A Meta-Analysis and Systematic Review of the Effect of Chatbot Technology Use in Sustainable Education

Sustainability, Год журнала: 2023, Номер 15(4), С. 2940 - 2940

Опубликована: Фев. 6, 2023

The development of artificial intelligence in recent years has promoted the use chatbot technology sustainable education. Many studies examined effect chatbots on learning outcomes. However, scant summarized effectiveness aim study is to investigate chatbot-assisted various components and how different moderator variables influenced effectiveness. This study, through a meta-analysis, reviewed 32 empirical with 2201 participants published between 2010 2022. results showed that exerted medium-to-high overall outcomes regardless variables, i.e., intervention duration, roles, content. In terms components, could significantly improve explicit reasoning, achievement, knowledge retention, interest despite negative findings critical thinking, engagement, motivation. Future research expand by including components.

Язык: Английский

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Enhancing Student Engagement: Harnessing “AIED”’s Power in Hybrid Education—A Review Analysis

Education Sciences, Год журнала: 2023, Номер 13(7), С. 632 - 632

Опубликована: Июнь 21, 2023

Hybrid learning is a complex combination of face-to-face and online learning. This model combines the use multimedia materials with traditional classroom work. Virtual hybrid employed alongside methods. That aims to investigate using Artificial Intelligence (AI) increase student engagement in settings. Educators are confronted contemporary issues maintaining their students’ interest motivation as popularity education continues grow, where many educational institutions adopting this due its flexibility, student-teacher engagement, peer-to-peer interaction. AI will help students communicate, collaborate, receive real-time feedback, all which challenges education. article examines advantages disadvantages optimal approaches for incorporating The research findings suggest that can revolutionize education, it enhances both instructor autonomy while fostering more engaging interactive environment.

Язык: Английский

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A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university

Computers and Education Artificial Intelligence, Год журнала: 2023, Номер 4, С. 100134 - 100134

Опубликована: Янв. 1, 2023

Previous studies demonstrate that the use of artificial intelligence (AI) dialogue systems for English as a Foreign Language (EFL) education has effectively improved university students' reading, writing, and listening abilities. However, there are limited systematic reviews focused on evidence-based interactional competence EFL students. This study aims to examine AI enhance competence. Through PRISMA process, this identified 28 articles published between January 2013 August 2022 in journals conferences from most popular databases, including Google Scholar, ProQuest, IEEE, ScienceDirect, Web Science. The review six dimensions 25 sub-dimensions influence application learning. include technological integration, task designs, engagement, learning objectives, limitations, novelty effect. Gaps (1) components debate problem-solving skills EF acquisition seemed be overlooked system design, (2) importance embedding culture, humor empathy functions were not taken into consideration system. finds development implementation an is still its infancy stage. Future research should emphasize meaning-based communication, intelligibility language competency, debate, education.

Язык: Английский

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Educational Design Principles of Using AI Chatbot That Supports Self-Regulated Learning in Education: Goal Setting, Feedback, and Personalization

Sustainability, Год журнала: 2023, Номер 15(17), С. 12921 - 12921

Опубликована: Авг. 27, 2023

The invention of ChatGPT and generative AI technologies presents educators with significant challenges, as concerns arise regarding students potentially exploiting these tools unethically, misrepresenting their work, or gaining academic merits without active participation in the learning process. To effectively navigate this shift, it is crucial to embrace a contemporary educational trend establish pedagogical principles for properly utilizing emerging like promote self-regulation. Rather than suppressing AI-driven tools, should foster collaborations among stakeholders, including educators, instructional designers, researchers, developers. This paper proposes three key integrating chatbots classrooms, informed by Zimmerman’s Self-Regulated Learning (SRL) framework Judgment (JOL). We argue that current conceptualization education inadequate, so we advocate incorporation goal setting (prompting), self-assessment feedback, personalization essential principles. First, propose teaching prompting important developing students’ SRL. Second, configuring reverse chatbot’s capability will help guide SRL monitoring understanding. Third, data-driven mechanism enables an chatbot provide analytics helps learners reflect on develop strategies. By bringing JOL, aim guidelines implementing contexts, focus promoting self-regulation higher through AI-assisted pedagogy design.

Язык: Английский

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Exploring the Determinants of Artificial Intelligence (AI) Literacy: Digital Divide, Computational Thinking, Cognitive Absorption

Telematics and Informatics, Год журнала: 2023, Номер 83, С. 102026 - 102026

Опубликована: Июль 26, 2023

To effectively utilize artificial intelligence (AI)-based technologies such as ChatGPT and realize their novel ethical issues, individuals must have a variety of knowledge skills about AI. Such led to the emergence AI literacy. Despite importance literacy in everyday life, little is known its determinants. better understand determinants literacy, we attempted build research model relying on previous different theoretical frameworks. The incorporated digital divide, cognitive absorption, computational thinking. As major finding from current study, thinking was found be significant determinant which facilitate using, recognizing, evaluating AI-based technologies. Moreover, out that with physical access information communication (ICTs) are more expected use recognize Also, motivation using ICTs enable evaluate outcomes findings also showed convenient contributes deep involvement use. Further, higher likely pleasant experience after these

Язык: Английский

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Investigating the Use of an Artificial Intelligence Chatbot with General Chemistry Exam Questions

Journal of Chemical Education, Год журнала: 2023, Номер 100(5), С. 1905 - 1916

Опубликована: Апрель 24, 2023

The artificial intelligence chatbot ChatGPT was used to answer questions from final exams administered in two general chemistry courses, including with closed-response format and open-response format. For questions, very capable at identifying the concept even when question included a great deal of chemical symbolism. However, ChatGPT's success solving problems only 44%, value well below class average 69%. On responses displayed strong language processing ability higher performance on that could be solved more generalizable information compared required specific skills, especially those topics or skills were primarily found lecture. Incorrect flawed explanations often logically sound would persuasive novice. is currently ill-equipped provide reliable answers students for many representative exam but potential use create assignments which analyze improve responses.

Язык: Английский

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AI-Aided Teaching Model in Education 5.0

Advances in computational intelligence and robotics book series, Год журнала: 2023, Номер unknown, С. 83 - 104

Опубликована: Июнь 30, 2023

In the educational setting, artificial intelligence (AI) technology, notably chatbots, has made substantial improvements in English learning. This study aims to determine effectiveness of using Artificial Intelligence Virtual Dream Friend and John Boot applications on learning 5.0 revolution era courses for first-semester students at university. The assessment method used is a quantitative research design (quasi-experiment design). Based results study, it can be concluded that comparison test showed My Bot were both effective use as computer tutoring also increased interest compared previous conventional methods. outcomes this might direct future into utilizing chatbots outside classroom companions, educators could them adapt evaluation feedback procedures.

Язык: Английский

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The impact of educational chatbot on student learning experience

Education and Information Technologies, Год журнала: 2023, Номер 29(8), С. 10153 - 10176

Опубликована: Сен. 26, 2023

Язык: Английский

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AI Creates the Message: Integrating AI Language Learning Models into Social Work Education and Practice

Journal of Social Work Education, Год журнала: 2023, Номер 59(2), С. 294 - 302

Опубликована: Апрель 3, 2023

Click to increase image sizeClick decrease size AcknowledgementThe first two images in this editorial were created by Jonathan Singer on his paid membership account the AI art generator, Midjourney. The third is a screenshot of ChatGPT.Disclosure statementNo potential conflict interest was reported authors.Additional informationNotes contributorsJonathan B. SingerJonathan Professor at Loyola University Chicago School Social Work.Johanna Creswell BáezJohanna Báez Assistant Colorado College Public Service.Juan A. RiosJuan Rios Seton Hall University, Department Sociology, Anthropology, Work and Criminal Justice.

Язык: Английский

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Generative Artificial Intelligence in Education, Part One: the Dynamic Frontier

TechTrends, Год журнала: 2023, Номер 67(4), С. 603 - 607

Опубликована: Июнь 7, 2023

Язык: Английский

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