Active Learning for Technology Enhanced Learning View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Artus Krohn-Grimberghe , Andre Busche , Alexandros Nanopoulos , Lars Schmidt-Thieme

ABSTRACT

Suggesting tasks and learning resources of appropriate difficulty to learners is challenging. Neither should they be too difficult and nor too easy. Well-chosen tasks would enable a quick assessment of the learner, well-chosen learning resources would speed up the learning curve most. We connect active learning to classical pedagogical theory and propose the uncertainty sampling framework as a means to the challenge of selecting optimal tasks and learning resources to learners. To assess the efficiency of this strategy, we compared different exercise selection strategies and evaluated their effect on different datasets. We consistently find that uncertainty sampling significantly outperforms several alternative exercise selection approaches and thus leads to a faster convergence to the true assessment. These findings demonstrate that active (machine) learning is consistent with classic learning theory. It is a valuable instrument for choosing appropriate exercises as well as learning resources both from a teacher’s and from a learner’s perspective. More... »

PAGES

512-518

References to SciGraph publications

Book

TITLE

Towards Ubiquitous Learning

ISBN

978-3-642-23984-7
978-3-642-23985-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-23985-4_48

DOI

http://dx.doi.org/10.1007/978-3-642-23985-4_48

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024812220


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": "University of Hildesheim", 
          "id": "https://www.grid.ac/institutes/grid.9463.8", 
          "name": [
            "Information Systems and Machine Learning Lab, University of Hildesheim, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krohn-Grimberghe", 
        "givenName": "Artus", 
        "id": "sg:person.0762700441.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762700441.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Hildesheim", 
          "id": "https://www.grid.ac/institutes/grid.9463.8", 
          "name": [
            "Information Systems and Machine Learning Lab, University of Hildesheim, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Busche", 
        "givenName": "Andre", 
        "id": "sg:person.012652414634.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012652414634.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Hildesheim", 
          "id": "https://www.grid.ac/institutes/grid.9463.8", 
          "name": [
            "Information Systems and Machine Learning Lab, University of Hildesheim, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nanopoulos", 
        "givenName": "Alexandros", 
        "id": "sg:person.011375341072.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011375341072.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Hildesheim", 
          "id": "https://www.grid.ac/institutes/grid.9463.8", 
          "name": [
            "Information Systems and Machine Learning Lab, University of Hildesheim, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schmidt-Thieme", 
        "givenName": "Lars", 
        "id": "sg:person.015657671621.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015657671621.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-0-387-85820-3_12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024791489", 
          "https://doi.org/10.1007/978-0-387-85820-3_12"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-85820-3_12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024791489", 
          "https://doi.org/10.1007/978-0-387-85820-3_12"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-47987-2_75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049797762", 
          "https://doi.org/10.1007/3-540-47987-2_75"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-47987-2_75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049797762", 
          "https://doi.org/10.1007/3-540-47987-2_75"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-1-55860-335-6.50026-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051051573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4018/978-1-61350-489-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096034470"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "Suggesting tasks and learning resources of appropriate difficulty to learners is challenging. Neither should they be too difficult and nor too easy. Well-chosen tasks would enable a quick assessment of the learner, well-chosen learning resources would speed up the learning curve most. We connect active learning to classical pedagogical theory and propose the uncertainty sampling framework as a means to the challenge of selecting optimal tasks and learning resources to learners. To assess the efficiency of this strategy, we compared different exercise selection strategies and evaluated their effect on different datasets. We consistently find that uncertainty sampling significantly outperforms several alternative exercise selection approaches and thus leads to a faster convergence to the true assessment. These findings demonstrate that active (machine) learning is consistent with classic learning theory. It is a valuable instrument for choosing appropriate exercises as well as learning resources both from a teacher\u2019s and from a learner\u2019s perspective.", 
    "editor": [
      {
        "familyName": "Kloos", 
        "givenName": "Carlos Delgado", 
        "type": "Person"
      }, 
      {
        "familyName": "Gillet", 
        "givenName": "Denis", 
        "type": "Person"
      }, 
      {
        "familyName": "Crespo Garc\u00eda", 
        "givenName": "Raquel M.", 
        "type": "Person"
      }, 
      {
        "familyName": "Wild", 
        "givenName": "Fridolin", 
        "type": "Person"
      }, 
      {
        "familyName": "Wolpers", 
        "givenName": "Martin", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-23985-4_48", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-23984-7", 
        "978-3-642-23985-4"
      ], 
      "name": "Towards Ubiquitous Learning", 
      "type": "Book"
    }, 
    "name": "Active Learning for Technology Enhanced Learning", 
    "pagination": "512-518", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024812220"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-23985-4_48"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7634d167ee7242e725045a8353547f574cae75256a9924c4659a602cff9d84e9"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-23985-4_48", 
      "https://app.dimensions.ai/details/publication/pub.1024812220"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T09:31", 
    "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/v90/0000000372_0000000372/records_117128_00000001.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-23985-4_48"
  }
]
 

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.10.1007/978-3-642-23985-4_48'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23985-4_48'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23985-4_48'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23985-4_48'


 

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

120 TRIPLES      23 PREDICATES      31 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-23985-4_48 schema:about anzsrc-for:13
2 anzsrc-for:1303
3 schema:author Nd89dfd6c590941b6bd5f23eacd696156
4 schema:citation sg:pub.10.1007/3-540-47987-2_75
5 sg:pub.10.1007/978-0-387-85820-3_12
6 https://doi.org/10.1016/b978-1-55860-335-6.50026-x
7 https://doi.org/10.4018/978-1-61350-489-5
8 schema:datePublished 2011
9 schema:datePublishedReg 2011-01-01
10 schema:description Suggesting tasks and learning resources of appropriate difficulty to learners is challenging. Neither should they be too difficult and nor too easy. Well-chosen tasks would enable a quick assessment of the learner, well-chosen learning resources would speed up the learning curve most. We connect active learning to classical pedagogical theory and propose the uncertainty sampling framework as a means to the challenge of selecting optimal tasks and learning resources to learners. To assess the efficiency of this strategy, we compared different exercise selection strategies and evaluated their effect on different datasets. We consistently find that uncertainty sampling significantly outperforms several alternative exercise selection approaches and thus leads to a faster convergence to the true assessment. These findings demonstrate that active (machine) learning is consistent with classic learning theory. It is a valuable instrument for choosing appropriate exercises as well as learning resources both from a teacher’s and from a learner’s perspective.
11 schema:editor Nf4bfded85e4640b699628c047d98d1e3
12 schema:genre chapter
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf N94ee7e452b4b4323ad89931c44201907
16 schema:name Active Learning for Technology Enhanced Learning
17 schema:pagination 512-518
18 schema:productId N8ff4de1638bc4e578f8a7c412a220bc7
19 Nca833765336a4950baf09655022d330d
20 Nfe55237b5c514d2f94abe8fe2e2a9ee8
21 schema:publisher Nf84ab89b640248ebb7497770610141e8
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024812220
23 https://doi.org/10.1007/978-3-642-23985-4_48
24 schema:sdDatePublished 2019-04-16T09:31
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher N53838400628e4bf58664888977252005
27 schema:url https://link.springer.com/10.1007%2F978-3-642-23985-4_48
28 sgo:license sg:explorer/license/
29 sgo:sdDataset chapters
30 rdf:type schema:Chapter
31 N0913b0074bdf43a49a5d4dbfe6f101e4 rdf:first N13d3843315bf42e4a931bf797d28c2dd
32 rdf:rest rdf:nil
33 N13d3843315bf42e4a931bf797d28c2dd schema:familyName Wolpers
34 schema:givenName Martin
35 rdf:type schema:Person
36 N1d51bc05b1f643a69c3cff81e625949b rdf:first N8d89ef4901de415c9cdaecf0f520bc4d
37 rdf:rest Nc7c0be83a1bd48a5b533f7203e780111
38 N2264103b083c4ac9b9586c8751dec47c rdf:first sg:person.015657671621.13
39 rdf:rest rdf:nil
40 N4ceae183601f46dc966606255baa6cf8 rdf:first sg:person.011375341072.41
41 rdf:rest N2264103b083c4ac9b9586c8751dec47c
42 N53838400628e4bf58664888977252005 schema:name Springer Nature - SN SciGraph project
43 rdf:type schema:Organization
44 N8d89ef4901de415c9cdaecf0f520bc4d schema:familyName Gillet
45 schema:givenName Denis
46 rdf:type schema:Person
47 N8ff4de1638bc4e578f8a7c412a220bc7 schema:name doi
48 schema:value 10.1007/978-3-642-23985-4_48
49 rdf:type schema:PropertyValue
50 N94ee7e452b4b4323ad89931c44201907 schema:isbn 978-3-642-23984-7
51 978-3-642-23985-4
52 schema:name Towards Ubiquitous Learning
53 rdf:type schema:Book
54 N9dd8b86745ee4f79b444e2a015b0ebe3 schema:familyName Kloos
55 schema:givenName Carlos Delgado
56 rdf:type schema:Person
57 Nabf06d1eccf542da83eb4278fb92be90 rdf:first sg:person.012652414634.66
58 rdf:rest N4ceae183601f46dc966606255baa6cf8
59 Nbf16732b06634ed18f07f7623dc2023f rdf:first Ne9905e932b5643569a1abe5cce9d0536
60 rdf:rest N0913b0074bdf43a49a5d4dbfe6f101e4
61 Nc7c0be83a1bd48a5b533f7203e780111 rdf:first Nf015a0b716934cfda95c5759bdb93392
62 rdf:rest Nbf16732b06634ed18f07f7623dc2023f
63 Nca833765336a4950baf09655022d330d schema:name readcube_id
64 schema:value 7634d167ee7242e725045a8353547f574cae75256a9924c4659a602cff9d84e9
65 rdf:type schema:PropertyValue
66 Nd89dfd6c590941b6bd5f23eacd696156 rdf:first sg:person.0762700441.49
67 rdf:rest Nabf06d1eccf542da83eb4278fb92be90
68 Ne9905e932b5643569a1abe5cce9d0536 schema:familyName Wild
69 schema:givenName Fridolin
70 rdf:type schema:Person
71 Nf015a0b716934cfda95c5759bdb93392 schema:familyName Crespo García
72 schema:givenName Raquel M.
73 rdf:type schema:Person
74 Nf4bfded85e4640b699628c047d98d1e3 rdf:first N9dd8b86745ee4f79b444e2a015b0ebe3
75 rdf:rest N1d51bc05b1f643a69c3cff81e625949b
76 Nf84ab89b640248ebb7497770610141e8 schema:location Berlin, Heidelberg
77 schema:name Springer Berlin Heidelberg
78 rdf:type schema:Organisation
79 Nfe55237b5c514d2f94abe8fe2e2a9ee8 schema:name dimensions_id
80 schema:value pub.1024812220
81 rdf:type schema:PropertyValue
82 anzsrc-for:13 schema:inDefinedTermSet anzsrc-for:
83 schema:name Education
84 rdf:type schema:DefinedTerm
85 anzsrc-for:1303 schema:inDefinedTermSet anzsrc-for:
86 schema:name Specialist Studies In Education
87 rdf:type schema:DefinedTerm
88 sg:person.011375341072.41 schema:affiliation https://www.grid.ac/institutes/grid.9463.8
89 schema:familyName Nanopoulos
90 schema:givenName Alexandros
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011375341072.41
92 rdf:type schema:Person
93 sg:person.012652414634.66 schema:affiliation https://www.grid.ac/institutes/grid.9463.8
94 schema:familyName Busche
95 schema:givenName Andre
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012652414634.66
97 rdf:type schema:Person
98 sg:person.015657671621.13 schema:affiliation https://www.grid.ac/institutes/grid.9463.8
99 schema:familyName Schmidt-Thieme
100 schema:givenName Lars
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015657671621.13
102 rdf:type schema:Person
103 sg:person.0762700441.49 schema:affiliation https://www.grid.ac/institutes/grid.9463.8
104 schema:familyName Krohn-Grimberghe
105 schema:givenName Artus
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762700441.49
107 rdf:type schema:Person
108 sg:pub.10.1007/3-540-47987-2_75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049797762
109 https://doi.org/10.1007/3-540-47987-2_75
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/978-0-387-85820-3_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024791489
112 https://doi.org/10.1007/978-0-387-85820-3_12
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/b978-1-55860-335-6.50026-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051051573
115 rdf:type schema:CreativeWork
116 https://doi.org/10.4018/978-1-61350-489-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096034470
117 rdf:type schema:CreativeWork
118 https://www.grid.ac/institutes/grid.9463.8 schema:alternateName University of Hildesheim
119 schema:name Information Systems and Machine Learning Lab, University of Hildesheim, Germany
120 rdf:type schema:Organization
 




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


...