Cognitive tasks in the core content areas: Factors that influence students' technology use in high‐school classrooms.
Prior studies have focused on general technology use and technology use in domain‐general applications and quantity of technology use. Recent evidence suggests that investigations should consider how technology is used in more contextually specific ways, including how technology is used for various...
| Publicado en: | Journal of Computer Assisted Learning Vol. 37; no. 4; pp. 1077 - 1091 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2021
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| 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=151329633&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151329633 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2021 vid: 37 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 151329633 149629117 151329633 151329633 10.1111/jcal.12547 151329633 ppf: 1077 ppct: 14 formats: tig: atl: Cognitive tasks in the core content areas: Factors that influence students' technology use in high‐school classrooms. aug: au: Hawk, Nathan A. Vongkulluksn, Vanessa W. Xie, Kui Bowman, Margaret A. affil: Educational Studies, The Ohio State University, Columbus Ohio,, USA sug: subj: Students, High School Information Technology Utilization Learning Environment Cognition Human Funding Source Midwestern United States Surveys Motivation Learning Methods Student Experiences Goal Attainment Bloom's Taxonomy Factor Analysis Chi Square Test Questionnaires Self-Efficacy Data Analysis Software Multivariate Analysis of Variance Regression Descriptive Statistics Pearson's Correlation Coefficient ab: Prior studies have focused on general technology use and technology use in domain‐general applications and quantity of technology use. Recent evidence suggests that investigations should consider how technology is used in more contextually specific ways, including how technology is used for various cognitive tasks in specific classrooms. The purpose of this study was to examine the ways in which classroom content area and student goal orientation have a coordinated influence for how students used technology to support learning. The sample included high school students in a Midwestern state who were surveyed on their motivation and how they used technology to support learning. The study employed hierarchical linear modelling to examine how goal orientation and classroom content area predicted various levels of Bloom's Digital Taxonomy. Students who adopted mastery‐oriented goals were more likely to use technology for various cognitive tasks, especially those at higher levels of complexity. Lastly, the association between mastery goal orientation and some aspects of technology use was conditioned on content area, although effect sizes were small. This study showed that, overall, technology is used differentially across four core content areas. Students in mathematics classrooms used technology less, however much of technology use was evident at lower cognitive levels. Second, students' goal orientation, and in particular their mastery goals influence how technology is used across content areas, and this is marginally conditioned on content area. Technology use should match the instructional context to maximize technology use and students' goal orientation. Lay Description: What is already known about this topic: Computer technology tools support cognitive engagementTechnology tool availability differs by content areaStudent motivation is often positively related to increased technology use What this paper adds: Student technology use for various cognitive tasks differed by content areaStudents with mastery goals were more likely to use technology differentlyMotivational patterns' effect on technology use did not differ by content areaStudents in math used technology qualitatively less than other content areas Implications for practice and/or policy: Greater emphasis should be placed on choosing technology to match content areasTechnology should be appropriately chosen to maximize cognitive learning tasksTo support technology use, teachers should help student mastery learning goals pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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