Comparing effects of different goal type orders on collaborative simulation‐based inquiry in engineering problem solving: A process modelling approach.
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relat...
| Publicado en: | Journal of Computer Assisted Learning Vol. 40; no. 6; pp. 3030 - 3044 |
|---|---|
| Autores principales: | , , , |
| Formato: | glossary pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180899681&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180899681 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Dec2024 vid: 40 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 180899681 178900564 180899681 180899681 10.1111/jcal.13050 180899681 ppf: 3030 ppct: 14 formats: tig: atl: Comparing effects of different goal type orders on collaborative simulation‐based inquiry in engineering problem solving: A process modelling approach. aug: au: Sun, Yanyan Feng, Chengjun Peng, Di Wu, Bian affil: Department of Education Information Technology, Faculty of Education, East China Normal University, Shanghai, China sug: subj: Computer-Assisted Instruction Computer Simulation Goal-Setting Collaboration Engineering Problem Solving Methods Learning Methods Knowledge Human Funding Source Social Network Analysis Process Assessment (Health Care) Data Mining Students, Undergraduate Models, Theoretical Pretest-Posttest Design Summative Evaluation Research Costs and Cost Analysis Questionnaires Descriptive Statistics Comparative Studies kappa Statistic Mann-Whitney U Test Confidence Intervals ab: Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of different goal type orders on collaborative simulation‐based inquiry in engineering problem solving. Methods: In the study, 24 engineering undergraduate students worked in pairs to solve a wind tunnel problem using a computer simulation application. Process mining and epistemic network analysis were used to model the inquiry process and identify inquiry patterns based on the log data and discussion discourse. Results and Conclusions: The results showed the goal type of first assigned subtask influenced the inquiry strategies of medium‐performance learners most. In addition, the goal type of first assigned subtask had influence on learners' inquiry process. The learners assigned with a problem‐solving goal subtask first (Problem solving goal‐Learning goal condition) had more simulation trials and centered their inquiry discourse around clarification while the learners assigned with a learning goal subtask first (Learning goal‐Problem solving goal condition) connected reflection with other inquiry phases more often. The findings of this study suggested assigning a learning goal subtask first in simulated‐based complex engineering problem solving could be used as an idea‐centered scaffolding, especially for medium‐performance learners. However, low‐performance learners would experience a "situate knowledge paradox" and needs extra guidance. It is important to monitor the knowledge construction process in complex problem solving, even when seeking a solution is the major task. Lay Description: What is currently known about this topic: Simulation‐based environment is effective in supporting inquiry problem solving with proper guidance.Goal type is an important instructional element that affects students' achievements and motivation.Dividing a complex problem‐solving task into subtasks is a way to guide the inquiry. What this paper adds: The goal type of first assigned subtask influenced the inquiry strategies of medium‐performance learners the most in simulated inquiry‐based engineering problem solving.Learners assigned with a problem‐solving goal subtask first had more simulation trials and centered their inquiry discourse around clarificationLearners assigned with a learning goal subtask first connected reflection with other inquiry phases more often in their inquiry process. Implications for practice and/or policy: Assigning a learning goal subtask first in simulated‐based complex engineering problem solving could be used as "idea‐centered" scaffolding, especially for medium‐performance learners.Low‐performance learners low‐performance learners would experience a "situate knowledge paradox" and needs extra guidance in complex problem solving.It is important to monitor the knowledge construction process in complex problem solving, even when seeking a solution is the major task. pubtype: Academic Journal doctype: glossary pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|