Participation and performance on paper- and computer-based low-stakes assessments View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Jayson M. Nissen, Manher Jariwala, Eleanor W. Close, Ben Van Dusen

ABSTRACT

Background: High-stakes assessments, such the Graduate Records Examination, have transitioned from paper to computer administration. Low-stakes research-based assessments (RBAs), such as the Force Concept Inventory, have only recently begun this transition to computer administration with online services. These online services can simplify administering, scoring, and interpreting assessments, thereby reducing barriers to instructors' use of RBAs. By supporting instructors' objective assessment of the efficacy of their courses, these services can stimulate instructors to transform their courses to improve student outcomes. We investigate the extent to which RBAs administered outside of class with the online Learning About STEM Student Outcomes (LASSO) platform provide equivalent data to tests administered on paper in class, in terms of both student participation and performance. We use an experimental design to investigate the differences between these two assessment conditions with 1310 students in 25 sections of 3 college physics courses spanning 2 semesters. Results: Analysis conducted using hierarchical linear models indicates that student performance on low-stakes RBAs is equivalent for online (out-of-class) and paper-and-pencil (in-class) administrations. The models also show differences in participation rates across assessment conditions and student grades, but that instructors can achieve participation rates with online assessments equivalent to paper assessments by offering students credit for participating and by providing multiple reminders to complete the assessment. Conclusions: We conclude that online out-of-class administration of RBAs can save class and instructor time while providing participation rates and performance results equivalent to in-class paper-and-pencil tests. More... »

PAGES

21

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40594-018-0117-4

DOI

http://dx.doi.org/10.1186/s40594-018-0117-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103846572

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30631711


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1303", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Specialist Studies In Education", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/13", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Education", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "California State University, Chico", 
          "id": "https://www.grid.ac/institutes/grid.253555.1", 
          "name": [
            "Department of Science Education, California State University - Chico, 101 Holt Hall, 95929, Chico, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nissen", 
        "givenName": "Jayson M.", 
        "id": "sg:person.016361727650.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016361727650.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University", 
          "id": "https://www.grid.ac/institutes/grid.189504.1", 
          "name": [
            "Department of Physics, Boston University, 02215, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jariwala", 
        "givenName": "Manher", 
        "id": "sg:person.010116445763.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010116445763.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Texas State University\u2013San Marcos", 
          "id": "https://www.grid.ac/institutes/grid.264772.2", 
          "name": [
            "Department of Physics, Texas State University, 78666, San Marcos, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Close", 
        "givenName": "Eleanor W.", 
        "id": "sg:person.014156360070.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014156360070.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "California State University, Chico", 
          "id": "https://www.grid.ac/institutes/grid.253555.1", 
          "name": [
            "Department of Science Education, California State University - Chico, 101 Holt Hall, 95929, Chico, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dusen", 
        "givenName": "Ben Van", 
        "id": "sg:person.011251617450.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011251617450.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1103/physrevphyseducres.12.010115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001460408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevphyseducres.12.010115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001460408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jrp.2005.01.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002643119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.4.010106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008797723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.4.010106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008797723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3200/joeb.84.1.13-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012935616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compedu.2016.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016195609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.5866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017348673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.5866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017348673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02602930802687752", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017859228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0013164407305592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017864112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0013164407305592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017864112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.2.010101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022282437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.2.010101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022282437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/08886504.1996.10782166", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023138188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.9.020121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028292982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.9.020121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028292982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02602930701293231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029478697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.6.020112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031828128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.6.020112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031828128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02602938.2010.545869", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031932490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2193-1801-2-222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032030234", 
          "https://doi.org/10.1186/2193-1801-2-222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.10.020101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033737332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.10.020101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033737332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11162-016-9429-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035946556", 
          "https://doi.org/10.1007/s11162-016-9429-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11162-016-9429-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035946556", 
          "https://doi.org/10.1007/s11162-016-9429-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.2.010105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038136186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.2.010105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038136186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0013164406288166", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038439237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0013164406288166", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038439237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevphyseducres.12.020105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038510232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevphyseducres.12.020105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038510232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/08957340802558326", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039633092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.5.010101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040324219"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.5.010101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040324219"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.6.010106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043151485"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevstper.6.010106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043151485"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chb.2013.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043720079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13538320802507505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045535122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jee.20030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046890115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02602930410001689171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049824424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-8535.00294", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053489882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-8535.00294", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053489882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1119/1.1371296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062231251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1119/1.18863", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062238359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1119/1.2343497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062255093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mipro.2014.6859649", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093986047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1119/perc.2016.pr.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098652834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1119/perc.2017.pr.095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101326746"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Background: High-stakes assessments, such the Graduate Records Examination, have transitioned from paper to computer administration. Low-stakes research-based assessments (RBAs), such as the Force Concept Inventory, have only recently begun this transition to computer administration with online services. These online services can simplify administering, scoring, and interpreting assessments, thereby reducing barriers to instructors' use of RBAs. By supporting instructors' objective assessment of the efficacy of their courses, these services can stimulate instructors to transform their courses to improve student outcomes. We investigate the extent to which RBAs administered outside of class with the online Learning About STEM Student Outcomes (LASSO) platform provide equivalent data to tests administered on paper in class, in terms of both student participation and performance. We use an experimental design to investigate the differences between these two assessment conditions with 1310 students in 25 sections of 3 college physics courses spanning 2 semesters.\nResults: Analysis conducted using hierarchical linear models indicates that student performance on low-stakes RBAs is equivalent for online (out-of-class) and paper-and-pencil (in-class) administrations. The models also show differences in participation rates across assessment conditions and student grades, but that instructors can achieve participation rates with online assessments equivalent to paper assessments by offering students credit for participating and by providing multiple reminders to complete the assessment.\nConclusions: We conclude that online out-of-class administration of RBAs can save class and instructor time while providing participation rates and performance results equivalent to in-class paper-and-pencil tests.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40594-018-0117-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4318527", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4318608", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3848880", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1136043", 
        "issn": [
          "2196-7822"
        ], 
        "name": "International Journal of STEM Education", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "Participation and performance on paper- and computer-based low-stakes assessments", 
    "pagination": "21", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1f5441bb78f0f56d3295df746cdfdd2d0e41fa02787f3e180ccad72fc947cbde"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30631711"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101738908"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40594-018-0117-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103846572"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40594-018-0117-4", 
      "https://app.dimensions.ai/details/publication/pub.1103846572"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:00", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89816_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40594-018-0117-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s40594-018-0117-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40594-018-0117-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40594-018-0117-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40594-018-0117-4'


 

This table displays all metadata directly associated to this object as RDF triples.

205 TRIPLES      21 PREDICATES      63 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40594-018-0117-4 schema:about anzsrc-for:13
2 anzsrc-for:1303
3 schema:author N3efca31e01d0435d8b055514ad0f11a5
4 schema:citation sg:pub.10.1007/s11162-016-9429-8
5 sg:pub.10.1186/2193-1801-2-222
6 https://doi.org/10.1002/jee.20030
7 https://doi.org/10.1002/sim.5866
8 https://doi.org/10.1016/j.chb.2013.03.008
9 https://doi.org/10.1016/j.compedu.2016.11.008
10 https://doi.org/10.1016/j.jrp.2005.01.006
11 https://doi.org/10.1080/02602930410001689171
12 https://doi.org/10.1080/02602930701293231
13 https://doi.org/10.1080/02602930802687752
14 https://doi.org/10.1080/02602938.2010.545869
15 https://doi.org/10.1080/08886504.1996.10782166
16 https://doi.org/10.1080/08957340802558326
17 https://doi.org/10.1080/13538320802507505
18 https://doi.org/10.1103/physrevphyseducres.12.010115
19 https://doi.org/10.1103/physrevphyseducres.12.020105
20 https://doi.org/10.1103/physrevstper.10.020101
21 https://doi.org/10.1103/physrevstper.2.010101
22 https://doi.org/10.1103/physrevstper.2.010105
23 https://doi.org/10.1103/physrevstper.4.010106
24 https://doi.org/10.1103/physrevstper.5.010101
25 https://doi.org/10.1103/physrevstper.6.010106
26 https://doi.org/10.1103/physrevstper.6.020112
27 https://doi.org/10.1103/physrevstper.9.020121
28 https://doi.org/10.1109/mipro.2014.6859649
29 https://doi.org/10.1111/1467-8535.00294
30 https://doi.org/10.1119/1.1371296
31 https://doi.org/10.1119/1.18863
32 https://doi.org/10.1119/1.2343497
33 https://doi.org/10.1119/perc.2016.pr.039
34 https://doi.org/10.1119/perc.2017.pr.095
35 https://doi.org/10.1177/0013164406288166
36 https://doi.org/10.1177/0013164407305592
37 https://doi.org/10.3200/joeb.84.1.13-17
38 schema:datePublished 2018-12
39 schema:datePublishedReg 2018-12-01
40 schema:description Background: High-stakes assessments, such the Graduate Records Examination, have transitioned from paper to computer administration. Low-stakes research-based assessments (RBAs), such as the Force Concept Inventory, have only recently begun this transition to computer administration with online services. These online services can simplify administering, scoring, and interpreting assessments, thereby reducing barriers to instructors' use of RBAs. By supporting instructors' objective assessment of the efficacy of their courses, these services can stimulate instructors to transform their courses to improve student outcomes. We investigate the extent to which RBAs administered outside of class with the online Learning About STEM Student Outcomes (LASSO) platform provide equivalent data to tests administered on paper in class, in terms of both student participation and performance. We use an experimental design to investigate the differences between these two assessment conditions with 1310 students in 25 sections of 3 college physics courses spanning 2 semesters. Results: Analysis conducted using hierarchical linear models indicates that student performance on low-stakes RBAs is equivalent for online (out-of-class) and paper-and-pencil (in-class) administrations. The models also show differences in participation rates across assessment conditions and student grades, but that instructors can achieve participation rates with online assessments equivalent to paper assessments by offering students credit for participating and by providing multiple reminders to complete the assessment. Conclusions: We conclude that online out-of-class administration of RBAs can save class and instructor time while providing participation rates and performance results equivalent to in-class paper-and-pencil tests.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree true
44 schema:isPartOf Nf0be2b0e243b499dac85a0fae83dfd74
45 Nf123ce22bb064be5866abdc550017846
46 sg:journal.1136043
47 schema:name Participation and performance on paper- and computer-based low-stakes assessments
48 schema:pagination 21
49 schema:productId N446866b5fcc545f689042b5deb7eb798
50 N487cc06ed9914f3ca81d2950b12cc629
51 N88e1fcf866714bb69ca12977248a850e
52 N98b919de614640ff8e9a92b35305cfbf
53 Nb0497fdcd7f945d6965588f35b15957d
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103846572
55 https://doi.org/10.1186/s40594-018-0117-4
56 schema:sdDatePublished 2019-04-11T10:00
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N820b0d9150d046a5b80118dfd752eb02
59 schema:url https://link.springer.com/10.1186%2Fs40594-018-0117-4
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N11aaee1239d24e7e9a288734d439c5dd rdf:first sg:person.011251617450.05
64 rdf:rest rdf:nil
65 N3efca31e01d0435d8b055514ad0f11a5 rdf:first sg:person.016361727650.41
66 rdf:rest N69317fa04bcc44689f7f7c221123e6a3
67 N3f7bee1c7e604cfd8efd04ce6b3ffb5f rdf:first sg:person.014156360070.56
68 rdf:rest N11aaee1239d24e7e9a288734d439c5dd
69 N446866b5fcc545f689042b5deb7eb798 schema:name pubmed_id
70 schema:value 30631711
71 rdf:type schema:PropertyValue
72 N487cc06ed9914f3ca81d2950b12cc629 schema:name doi
73 schema:value 10.1186/s40594-018-0117-4
74 rdf:type schema:PropertyValue
75 N69317fa04bcc44689f7f7c221123e6a3 rdf:first sg:person.010116445763.77
76 rdf:rest N3f7bee1c7e604cfd8efd04ce6b3ffb5f
77 N820b0d9150d046a5b80118dfd752eb02 schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N88e1fcf866714bb69ca12977248a850e schema:name readcube_id
80 schema:value 1f5441bb78f0f56d3295df746cdfdd2d0e41fa02787f3e180ccad72fc947cbde
81 rdf:type schema:PropertyValue
82 N98b919de614640ff8e9a92b35305cfbf schema:name dimensions_id
83 schema:value pub.1103846572
84 rdf:type schema:PropertyValue
85 Nb0497fdcd7f945d6965588f35b15957d schema:name nlm_unique_id
86 schema:value 101738908
87 rdf:type schema:PropertyValue
88 Nf0be2b0e243b499dac85a0fae83dfd74 schema:issueNumber 1
89 rdf:type schema:PublicationIssue
90 Nf123ce22bb064be5866abdc550017846 schema:volumeNumber 5
91 rdf:type schema:PublicationVolume
92 anzsrc-for:13 schema:inDefinedTermSet anzsrc-for:
93 schema:name Education
94 rdf:type schema:DefinedTerm
95 anzsrc-for:1303 schema:inDefinedTermSet anzsrc-for:
96 schema:name Specialist Studies In Education
97 rdf:type schema:DefinedTerm
98 sg:grant.3848880 http://pending.schema.org/fundedItem sg:pub.10.1186/s40594-018-0117-4
99 rdf:type schema:MonetaryGrant
100 sg:grant.4318527 http://pending.schema.org/fundedItem sg:pub.10.1186/s40594-018-0117-4
101 rdf:type schema:MonetaryGrant
102 sg:grant.4318608 http://pending.schema.org/fundedItem sg:pub.10.1186/s40594-018-0117-4
103 rdf:type schema:MonetaryGrant
104 sg:journal.1136043 schema:issn 2196-7822
105 schema:name International Journal of STEM Education
106 rdf:type schema:Periodical
107 sg:person.010116445763.77 schema:affiliation https://www.grid.ac/institutes/grid.189504.1
108 schema:familyName Jariwala
109 schema:givenName Manher
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010116445763.77
111 rdf:type schema:Person
112 sg:person.011251617450.05 schema:affiliation https://www.grid.ac/institutes/grid.253555.1
113 schema:familyName Dusen
114 schema:givenName Ben Van
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011251617450.05
116 rdf:type schema:Person
117 sg:person.014156360070.56 schema:affiliation https://www.grid.ac/institutes/grid.264772.2
118 schema:familyName Close
119 schema:givenName Eleanor W.
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014156360070.56
121 rdf:type schema:Person
122 sg:person.016361727650.41 schema:affiliation https://www.grid.ac/institutes/grid.253555.1
123 schema:familyName Nissen
124 schema:givenName Jayson M.
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016361727650.41
126 rdf:type schema:Person
127 sg:pub.10.1007/s11162-016-9429-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035946556
128 https://doi.org/10.1007/s11162-016-9429-8
129 rdf:type schema:CreativeWork
130 sg:pub.10.1186/2193-1801-2-222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032030234
131 https://doi.org/10.1186/2193-1801-2-222
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1002/jee.20030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046890115
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1002/sim.5866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017348673
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.chb.2013.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043720079
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.compedu.2016.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016195609
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.jrp.2005.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002643119
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1080/02602930410001689171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049824424
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1080/02602930701293231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029478697
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1080/02602930802687752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017859228
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1080/02602938.2010.545869 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031932490
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1080/08886504.1996.10782166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023138188
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1080/08957340802558326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039633092
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1080/13538320802507505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045535122
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1103/physrevphyseducres.12.010115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001460408
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1103/physrevphyseducres.12.020105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038510232
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1103/physrevstper.10.020101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033737332
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1103/physrevstper.2.010101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022282437
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1103/physrevstper.2.010105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038136186
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1103/physrevstper.4.010106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008797723
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1103/physrevstper.5.010101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040324219
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1103/physrevstper.6.010106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043151485
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1103/physrevstper.6.020112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031828128
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1103/physrevstper.9.020121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028292982
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1109/mipro.2014.6859649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093986047
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1111/1467-8535.00294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053489882
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1119/1.1371296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062231251
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1119/1.18863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062238359
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1119/1.2343497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062255093
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1119/perc.2016.pr.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098652834
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1119/perc.2017.pr.095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101326746
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1177/0013164406288166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038439237
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1177/0013164407305592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017864112
194 rdf:type schema:CreativeWork
195 https://doi.org/10.3200/joeb.84.1.13-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012935616
196 rdf:type schema:CreativeWork
197 https://www.grid.ac/institutes/grid.189504.1 schema:alternateName Boston University
198 schema:name Department of Physics, Boston University, 02215, Boston, MA, USA
199 rdf:type schema:Organization
200 https://www.grid.ac/institutes/grid.253555.1 schema:alternateName California State University, Chico
201 schema:name Department of Science Education, California State University - Chico, 101 Holt Hall, 95929, Chico, CA, USA
202 rdf:type schema:Organization
203 https://www.grid.ac/institutes/grid.264772.2 schema:alternateName Texas State University–San Marcos
204 schema:name Department of Physics, Texas State University, 78666, San Marcos, TX, USA
205 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...