Transforming Teaching Learning With Chatbots in Higher Education: Quest, Opportunities and Challenges for Quality Enhancement DOI
Sohail Ahmad,

Afaq Ahmed,

Sadia Muzaffar Bhutta

et al.

Emerald Publishing Limited eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 111 - 127

Published: Nov. 13, 2024

Language: Английский

Artificial Intelligence in Education DOI
Julie A. Delello, Jennifer Bailey,

Arlene Garcia-Lopez

et al.

Advances in business information systems and analytics book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: June 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.

Language: Английский

Citations

16

A Review of Promises and Challenges of AI-Based Chatbots in Language Education through the Lens of Learner Emotions DOI Creative Commons
Yuehai Xiao,

Tianyu Zhang,

Jingyi He

et al.

Heliyon, Journal Year: 2024, Volume and Issue: unknown, P. e37238 - e37238

Published: Sept. 1, 2024

Language: Английский

Citations

12

Transforming Educational Assessment: Insights Into the Use of ChatGPT and Large Language Models in Grading DOI
Chokri Kooli, Nadia Yusuf

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: April 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.

Language: Английский

Citations

11

From Prompt to Polished: Exploring Student–Chatbot Interactions for Academic Writing Assistance DOI Creative Commons
Maya Usher, Meital Amzalag

Education Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 329 - 329

Published: March 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.

Language: Английский

Citations

1

The use of artificially intelligent chatbots in English language learning: A systematic meta-synthesis study of articles published between 2010 and 2024 DOI Creative Commons
Fatma Koç, Perihan Savaş

ReCALL, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: May 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.

Language: Английский

Citations

6

Implementing Generative AI (GenAI) in Higher Education: A Systematic Review of Case Studies DOI Creative Commons
Marina Belkina, Scott Daniel, Sasha Nikolic

et al.

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100407 - 100407

Published: April 1, 2025

Language: Английский

Citations

0

Prospects of business process management based on chatbots DOI Creative Commons
Leonid Hryhorovych Melnyk, Lyudmila Kalinichenko, Yuliia Rozghon

et al.

Problems and Perspectives in Management, Journal Year: 2024, Volume and Issue: 22(2), P. 197 - 212

Published: May 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).

Language: Английский

Citations

4

Evaluating the AI dialogue System's intercultural, humorous, and empathetic dimensions in English language learning: A case study DOI Creative Commons

Chunpeng Zhai,

Santoso Wibowo, Lily D. Li

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100262 - 100262

Published: June 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.

Language: Английский

Citations

4

Advancing Sustainable Learning by Boosting Student Self-regulated Learning and Feedback Through AI-Driven Personalized in EFL Education DOI

Muthmainnah Muthmainnah,

Luís Cardoso,

Yasir Ahmed Mohammed Ridha Alsbbagh

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 36 - 54

Published: Jan. 1, 2024

Language: Английский

Citations

4

Human Sensitivity to Chatbot Emotion: Effects on Perceptions of Collective Identity and Competence DOI
Lyn M. Van Swol, Aimée A. Kane, Donghan Fu

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0