Relevance, Effort, and Perceived Quality: Language Learners’ Experiences with AI-Generated Contextually Personalized Learning Material

Draxler, Fiona; Schmidt, Albrecht; Chuang, Lewis L.

doi:10.1145/3563657.3596112

Cited by 7 publications

(5 citation statements)

References 59 publications

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“…Finally, we inquired about the frequency of AI use that our participants perform in their workplace, using a 4-item scale, adapted from Draxler et al (2023) , e.g., “I use Artificial Intelligence to find new perspectives to resolve conflict in the workplace” with their answers spanning between 1 = very rarely/almost never to 7 = very often . Cronbach’s α = 0.97.…”

Section: Methodsmentioning

confidence: 99%

“…Participants’ favorable attitudes towards using AI in the work context described in the scenario was assessed using two adapted items from Draxler et al (2023) (e.g., “How likely is AI to be helpful in your organization, as described in the scenario you read?”; 1 = very unlikely, 7 = very likely ). Cronbach’s α = 0.82.…”

Section: Methodsmentioning

confidence: 99%

“…Participants’ attitude towards AI for managing a specific issue (dispute with leader) was assessed with an adapted 2-item scale ( Draxler et al, 2023 ), e.g., “AI can be a positive force in managing this conflict with my supervisor, Bill.” (1 = strongly disagree, 7 = strongly agree ). Cronbach’s α = 0.97.…”

Section: Methodsmentioning

confidence: 99%

“…To assess a participant’s intention to use AI to resolve a specific issue (dispute with leader), a 2-item adapted scale was employed ( Draxler et al, 2023 ), e.g., “I would use AI to find creative solutions to this disagreement/conflict with my supervisor, Bill.” (1 = very unlikely, 7 = very likely ). Cronbach’s α = 0.96.…”

Section: Methodsmentioning

confidence: 99%

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Competitive organizational climate and artificial intelligence (AI) acceptance: the moderating role of leaders’ power construal

Fousiani,

Michelakis,

Minnigh

et al. 2024

Front. Psychol.

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IntroductionThe incorporation of Artificial Intelligence (AI) in organizations is pivotal to deal with work-related tasks and challenges effectively, yet little is known about the organizational factors that influence AI acceptance (i.e., employee favorable AI attitudes and AI use). To address this limitation in the literature and provide insight into the organizational antecedents influencing AI acceptance, this research investigated the relationship between competitive organizational climate and AI acceptance among employees. Moreover, given the critical role of a leader in employee attitude and behavior, we examined the moderating role of leaders’ power construal as responsibility or as opportunity in this relationship.MethodsStudy 1 was a three-wave field study among employees (N = 237, Mage = 38.28) working in various organizations in the UK. The study measured employees’ perception of a competitive organizational climate at Time 1, leaders’ power construal (as perceived by employees) at Time 2, and employee attitudes towards AI and their actual use of AI in the workplace at Times 2 and 3. Study 2 was a 2 (climate: highly competitive vs. low competitive) by 2 (power construal: responsibility vs. opportunity) experiment among employee participants (N = 150, Mage = 37.50).ResultsStudy 1 demonstrated a positive relationship between competitive climate and employee AI use over time. Furthermore, both studies revealed an interaction between competitive climate and leader’s power construal in the prediction of employee AI acceptance: In Study 1, competitive climate was negatively related to AI acceptance over time when leaders construed power as opportunity. In Study 2 competitive climate was positively related to AI acceptance when leaders construed power as responsibility rather than as opportunity.DiscussionThese results underscore the organizational factors that are required in order for employees to shape favorable attitudes towards AI and actually use AI at work. Importantly, this research expands the limited body of literature on AI integration in organizations.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Competitive organizational climate and artificial intelligence (AI) acceptance: the moderating role of leaders’ power construal

Fousiani,

Michelakis,

Minnigh

et al. 2024

Front. Psychol.

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“…It evaluates students' experiences using AI-generated personalised learning materials, highlighting the need to ensure successful personalization. (Draxler et al, 2023). AI systems can be considered personalised e-learning systems that aid in students' performance and knowledge to deliver customized content and enhance their learning capabilities.…”

Section: Literature Review 21 Comparative Analysis Of Mnemonic and No...mentioning

confidence: 99%

Fostering Vocabulary Memorization: Exploring the Impact of AI-Generated Mnemonic Keywords on Vocabulary Learning Through Anki Flashcards

Agnes,

Srinivasan

2024

WJEL

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This study delves into the integration of AI-generated mnemonic assistance in Anki flashcards, aiming to enhance vocabulary acquisition for intermediate-level English language learners who often grapple with vocabulary challenges. The research involved a sample of 60 students, split into two groups: the Mnemonic group, which used Anki flashcards with AI-generated mnemonics, and the Non-Mnemonic group, which relied on Anki flashcards without mnemonics. The findings revealed that both groups exhibited statistically significant vocabulary retention improvements after undergoing four repetition sessions. Significantly, the Mnemonic group displayed a more pronounced enhancement, underscoring the effectiveness of AI-generated mnemonic support. This research amalgamates insights from cognitive psychology, spaced repetition techniques, and AI-driven personalization to offer a comprehensive and adaptive approach to vocabulary acquisition. Its implications extend to educators, learners, and the ongoing evolution of language instruction, as it highlights the potential for AI to play a pivotal role in addressing the persistent challenges associated with vocabulary acquisition, especially among intermediate-level English language learners.

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Assessing EFL learners’ attitudes on Generative Artificial Intelligence: Development and validation of Generative Artificial Intelligence attitude scale for EFL learners (GenAIAS)

Orhan,

Aydın Yıldız,

Çınar Yağcı

2024

Journal of Research on Technology in Education

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Relevance, Effort, and Perceived Quality: Language Learners’ Experiences with AI-Generated Contextually Personalized Learning Material

Cited by 7 publications

References 59 publications

Competitive organizational climate and artificial intelligence (AI) acceptance: the moderating role of leaders’ power construal

Competitive organizational climate and artificial intelligence (AI) acceptance: the moderating role of leaders’ power construal

Fostering Vocabulary Memorization: Exploring the Impact of AI-Generated Mnemonic Keywords on Vocabulary Learning Through Anki Flashcards

Assessing EFL learners’ attitudes on Generative Artificial Intelligence: Development and validation of Generative Artificial Intelligence attitude scale for EFL learners (GenAIAS)

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