An input-process-output analysis of influence and performance in problem-solving groups.

1995 ◽  
Vol 69 (5) ◽  
pp. 877-889 ◽  
Author(s):  
Glenn E. Littlepage ◽  
Greg W. Schmidt ◽  
Eric W. Whisler ◽  
Alan G. Frost
Keyword(s):  
Problem Solving ◽  
Input Process ◽  
Output Analysis ◽  
Process Output ◽  
And Performance

A Theoretical Model for Analysis of Software Review Performance

2011 ◽  
pp. 115-155
Author(s):  
Yuk Kuen Wong
Keyword(s):  
Theoretical Model ◽  
Software Review ◽  
Input Process ◽  
Process Factor ◽  
Sound Theory ◽  
Process Output ◽  
Research Questions ◽  
Software Reviews ◽  
Process Factors ◽  
And Performance

The aim of this chapter is to develop a theoretical model to assist in the analysis of critical inputs to software reviews and to identify process factors that might impact positively on software review performance. The Explicit, Implicit Input-process-Output (EIIO) model provides a sound theory to drive empirical research in software review and a different perspective to the existing literature that helps to facilitate understanding of the input-process-output relationship in software review process. An overall objective of the EIIO model is to identify what the key inputs are and process factor(s) that significantly influence review outcome(s). Five propositions, ten research questions, and 14 hypotheses are formulated to validate the important relationships between software inputs, processes, and performance.

scholarly journals Penerapan Kemampuan Problem solving pada Siswa SMP Menggunakan Pendekatan Computational Thinking (CT) Berbasis Role Playing Game (RPG)

2020 ◽  
Vol 8 (2) ◽  
pp. 158
Author(s):  
Moch Ridho Alfikri Limandika Putra ◽  
Galang Prihadi Mahardhika ◽  
Hanson Prihantoro Putro
Keyword(s):  
Problem Solving ◽  
Game Design ◽  
Computational Thinking ◽  
Role Playing ◽  
Design Development ◽  
Input Process ◽  
Design Document ◽  
Implementation Evaluation ◽  
Process Output ◽  
Role Playing Game

Problem solving adalah salah satu kemampuan untuk memecahkan sebuah masalah. Baik itu permasalahan komputasi maupun permasalahan sehari-hari. Kemampuan ini dapat memberikan penggunanya untuk menyelesaikan masalah dalam bentuk apapun. Karena pentingnya kemampuan tersebut, maka harus diterapkan sedari dini saat masih dalam usia sekolah. Kemampuan problem solving jika ditanamkan sejak dini, akan sangat membantu siswa-siswi dalam hal menyelesaikan tugas-tugas yang diberikan. Namun tidak semudah yang dibayangkan, masih banyak siswa-siswi yang kurang menaruh perhatian lebih kepada kemampuan problem solving ini. Penyebabnya tidak lain adalah teknik pengajaran yang masih dianggap membosankan, ini menyebabkan rasa malas untuk mempelajari apalagi mendalami tentang problem solving. Salah satu pendekatan yang bisa digunakan untuk melatih kemampuan ini adalah pendekatan Computational Thinking. Pada penelitian ini penulis membuat sebuah game edukasi Computational Thinking berbasis Role Playing Game. Game ini dibuat dengan menggunanakan beberapa rancangan yaitu Game Design Document dan Hierarchy plus Input Process Output. Serta metode yang digunakan adalah metode Analyze, Design, Development, Implementation, Evaluation. Dalam penelitian ini penulis mengujikan langsung kepada para murid dan mendapatkan hasil yang sangat memuaskan. Game yang dibuat dapat membuat para murid menjadi lebih termotivasi untuk belajar mengenai kemampuan problem solving. Ini berdasarkan data yang di dapat melalui pembuatan kuisioner. Metode yang digunakan dalam pembuatan kuisioner adalah skala likert. Game yang dibuat mendapatkan respon yang sangat positif dari para murid dalam berbagai aspek. Sehingga menghasilkan kesimpulan bahwa game Role Playing Game ini telah layak untuk dijadikan sebagai media untuk memotivasi para murid dalam hal mempelajari serta menanamkan kemampuan problem solving yang baik sejak dini.

An Input–Process–Output Model of Pilot Core Competencies

2017 ◽  
Vol 7 (2) ◽  
pp. 78-85 ◽  
Author(s):  
Heikki Mansikka ◽  
Don Harris ◽  
Kai Virtanen
Keyword(s):  
Path Analysis ◽  
Team Performance ◽  
Core Competencies ◽  
Core Competency ◽  
Principal Component ◽  
Analysis Model ◽  
Input Process ◽  
The Core ◽  
Performance Framework ◽  
Process Output

Abstract. The aim of this study was to investigate the relationship between the flight-related core competencies for professional airline pilots and to structuralize them as components in a team performance framework. To achieve this, the core competency scores from a total of 2,560 OPC (Operator Proficiency Check) missions were analyzed. A principal component analysis (PCA) of pilots’ performance scores across the different competencies was conducted. Four principal components were extracted and a path analysis model was constructed on the basis of these factors. The path analysis utilizing the core competencies extracted adopted an input–process–output’ (IPO) model of team performance related directly to the activities on the flight deck. The results of the PCA and the path analysis strongly supported the proposed IPO model.

Relationships between Learning Styles and Performance on Problem-Solving Tasks

1986 ◽  
Vol 59 (3) ◽  
pp. 1135-1138 ◽  
Author(s):  
Penny Armstrong ◽  
Ernest McDaniel
Keyword(s):  
College Students ◽  
Problem Solving ◽  
Learning Styles ◽  
Learning Style ◽  
Choice Point ◽  
Relevant Information ◽  
And Performance ◽  
Problem Solving Task

A computerized problem-solving task was employed to study the relationships among problem-solving behaviors and learning styles. College students made choices to find their way home in a simulated “lost in the woods” task and wrote their. reasons at each choice point. Time to read relevant information and time to make decisions were measured by the computer clock. These variables were correlated with learning style variables from Schmeck's (1977) questionnaire. The findings indicated that subjects who perceived themselves as competent learners take more time on the problem-solving task, use more information and make fewer wrong choices.

Exploring the Effects of Individual Differences in Function Structure Modeling Behaviors

2021 ◽  
Author(s):  
Apurva Patel ◽  
Joshua D. Summers
Keyword(s):  
Individual Differences ◽  
Goal Orientation ◽  
Structure Modeling ◽  
Risk Propensity ◽  
Input Process ◽  
Function Structure ◽  
Modeling Process ◽  
Survey Instruments ◽  
Process Output ◽  
Protocol Study

Abstract This paper presents an exploratory study conducted to understand the role of individual differences between designers in the function modeling process and with respect to final models. An input-process-output framework of function modeling is proposed to systematically approach this theory building and discovery research study. Four measures of individual differences are identified of interest. These include the systemizing quotient, goal orientation, risk propensity, and concept design thinking style. Each metric is composed of multiple items that can be assessed through survey instruments. A previously developed protocol study is used to capture function modeling behaviors and a final function structure model. Data collected from the survey instruments and protocol study is processed to generate input, process, and output measures. A regression-based analysis is used to identify correlations in three groups: input-process, input-output, and process-output. Potential correlations of interest are identified within each group. Implications of these correlations are discussed from a function structure modeling perspective and hypotheses for future research are identified based on the patterns observed in this study. Three testable hypotheses are proposed for future investigation: (1) Goal orientation has no effect on activity distribution in the function modeling process, (2) Thinking style has no effect on the function modeling process, and (3) Risk propensity has no effect on element distribution in the function modeling process. Finally, an anticipated experiment is outlined to investigate one of the potential relationships discovered in this study.

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