Emerald Publishing Limited eBooks, Год журнала: 2024, Номер unknown, С. 111 - 127
Опубликована: Ноя. 13, 2024
Язык: Английский
Advances in business information systems and analytics book series, Год журнала: 2024, Номер unknown, С. 1 - 26
Опубликована: Июнь 30, 2024
This chapter explores artificial intelligence (AI) and its potential to revolutionize the field of education by enhancing teaching learning. It further highlights ways in which AI technologies can support educators students, including content creation encompassing voice video, task automation, provision personalized learning through adaptive platforms. Potential benefits leveraging technology include improved learner engagement, automated administrative processes, more robust data-driven insights. As advances, a unique opportunity emerges for schools prepare use classroom redefine traditional methodologies. Nonetheless, balancing innovation with ethical considerations includes considering issues transparency privacy algorithms as well mitigating biases data.
Язык: Английский
Процитировано
16
Heliyon, Год журнала: 2024, Номер unknown, С. e37238 - e37238
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
12
International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 12
Опубликована: Апрель 15, 2024
The integration of Artificial Intelligence (AI) technologies in the field education has prompted significant advancements, particularly domain assessment and grading. This research delves into potential large language models, specifically OpenAI's ChatGPT, simulating human-like interactions accurately grading student assessments. To accomplish its objectives, study compares performance ChatGPT with that human correctors a sample second-year university students. findings indicate only moderate correlation between grades assigned by those correctors, suggesting nuanced capabilities providing comprehensive feedback streamlining process. While highlights benefits AI education, it also addresses risks, including exacerbation educational inequalities limitations associated AI's automated nature. contributes to ongoing discourse surrounding role emphasizing importance striking balance instruction for optimal outcomes.
Язык: Английский
Процитировано
11
Education Sciences, Год журнала: 2025, Номер 15(3), С. 329 - 329
Опубликована: Март 7, 2025
The integration of generative artificial intelligence (GenAI) in higher education has opened new avenues for enhancing academic writing through student–chatbot interactions. While initial research explored this potential, deeper insights into the nature these interactions are needed. This study characterizes graduate students’ with AI chatbots writing, focusing on types assistance they sought and their communication style tone patterns. To achieve this, individual online sessions were conducted 43 students, chatbot analyzed using qualitative quantitative methods. analysis identified seven distinct by students. most frequent requests involved content generation expansion, followed source verification, then concept clarification definitions. Students also support consultation, text refinement formatting, and, less frequently, rephrasing modifying translation assistance. was “requesting,” marked direct appeals assistance, “questioning” “declarative” styles. In terms tone, “neutral” “praising” dominated interactions, reflecting engagement appreciation responses, while “reprimanding” tones relatively low. These findings highlight need tailored interventions that encourage students to seek a broader more in-depth range tasks.
Язык: Английский
Процитировано
1
ReCALL, Год журнала: 2024, Номер unknown, С. 1 - 18
Опубликована: Май 27, 2024
Abstract In this qualitative systematic meta-synthesis study, 57 studies from the international literature published between 2010 and 2024 on use of voice-based artificially intelligent chatbots in English language learning were analyzed. The present study aimed to explore most recent topic by investigating theoretical frameworks, methodological technological properties, user reports chatbot usage experience, pedagogical implementations. It sought identify research implementation trends for via data analysis methods. Based reviewed studies, paper presents data-based implications that align with latest AI trends.
Язык: Английский
Процитировано
6
Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100407 - 100407
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0
Problems and Perspectives in Management, Год журнала: 2024, Номер 22(2), С. 197 - 212
Опубликована: Май 7, 2024
The relevance of the study is due to growing need use chatbots optimize business processes. purpose form a theoretical basis and practical tools for increasing efficiency using in involves substantiating foundations forming conditional chatbot profile an optimization system. toolkit includes components that depend on complexity tasks, type services, specifics customers, financial conditions, other features result formation system chatbot, which would allow its key are substantiated: technologies used, types users, optimal areas application, application algorithms, basic tools, limitations application. By varying parameters components, one can choose their values increase It advisable specified processes when determining demand products sales. allows reduce time complete processes, personnel costs, resources related implementation. AcknowledgmentThe paper was prepared framework research projects “Fundamental grounds Ukraine’s transition digital economy based implementation Industries 3.0; 4.0; 5.0” (No. 0124U000576) “Digital transformations ensure civil protection post-war economic recovery face environmental social challenges” 0124U000549).
Язык: Английский
Процитировано
4
Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 7, С. 100262 - 100262
Опубликована: Июнь 28, 2024
The rise of artificial intelligence (AI) technologies has been notable in supporting English as an Additional Language (EAL) learners, particularly offering interactive assessments. AI-driven dialogue systems that produce culturally relevant humor and empathy, bridging the native language (L1) target (L2), have employed to engage EAL learners more effectively boost their learning results. However, there's a noticeable gap research concerning fusion humor, intercultural dimensions learning. Intercultural encompass acquiring crucial knowledge, communication skills, values essential for meaningful interactions across cultures. This case study examines effectiveness AI system, termed Multidimensional Approach Culture, Humor, Empathy Bot (MACHE-Bot), elevating experience its potential enhance proficiency. Using convenience sampling, 37 individuals were selected from group on Facebook. Following two-week pilot study, semi-structured interviews conducted. results revealed MACHE-Bot adeptly initiated reciprocated with cultural nuances manner well-received by participants. Additionally, identified five pivotal factors MACHE-Bot: (1) dimensions, which include humorous interaction empathetic support; (2) user trust comprising both affective cognitive elements; (3) anthropomorphism; (4) reciprocal self-disclosure; (5) higher engagement motivation. These collectively contribute creating engaging, relatable, supportive environment, facilitating natural process, fostering deeper learner-bot connection, thereby potentially enhancing motivation investment process.
Язык: Английский
Процитировано
4
Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 36 - 54
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
4
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0