Developing real life problem-solving skills through situational design: a pilot study

2019 ◽  
Vol 67 (6) ◽  
pp. 1529-1545
Author(s):  
Lin Zhong ◽  
Xinhao Xu
Keyword(s):  
Pilot Study ◽  
Problem Solving ◽  
Real Life ◽  
Problem Solving Skills ◽  
Real Life Problem

scholarly journals Improving students’ mathematical logical intelligence through the online-based integration of local wisdom of Sulapa Eppa Walasuji

2021 ◽  
Vol 12 (2) ◽  
pp. 283-294
Author(s):  
A. Nurannisa F.A ◽  
Andi Muhammad Irfan Taufan Asfar ◽  
Andi Muhamad Iqbal Akbar Asfar ◽  
Adji Syaifullah
Keyword(s):  
Problem Solving ◽  
Effect Size ◽  
Mathematics Learning ◽  
Mathematical Problem ◽  
Real Life ◽  
Control Group ◽  
Control Group Design ◽  
Problem Solving Skills ◽  
Quasi Experimental ◽  
Design Type

Mathematical logical intelligence is one of the skills that are needed in the 21st century related to mathematical problem-solving skills. The importance of this skill is not in line with the facts on the ground, where students are still weak in counting and using logic in problem solving. The purpose of this research is to improve students’ mathematical logical intelligence through the online-based integration of local wisdom of Sulapa Eppa Walasuji. Sulapa Eppa Walasuji is one of the Bugis-Makassar local wisdoms with a unique pattern, appropriate to be used as a medium for learning transformation of geometry. Through the integration of local wisdom, Sulapa Eppa Walasuji can create contextual mathematics learning, so that students can easily understand the material by connecting real-life concepts. This research includes experimental research with a quasi-experimental design of the nonequivalent control group design type. The research instrument used was a mathematical logical intelligence test consisting of five essay questions. The data analysis used is descriptive statistics with gain score and effect size testing. The results showed that the mathematical logical intelligence of experimental class students increased by 43.16 with the effective contribution of the r effect size being 0.910. This indicates that the online-based integration of Sulapa Eppa Walasuji can improve students’ mathematical logical intelligence. 

VISOLE

2010 ◽  
pp. 185-206 ◽  
Author(s):  
Morris S.Y. Jong ◽  
Junjie Shang ◽  
Fong-Lok Lee ◽  
Jimmy H.M. Lee
Keyword(s):  
Problem Solving ◽  
Real Life ◽  
Computer Game ◽  
Design Strategy ◽  
Game Based Learning ◽  
Pedagogical Approach ◽  
Specific Knowledge ◽  
Problem Solving Skills ◽  
Subject Specific ◽  
Virtual Interactive

VISOLE (Virtual Interactive Student-Oriented Learning Environment) is a constructivist pedagogical approach to empower computer game-based learning. This approach encompasses the creation of a near real-life online interactive world modeled upon a set of multi-disciplinary domains, in which each student plays a role in this “virtual world” and shapes its development. All missions, tasks and problems therein are generative and open-ended with neither prescribed strategies nor solutions. With sophisticated multi-player simulation contexts and teacher facilitation (scaffolding and debriefing), VISOLE provides opportunities for students to acquire both subject-specific knowledge and problem-solving skills through their near real-life gaming experience. This chapter aims to delineate the theoretical foundation and pedagogical implementation of VISOLE. Apart from that, the authors also introduce their game-pedagogy co-design strategy adopted in developing the first VISOLE instance—FARMTASIA.

A Review on the Importance of Machine Learning and Artificial Intelligence in Real Life Problem Solving

2020 ◽  
Vol 17 (9) ◽  
pp. 4336-4339
Author(s):  
D. S. V. Suma Priya ◽  
D. Esther Rani ◽  
A. Pavan Shankar Sai ◽  
A. Konda Babu ◽  
Durgesh Nandan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Problem Solving ◽  
Concept Learning ◽  
Real Life ◽  
Learning System ◽  
Level System ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Real Life Problem

This paper clearly explains the concept, importance and main aim of machine learning and construction of the machine learning system. There are several ideas regarding this machine learning which are formed by a number of strategies. This effort leads to introduce many machine learning methods such as learning by commands, concept, learning by comparison, and learning by some algorithms. This article provides information about the main purpose of machine learning and its development. Machine learning is the primary aspect that promotes any system to have intelligence. One of its main applications is artificial intelligence. Machine learning is highly suited for complex level system representation. There are a number of machine learning concepts that leads to the integration of number of networks.

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