Exploring the mobile structural assessment tool: Concept maps for learning website: Concept Maps for Learning Website

Mehmet Filiz, David Trumpower, Arun Vanapalli

    Research output: Contribution to journalArticle

    3 Citations (Scopus)

    Abstract

    In this paper, we describe how the pathfinder algorithm converts relatedness ratings of concept pairs to concept maps; we also present how this algorithm has been used to develop the Concept Maps for Learning website (www.conceptmapsforlearning.com) based on the principles of effective formative assessment. The pathfinder networks, one of the network representation tools, claim to help more students memorize and recall the relations between concepts than spatial representation tools (such as Multi- Dimensional Scaling). Therefore, the pathfinder networks have been used in various studies on knowledge structures, including identifying students’ misconceptions. To accomplish this, each student’s knowledge map and the expert knowledge map are compared via the pathfinder software, and the differences between these maps are highlighted. After misconceptions are identified, the pathfinder software fails to provide any feedback on these misconceptions. To overcome this weakness, we have been developing a mobile-based concept mapping tool providing visual, textual and remedial feedback (ex. videos, website links and applets) on the concept relations. This information is then placed on the expert concept map, but not on the student’s concept map. Additionally, students are asked to note what they understand from given feedback, and given the opportunity to revise their knowledge maps after receiving various types of feedback.

    Original languageEnglish
    Pages (from-to)297-317
    Number of pages21
    JournalRevista Colombiana de Estadistica
    Volume37
    Issue number2
    DOIs
    Publication statusPublished - 2015

    Fingerprint

    Concept Maps
    Misconceptions
    Software
    Convert
    Learning
    Scaling
    Knowledge
    Concepts

    Keywords

    • Concept maps
    • Effective feedback
    • Pathfinder network
    • Structural assessment

    Cite this

    @article{2970236fd5024688871239fc0dd9f34e,
    title = "Exploring the mobile structural assessment tool: Concept maps for learning website: Concept Maps for Learning Website",
    abstract = "In this paper, we describe how the pathfinder algorithm converts relatedness ratings of concept pairs to concept maps; we also present how this algorithm has been used to develop the Concept Maps for Learning website (www.conceptmapsforlearning.com) based on the principles of effective formative assessment. The pathfinder networks, one of the network representation tools, claim to help more students memorize and recall the relations between concepts than spatial representation tools (such as Multi- Dimensional Scaling). Therefore, the pathfinder networks have been used in various studies on knowledge structures, including identifying students’ misconceptions. To accomplish this, each student’s knowledge map and the expert knowledge map are compared via the pathfinder software, and the differences between these maps are highlighted. After misconceptions are identified, the pathfinder software fails to provide any feedback on these misconceptions. To overcome this weakness, we have been developing a mobile-based concept mapping tool providing visual, textual and remedial feedback (ex. videos, website links and applets) on the concept relations. This information is then placed on the expert concept map, but not on the student’s concept map. Additionally, students are asked to note what they understand from given feedback, and given the opportunity to revise their knowledge maps after receiving various types of feedback.",
    keywords = "Concept maps, Effective feedback, Pathfinder network, Structural assessment",
    author = "Mehmet Filiz and David Trumpower and Arun Vanapalli",
    year = "2015",
    doi = "10.15446/rce.v37n2spe.47939",
    language = "English",
    volume = "37",
    pages = "297--317",
    journal = "Revista Colombiana de Estadistica",
    issn = "0120-1751",
    publisher = "Universidad Nacional de Colombia",
    number = "2",

    }

    Exploring the mobile structural assessment tool: Concept maps for learning website: Concept Maps for Learning Website. / Filiz, Mehmet; Trumpower, David; Vanapalli, Arun.

    In: Revista Colombiana de Estadistica, Vol. 37, No. 2, 2015, p. 297-317.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Exploring the mobile structural assessment tool: Concept maps for learning website: Concept Maps for Learning Website

    AU - Filiz, Mehmet

    AU - Trumpower, David

    AU - Vanapalli, Arun

    PY - 2015

    Y1 - 2015

    N2 - In this paper, we describe how the pathfinder algorithm converts relatedness ratings of concept pairs to concept maps; we also present how this algorithm has been used to develop the Concept Maps for Learning website (www.conceptmapsforlearning.com) based on the principles of effective formative assessment. The pathfinder networks, one of the network representation tools, claim to help more students memorize and recall the relations between concepts than spatial representation tools (such as Multi- Dimensional Scaling). Therefore, the pathfinder networks have been used in various studies on knowledge structures, including identifying students’ misconceptions. To accomplish this, each student’s knowledge map and the expert knowledge map are compared via the pathfinder software, and the differences between these maps are highlighted. After misconceptions are identified, the pathfinder software fails to provide any feedback on these misconceptions. To overcome this weakness, we have been developing a mobile-based concept mapping tool providing visual, textual and remedial feedback (ex. videos, website links and applets) on the concept relations. This information is then placed on the expert concept map, but not on the student’s concept map. Additionally, students are asked to note what they understand from given feedback, and given the opportunity to revise their knowledge maps after receiving various types of feedback.

    AB - In this paper, we describe how the pathfinder algorithm converts relatedness ratings of concept pairs to concept maps; we also present how this algorithm has been used to develop the Concept Maps for Learning website (www.conceptmapsforlearning.com) based on the principles of effective formative assessment. The pathfinder networks, one of the network representation tools, claim to help more students memorize and recall the relations between concepts than spatial representation tools (such as Multi- Dimensional Scaling). Therefore, the pathfinder networks have been used in various studies on knowledge structures, including identifying students’ misconceptions. To accomplish this, each student’s knowledge map and the expert knowledge map are compared via the pathfinder software, and the differences between these maps are highlighted. After misconceptions are identified, the pathfinder software fails to provide any feedback on these misconceptions. To overcome this weakness, we have been developing a mobile-based concept mapping tool providing visual, textual and remedial feedback (ex. videos, website links and applets) on the concept relations. This information is then placed on the expert concept map, but not on the student’s concept map. Additionally, students are asked to note what they understand from given feedback, and given the opportunity to revise their knowledge maps after receiving various types of feedback.

    KW - Concept maps

    KW - Effective feedback

    KW - Pathfinder network

    KW - Structural assessment

    UR - http://www.scopus.com/inward/record.url?scp=84923223063&partnerID=8YFLogxK

    U2 - 10.15446/rce.v37n2spe.47939

    DO - 10.15446/rce.v37n2spe.47939

    M3 - Article

    AN - SCOPUS:84923223063

    VL - 37

    SP - 297

    EP - 317

    JO - Revista Colombiana de Estadistica

    JF - Revista Colombiana de Estadistica

    SN - 0120-1751

    IS - 2

    ER -