View in EDS HTML Full Text PDF Full Text

Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research.

Saved in:
Bibliographic Details
Title: Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research.
Authors: Xiao, Junhong1 (AUTHOR) frankxjh@outlook.com, Bozkurt, Aras2 (AUTHOR), Nichols, Mark3 (AUTHOR), Pazurek, Angelica4 (AUTHOR), Stracke, Christian M.5 (AUTHOR), Bai, John Y. H.6 (AUTHOR), Farrow, Robert7 (AUTHOR), Mulligan, Dónal8 (AUTHOR), Nerantzi, Chrissi9 (AUTHOR), Sharma, Ramesh Chander10 (AUTHOR), Singh, Lenandlar11 (AUTHOR), Frumin, Isak12 (AUTHOR), Swindell, Andrew13 (AUTHOR), Honeychurch, Sarah14 (AUTHOR), Bond, Melissa15,16 (AUTHOR), Dron, Jon17 (AUTHOR), Moore, Stephanie18 (AUTHOR), Leng, Jing19 (AUTHOR), van Tryon, Patricia J. Slagter20 (AUTHOR), Garcia, Manuel21 (AUTHOR)
Source: TechTrends: Linking Research & Practice to Improve Learning. May2025, Vol. 69 Issue 3, p582-597. 16p.
Subject Terms: *Generative artificial intelligence, *Education research, *Decision making, *Public-private sector cooperation, *Educational change
Abstract: Advocates of AI in Education (AIEd) assert that the current generation of technologies, collectively dubbed artificial intelligence, including generative artificial intelligence (GenAI), promise results that can transform our conceptions of what education looks like. Therefore, it is imperative to investigate how educators perceive GenAI and its potential use and future impact on education. Adopting the methodology of collective writing as an inquiry, this study reports on the participating educators' perceived grey areas (i.e. issues that are unclear and/or controversial) and recommendations on future research. The grey areas reported cover decision-making on the use of GenAI, AI ethics, appropriate levels of use of GenAI in education, impact on learning and teaching, policy, data, GenAI outputs, humans in the loop and public–private partnerships. Recommended directions for future research include learning and teaching, ethical and legal implications, ownership/authorship, funding, technology, research support, AI metaphor and types of research. Each theme or subtheme is presented in the form of a statement, followed by a justification. These findings serve as a call to action to encourage a continuing debate around GenAI and to engage more educators in research. The paper concludes that unless we can ask the right questions now, we may find that, in the pursuit of greater efficiency, we have lost the very essence of what it means to educate and learn. [ABSTRACT FROM AUTHOR]
Copyright of TechTrends: Linking Research & Practice to Improve Learning is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: ehh
DbLabel: Education Research Complete
An: 185725469
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xiao%2C+Junhong%22">Xiao, Junhong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> frankxjh@outlook.com</i><br /><searchLink fieldCode="AR" term="%22Bozkurt%2C+Aras%22">Bozkurt, Aras</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nichols%2C+Mark%22">Nichols, Mark</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pazurek%2C+Angelica%22">Pazurek, Angelica</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stracke%2C+Christian+M%2E%22">Stracke, Christian M.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bai%2C+John+Y%2E+H%2E%22">Bai, John Y. H.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Farrow%2C+Robert%22">Farrow, Robert</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mulligan%2C+Dónal%22">Mulligan, Dónal</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nerantzi%2C+Chrissi%22">Nerantzi, Chrissi</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sharma%2C+Ramesh+Chander%22">Sharma, Ramesh Chander</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singh%2C+Lenandlar%22">Singh, Lenandlar</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Frumin%2C+Isak%22">Frumin, Isak</searchLink><relatesTo>12</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Swindell%2C+Andrew%22">Swindell, Andrew</searchLink><relatesTo>13</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Honeychurch%2C+Sarah%22">Honeychurch, Sarah</searchLink><relatesTo>14</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bond%2C+Melissa%22">Bond, Melissa</searchLink><relatesTo>15,16</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dron%2C+Jon%22">Dron, Jon</searchLink><relatesTo>17</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moore%2C+Stephanie%22">Moore, Stephanie</searchLink><relatesTo>18</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leng%2C+Jing%22">Leng, Jing</searchLink><relatesTo>19</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Tryon%2C+Patricia+J%2E+Slagter%22">van Tryon, Patricia J. Slagter</searchLink><relatesTo>20</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Garcia%2C+Manuel%22">Garcia, Manuel</searchLink><relatesTo>21</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22TechTrends%3A+Linking+Research+%26+Practice+to+Improve+Learning%22">TechTrends: Linking Research & Practice to Improve Learning</searchLink>. May2025, Vol. 69 Issue 3, p582-597. 16p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Education+research%22">Education research</searchLink><br />*<searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Public-private+sector+cooperation%22">Public-private sector cooperation</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+change%22">Educational change</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Advocates of AI in Education (AIEd) assert that the current generation of technologies, collectively dubbed artificial intelligence, including generative artificial intelligence (GenAI), promise results that can transform our conceptions of what education looks like. Therefore, it is imperative to investigate how educators perceive GenAI and its potential use and future impact on education. Adopting the methodology of collective writing as an inquiry, this study reports on the participating educators' perceived grey areas (i.e. issues that are unclear and/or controversial) and recommendations on future research. The grey areas reported cover decision-making on the use of GenAI, AI ethics, appropriate levels of use of GenAI in education, impact on learning and teaching, policy, data, GenAI outputs, humans in the loop and public–private partnerships. Recommended directions for future research include learning and teaching, ethical and legal implications, ownership/authorship, funding, technology, research support, AI metaphor and types of research. Each theme or subtheme is presented in the form of a statement, followed by a justification. These findings serve as a call to action to encourage a continuing debate around GenAI and to engage more educators in research. The paper concludes that unless we can ask the right questions now, we may find that, in the pursuit of greater efficiency, we have lost the very essence of what it means to educate and learn. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of TechTrends: Linking Research & Practice to Improve Learning is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=185725469
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11528-025-01060-6
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 582
    Subjects:
      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: Education research
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Public-private sector cooperation
        Type: general
      – SubjectFull: Educational change
        Type: general
    Titles:
      – TitleFull: Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xiao, Junhong
      – PersonEntity:
          Name:
            NameFull: Bozkurt, Aras
      – PersonEntity:
          Name:
            NameFull: Nichols, Mark
      – PersonEntity:
          Name:
            NameFull: Pazurek, Angelica
      – PersonEntity:
          Name:
            NameFull: Stracke, Christian M.
      – PersonEntity:
          Name:
            NameFull: Bai, John Y. H.
      – PersonEntity:
          Name:
            NameFull: Farrow, Robert
      – PersonEntity:
          Name:
            NameFull: Mulligan, Dónal
      – PersonEntity:
          Name:
            NameFull: Nerantzi, Chrissi
      – PersonEntity:
          Name:
            NameFull: Sharma, Ramesh Chander
      – PersonEntity:
          Name:
            NameFull: Singh, Lenandlar
      – PersonEntity:
          Name:
            NameFull: Frumin, Isak
      – PersonEntity:
          Name:
            NameFull: Swindell, Andrew
      – PersonEntity:
          Name:
            NameFull: Honeychurch, Sarah
      – PersonEntity:
          Name:
            NameFull: Bond, Melissa
      – PersonEntity:
          Name:
            NameFull: Dron, Jon
      – PersonEntity:
          Name:
            NameFull: Moore, Stephanie
      – PersonEntity:
          Name:
            NameFull: Leng, Jing
      – PersonEntity:
          Name:
            NameFull: van Tryon, Patricia J. Slagter
      – PersonEntity:
          Name:
            NameFull: Garcia, Manuel
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 87563894
          Numbering:
            – Type: volume
              Value: 69
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: TechTrends: Linking Research & Practice to Improve Learning
              Type: main
ResultId 1