Teachers’ AI-TPACK: Exploring the Relationship between Knowledge Elements

Sustainability, Journal Year: 2024, Volume and Issue: 16(3), P. 978 - 978

Published: Jan. 23, 2024

The profound impact of artificial intelligence (AI) on the modes teaching and learning necessitates a reexamination interrelationships among technology, pedagogy, subject matter. Given this context, we endeavor to construct framework for integrating Technological Pedagogical Content Knowledge Artificial Intelligence Technology (Artificial Intelligence—Technological Knowledge, AI-TPACK) aimed at elucidating complex interrelations synergistic effects AI pedagogical methods, subject-specific content in field education. AI-TPACK comprises seven components: (PK), (CK), AI-Technological (AI-TK), (PCK), (AI-TCK), (AI-TPK), itself. We developed an effective structural equation modeling (SEM) approach explore relationships teachers’ knowledge elements through utilization exploratory factor analysis (EFA) confirmatory (CFA). result showed that six all serve as predictive factors variables. However, different varying levels explanatory power relation AI-TPACK. influence core (PK, CK, AI-TK) is indirect, mediated by composite (PCK, AI-TCK, AI-TPK), each playing unique roles. Non-technical have significantly lower teachers compared related technology. Notably, (C) diminishes PCK AI-TCK. This study investigates within its constituent elements. serves comprehensive guide large-scale assessment AI-TPACK, nuanced comprehension interplay contributes deeper understanding generative mechanisms underlying Such insights bear significant implications sustainable development era intelligence.

Language: Английский

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The Impact of Artificial Intelligence Tools on Academic Writing Instruction in Higher Education: A Systematic Review

Arab World English Journal, Journal Year: 2024, Volume and Issue: 1(1), P. 26 - 55

Published: April 22, 2024

With the growth of Artificial Intelligence technologies, there is interest in studying their potential impact on university academic writing courses. This study examined whether AI tools are replacing these courses by exploring how they effectively replace traditional instruction and this shift’s benefits drawbacks. The researcher reviewed existing literature integrating into instruction. findings provide insights to educators navigating integration curricula while maintaining instructional quality integrity standards. By synthesizing latest research, can inform decisions about appropriate use teaching essential skills. Increased has sparked debate role Universities like Stanford have updated policies around tool usage integrity. University California issued guidance acknowledging prevalence generative campuses. Middlebury College banned classroom ChatGPT over concerns it could impede critical thinking skill development. Results show that helps with grammar style, questions remain its creativity thinking. However, not These teach thinking, citation, argumentation, creativity, originality, ethics, which lacks. Academic offer a complete learning experience. may improve but unlikely soon. A balanced approach support preserving core elements education appears most effective for preparing students diverse challenges.

Language: Английский

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Exploring the Perceptions and Continuance Intention of AI-Based Text-to-Image Technology in Supporting Design Ideation

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Feb. 7, 2024

Artificial intelligence (AI)-based text-to-image technologies have recently gained considerable attention, but their specific applications for educational purposes remain relatively unexplored. This research aims to bridge this gap by developing a theoretical model that combines constructs from the Expectation Confirmation Model (ECM) with Technology Acceptance (TAM) understand sustainable use of AI-driven visual synthesis in design ideation. Data was collected via survey involving 106 vocational university students who were enrolled user interface (UI) course test proposed model. The hypotheses analysis demonstrated confirmation positively influenced perceived usefulness, ease use, and satisfaction. Furthermore, usefulness had positive impact on Students' perceptions utility, usability, satisfaction also affected intention continue using technology. However, hypothesis proposing relationship between did not find support. A moderation revealed novice susceptible effort expectancy, negatively affecting These findings offer valuable practical implications developers, designers, instructors interested utilizing UI design.

Language: Английский

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Model of AI acceptance in higher education: arguing teaching staff and students perspectives

International Journal of Information and Learning Technology, Journal Year: 2024, Volume and Issue: 41(4), P. 371 - 393

Published: July 11, 2024

Purpose Artificial intelligence (AI) is constantly evolving and poised to significantly transform the world, affecting nearly every sector aspect of society. As AI continues evolve, it expected create a more dynamic, efficient personalized education system, supporting lifelong learning adapting needs pace each student. In this research, we focus on testing model acceptance in higher (HE) through human interaction-based factors including attitudes, competencies openness experience. Perceived benefits were our expectation enhance HE. Design/methodology/approach To test model, collected data from Arab HE institutions by spreading an online questionnaire. The sample consisted 1,152 teaching staff students region, which selected randomly. Partial least squares structural equation modeling (PLS-SEM) was employed determine interrelated dependence relationships among variables. Furthermore, processing analysis conducted ensure reliability validity questionnaires, multicollinearity factor loading, items tested one time their after translation into language. Findings Results reveal that adopted attitude, digital competency experience have positive significant relationship with both perceived region. results also demonstrate indirect impact existence benefits, important validation model. Originality/value research contributes theory providing evidence generative applications continue expand change, way accept interact them will be different. This could authorities facilitate institutions.

Language: Английский

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Unlocking the power of AI in education: students’ intentions and AI tool use driving learning success in an emerging economy

On the Horizon The International Journal of Learning Futures, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 25, 2025

Purpose This study aims to evaluate students’ intention and actual use (AU) of artificial intelligence (AI) tools’ discover how the power AI influences learning academic success. Design/methodology/approach paper used unified theory acceptance technology (UTAUT) develop a structural equation model (SEM) convenience sampling measure 304 five-point Likert scale responses. The was tested with AMOS-24 SPSS-25, found that boosted experiences explain importance skills knowledge. Findings Performance expectancy (PE), effort (EE), social influence facilitating condition directly indirectly affect AU via intent (IU), while subjective norms determining have no substantial influence. Attitude (ATT) moderates PE EE, although data show ATT has effect on EE. Originality/value These insights may help student understand benefit them what factors their utilization. When correctly designed executed, UTAUT provides an appropriate integrated theoretical framework for robust statistical analysis like SEM.

Language: Английский

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What motivates academics in Egypt toward generative AI tools? An integrated model of TAM, SCT, UTAUT2, perceived ethics, and academic integrity

Information Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

In recent years, the adoption of AI technologies in academia has increased, prompting a need to explain factors driving scholars adopt or plan research routines. This study integrates three models into one integrated model: TAM, UTAUT, and SCT. These are combined understand how GenAI self-efficacy, perceived ethics, academic integrity, social influence, facilitating conditions, risks, ease use, usefulness influenced participants’ intention research. Following this, data were collected from Egyptian academics linked universities. There 742 responses this question. Data analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The paper's results showed that ethics significantly related perceptions usefulness, use GenAI. Facilitating conditions have negative effect on risk does not affect significantly. Notably, result found integrity GenAI's usage utility. guide illustrates universities must take proactive steps influence will be used reinforces importance these tools within an ethical lens. paper emphasizes balance generative practices. It examines role attitudes toward AI. They represent step forward our understanding induce adoption–in case, context, specifically Egypt. Additionally, it places sound emphasis technology can beneficial whilst advocating for sensible approach application, which includes principles.

Language: Английский

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Examining awareness, social influence, and perceived enjoyment in the TAM framework as determinants of ChatGPT. Personalization as a moderator

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2024, Volume and Issue: 10(3), P. 100327 - 100327

Published: June 19, 2024

Using a modified version of TAM, this study investigates the factors that impact ChatGPT usage intentions among college students, with personalization acting as moderator. A structured questionnaire was designed for data collection part quantitative procedure. Smart PLS 4 utilized analysis. The results showed social influence had no effect on predicted perceived usefulness and ease use, but awareness enjoyment did. willingness to utilize based how beneficial easy it seen be. association between intent use not affected by personalization, however, relationship intention was. suggested several recommendations colleges universities regarding AI tools' incorporation in education.

Language: Английский

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Predictors of Medical Students’ Adoption of Emergency Medicine Virtual Simulation Platforms

IEEE Access, Journal Year: 2025, Volume and Issue: 13, P. 19237 - 19247

Published: Jan. 1, 2025

Language: Английский

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Determining AI-Based Learning Adoption Model for Students in Entrepreneurship Education: A Design Thinking Approach

Journal of Consumer Sciences, Journal Year: 2025, Volume and Issue: 10(1), P. 27 - 58

Published: Jan. 31, 2025

Background: Student interest in entrepreneurial pursuits remains low, despite the significant contributions of entrepreneurship to economic growth. Purpose: This study investigates factors influencing IPB students' adopting AI-based learning through lens design thinking, emphasizing role communication methods and their impact on motivation attitudes. Methods: adopts a mixed-method design, combining quantitative qualitative approaches. Quantitative data were collected via an online survey from 173 students, with 166 valid responses after cleaning. analysis was conducted using descriptive statistics (SPSS 25) Partial Least Squares Structural Equation Modeling (PLS-SEM). The aspect involved SCAMPER within thinking framework explore AI integration education. PICOS applied adoption higher education comprehensively. approach provides holistic understanding educational contexts. Findings: Results indicate that significantly affects intentions engage systems, positively impacting attitudes toward AI. Perceived ease use also influences perceived usefulness, although usefulness does not directly motivation. Additionally, interpersonal interactions mass media influence while awareness have effect. Conclusion: Expanding requires strategic communication, mainly focusing Design Thinking’s empathize phase understand student challenges. By iteratively proposing tools prototype phase, institutions can develop user-friendly, engaging solutions tailored needs, fostering engagement learning. Research implication: These insights suggest targeted strategies, including principles, support broader adoption, enhance students’ experiences, foster new generation tech-savvy entrepreneurs.

Language: Английский

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Investigating the factors influencing the adoption and use of artificial intelligence applications among Pakistani university research scholars: An empirical study

Information Development, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

The widespread use and adoption of Artificial Intelligence (AI) applications among university students has drastically transformed the educational landscape. Recognizing importance this transformation, study aims to investigate factors affecting AI Pakistani research scholars. This used an extended version unified theory acceptance technology model innovative resistance theory. data were collected from 235 scholars through a questionnaire. Descriptive statistics multiple linear regression test analyze data. found that various for purposes such as ChatGPT, Grammarly, ChatPDF, SciSpace. personal innovativeness, performance expectancy, social influence, trust significantly influence scholars’ behavioral intention applications. In contrast, impact effort facilitating conditions, innovation on students’ tools was statistically insignificant. findings offer actionable insights educators, policymakers, developers aiming enhance in higher education.

Language: Английский

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