scholarly journals Organizational Leadership And Effective Team Problem Solving Strategies In Engineering Design Projects: An Analysis Of Student Perceptions

2020 ◽  
Author(s):  
Tony Jones ◽  
Daisie Boettner ◽  
Joel Dillon ◽  
Stephanie Ivey ◽  
Anna Lambert ◽  
...  
Keyword(s):  
Problem Solving ◽  
Engineering Design ◽  
Student Perceptions ◽  
Organizational Leadership ◽  
Problem Solving Strategies ◽  
Design Projects

Problem-solving Strategies and Expertise in Engineering Design

1997 ◽  
Vol 3 (4) ◽  
pp. 247-270 ◽  
Author(s):  
Linden J. Ball ◽  
Jonathan St.B.T. Evans ◽  
Ian Dennis ◽  
Thomas C. Ormerod
Keyword(s):  
Problem Solving ◽  
Engineering Design ◽  
Problem Solving Strategies

ASSESSING PEER EVALUATION: A COMPARATIVE STUDY OF PEER EVALUATION METHODS USED IN AN ENGINEERING DESIGN COURSE

2011 ◽  
Author(s):  
Peter M. Ostafichuk ◽  
Claire F. Jones
Keyword(s):  
Engineering Design ◽  
Student Perceptions ◽  
Assessment Tool ◽  
Student Perception ◽  
Evaluation Methods ◽  
Peer Evaluation ◽  
Full Time ◽  
Project Assessment ◽  
Evaluation Approach ◽  
Design Projects

Peer evaluation is one way to address group issues in undergraduate teams while at the same time providing feedback and assessment. Two common evaluation methods (point- and rubric-based peer evaluation) are examined and compared in terms of student perception within a University of British Columbia second year mechanical engineering design course. As part of normal course requirements, 118 students in 20 teams completed two full-time multi-week design projects with six regularly-spaced peer evaluations. Student feedback was gathered through two online surveys. Students expressed a slight preference for the rubric style evaluation, citing increased fairness and helpfulness in the feedback. Regardless of evaluation approach, student perceptions of peer evaluation were statistically unrelated to external factors including GPA, gender, and Myers-Briggs personality type. The findings suggest, at least in the student mind, that the use of peer evaluation as a design project assessment tool is fair and unbiased. Additional survey data show students see peer evaluation as a useful tool in undergraduate team design projects and that they feel more comfortable with the prospect of engaging in peer evaluation in the workplace in future as a result.

scholarly journals The Colorado Learning Attitudes about Science Survey (CLASS) for Use in Biology

2011 ◽  
Vol 10 (3) ◽  
pp. 268-278 ◽  
Author(s):  
Katharine Semsar ◽  
Jennifer K. Knight ◽  
Gülnur Birol ◽  
Michelle K. Smith
Keyword(s):  
Problem Solving ◽  
Student Perceptions ◽  
Undergraduate Students ◽  
Introductory Physics ◽  
Student Responses ◽  
Learning Attitudes ◽  
Attitudes About Science ◽  
Problem Solving Strategies ◽  
Biology Courses ◽  
Consensus Expert

This paper describes a newly adapted instrument for measuring novice-to-expert-like perceptions about biology: the Colorado Learning Attitudes about Science Survey for Biology (CLASS-Bio). Consisting of 31 Likert-scale statements, CLASS-Bio probes a range of perceptions that vary between experts and novices, including enjoyment of the discipline, propensity to make connections to the real world, recognition of conceptual connections underlying knowledge, and problem-solving strategies. CLASS-Bio has been tested for response validity with both undergraduate students and experts (biology PhDs), allowing student responses to be directly compared with a consensus expert response. Use of CLASS-Bio to date suggests that introductory biology courses have the same challenges as introductory physics and chemistry courses: namely, students shift toward more novice-like perceptions following instruction. However, students in upper-division biology courses do not show the same novice-like shifts. CLASS-Bio can also be paired with other assessments to: 1) examine how student perceptions impact learning and conceptual understanding of biology, and 2) assess and evaluate how pedagogical techniques help students develop both expertise in problem solving and an expert-like appreciation of the nature of biology.

IDENTIFICATION OF PROBLEM SOLVING STRATEGIES IN MATHEATICS AMONG HIGH SCHOOL STUDENTS

2017 ◽  
Vol 4 (36) ◽  
Author(s):  
J. Navaneetha Krishnan ◽  
P. Paul Devanesan
Keyword(s):  
High School ◽  
High School Students ◽  
Problem Solving ◽  
Sample Survey ◽  
Survey Method ◽  
Teaching Mathematics ◽  
School Students ◽  
Problem Solving Strategies ◽  
Achievement In Mathematics

The major aim of teaching Mathematics is to develop problem solving skill among the students. This article aims to find out the problem solving strategies and to test the students’ ability in using these strategies to solve problems. Using sample survey method, four hundred students were taken for this investigation. Students’ achievement in solving problems was tested for their Identification and Application of Problem Solving Strategies as a major finding, thirty one percent of the students’ achievement in mathematics is contributed by Identification and Application of Problem Solving Strategies.

scholarly journals Using process data to understand problem-solving strategies and processes for drag-and-drop items in a large-scale mathematics assessment

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Yang Jiang ◽  
Tao Gong ◽  
Luis E. Saldivia ◽  
Gabrielle Cayton-Hodges ◽  
Christopher Agard
Keyword(s):  
Problem Solving ◽  
Time Allocation ◽  
Large Scale ◽  
Solution Process ◽  
Process Data ◽  
Mathematics Assessments ◽  
Assessment Design ◽  
Eighth Grade Students ◽  
Problem Solving Strategies ◽  
Drag And Drop

AbstractIn 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to study the cognitive and behavioral processes that underlie test-takers’ performances in ways that are not otherwise possible with the response data alone. In this exploratory study, we investigated the problem-solving processes and strategies applied by the nation’s fourth and eighth graders by analyzing the process data collected during their interactions with two technology-enhanced drag-and-drop items (one item for each grade) included in the first digital operational administration of the NAEP’s mathematics assessments. Results from this research revealed how test-takers who achieved different levels of accuracy on the items engaged in various cognitive and metacognitive processes (e.g., in terms of their time allocation, answer change behaviors, and problem-solving strategies), providing insights into the common mathematical misconceptions that fourth- and eighth-grade students held and the steps where they may have struggled during their solution process. Implications of the findings for educational assessment design and limitations of this research are also discussed.

scholarly journals Teachers’ Use of Technology Affordances to Contextualize and Dynamically Enrich and Extend Mathematical Problem-Solving Strategies

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 793
Author(s):  
Manuel Santos-Trigo ◽  
Fernando Barrera-Mora ◽  
Matías Camacho-Machín
Keyword(s):  
Problem Solving ◽  
High School Teachers ◽  
Digital Technology ◽  
Dynamic Models ◽  
Mathematical Problem ◽  
Mathematical Problem Solving ◽  
School Teachers ◽  
Use Of Technology ◽  
Technology Affordances ◽  
Problem Solving Strategies

This study aims to document the extent to which the use of digital technology enhances and extends high school teachers’ problem-solving strategies when framing their teaching scenarios. The participants systematically relied on online developments such as Wikipedia to contextualize problem statements or to review involved concepts. Likewise, they activated GeoGebra’s affordances to construct and explore dynamic models of tasks. The Apollonius problem is used to illustrate and discuss how the participants contextualized the task and relied on technology affordances to construct and explore problems’ dynamic models. As a result, they exhibited and extended the domain of several problem-solving strategies including the use of simpler cases, dragging orderly objects, measuring objects attributes, and finding loci of some objects that shaped their approached to reasoning and solve problems.

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