How ChatGPT adoption stimulates digital entrepreneurship: A stimulus-organism-response perspective

The International Journal of Management Education, Год журнала: 2024, Номер 22(3), С. 101019 - 101019

Опубликована: Июль 3, 2024

Язык: Английский

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Generative AI in Higher Education: Balancing Innovation and Integrity

British Journal of Biomedical Science, Год журнала: 2025, Номер 81

Опубликована: Янв. 9, 2025

Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores dual-edged nature GenAI's integration into educational practices, focusing on both its potential to enhance student engagement outcomes significant challenges it poses academic integrity equity. Through a comprehensive review current literature, we examine implications GenAI highlighting need robust ethical frameworks guide use. Our analysis framed within pedagogical theories, including social constructivism competency-based learning, importance balancing human expertise AI capabilities. We also address broader concerns associated with GenAI, such as risks bias, digital divide, environmental impact technologies. argues that while can provide substantial benefits in terms automation efficiency, must be managed care avoid undermining authenticity work exacerbating existing inequalities. Finally, propose set recommendations institutions, developing literacy programmes, revising designs incorporate critical thinking creativity, establishing transparent policies ensure fairness accountability By fostering responsible approach education harness safeguarding core values inclusive education.

Язык: Английский

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The Impact of Prompt Engineering and a Generative AI-Driven Tool on Autonomous Learning: A Case Study

Education Sciences, Год журнала: 2025, Номер 15(2), С. 199 - 199

Опубликована: Фев. 7, 2025

This study evaluates “I Learn with Prompt Engineering”, a self-paced, self-regulated elective course designed to equip university students skills in prompt engineering effectively utilize large language models (LLMs), foster self-directed learning, and enhance academic English proficiency through generative AI applications. By integrating concepts tools, the supports autonomous learning addresses critical skill gaps market-ready capabilities. The also examines EnSmart, an AI-driven tool powered by GPT-4 integrated into Canvas LMS, which automates test content generation grading delivers real-time, human-like feedback. Performance evaluation, structured questionnaires, surveys were used evaluate course’s impact on prompting skills, proficiency, overall experiences. Results demonstrated significant improvements accessible patterns like “Persona” proving highly effective, while advanced such as “Flipped Interaction” posed challenges. Gains most notable among lower initial though engagement practice time varied. Students valued EnSmart’s intuitive integration accuracy but identified limitations question diversity adaptability. high final success rate that proper design (taking consideration Panadero’s four dimensions of learning) can facilitate successful learning. findings highlight AI’s potential task automation, emphasizing necessity human oversight for ethical effective implementation education.

Язык: Английский

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What makes for digital entrepreneurs? The role of AI-related drivers for nascent digital start-up activities

European Journal of Innovation Management, Год журнала: 2024, Номер unknown

Опубликована: Июнь 11, 2024

Purpose Applying the Stimulus–Organism–Response (SOR) model, this study aims to explore how AI-driven stimuli (e.g. ChatGPT adoption in entrepreneurship and perceived AI competencies) stimulate individuals’ cognitive organisms digital entrepreneurial opportunity exploration exploitation), these individually, congruently, incongruently trigger their behavioral responses nascent start-up activities). Design/methodology/approach Utilizing a sample of 1326 MBA students Vietnam with stratified sampling approach, multiple linear regression polynomial response surface analysis were used test hypotheses. Findings The findings reveal that competencies have positive significant impact on exploitation, which turn, positively affects activities. Moreover, also reports exploitation can be congruently combined each other effects Practical implications Some valuable recommendations based been provided for practitioners policymakers. Originality/value contributes academic landscape by validating SOR model within context entrepreneurship. It emphasizes sequential processes stimulus, responses, outcomes, shedding light nuanced landscape.

Язык: Английский

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Leveraging the Potential of Large Language Models in Education Through Playful and Game-Based Learning

Educational Psychology Review, Год журнала: 2024, Номер 36(1)

Опубликована: Фев. 27, 2024

Abstract This perspective piece explores the transformative potential and associated challenges of large language models (LLMs) in education how those might be addressed utilizing playful game-based learning. While providing many opportunities, stochastic elements incorporated present LLMs process text, requires domain expertise for a critical evaluation responsible use generated output. Yet, due to their low opportunity cost, may pose some risk over-reliance, potentially unintendedly limiting development such expertise. Education is thus faced with challenge preserving reliable while not losing out on emergent opportunities. To address this challenge, we first propose approach focusing skill practice human judgment. Drawing from learning research, then go beyond account by reflecting well-designed games foster willingness practice, nurturing domain-specific We finally give new pedagogy AI utilize generating gamifying materials, leveraging full human-AI interaction education.

Язык: Английский

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Exploring ChatGPT literacy in language education: A global perspective and comprehensive approach

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 7, С. 100278 - 100278

Опубликована: Авг. 9, 2024

With the widespread use of Generative AI in education, effectively utilizing and integrating it into teaching have become key focal points challenges education. Different subjects target audiences require varied norms strategies for implementing AI, such as ChatGPT. These differences directly impact educational integration various contexts. To address these disparities establish common ground, we propose concept ChatGPT literacy to bridge research gaps. In this study, tailor specifically language teachers, aiming delineate essential competencies needed proficiently ethically a learning tool. We theoretical framework encompassing six fundamental constructs: benefits, limitations, prompts, evaluation (of responses), assessment (assisted by ChatGPT), ethics, comprehensively conceptualise evaluate literacy. Drawing on both quantitative qualitative survey data from 492 teachers across 41 countries, validate proposed examining teachers' practices associated with usage. Our analysis Likert-scale data, item confirmatory techniques, confirms effectiveness six-construct defining addition, collected through open questions conducted thematic analysis, demonstrating that has been integrated throughout instructional cycle, material preparation formative summative phases. findings significant implications range stakeholders, including educators, learners, technology developers, policymakers, providing valuable insights inform decisions regarding Ultimately, our study equips relevant stakeholders necessary responsibly exploiting ChatGPT's potential other subject areas.

Язык: Английский

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Whether ChatGPT adoption inspires higher education students’ digital entrepreneurial intention? An integrated model of the SCCT and the TPB

International Journal of Innovation Science, Год журнала: 2024, Номер unknown

Опубликована: Июнь 10, 2024

Purpose This study aims to integrate the Social Cognitive Career Theory with of Planned Behavior unravel intricate dynamics how engaging ChatGPT affects individuals’ digital entrepreneurial intention, underlying serial mediation mechanism cognitive and reasoned career process. Design/methodology/approach research use a cross-sectional design, drawing on sample 604 higher education students from six universities in Vietnam. Multiple regression analyses were conducted test formulated hypotheses after assessing reliability validity scales through Cronbach’s alpha confirmatory factor analysis. Findings The results indicate that adoption significantly increases perceived AI competencies, opportunity recognition self-efficacy. Digital self-efficacy was found have positive impact attitudes toward entrepreneurship, which, turn, fosters intention. thus poses indirect impacts intention sequential pathways enhanced attitudes. Practical implications study’s findings provide valuable recommendations for entrepreneurs, institutions policymakers. Originality/value contributes entrepreneurship literature by integrating two prominent theoretical frameworks elucidate intentions. model expands understanding complex processes involved, providing novel perspective role entrepreneurship.

Язык: Английский

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Prompt engineering in higher education: a systematic review to help inform curricula

International Journal of Educational Technology in Higher Education, Год журнала: 2025, Номер 22(1)

Опубликована: Фев. 9, 2025

Abstract This paper presents a systematic review of the role prompt engineering during interactions with Generative Artificial Intelligence (GenAI) in Higher Education (HE) to discover potential methods improving educational outcomes. Drawing on comprehensive search academic databases and relevant literature, key trends, including multiple framework designs, are presented explored role, relevance, applicability purposefully improve GenAI-generated responses higher education contexts. Multiple experiments using variety frameworks compared, contrasted discussed. Analysis reveals that well-designed prompts have transform GenAI teaching learning. Further findings show it is important develop teach pragmatic skills AI interaction, meaningful engineering, which best managed through for creating evaluating applications aligned pre-determined contextual goals. The outlines some concepts educators should be aware when incorporating into their practices, students necessary successful interaction.

Язык: Английский

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Artificial Intelligence Chatbot as a Mathematics Curriculum Developer: Discovering Preservice Teachers’ Overconfidence in ChatGPT

Deleted Journal, Год журнала: 2024, Номер 7(1)

Опубликована: Июнь 3, 2024

Instructors in many colleges and universities are responsible for supporting their preservice teachers' understanding of mathematics curriculum to best serve elementary students' needs. As such, teachers taught how critically analyze materials. However, with the advent technologies like ChatGPT, utilizing artificial intelligence (AI) tools new ways collate construct mathematical curricula. now, little is known about adapt these resources classroom. an AI chatbot, can create a based on user questions, which then classrooms. Although this chatbot produce quick response, researchers have identified that ChatGPT biased responses inaccurate data. This study evaluates quality created by ChatGPT's responses, adapted those resources, perceptions using ChatGPT. Overall, tended high levels cognitive demand age-inappropriate text students. Despite formally teaching be critical majority adaptations merely changed visual appeal alone, demonstrating some overconfidence abilities tools. implies should cautious specific prompt engineering techniques innovative tasks.

Язык: Английский

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Opening a career door!: The role of ChatGPT adoption in digital entrepreneurial opportunity recognition and exploitation

International Journal of Information Management Data Insights, Год журнала: 2025, Номер 5(1), С. 100326 - 100326

Опубликована: Фев. 3, 2025

Язык: Английский

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