Motivation and Performance Differences in Students’ Domain-Specific Epistemological Belief Profiles

2005 ◽  
Vol 42 (4) ◽  
pp. 697-726 ◽  
Author(s):  
Michelle M Buehl ◽  
Patricia A Alexander
Keyword(s):  
Epistemological Belief ◽  
Domain Specific ◽  
Performance Differences ◽  
And Performance

scholarly journals Self-regulated learning as a predictor of mathematics and reading performance: A picture of students in Grades 5 to 8

2019 ◽  
Vol 63 (1) ◽  
pp. 74-97 ◽  
Author(s):  
Susan-Marie Harding ◽  
Narelle English ◽  
Nives Nibali ◽  
Patrick Griffin ◽  
Lorraine Graham ◽  
...  
Keyword(s):  
Reading Comprehension ◽  
Reading Performance ◽  
Learning Skills ◽  
Self Regulated Learning ◽  
Performance Differences ◽  
Age Related ◽  
Regulated Learning ◽  
And Performance ◽  
The Impact ◽  
Learning And Performance

Students who can regulate their own learning are proposed to gain the most out of education, yet research into the impact of self-regulated learning skills on performance shows mixed results. This study supports the link between self-regulated learning and performance, while providing evidence of grade- or age-related differences. Australian students from Grades 5 to 8 completed mathematics or reading comprehension assessments and self-regulated learning questionnaires, with each response ranked on a hierarchy of quality. All assessments were psychometrically analysed and validated. In each cohort and overall, higher performing students reported higher levels of self-regulated learning. Still, age-related differences outweighed performance differences, resulting in significantly lower reported usage of self-regulated learning skills in Grade 7 students compared to those in Grades 5, 6 and 8. These findings suggest that either age or school organisational differences mediate students’ self-regulated learning, counteracting ability-related associations.

An Investigation Into the Driving Factors of Creativity in Design for Additive Manufacturing

2017 ◽  
Author(s):  
Michael Barclift ◽  
Timothy W. Simpson ◽  
Maria Alessandra Nusiner ◽  
Scarlett Miller
Keyword(s):  
Additive Manufacturing ◽  
Self Report ◽  
Risk Attitudes ◽  
Design For Additive Manufacturing ◽  
Domain Specific ◽  
Common Framework ◽  
And Performance ◽  
Student Risk ◽  
Prior Experiences ◽  
Design Freedom

Additive manufacturing (AM) provides engineers with nearly unlimited design freedom, but how much do they take advantage of that freedom? The objective is to understand what factors influence a designer’s creativity and performance in Design for Additive Manufacturing (DFAM). Inspired by the popular Marshmallow Challenge, this exploratory study proposes a framework in which participants apply their DFAM skills in sketching, CAD modeling, 3D-Printing, and a part testing task. Risk attitudes are assessed through the Engineering Domain-Specific Risk-Taking (E-DOSPERT) scale, and prior experiences are captured by a self-report skills survey. Multiple regression analysis found that the average novelty of the participant’s ideas, engineering degree program, and risk seeking preference were statistically significant when predicting the performance of their ideas in AM. This study provides a common framework for AM educators to assess students’ understanding and creativity in DFAM, while also identifying student risk attitudes when conducting an engineering design task.

A Model for Performance-Intelligent Design Advisors

1993 ◽  
Author(s):  
R. Grant Reed ◽  
Robert H. Sturges
Keyword(s):  
Intelligent Design ◽  
Specific Design ◽  
Design Information ◽  
Domain Specific ◽  
Computer Based ◽  
Level Design ◽  
And Performance ◽  
High Level ◽  
Level Performance ◽  
Inputs And Outputs

Abstract We consider a design advisor to be performance-intelligent when its suggestions do not conflict with high level performance-related goals of the design under study. We address the problem of representing non-domain-specific design Information at a high level and describe coupling it to the inputs and outputs of design critics and their suggestion mechanisms. High level design Information represented in a function-based structure with linked allocations is shown to interact with a domain-specific design critic in three instances, viz.: allocation refinement, goal matching with a supported function, and performance-intelligent tradeoffs. Examples of manual and computer-based procedures are discussed.

Narrow and Broad Faculties in System 1 and System 2: Toward Consensus in the Debate on Modularity

2021 ◽  
Vol 21 (3-4) ◽  
pp. 261-279
Author(s):  
Norbert Francis
Keyword(s):  
Future Research ◽  
Domain Specific ◽  
Evolutionary Science ◽  
System 2 ◽  
And Performance ◽  
System 1 ◽  
Use Of Knowledge

Abstract Research on learning, the structure of attained knowledge, and the use of this competence in performance has repeatedly returned to longstanding proposals about how to better understand proficient use of knowledge and how humans acquire it. The following article takes up an exchange between Chiappe & Gardner (2011) and Barrett & Kurzban (2012) on the concept of modularity, one of these proposals. Despite the disagreements expressed, a careful reading of the contributions shows that they also left us with lines of discussion that will eventually sort out the relevant hypotheses and integrate findings for future research. These lines of work will contribute to a clearer understanding of an updated version of the modularity hypothesis that is also compatible with evolutionary science perspectives on learning. How might the categories of domain-specific and domain-general correspond to the distinction between competence and performance and to that of narrow faculty and broad faculty?

A Sub-Chain Ranking and Recommendation Mechanism for Facilitating Geospatial Web Service Composition

2014 ◽  
Vol 11 (3) ◽  
pp. 52-75 ◽  
Author(s):  
ZhangBing Zhou ◽  
Zehui Cheng ◽  
Ke Ning ◽  
Wenwen Li ◽  
Liang-Jie Zhang
Keyword(s):  
Specific Requirement ◽  
Important Research ◽  
Huge Number ◽  
Service Network ◽  
Geospatial Information ◽  
Domain Specific ◽  
Open Geospatial Consortium ◽  
And Performance ◽  
Research Challenge ◽  
Geospatial Web Service

With a huge volume of geospatial information being collected and a huge number of domain-specific functions being developed for processing these geospatial information, an increasing number of Open Geospatial Consortium Web services (OWSs) are built and being available on the Web for the accessibility and processing of these information. Given the specific requirement specified by a certain user, normally, a composition (or chain) of OWSs, rather than a single OWS, can fulfill this requirement. Consequently, retrieving and recommending sub-chains of possible service invocations is an important research challenge. Leveraging the semantic similarity between the name and text description of parameters, a degree that represents the invocation possibility between operations in OWSs is calculated. Thereafter, a service network model is constructed for capturing possible invocations between operations. Given a user's requirement which is represented in terms of a pair of initial and ending operations, possible sub-chains of operations are retrieved, ranked and recommended. Based on which the user can select the most appropriate sub-chain with respect to her specific requirement. The result of evaluation leveraging a real OWSs set indicates that our technique is applicable in real applications from both the functional and performance perspectives.

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