The strive for clinical effectiveness in medication dosage calculation problem-solving skills: the role of constructivist learning theory in the design of a computer-based ‘authentic world’ learning environment

2001 ◽  
Vol 5 (1) ◽  
pp. 18-25 ◽  
Author(s):  
K.W. Weeks ◽  
P. Lyne ◽  
L. Mosely ◽  
C. Torrance
Keyword(s):  
Problem Solving ◽  
Learning Environment ◽  
Learning Theory ◽  
Clinical Effectiveness ◽  
Constructivist Learning Theory ◽  
Problem Solving Skills ◽  
Dosage Calculation ◽  
Medication Dosage ◽  
Computer Based

The Rhetorical Case: Its Roman Precedent and the Current Debate

1989 ◽  
Vol 19 (3) ◽  
pp. 203-226 ◽  
Author(s):  
Michael Mendelson
Keyword(s):  
Problem Solving ◽  
Technical Writing ◽  
Current Debate ◽  
Case Study Method ◽  
Full Spectrum ◽  
Problem Solving Skills ◽  
Early Case ◽  
New Phase

Because of the recent emphasis on rhetorical context in business and technical writing (BTW) instruction, the problem-solving case has become a staple in BTW classrooms. However, a number of critics have voiced concerns about the use of the rhetorical case. These concerns recall an ancient debate among Roman rhetoricians over an early case-study method called declamation. For contemporary theorists, the debate over case study revolves around its value as a stimulant to problem-solving skills, its ability to imitate the realistic circumstances of professional BTW, and its emphasis on persona and audience along with its deemphasis of the teacher. A full spectrum of arguments on these and other issues in the case-study debate indicates that the discipline is entering a new phase in its deliberations over the role of problem-solving and pragmatics in the BTW classroom.

Effective Problem-Solving

2017 ◽  
pp. 103-112
Author(s):  
David J. Kolko ◽  
Eric M. Vernberg
Keyword(s):  
Problem Solving ◽  
Problem Situation ◽  
Problem Solving Skills ◽  
Step Process ◽  
Problem Solve ◽  
Effective Problem

This chapter introduces problem-solving skills to children. The content includes an overview of identifying problems, determining options, and making decisions based on goals. Emphasis is placed on reviewing materials from the previous chapter regarding the role of thoughts and interpretations. These skills are generalized to various areas of the child’s life before being applied to fire-related situations. A multi-step process is introduced to help the child learn to, first identify problems and goals, then problem-solve and consider consequences. These skills are then practiced by applying them to a recent problem situation that the child experienced. Worksheets provided in the appendix are used to facilitate the implementation of these activities.

Estimating student ability and problem difficulty using item response theory (IRT) and TrueSkill

2019 ◽  
Vol 47 (2) ◽  
pp. 67-75 ◽  
Author(s):  
Youngjin Lee
Keyword(s):  
Data Mining ◽  
Item Response Theory ◽  
Problem Solving ◽  
Learning Environment ◽  
Item Response ◽  
Predictive Power ◽  
Response Theory ◽  
Content Type ◽  
Computer Based Learning ◽  
Computer Based

Purpose The purpose of this paper is to investigate an efficient means of estimating the ability of students solving problems in the computer-based learning environment. Design/methodology/approach Item response theory (IRT) and TrueSkill were applied to simulated and real problem solving data to estimate the ability of students solving homework problems in the massive open online course (MOOC). Based on the estimated ability, data mining models predicting whether students can correctly solve homework and quiz problems in the MOOC were developed. The predictive power of IRT- and TrueSkill-based data mining models was compared in terms of Area Under the receiver operating characteristic Curve. Findings The correlation between students’ ability estimated from IRT and TrueSkill was strong. In addition, IRT- and TrueSkill-based data mining models showed a comparable predictive power when the data included a large number of students. While IRT failed to estimate students’ ability and could not predict their problem solving performance when the data included a small number of students, TrueSkill did not experience such problems. Originality/value Estimating students’ ability is critical to determine the most appropriate time for providing instructional scaffolding in the computer-based learning environment. The findings of this study suggest that TrueSkill can be an efficient means for estimating the ability of students solving problems in the computer-based learning environment regardless of the number of students.

scholarly journals Computer-Based Concept Mapping as a Method for Enhancing the Effectiveness of Concept Learning in Technology-Enhanced Learning

2019 ◽  
Vol 11 (4) ◽  
pp. 1005 ◽  
Author(s):  
Gülsüm Aşıksoy
Keyword(s):  
Problem Solving ◽  
Concept Mapping ◽  
Concept Learning ◽  
Meaningful Learning ◽  
Control Group ◽  
Technology Enhanced Learning ◽  
Problem Solving Skills ◽  
Computer Based ◽  
Enhanced Learning ◽  
Experimental Group

Technology enhanced learning is a wide area that covers all uses of digital technology to support learning and teaching activities. The computer-based concept mapping has shown potential in enhancing meaningful learning in education. Concept mapping is an important tool that is used in the field of education to help students in understanding the basic concepts and the relationships between them. This research proposes a computer-based concept mapping (CBCM) environment combined with Google classroom to help students reduce their misconceptions and to improve their problem solving skills. Furthermore, it examines the effect of CBCM on the sustainability of concept learning according to student views. The participants were first-year engineering students. The study was conducted in a physics class, and a true-experimental design was used. The experimental group students learned with the Google classroom combined with computer-based concept mapping (CBCM), while the concept group students learned with Google classroom and the traditional method. Data were collected from a physics concept test, problem solving inventory, and semi-structured interviews. The research results indicated that teaching in the CBCM environment combined with Google Classroom provides meaningful learning by correcting the misconceptions of the students. Moreover, there was a significant increase in the problem solving skills of the experimental group as compared to the control group. According to the students’ views, it was determined that CBCM enhances the sustainability of concept learning. The results of this study can help educators and researchers to integrate computer-based concept mapping (CBCM) techniques into Google Classroom.

scholarly journals Problem-solving skills and perceived stress among undergraduate students: The moderating role of hardiness

2016 ◽  
Vol 23 (10) ◽  
pp. 1321-1331 ◽  
Author(s):  
Abbas Abdollahi ◽  
Mansor Abu Talib ◽  
Per Carlbring ◽  
Richard Harvey ◽  
Siti Nor Yaacob ◽  
...  
Keyword(s):  
Problem Solving ◽  
Undergraduate Students ◽  
Perceived Stress ◽  
Influencing Factor ◽  
Personal Control ◽  
Problem Solving Skills ◽  
Approach Avoidance ◽  
The Relationship ◽  
Moderating Role

This study was designed to examine the relationships between problem-solving skills, hardiness, and perceived stress and to test the moderating role of hardiness in the relationship between problem-solving skills and perceived stress among 500 undergraduates from Malaysian public universities. The analyses showed that undergraduates with poor problem-solving confidence, external personal control of emotion, and approach–avoidance style were more likely to report perceived stress. Hardiness moderated the relationships between problem-solving skills and perceived stress. These findings reinforce the importance of moderating role of hardiness as an influencing factor that explains how problem-solving skills affect perceived stress among undergraduates.

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