Effects of heterogeneous complex-task sequencings on extraneous collective cognitive load, intrinsic motivation, and learning transfer in computer-supported collaborative learning
{"title":"Effects of heterogeneous complex-task sequencings on extraneous collective cognitive load, intrinsic motivation, and learning transfer in computer-supported collaborative learning","authors":"Soonri Choi, Hongjoo Ju, Jeein Kim, Jihoon Song","doi":"10.30935/cedtech/14418","DOIUrl":null,"url":null,"abstract":"Computer-supported collaborative learning is an instructional technique to solve complex tasks. One of the key factors to enhance collaboration is increasing the level of interdependence among the collaborators. This study was conducted to examine if the heterogeneous knowledge held by each member promoted by heterogenous instructional sequencings enhances the level of interdependence during collaboration. A quasi-experiment was conducted with college seniors preparing for their careers in a Shinhan University located in Gyeonggi-do, South Korea. The experiment consisted of two phases: one was, where students gained prior knowledge using homogeneous or heterogeneous complex-task sequencing. The other was, where they collaborated with each other using a computer-supported tool. The results showed the statistically significant difference between the two groups in terms of extraneous collective cognitive load, intrinsic motivation, and learning transfer. The collaborative groups of members, which utilized heterogeneous instructional sequencings during the individual learning phase showed relatively lower extraneous collective cognitive load, and higher intrinsic motivation in three consecutive collaborative sessions except for the first. As well as groups of members had higher learning transfer results. Implications and limitations were further discussed on results.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"80 12","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30935/cedtech/14418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Computer-supported collaborative learning is an instructional technique to solve complex tasks. One of the key factors to enhance collaboration is increasing the level of interdependence among the collaborators. This study was conducted to examine if the heterogeneous knowledge held by each member promoted by heterogenous instructional sequencings enhances the level of interdependence during collaboration. A quasi-experiment was conducted with college seniors preparing for their careers in a Shinhan University located in Gyeonggi-do, South Korea. The experiment consisted of two phases: one was, where students gained prior knowledge using homogeneous or heterogeneous complex-task sequencing. The other was, where they collaborated with each other using a computer-supported tool. The results showed the statistically significant difference between the two groups in terms of extraneous collective cognitive load, intrinsic motivation, and learning transfer. The collaborative groups of members, which utilized heterogeneous instructional sequencings during the individual learning phase showed relatively lower extraneous collective cognitive load, and higher intrinsic motivation in three consecutive collaborative sessions except for the first. As well as groups of members had higher learning transfer results. Implications and limitations were further discussed on results.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.