The development and construction of an AR‐guided learning model with focused learning theories.
Background: Augmented reality (AR) has been incorporated in context‐aware ubiquitous learning (CAUL) designs to guide learners but few of the designs adopt specific learning theories. Furthermore, there are no CAUL design models that align learning theories to CAUL effectiveness. In addition, CAUL r...
| Publicado en: | Journal of Computer Assisted Learning Vol. 37; no. 5; pp. 1423 - 1441 |
|---|---|
| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Oct2021
|
| 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=152209146&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 152209146 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Oct2021 vid: 37 iid: 5 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 152209146 151572035 152209146 152209146 10.1111/jcal.12583 152209146 ppf: 1423 ppct: 18 formats: tig: atl: The development and construction of an AR‐guided learning model with focused learning theories. aug: au: Hu, Chih‐Hsiang Barrett, Neil E. Liu, Gi‐Zen affil: Department of Foreign Languages & Literature, National Cheng Kung University (NCKU), Tainan City, Taiwan sug: subj: Augmented Reality Methods Learning Methods Learning Theory Human Phenomenological Research Teaching Methods Conceptual Framework Semi-Structured Interview Purposive Sample ab: Background: Augmented reality (AR) has been incorporated in context‐aware ubiquitous learning (CAUL) designs to guide learners but few of the designs adopt specific learning theories. Furthermore, there are no CAUL design models that align learning theories to CAUL effectiveness. In addition, CAUL review papers have not documented CAUL developments since AR technology has become normalized. Objectives: A phenomenological research method with expert design input was adopted to build theoretically informed CAUL design models and provide guidelines for AR‐driven CAUL. Methods: The researchers reviewed 38 empirical AR studies in education from 2016 to 2019 in seven high‐impact journals of educational technology using a taxonomy based on CAUL learning theories. Seven domain experts reviewed the findings and provided insights into current developments, patterns of variables, and the proposed AR‐guided CAUL model. The expert feedback was used to refine the CAUL models. Results and conclusions: Research into humanity‐related subjects are growing due to the features of AR, and the majority of studies were in primary education as AR corresponds well with lower‐level cognitive learning tasks. Many AR functions cooccurred with situated learning theory, inquiry‐based learning theory, and collaborative learning theory. A macro‐design model and three micro‐design models of AR‐guided CAUL with specific learning theories was proposed. Major takeaways This study offers a set of AR‐guided CAUL design models aligned with established learning theories. The variables in the CAUL studies are linked with learning theories to clearly show how AR guides learning. The models can guide instructors to meet their students' needs. Lay Description: What is already known about this topic?: Computer assisted ubiquitous learning (CAUL) can assist learners in developing various skills and knowledge.Augmented reality (AR) has been widely incorporated in context‐aware ubiquitous learning (CAUL) designs to enrich and guide learners.Lower‐level cognitive developments are research‐proven features of AR‐based systems. What this paper adds?: This paper offers a set of AR‐guided learning design modes aligned with learning theories.Humanity‐related subjects like English and history are growing due to the features of AR.Three stages of context‐aware ubiquitous learning were found: tag‐searching, image‐tracking, and panorama‐recognizing. Implications for practice and/or policy: The proposed model provides variables and patterns of the variables with learning theories to guide users.This paper can inform researchers on the potential of learning theories to guide learning designs, help instructional designers revise curricula, and help teachers by highlighting effective learning strategies to guide learners with AR. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|