains a new field of inquiry. This contribution will present a way of defining and capturing this knowledge with reference to standards for teacher training and insights from general didactic and teaching theory. We focus on five vocational requirements with which teaching staff see themselves confronted: structuring lessons, motivation, dealing with heterogeneity, leading lessons and assessing performance. Using the Rasch-Model, we carried out an empirical study on the structure of cross-subject knowledge based on 802 student teachers. As expected, the model, which differentiates between the five areas of knowledge, reflects the data better than a model, which assumes pedagogic knowledge to have a homogeneous structure. This provides empirical insights into long-going theoretical discussions on pedagogical knowledge. The results also reflect the context of typical learning opportunities in teacher training. 相似文献
216.
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.