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<p>Araştırma Makalesi / Research Article</p>
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<disp-quote>
  <p><bold>International Society That Learn Journal e-ISSN:
  3023-8374</bold>
  <bold>2026 | Volume 3 | Issue 1</bold>
  <bold>Page 125-143</bold></p>
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            <p><bold>Uluslararası Öğrenen Toplum Dergisi e-ISSN:
            3023-8374</bold>
            <bold>2026 | Cilt 3 | Sayı 1</bold>
            <bold>Sayfa 125-143</bold></p>
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<disp-quote>
  <p><bold>Contextual Digital Identity: A Conceptual Model for
  Understanding Teachers’ Technology Use Beyond the Digital
  Native–Immigrant Dichotomy</bold></p>
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  <p><bold>Bağlamsal Dijital Kimlik: Dijital Yerli–Göçmen İkileminin
  Ötesinde Öğretmenlerin Teknoloji Kullanımını Anlamaya Yönelik
  Kavramsal Bir Model</bold></p>
  <p><bold>Jasmin Bahmani,</bold>
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  <p><bold>https://orcid.org/0009-0002-0907-3452</bold>
  <italic>Islamic Azad University, Tehran, Iran</italic></p>
  <p><bold>Uploaded:</bold> 23.03.2026; <bold>Revised</bold>:
  21.04.2026; <bold>Accepted:</bold> 20.05.2026; <bold>Published:</bold>
  01.06.2026 Bahmani, J. (2026). Contextual Digital Identity: A
  Conceptual Model for Understanding Teachers’
  Technology Use Beyond the Digital Native–Immigrant Dichotomy.
  <italic>International Society that Learn Journal,</italic>
  <italic>3</italic>(1), 125-143.</p>
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<p>Araştırma Makalesi / Research Article</p>
<p><bold>Summary</bold></p>
<disp-quote>
  <p>The widespread use of the digital native–digital immigrant
  dichotomy has long shaped discussions on technology integration in
  education. However, this binary classification, originally proposed by
  Marc Prensky (2001), has been increasingly criticized for its
  oversimplification and lack of empirical grounding. This conceptual
  paper argues that the dichotomy fails to capture the complex,
  situational, and multidimensional nature of teachers’ digital
  practices. Drawing on critical perspectives in educational technology
  literature, this study introduces the notion of contextual digital
  identity as an alternative framework. The proposed model
  conceptualizes digital identity as a dynamic construct shaped by the
  interaction between usage context, individual factors (e.g.,
  self-efficacy, attitudes, experience), and perceived purpose. It
  suggests that individuals may exhibit digital native, digital
  immigrant, or hybrid behaviors depending on the specific context in
  which technology is used. The paper further argues that teachers’
  challenges in technology integration are not primarily rooted in
  generational differences, but rather in context-dependent
  variations—particularly within pedagogical settings. In this regard,
  the concept of pedagogical digital immigration is proposed to explain
  the discrepancy between teachers’ everyday digital fluency and their
  limited use of technology in instructional practices. By reframing
  digital identity as contextual and fluid, this study contributes to
  the theoretical advancement of educational technology research and
  offers implications for teacher education, policy design, and future
  empirical investigations. The proposed framework provides a foundation
  for moving beyond deterministic and generational explanations toward
  more nuanced, behavior-oriented understandings of technology use in
  education.</p>
  <p><bold>Keywords:</bold> contextual digital identity, digital
  natives, digital immigrants, teacher technology use, educational
  technology, conceptual model</p>
</disp-quote>
<p><bold>Özet</bold></p>
<disp-quote>
  <p>Dijital yerli–dijital göçmen ikilisinin yaygın kullanımı, eğitimde
  teknoloji entegrasyonuna ilişkin tartışmaları uzun süredir
  şekillendirmektedir. Ne var ki ilk olarak Marc Prensky (2001)
  tarafından önerilen bu ikili sınıflandırma, aşırı basitleştirme ve
  ampirik temelden yoksunluk gerekçesiyle giderek artan bir eleştiriye
  konu olmaktadır. Bu kavramsal makale, söz konusu ikilinin
  öğretmenlerin dijital pratiklerinin karmaşık, durumsal ve çok boyutlu
  yapısını kavramakta yetersiz kaldığını savunmaktadır. Eğitim
  teknolojisi literatüründeki eleştirel perspektiflerden hareketle bu
  çalışma, alternatif bir çerçeve olarak bağlamsal dijital kimlik
  kavramını ortaya koymaktadır. Önerilen model, dijital kimliği;
  kullanım bağlamı, bireysel etkenler (öz yeterlik, tutumlar, deneyim
  gibi) ve algılanan amaç arasındaki etkileşimle biçimlenen dinamik bir
  yapı olarak kavramsallaştırmaktadır. Modele göre bireyler,
  teknolojinin kullanıldığı özgül bağlama bağlı olarak dijital yerli,
  dijital göçmen ya da hibrit davranışlar sergileyebilmektedir. Makale
  ayrıca öğretmenlerin teknoloji entegrasyonundaki güçlüklerinin temelde
  kuşak farklılıklarından değil, özellikle pedagojik ortamlarda
  belirginleşen bağlama özgü değişkenliklerden kaynaklandığını öne
  sürmektedir. Bu bağlamda öğretmenlerin gündelik dijital akıcılıkları
  ile öğretim pratiklerindeki sınırlı teknoloji kullanımı arasındaki
  tutarsızlığı açıklamak amacıyla pedagojik dijital göçmenlik kavramı
  önerilmektedir. Dijital kimliği bağlamsal ve akışkan bir yapı olarak
  yeniden çerçevelendiren bu çalışma, eğitim teknolojisi
  araştırmalarının kuramsal gelişimine katkı sunmakta; öğretmen eğitimi,
  politika tasarımı ve gelecekteki ampirik çalışmalar için önemli
  çıkarımlar ortaya koymaktadır. Önerilen çerçeve, eğitimde teknoloji
  kullanımına ilişkin deterministik ve kuşak odaklı açıklamalardan
  uzaklaşarak daha incelikli ve davranış temelli anlayışlara geçiş için
  sağlam bir zemin oluşturmaktadır.</p>
  <p><bold>Anahtar Kelimeler:</bold> bağlamsal dijital kimlik, dijital
  yerliler, dijital göçmenler, öğretmenlerin teknoloji kullanımı, eğitim
  teknolojisi, kavramsal model</p>
</disp-quote>
<p>Bahmani, J. (2026). Contextual Digital Identity: A Conceptual Model
for Understanding Teachers’ Technology Use Beyond the Digital
Native–Immigrant Dichotomy. <italic>International Society that Learn
Journal, 3</italic>(1), 125-143.</p>
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  <p>Bahmani
  International Society that Learn Journal</p>
</disp-quote>
<p><bold>Introduction</bold></p>
<disp-quote>
  <p>The rapid advancement of digital technologies has fundamentally
  transformed how individuals access, process, and produce information.
  In educational contexts, these transformations have intensified the
  need to understand how teachers engage with technology and integrate
  it into their instructional practices. One of the most influential
  frameworks in this domain has been the distinction between digital
  natives and digital immigrants, introduced by Marc Prensky (2001).
  According to this perspective, individuals who grow up surrounded by
  digital technologies develop distinct cognitive styles and learning
  preferences compared to those who adopt these technologies later in
  life.</p>
  <p>Despite its widespread adoption, the digital native–immigrant
  dichotomy has been subject to substantial critique over the past two
  decades. Scholars have argued that the framework is conceptually
  simplistic, empirically weak, and potentially misleading (Bennett et
  al., 2008; Selwyn, 2009). In particular, the assumption that
  generational membership alone determines technological competence has
  been challenged by evidence demonstrating significant variation within
  age groups. Individuals of similar ages often display markedly
  different levels of digital skill, confidence, and usage patterns,
  suggesting that factors beyond age—such as experience, motivation, and
  context—play a critical role.</p>
  <p>These limitations become especially evident in the case of
  teachers. While many educators actively engage with digital
  technologies in their personal lives—using social media, mobile
  applications, and communication tools—they often struggle to integrate
  similar technologies into pedagogical contexts. This discrepancy
  raises important questions about the validity of labeling teachers as
  “digital immigrants” based solely on their age or initial exposure to
  technology. If a teacher demonstrates high digital fluency in everyday
  contexts but exhibits reluctance or difficulty in instructional
  settings, can they still be accurately categorized within a fixed
  generational label?</p>
  <p>This paper argues that such categorizations are insufficient for
  capturing the complexity of digital behavior. Instead of viewing
  digital identity as a stable, generationally determined attribute,
  this study conceptualizes it as a dynamic and context-dependent
  construct. Specifically, it introduces the concept of contextual
  digital identity, which posits that individuals’ digital behaviors
  vary across different domains of use—such as social, pedagogical, and
  academic contexts.</p>
  <p>From this perspective, the key issue in understanding teachers’
  technology use is not whether they belong to a particular generational
  category, but how they navigate different</p>
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  <p>digital environments. A teacher may exhibit “digital native-like”
  behaviors when interacting with social media platforms, while
  simultaneously demonstrating “digital immigrant-like” tendencies when
  using learning management systems or instructional technologies. This
  situational variability highlights the need for a more flexible and
  nuanced framework.</p>
  <p>Building on this argument, the present study proposes a conceptual
  model that explains digital identity as the outcome of interactions
  among three core components: usage context, individual factors, and
  perceived purpose. Furthermore, the study introduces the concept of
  pedagogical digital immigration to describe the phenomenon in which
  teachers, despite being digitally competent in everyday contexts,
  experience limitations in applying these competencies within teaching
  and learning processes.</p>
  <p>By challenging the dominant dichotomous paradigm and offering a
  context-sensitive alternative, this paper aims to contribute to the
  theoretical development of educational technology research. It also
  seeks to provide a foundation for future empirical studies that can
  test and refine the proposed model. Ultimately, a more nuanced
  understanding of digital identity may lead to more effective teacher
  training programs, better-informed educational policies, and more
  meaningful integration of technology in classrooms.</p>
</disp-quote>
<p><bold>Literature Review</bold></p>
<disp-quote>
  <p>The distinction between digital natives and digital immigrants has
  been one of the most influential frameworks in understanding
  individuals’ interactions with technology in educational contexts.
  Initially introduced by Marc Prensky (2001), this dichotomy posits
  that individuals who grow up with digital technologies develop
  fundamentally different cognitive processes and learning preferences
  compared to those who encounter these technologies later in life.
  Digital natives are often characterized as fast information
  processors, comfortable with multitasking, and inclined toward
  interactive and multimedia environments, whereas digital immigrants
  are described as more linear, reflective, and cautious in their use of
  technology.</p>
  <p>Early literature widely adopted this framework to explain
  differences in learning styles and instructional needs. Studies have
  suggested that digital natives prefer rapid access to information,
  visual content, and interactive learning environments, while digital
  immigrants tend to favor structured, text-based, and sequential
  approaches to learning. These assumptions have influenced educational
  policy and instructional design, often leading to the belief that
  teaching strategies should be adapted primarily to match
  generational</p>
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  <p>characteristics.</p>
  <p>However, the digital native–immigrant dichotomy has been
  increasingly challenged in the literature. One of the most prominent
  critiques comes from Bennett et al. (2008), who argue that the concept
  lacks robust empirical evidence and oversimplifies the diversity of
  learners’ digital experiences. Similarly, Selwyn Neil (2009) contends
  that the notion of the notion of digital natives functions more as a
  myth than a scientifically grounded category, emphasizing that
  technological competence is shaped by access, experience, and
  socio-cultural factors rather than age alone.</p>
  <p>Subsequent research has further demonstrated that individuals
  within the same age group can exhibit significant variability in
  digital skills, attitudes, and usage patterns. This intra-generational
  diversity undermines the assumption that digital proficiency can be
  predicted solely based on generational membership. In educational
  contexts, this variability is particularly evident among teachers,
  whose technology use is influenced not only by prior exposure but also
  by pedagogical beliefs, institutional constraints, and professional
  development opportunities.</p>
  <p>Recent studies have begun to explore these complexities in more
  nuanced ways, particularly in the context of emerging technologies
  such as artificial intelligence. For instance, Stammers (2025)
  examines the pedagogical differences between digital natives and
  digital immigrants in AI-enhanced teaching environments and finds that
  digital natives tend to adopt AI-supported instructional tools more
  rapidly, whereas digital immigrants often face challenges related to
  technical knowledge and entrenched pedagogical habits. The study also
  highlights that effective integration of AI technologies requires not
  only technical competence but also pedagogical adaptation, suggesting
  that differences between the two groups are not merely generational
  but also contextual and practice based.</p>
  <p>Importantly, Stammers (2025) emphasizes that teacher training,
  institutional support, and pedagogical orientation play a critical
  role in technology adoption. This aligns with broader research
  indicating that teachers’ engagement with technology is mediated by
  factors such as self-efficacy, perceived usefulness, and instructional
  beliefs, rather than age alone. In this sense, the challenges faced by
  so-called digital immigrants may reflect systemic and contextual
  barriers rather than inherent limitations.</p>
  <p>In parallel, emerging literature on AI and digital learning
  environments underscores the increasing complexity of technology
  integration in education. The rise of AI-supported teaching strategies
  has shifted the focus from mere access to technology toward
  meaningful</p>
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  <p>and pedagogically grounded use. As noted in recent research, AI has
  the potential to personalize learning, enhance student engagement, and
  transform instructional practices, but its effectiveness depends
  heavily on how teachers interpret and implement these tools within
  specific contexts.</p>
  <p>Taken together, these findings suggest that the digital
  native–immigrant dichotomy is insufficient for explaining contemporary
  digital practices, particularly in educational settings characterized
  by rapid technological change. Rather than viewing digital identity as
  a fixed attribute determined by generational belonging, there is a
  growing need to conceptualize it as a dynamic, context-dependent
  construct.</p>
  <p>This shift in perspective provides the foundation for the present
  study. Building on the limitations identified in the literature, this
  paper proposes the concept of contextual digital identity as an
  alternative framework. By focusing on the interaction between usage
  context, individual factors, and perceived purpose, this approach aims
  to offer a more comprehensive and flexible understanding of teachers’
  technology use.</p>
</disp-quote>
<p><bold>Method</bold></p>
<p><bold>Research Design</bold></p>
<disp-quote>
  <p>This study adopts a conceptual research design, aiming to develop a
  theoretically grounded model to better explain teachers’ technology
  use beyond the digital native–digital immigrant dichotomy. Conceptual
  papers are particularly valuable in fields where existing frameworks
  are insufficient to explain emerging phenomena, as they allow for
  theory building through critical synthesis and reinterpretation of
  existing literature (Gilson &amp; Goldberg, 2015).</p>
  <p>Rather than collecting empirical data, this study employs a
  theory-building approach that integrates critical analysis, conceptual
  synthesis, and model development. The primary objective is to
  challenge the assumptions underlying the dominant dichotomous
  framework and to propose an alternative explanatory model contextual
  digital identity that accounts for the dynamic and situational nature
  of digital behavior.</p>
</disp-quote>
<p><bold>Methodological Approach</bold></p>
<disp-quote>
  <p>The study is based on a systematic and integrative literature
  review, which enables the identification of conceptual gaps and the
  development of new theoretical insights. Integrative reviews differ
  from traditional narrative reviews by combining findings from</p>
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  <p>diverse studies to generate new frameworks and perspectives
  (Torraco, 2005).</p>
  <p>The literature reviewed in this study was selected based on the
  following criteria: • Relevance to digital natives and digital
  immigrants
  • Focus on technology use in educational contexts
  • Inclusion of critical perspectives on generational classifications
  •
  Consideration of emerging technologies such as artificial intelligence
  in education Key sources include foundational works (e.g., Prensky,
  2001), critical analyses (e.g., Bennett et al., 2008; Selwyn, 2009),
  and recent studies examining technology integration and pedagogical
  transformation (e.g., Stammers, 2025).</p>
</disp-quote>
<p><bold>Model Development Process</bold></p>
<disp-quote>
  <p>The proposed Contextual Digital Identity Model was developed
  through a three-stage analytical process:
  <bold>Stage 1:</bold> Conceptual Deconstruction
  In the first stage, the digital native–immigrant framework was
  critically examined to identify its underlying assumptions and
  limitations. This analysis revealed three key issues: • Overreliance
  on generational categorization
  •
  Lack of sensitivity to contextual variation • Insufficient
  consideration of individual and psychological factors
  <bold>Stage 2:</bold> Conceptual Synthesis
  In the second stage, insights from multiple strands of literature were
  synthesized, including:
  • Educational technology research
  • Psychological constructs such as self-efficacy
  • Studies on teacher beliefs and technology adoption
  This synthesis led to the identification of three core dimensions
  influencing digital behavior:</p>
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            <p>Usage context (social, pedagogical, academic)</p>
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  <p>• Individual factors (self-efficacy, attitudes, experience)</p>
  <p>• Perceived purpose (entertainment, productivity, obligation)</p>
  <p><bold>Stage 3:</bold> Model Construction</p>
  <p>In the final stage, these dimensions were integrated into a
  coherent conceptual model.</p>
  <p>The model proposes that digital identity emerges from the
  interaction of these three</p>
  <p>dimensions, resulting in context-dependent behavioral outcomes
  categorized as:</p>
  <p>• Digital native-like behavior</p>
  <p>• Digital immigrant-like behavior</p>
  <p>• Hybrid behavior</p>
  <p>Additionally, the concept of pedagogical digital immigration was
  introduced to explain</p>
  <p>discrepancies between teachers’ general digital competence and
  their instructional</p>
  <p>technology use.</p>
</disp-quote>
<p><bold>Analytical Framework</bold></p>
<disp-quote>
  <p>The study employs a conceptual analytical framework that focuses on
  identifying</p>
  <p>relationships between constructs rather than testing causal
  effects. The proposed</p>
  <p>relationships are articulated through a set of theoretically
  derived propositions and</p>
  <p>hypotheses, which are intended to guide future empirical
  research.</p>
  <p>The framework is grounded in the assumption that digital behavior
  is:</p>
  <p>• Context-dependent rather than fixed</p>
  <p>• Multidimensional rather than binary</p>
  <p>• Dynamic rather than stable over time</p>
</disp-quote>
<p><bold>Validity and Rigor</bold></p>
<disp-quote>
  <p>To ensure conceptual rigor, the study follows established criteria
  for theory-building</p>
  <p>research:</p>
</disp-quote>
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            <p>•
            •
            •</p>
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            <p>Clarity of constructs: Each component of the model is
            explicitly defined
            Logical consistency: Relationships between constructs are
            theoretically justified Theoretical grounding: The model is
            anchored in existing literature</p>
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  <p>• Practical relevance: The framework addresses real-world
  challenges in education</p>
  <p>Furthermore, the inclusion of testable hypotheses enhances the
  model’s potential for empirical validation in future studies.</p>
</disp-quote>
<p><bold>Limitations</bold></p>
<disp-quote>
  <p>As a conceptual study, this research does not provide empirical
  validation of the proposed model. The absence of quantitative or
  qualitative data limits the ability to test the strength and direction
  of relationships between variables. However, the primary aim of the
  study is theory development rather than theory testing. Future
  research is therefore needed to empirically examine the proposed
  framework across different educational contexts and populations.</p>
</disp-quote>
<p><bold>Findings</bold></p>
<disp-quote>
  <p>Although this study does not rely on empirical data, the systematic
  synthesis of the literature and the proposed conceptual framework
  yield several important theoretical findings regarding the nature of
  digital identity and teachers’ technology use.</p>
  <p><bold>Digital Identity as a Context-Dependent Construct</bold></p>
  <p>One of the central findings of this study is that digital identity
  should not be conceptualized as a fixed attribute determined by
  generational belonging. Instead, the analysis suggests that digital
  identity is inherently context-dependent.</p>
  <p>The literature indicates that individuals demonstrate varying
  levels of digital competence and engagement across different domains
  of use. For instance, teachers who actively use social media platforms
  and digital communication tools in their daily lives may not exhibit
  the same level of competence or confidence in pedagogical contexts.
  This discrepancy challenges the assumption that individuals can be
  consistently categorized as either digital natives or digital
  immigrants.</p>
  <p>The proposed model therefore reveals that context acts as a primary
  determinant of digital behavior, shaping how individuals interact with
  technology in specific situations.</p>
  <p><bold>The Emergence of Hybrid Digital Identities</bold></p>
  <p>A second key finding is the identification of hybrid digital
  identities. The traditional</p>
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  <p>dichotomy assumes mutually exclusive categories; however, the
  conceptual analysis demonstrates that individuals often exhibit
  characteristics associated with both digital natives and digital
  immigrants.</p>
  <p>This hybridity becomes particularly visible in professional
  settings. For example, a teacher may display:</p>
  <p>• High fluency and adaptability in social digital environments</p>
  <p>• Hesitation, resistance, or limited competence in instructional
  technologies</p>
  <p>Such patterns indicate that digital identity is not binary but
  rather exists along a continuum of behaviors. The model thus
  introduces hybridity as a natural and expected outcome of
  context-dependent digital engagement.</p>
  <p><bold>Pedagogical Context as a Critical Boundary</bold></p>
  <p>Another significant finding concerns the distinct role of
  pedagogical context in shaping digital behavior. The analysis suggests
  that pedagogical environments function as a critical boundary where
  digital competence is often reconfigured.</p>
  <p>Unlike social or everyday contexts, pedagogical settings
  involve:</p>
  <p>• Instructional responsibility</p>
  <p>• Curriculum alignment</p>
  <p>• Classroom management considerations</p>
  <p>• Institutional expectations</p>
  <p>These additional layers of complexity may lead individuals to adopt
  more cautious, structured, or traditional approaches to technology
  use. As a result, even digitally competent individuals may exhibit
  what can be described as digital immigrant-like behavior in teaching
  contexts.</p>
  <p>This finding highlights that technology use in education cannot be
  fully understood without considering the specific demands of
  pedagogical environments.</p>
  <p><bold>Conceptualization of Pedagogical Digital
  Immigration</bold></p>
  <p>Building on the previous findings, the study introduces the concept
  of pedagogical digital immigration as a novel theoretical
  contribution. This concept refers to a situation in which e-ISSN:
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  <p>individuals who demonstrate digital fluency in everyday contexts
  experience limitations or reluctance when integrating technology into
  instructional practices.</p>
  <p>The emergence of pedagogical digital immigration can be explained
  by several interacting factors:</p>
  <p>• Lower pedagogical self-efficacy</p>
  <p>• Misalignment between technology and instructional goals</p>
  <p>• Lack of training in pedagogical technology integration</p>
  <p>• Institutional constraints and expectations</p>
  <p>This finding reframes the problem of teachers’ technology use.
  Rather than attributing difficulties to generational deficits, it
  suggests that the issue lies in contextual and pedagogical
  misalignment.</p>
  <p><bold>The Role of Individual Factors in Shaping Digital
  Behavior</bold></p>
  <p>The analysis further reveals that individual factors—particularly
  self-efficacy, attitudes, and prior experience—play a crucial role in
  mediating digital behavior across contexts. Consistent with prior
  research, individuals with higher levels of digital self-efficacy are
  more likely to engage confidently with technology, regardless of their
  generational category.</p>
  <p>However, the findings also indicate that these individual factors
  do not operate in isolation. Their influence is shaped by the
  interaction with context and perceived purpose.</p>
  <p>For example:</p>
  <p>• High self-efficacy may lead to native-like behavior in low-risk
  environments</p>
  <p>• The same individual may revert to immigrant-like behavior in
  high-stakes pedagogical settings</p>
  <p>Thus, digital behavior emerges from a dynamic interaction between
  internal dispositions and external conditions.</p>
  <p><bold>Perceived Purpose as a Determining Mechanism</bold></p>
  <p>Another important finding is the role of perceived purpose in
  shaping digital engagement. The analysis suggests that individuals
  approach technology differently depending on whether it is perceived
  as:</p>
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  <p>• A tool for entertainment
  • A means of increasing efficiency
  • A professional obligation
  When technology is driven by intrinsic motivation (e.g., enjoyment or
  personal interest), individuals tend to display more exploratory and
  adaptive behaviors. In contrast, when technology is perceived as
  obligatory or externally imposed, individuals are more likely to adopt
  cautious and limited usage patterns.</p>
  <p>This finding reinforces the idea that digital identity is not only
  context-dependent but also purpose-driven.</p>
  <p><bold>Reframing the Problem of Technology Integration in
  Education</bold></p>
  <p>Collectively, these findings challenge the dominant narrative that
  attributes teachers’ technology use to generational differences.
  Instead, the study demonstrates that:
  • Digital identity is dynamic rather than fixed
  • Technology use is contextually shaped rather than generationally
  determined • Variations in behavior are better explained by
  contextual, psychological, and purposive factors
  This reframing has important implications. It suggests that efforts to
  improve technological integration in education should shift away from
  generational assumptions and focus instead on:
  • Enhancing pedagogical self-efficacy
  • Designing context-sensitive training programs
  • Aligning technology use with instructional goals</p>
</disp-quote>
<p><bold>Summary of Theoretical Findings</bold></p>
<disp-quote>
  <p>In summary, the proposed conceptual model yields the following key
  theoretical insights:</p>
</disp-quote>
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          <disp-quote>
            <p>•
            •
            •</p>
          </disp-quote>
        </p></th>
        <th><p specific-use="wrapper">
          <disp-quote>
            <p>Digital identity is context-dependent rather than
            generationally fixed.</p>
            <p>Individuals exhibit hybrid digital behaviors across
            different contexts. Pedagogical settings represent a
            critical boundary shaping technology use.</p>
          </disp-quote>
        </p></th>
      </tr>
    </thead>
    <tbody>
    </tbody>
  </table>
</table-wrap>
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  <p>• The concept of pedagogical digital immigration explains
  discrepancies in teachers’ digital practices.</p>
  <p>• Individual factors and perceived purpose interact with context to
  determine digital behavior.</p>
  <p>These findings provide a comprehensive theoretical foundation for
  understanding teachers’ technology use and offer a basis for future
  empirical validation of the model.</p>
</disp-quote>
<p><bold>Discussion</bold></p>
<disp-quote>
  <p>The purpose of this study was to move beyond the dominant digital
  native–digital immigrant dichotomy and to propose a more nuanced
  framework for understanding teachers’ technology use. The findings of
  the conceptual analysis provide several important implications for
  theory, research, and practice.</p>
  <p><bold>Rethinking the Digital Native–Immigrant Dichotomy</bold></p>
  <p>One of the central contributions of this study is the critical
  reconsideration of the digital native–immigrant distinction. While the
  framework introduced by Marc Prensky (2001) has played a significant
  role in shaping educational discourse, the present analysis supports
  the growing body of literature questioning its validity and
  explanatory power (Bennett et al., 2008; Selwyn Neil, 2009).</p>
  <p>The findings suggest that categorizing individuals based on
  generational labels fails to capture the complexity of digital
  practices. In particular, the assumption that younger individuals
  inherently possess higher levels of digital competence is not
  consistently supported by empirical evidence. Instead, digital
  engagement appears to be shaped by a range of contextual and
  individual factors, which vary across situations.</p>
  <p>This study therefore aligns with critical perspectives that view
  the digital native construct not as a stable category, but as a
  discursive simplification that risks obscuring important differences
  within populations.</p>
  <p><bold>From Generational Categories to Contextual
  Identities</bold></p>
  <p>A key implication of the proposed model is the shift from
  generational categorization to contextual interpretation. The concept
  of contextual digital identity emphasizes that digital behavior is not
  fixed but dynamically shaped by the interaction between context,
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  <p>characteristics, and perceived purpose.</p>
  <p>This perspective offers a more flexible and explanatory framework
  compared to binary classifications. It accounts for the observed
  variability in teachers’ technology use and explains why individuals
  may demonstrate different levels of competence across different
  domains. In doing so, it challenges deterministic assumptions and
  highlights the importance of situational factors.</p>
  <p>Importantly, this shift also redefines how digital competence
  should be understood. Rather than treating it as a generalized skill,
  the findings suggest that digital competence is domain-specific and
  context-sensitive.</p>
  <p><bold>Explaining the Pedagogical Gap in Technology Use</bold></p>
  <p>One of the most significant insights of this study is the
  identification of a gap between teachers’ everyday digital practices
  and their pedagogical use of technology. This gap has often been
  interpreted as evidence of generational deficiency; however, the
  present analysis offers an alternative explanation.</p>
  <p>The concept of pedagogical digital immigration provides a useful
  lens for understanding this phenomenon. It suggests that teachers’
  difficulties in integrating technology into instruction are not
  primarily due to lack of exposure or age-related limitations, but
  rather to the unique demands of pedagogical contexts. These contexts
  require not only technical competence but also pedagogical alignment,
  classroom management, and curriculum integration.</p>
  <p>This interpretation is consistent with findings from recent
  research, including Stammers (2025), which highlights that the
  effective use of AI-enhanced teaching strategies depends on
  pedagogical adaptation rather than mere technological familiarity.
  Teachers who are proficient in everyday digital tools may still
  struggle to apply these tools meaningfully in instructional settings
  if they lack pedagogical support or confidence.</p>
  <p><bold>The Role of Psychological and Contextual Factors</bold></p>
  <p>The discussion also underscores the importance of psychological
  variables, particularly self-efficacy, shaping digital behavior.
  Consistent with broader literature on technology adoption, individuals
  with higher perceived competence are more likely to engage with
  digital tools in innovative ways. However, this study extends this
  understanding by showing that the</p>
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  <p>influence of such factors is mediated by context.</p>
  <p>For example, a teacher with high digital self-efficacy may
  confidently use technology in informal settings but exhibit hesitation
  in formal teaching environments where the stakes are higher. This
  indicates that psychological readiness alone is insufficient; it must
  be supported by appropriate contextual conditions.</p>
  <p>Furthermore, the role of perceived purpose highlights that
  motivation is a key driver of digital engagement. When technology use
  is aligned with meaningful goals—such as improving teaching
  effectiveness, individuals are more likely to adopt and sustain its
  use. Conversely, when technology is perceived as an external
  requirement, resistance or superficial adoption may occur.</p>
  <p><bold>Implications for Educational Practice and Policy</bold></p>
  <p>The findings of this study have important implications for
  educational practice and policy. First, they suggest that teacher
  training programs should move beyond generic technology skills and
  focus on context-specific applications, particularly within
  pedagogical settings. Developing teachers’ ability to integrate
  technology meaningfully into instruction requires not only technical
  training but also pedagogical support.</p>
  <p>Second, educational policies should avoid framing technology
  integration as a generational issue. Labeling teachers as digital
  immigrants may inadvertently reinforce deficit perspectives and
  overlook the structural and contextual challenges they face. Instead,
  policies should emphasize capacity building, ongoing professional
  development, and supportive institutional environments.</p>
  <p>Finally, the contextual perspective highlights the need for
  flexible and adaptive approaches to technology integration. Rather
  than prescribing uniform solutions, educational systems should
  recognize the diversity of teachers’ experiences and provide
  differentiated support based on their specific needs and contexts.</p>
</disp-quote>
<p><bold>Theoretical Contributions</bold></p>
<disp-quote>
  <p>From a theoretical standpoint, this study contributes to the
  literature by introducing a dynamic and multidimensional
  conceptualization of digital identity. The proposed model expands
  existing frameworks by integrating contextual, psychological, and
  purposive dimensions, thereby offering a more comprehensive
  understanding of digital behavior.</p>
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  <p>Additionally, the introduction of the concept of pedagogical
  digital immigration provides a novel lens for examining technology use
  in education. This concept bridges the gap between general digital
  competence and instructional practice, highlighting an area that has
  been relatively underexplored in literature.</p>
</disp-quote>
<p><bold>Limitations and Future Directions</bold></p>
<disp-quote>
  <p>While the study provides a strong conceptual foundation, it is not
  without limitations. As a theoretical work, it does not include
  empirical validation of the proposed model. Future research should
  therefore aim to test the model across different educational contexts
  and populations.</p>
  <p>Moreover, further studies could explore how contextual digital
  identity evolves over time and how it is influenced by factors such as
  institutional culture, access to resources, and professional
  development opportunities. Investigating these dynamics would provide
  deeper insights into the mechanisms underlying technology use in
  education.</p>
</disp-quote>
<p><bold>Conclusion of the Discussion</bold></p>
<disp-quote>
  <p>In conclusion, this study challenges the continued reliance on the
  digital native–immigrant dichotomy and proposes a more nuanced and
  context-sensitive framework. By conceptualizing digital identity as
  dynamic and situational, it offers a more accurate and meaningful way
  to understand teachers’ technology use. This shift not only advances
  theoretical discussions but also provides a foundation for more
  effective educational practices and policies.</p>
</disp-quote>
<p><bold>Conclusion and Recommendations</bold></p>
<p><bold>Conclusion</bold></p>
<disp-quote>
  <p>This study set out to critically examine the digital native–digital
  immigrant dichotomy and to propose an alternative framework for
  understanding teachers’ technology use in contemporary educational
  contexts. Drawing on a systematic and integrative review of the
  literature, the study introduced the concept of contextual digital
  identity and developed a conceptual model that explains digital
  behavior as the outcome of interactions among usage context,
  individual factors, and perceived purpose.</p>
  <p>The findings suggest that digital identity cannot be adequately
  explained through e-ISSN: 3023-8374 © 2024 International Society that
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  <p>generational categories alone. Instead, it emerges as a dynamic,
  context-dependent, and multidimensional construct. Teachers do not
  consistently align with fixed labels such as “digital native” or
  “digital immigrant”; rather, they demonstrate varying digital
  behaviors depending on the context in which technology is used. This
  variability highlights the limitations of binary classifications and
  calls for more flexible and explanatory frameworks.</p>
  <p>A key contribution of this study is the identification of the
  pedagogical gap between teachers’ everyday digital practices and their
  instructional use of technology. To conceptualize this phenomenon, the
  study introduced the notion of pedagogical digital immigration, which
  captures the context-specific challenges teachers face when
  integrating technology into teaching and learning processes. This
  concept shifts the focus from generational deficits to contextual and
  pedagogical factors, offering a more accurate explanation of
  technology integration issues in education.</p>
  <p>Overall, this study contributes to the theoretical advancement of
  educational technology research by challenging dominant assumptions
  and proposing a model that better reflects the complexity of digital
  behavior. By reframing digital identity as contextual rather than
  generational, it provides a foundation for more nuanced research and
  more effective educational practices.</p>
</disp-quote>
<p><bold>Recommendations</bold></p>
<disp-quote>
  <p><italic><bold>Implications for Teacher
  Education</bold></italic></p>
  <p>Teacher education programs should move beyond generic digital
  literacy training and focus on context-specific digital competencies,
  particularly in pedagogical settings. Developing teachers’ ability to
  integrate technology effectively requires not only technical skills
  but also pedagogical knowledge and confidence. Training programs
  should therefore:</p>
  <p>• Emphasize the pedagogical use of digital tools</p>
  <p>• Strengthen teachers’ digital self-efficacy in instructional
  contexts</p>
  <p>• Provide opportunities for practice-based learning and
  reflection</p>
  <p><italic><bold>Implications for Educational
  Policy</bold></italic></p>
  <p>Educational policies should avoid framing technology integration as
  a generational issue. The use of labels such as “digital immigrants”
  may oversimplify the problem and obscure the underlying contextual
  challenges. Instead, policy initiatives should:</p>
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  <p>• Focus on capacity building rather than categorization</p>
  <p>• Support continuous professional development</p>
  <p>• Create institutional environments that encourage experimentation
  and innovation</p>
  <p><italic><bold>Implications for Practice</bold></italic></p>
  <p>For practitioners, the findings highlight the importance of
  aligning technology use with instructional goals and classroom
  realities. Schools and educational institutions should:</p>
  <p>• Provide ongoing technical and pedagogical support</p>
  <p>• Encourage collaborative learning communities among teachers</p>
  <p>• Promote context-sensitive technology integration strategies</p>
  <p><italic><bold>Directions for Future Research</bold></italic></p>
  <p>Future research should aim to empirically test the proposed
  contextual digital identity model across diverse educational settings.
  Studies could:</p>
  <p>• Examine how digital identity varies across different contexts
  (e.g., social, pedagogical, academic)</p>
  <p>• Investigate the role of self-efficacy and perceived purpose in
  shaping digital behavior</p>
  <p>• Explore the concept of pedagogical digital immigration through
  qualitative and quantitative methods</p>
  <p>Longitudinal and mixed-methods studies may provide deeper insights
  into how teachers’ digital identities evolve over time and how they
  respond to changing technological environments, including emerging
  tools such as artificial intelligence.</p>
  <p><italic><bold>Final Remark</bold></italic></p>
  <p>In an era characterized by rapid technological change,
  understanding how teachers engage with digital tools requires moving
  beyond simplistic categorizations toward more nuanced and
  context-sensitive perspectives. The concept of contextual digital
  identity offers such a perspective, opening new avenues for research,
  policy, and practice. By recognizing the dynamic nature of digital
  behavior, educators and researchers can better support meaningful and
  sustainable technology integration in education.</p>
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  <p><bold>Conflict of Interest and Ethics Statement</bold></p>
  <p>The author declares no conflicts of interest. This research study
  is in accordance with research publication ethics.</p>
</disp-quote>
<p><bold>Authorship Contribution Statement</bold></p>
<disp-quote>
  <p><bold>Author 1:</bold> Research, Resources, Visualization,
  Software, Stylistic Analysis and Writing-original draft.</p>
</disp-quote>
<p><bold>References</bold></p>
<disp-quote>
  <p>Bennett, S., Maton, K., &amp; Kervin, L. (2008). The ‘digital
  natives’ debate: A critical review of the evidence. British Journal of
  Educational Technology, 39(5), 775–786.</p>
  <p>https://doi.org/10.1111/j.1467-8535.2007.00793.x
  Gilson, L. L., &amp; Goldberg, C. B. (2015). Editors’ comment: So,
  what is a conceptual paper?</p>
</disp-quote>
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    <thead>
      <tr>
        <th>Group</th>
        <th>&amp;</th>
        <th>Organization</th>
        <th>Management,</th>
        <th>40(2),</th>
        <th>127–130.</th>
      </tr>
    </thead>
    <tbody>
    </tbody>
  </table>
</table-wrap>
<disp-quote>
  <p>https://doi.org/10.1177/1059601115576425
  Prensky, M. (2001). Digital natives, digital immigrants. On the
  Horizon, 9(5), 1–6.</p>
  <p>https://doi.org/10.1108/10748120110424816
  Selwyn, N. (2009). The digital native—Myth and reality. Aslib
  Proceedings, 61(4), 364–379.</p>
  <p>https://doi.org/10.1108/00012530910973776
  Stammers, L. (2025). The pedagogical differences between digital
  natives and digital immigrants: The role of AI-enhanced teaching
  strategies. International Society That Learn Journal, 2(2), 299–328.
  https://doi.org/10.64782/istlj.2252299-328
  Torraco, R. J. (2005). Writing integrative literature reviews:
  Guidelines and examples.</p>
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      <tr>
        <th>Human</th>
        <th>Resource</th>
        <th>Development</th>
        <th>Review,</th>
        <th>4(3),</th>
        <th><p specific-use="wrapper">
          <disp-quote>
            <p>356–367.</p>
          </disp-quote>
        </p></th>
      </tr>
    </thead>
    <tbody>
    </tbody>
  </table>
</table-wrap>
<disp-quote>
  <p>https://doi.org/10.1177/1534484305278283.</p>
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  Journal</p>
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<p>143</p>
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