SrcDatabase-来源库: 硕士
Title-题名: 青少年AI科普产品的跨文化适配研究与实践——以《AI乐园奇遇记》为例
Author-作者:LEE YI SHUAN（李彧暄）
Organ-单位: 中国传媒大学
Source-文献来源: 中国传媒大学
Keyword-关键词: 青少年科普;跨文化适配;跨文化传播;生成式AI;多模态学习
Summary-摘要: 在人工智能技术逐渐进入基础教育领域的背景下,青少年科普内容的跨文化传播面临表达失配、理解路径不稳定以及媒介适配困难等问题。不同文化语境下,知识内容本身虽具有通用性,但其呈现方式、叙事结构与互动形式往往难以直接迁移,进而影响学习体验与传播效果。针对上述问题,本文以青少年AI科普内容为研究对象,从跨文化传播与教育设计的交叉视角出发,提出一种基于“知识核心—情境表达—文化符号”的跨文化适配思路。通过对文本、视觉、视频与AI交互内容的结构拆分,将科普内容划分为知识核心单元、情境表达单元与语言风格单元,从而在保持知识逻辑一致的前提下,实现表达层面的文化再编码。在方法上,本文构建了跨文化适配分析框架,并基于作者作为具有马来西亚文化背景的在华留学生的跨文化视角,以原创科普作品《AI乐园奇遇记》为载体,开展中国与马来西亚两个文化语境下的对比改写实践。研究围绕文本内容本地化、视觉符号替换、视频节奏调整以及AI智能体交互表达优化等多个维度展开,对框架在不同媒介形态中的应用路径进行了探索,并对其应用效果进行检查。研究结果表明,通过分层设计与局部再编码策略,在不改变知识核心结构的前提下,在实践中表现出对理解自然度与接受情况的优化趋势。同时,该方法在设计阶段显示出预设跨文化适配空间的可能性,有助于降低后期修改成本,并为多语言内容生产的稳定性与扩展性提供支持。本研究为青少年科普内容的国际化传播提供了一种具有可操作性的设计路径参考,对AI教育内容在多文化语境下的传播策略具有一定的理论价值与实践参考意义。
PubTime-发表时间: 2026-05-15
FirstDuty-第一责任人: LEE YI SHUAN（李彧暄）
Year-年: 2026
PageCount-页码: 69
CLC-中图分类号: J505;TP18;G648.9
URL-网址: https://link.oversea.cnki.net/doi/10.27483/d.cnki.gbjgc.2026.000115
DOI-DOI: 10.27483/d.cnki.gbjgc.2026.000115

SrcDatabase-来源库: 硕士
Title-题名: AI辅助多模态教学在初级汉语综合课中的实践研究——以彭亨孔院为例
Author-作者:姜汉实
Organ-单位: 河北大学
Source-文献来源: 河北大学
Keyword-关键词: AI;多模态教学;初级汉语综合课;彭亨孔院
Summary-摘要: 随着国际中文教育领域数字化转型的日益深入,人工智能凭借其强大的多模态生成能力,为破解教学资源匮乏与本土化适配难等问题提供了新的解决方案。针对海外初级汉语综合课教师备课负担重、学习者学习效果欠佳等一系列问题,本研究提出AI辅助多模态教学的新模式。该模式主张将AI工具深度融入教师的日常教学设计当中:课前定向生成符合学习者认知特点的、有针对性的多模态教学素材。课中依托上述教学素材,降低学习者的学习压力,提高学习者的学习效果,从而为初级汉语综合课课堂教学提供一套切实可行的减负增效方案。本研究以马来西亚彭亨阿苏丹阿都拉大学孔子学院教学实践为依托,以多模态话语分析理论、“输入假说”理论以及TPACK理论为框架,综合采用问卷调查法、对比实验法与访谈法等研究方法开展实证研究。研究主要从教师和学习者两个层面展开:在学习者层面,首先通过前测问卷,全面了解该校学习者的学习痛点、需求以及对多模态教学与AI介入的态度。随后根据问卷结果并结合该校实际,开展为期近半个学期的教学对比实验,系统评估该教学模式对学生学习效果的影响。在教师层面,重点考查AI工具介入备课后的时间分布,并结合访谈评估AI辅助多模态教学的减负效果以及授课教师的实际体验。研究发现,在初级汉语综合课中采用AI辅助多模态教学,既能有效降低教师的备课负担,还能有效提升学习者的学习效果。但AI工具带来的优势并不会自动转化为教学效果,教师的审核与流程化操作是实现这一结果的关键。基于此,本研究归纳出生成—筛选—简化—试用与调整的人机协同备课教学路径,并就相关问题提出针对性建议,以期为AI辅助多模态教学在海外初级汉语综合课中的应用提供理论支撑与可操作的实践参考。
PubTime-发表时间: 2026-05-01
FirstDuty-第一责任人: 姜汉实
Year-年: 2026
PageCount-页码: 93
CLC-中图分类号: G434;H195
URL-网址: https://link.oversea.cnki.net/doi/10.27103/d.cnki.ghebu.2026.002599
DOI-DOI: 10.27103/d.cnki.ghebu.2026.002599

SrcDatabase-来源库: 外文期刊
Title-题名: Development and validation of virtual patients for assessing history taking and communication skills among medical students.
Author-作者:Nurul Ain Mohd Salim;Azreen Azman;Puteri Suhaiza Sulaiman;Nurhanis Syazni Roslan;Rafidah Hod;Siti Khadijah Adam
Organ-单位: Department of Medical Education; Faculty of Medicine and Health Sciences; Universiti Putra Malaysia; Serdang; Selangor; Malaysia.;Department of Multimedia; Faculty of Computer Science and Information Technology; Universiti Putra Malaysia; Serdang; Selangor; Malaysia.;Department of Medical Education; School of Medical Sciences; Universiti Sains Malaysia; Kota Bharu; Kelantan; Malaysia.;Department of Medical Education; Faculty of Medicine and Health Sciences; Universiti Putra Malaysia; Serdang; Selangor; Malaysia. sk.adam@upm.edu.my.
Source-文献来源: BMC medical education
Keyword-关键词: Communication skills;History taking;Medical education;Virtual patients;Virtual reality
Summary-摘要: Background(#br)The integration of virtual patients (VPs) into medical education is expanding globally, enhancing traditional training and supporting the development of clinical skills. In Malaysia, adoption is progressing, although dependence on imported platforms may compromise cultural and linguistic authenticity. We developed three culturally adapted VPs reflecting the local healthcare context. The VP application, featuring a custom virtual reality (VR) environment, 3-dimensional (3D) avatars and speech functions, was deployed on the Oculus Meta Quest 2 headset. This device provides an immersive, user-friendly experience, allowing students to interact with VPs via hand-held controllers.(#br)Methods(#br)The developed VPs were assessed in terms of their content, face, construct, and concurrent validity, as well as the reliability for use in history-taking and communication skills assessment. Data analysis was performed using IBM SPSS Statistics software version 25.(#br)Results(#br)The VPs showed acceptable c...
PubTime-发表时间: 2026-01-19
FirstDuty-第一责任人: Nurul Ain Mohd Salim
Year-年: 2026
Volume-卷: 26
Period-期: 1
PageCount-页码: 264-264
CLC-中图分类号: G642
URL-网址: https://link.oversea.cnki.net/doi/10.1186/S12909-025-08503-X
DOI-DOI: 10.1186/S12909-025-08503-X

SrcDatabase-来源库: 外文期刊
Title-题名: Integrating cognitive moral development theory into the theory of planned behaviour:Predicting the intention to use ChatGPT for academic purposes
Author-作者:Ahadzadeh Ashraf Sadat;Wu Shin Ling;Wang Changsong
Source-文献来源: Educational Technology & Society
Summary-摘要: ChatGPT is the most cutting-edge AI language model with the potential to transform education. Building on the Theory of Planned Behaviour (TPB), this study aims to investigate how attitude, subjective norms, perceived behavioural control influence the intention to use ChatGPT for academic purposes, aiming to expand upon the existing literature. Furthermore, drawing upon the Cognitive Moral Development Theory, it explores the moderating effect of ethical judgments on the relationship between TPB constructs and the intention to use ChatGPT for academic purposes. A cross-sectional survey was utilised to gather 311 responses from university students studying in Malaysia. We discovered that the intention to use ChatGPT was positively influenced by TPB constructs while negatively affected by ethical judgments that discourage the use of ChatGPT for academic purposes. Furthermore, these ethical judgments did not attenuate the association between attitude and intention. Individuals with higher scores on ethical judgme...
PubTime-发表时间: 2026-01-01
FirstDuty-第一责任人: Ahadzadeh Ashraf Sadat
Year-年: 2026
Volume-卷: 29
Period-期: 1
PageCount-页码: 60-78
CLC-中图分类号: B844.2
URL-网址: https://oversea.cnki.net/kcms2/article/abstract?v=tiEzFHOds_7M56ilEKb1YtRqk3W5FjW-lVfw6bHGrLVuDwMY1CzlJ5OyvADxnwUFEjY16mE6t7Pta0KFgyJe7NV-v86YmjHgeQOIX-X-4xckrhYSUwOKLay4E6DBFebrkYP_f9eH_S-GLhODE5YKePoNY6gwxuwxtbpSnYJ28AmK5CHFdQFkBTWP75dl9ravMol8DNLonME=&uniplatform=OVERSEA&language=CHS

SrcDatabase-来源库: 外文期刊
Title-题名: Bridging the Digital Divide: Socioeconomic Equity in AI-Assisted Hybrid Learning
Author-作者:Racheal Poh;Bee Wah Tan;Heng Wei Lee;Kian Lam Tan
Organ-单位: School of Digital Technology;Wawasan Open University;Penang;Malaysia;Graduate School of Business;Universiti Sains Malaysia;Penang;Malaysia
Source-文献来源: SN Computer Science
Keyword-关键词: Artificial intelligence (AI);Socioeconomic status (SES);Hybrid learning;Self-directed learning (SDL);Digital divide;Generative AI
Summary-摘要: Generative AI (GenAI) tools have gained popularity across different learning and teaching contexts, becoming part of the mainstream in both classroom and online learning. This rapid AI adoption in education might help to provide students with personalized learning experiences that are not only intended to keep up with the pace of hybrid and Open and Distance Learning (ODL) but also envisioned to help students transcend their classroom and human teacher limitations. However, a result of the highly selective and rapidly growing technology access is what is commonly known as the digital divide that has socioeconomic status (SES) as one of its root causes. With the widespread GenAI adoption among ODL providers, studying SES as a potentially driving force of the GenAI adoption in SDL could help to identify students who are not benefiting from AI advances in education and further consider ways to narrow the technology-driven learning inequalities. This study reports on the effects of three self-directed learning (S...
PubTime-发表时间: 2025-12-26
FirstDuty-第一责任人: Racheal Poh
Year-年: 2025
Volume-卷: 7
Period-期: 1
PageCount-页码: 50-50
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1007/S42979-025-04593-Y
DOI-DOI: 10.1007/S42979-025-04593-Y

SrcDatabase-来源库: 外文期刊
Title-题名: What Are the Opportunities and Challenges of Using AI in Medical Education in Vietnam?
Author-作者:Trung Anh Nguyen;Thanh Binh Nguyen;Duy Cuong Nguyen;Anh Dung Vu;Khanh Linh Dang;Nhu Quynh Le;Duy Anh Ngo;Dang Kien Nguyen;Van Thuan Hoang;Thanh Binh Ngo
Organ-单位: Thai Binh University of Medicine and Pharmacy; 373 Ly Bon Street; Hung Yen; 06000; Vietnam; 84 2273838545; 84 2273847509.;Hanoi University of Science and Technology; Ha Noi; Vietnam.
Source-文献来源: JMIR medical education
Keyword-关键词: Vietnam;adaptive learning;artificial intelligence;curriculum innovation;digital transformation;educational technology;medical education;virtual simulation
Summary-摘要: Unlabelled(#br) Artificial intelligence (AI) has the potential to transform medical training through adaptive learning, immersive simulations, automated assessments, and data-driven insights, offering solutions to persistent issues such as high student-to-faculty ratios, overcrowded classrooms, and limited clinical exposure. Globally, many universities have already embedded AI literacy and competencies into undergraduate, postgraduate, and continuing education programs, while in Vietnam, the use of AI in medical education remains limited and fragmented. Most students have little formal exposure to AI, and empirical evidence on faculty or institutional readiness is scarce. Experiences from other countries, including Malaysia, Palestine, and Oman, demonstrate that incremental adoption and faculty development can facilitate cultural acceptance and curricular innovation, providing useful lessons for Vietnam. At the same time, significant barriers remain. These include inadequate infrastructure in provincial unive...
PubTime-发表时间: 2025-12-02
FirstDuty-第一责任人: Trung Anh Nguyen
Year-年: 2025
Volume-卷: 11
PageCount-页码: e77817
CLC-中图分类号: G649.711
URL-网址: https://link.oversea.cnki.net/doi/10.2196/77817
DOI-DOI: 10.2196/77817

SrcDatabase-来源库: 外文期刊
Title-题名: Policy Perspective on Proposed Framework of NLP AI to Bridge the Inclusive Support in Higher Education with a Mixed Methods Approach in Indonesia and Malaysia
Author-作者:Nanang Husin;Hujjatullah Fazlurrahman;Anita Safitri;Riska Dhenabayu;Ummu Ajirah Abdul Rauf;Aldi Muhamad Fitrah
Source-文献来源: International Journal of Information and Education Technology
Keyword-关键词: inclusive support policy; artificial intelligence; natural language processing; inclusive education; disability support
Summary-摘要: Despite inclusive education policies in Southeast Asia, disabled students still face barriers and difficulties. Mainly due to the limited individual support and institutional readiness. This study addresses this issue by proposing a policy-aligned Natural Language Processing (NLP) AI framework that uses a dual theoretical foundation (Digital Inclusion and Technology-Organization-Environment (TOE)). This approach could help to bridge the gap between policy and its implementation, especially in low-resource environments. Policymakers play a pivotal role in shaping the future of education by creating an environment to support inclusion and ensuring equity for students with disabilities. This research emphasizes strategic policy for the implementation of the NLP AI framework to support disabled students in increasing their academic activities, particularly in developing countries. The framework itself uses sentiment analysis, entity recognition, and conversational agents from the NLP component to facilitate real-...
PubTime-发表时间: 2025-12-01
FirstDuty-第一责任人: Nanang Husin
Year-年: 2025
Volume-卷: 15
Period-期: 12
CLC-中图分类号: G769.2
URL-网址: https://link.oversea.cnki.net/doi/10.18178/IJIET.2025.15.12.2464
DOI-DOI: 10.18178/IJIET.2025.15.12.2464

SrcDatabase-来源库: 外文期刊
Title-题名: Primary teachers’ acceptance and sustained adoption of AI powered learner corpora for writing instruction through TAM and ECM perspectives
Author-作者:Na Zhang;Wei Lun Wong;Jessie Barrot
Organ-单位: Chengdu University;Chengdu;China;Faculty of Education;Universiti Kebangsaan Malaysia;Kuala Lumpur;Malaysia;College of Education; Arts and Sciences;National University;Manila;Philippines
Source-文献来源: Scientific Reports
Keyword-关键词: Artificial intelligence;Learner corpora;Technology acceptance model;Expectation confirmation model;Writing skill
Summary-摘要: Artificial intelligence (AI) offers significant potential to enhance writing instruction in primary education. However, its sustained adoption by English language teachers remains insufficiently understood. This study examines the factors influencing teachers’ acceptance and continued use of AI-powered learner corpora, drawing on the Technology Acceptance Model (TAM) and Expectation Confirmation Model (ECM). A structured questionnaire was administered to 355 primary school English teachers in Malaysia to assess variables related to external support (e.g., facilitating conditions, teacher-learner interaction), individual characteristics (e.g., perceived self-efficacy, expectancy effects, growth mindset, interest) and technology perceptions (e.g., perceived ease of use, perceived usefulness, satisfaction, continuance intention). Data were analyzed using exploratory and confirmatory factor analysis, followed by Structural Equation Modeling. Results highlight perceived self-efficacy and interest as key predictors...
PubTime-发表时间: 2025-10-27
FirstDuty-第一责任人: Na Zhang
Year-年: 2025
Volume-卷: 15
Period-期: 1
PageCount-页码: 37399-37399
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1038/S41598-025-21205-0
DOI-DOI: 10.1038/S41598-025-21205-0

SrcDatabase-来源库: 外文期刊
Title-题名: Unleashing AI in Education: A Comparative Analysis of Malaysian University Student Engagement and Learning Support between Google Gemini and ChatGPT
Author-作者:Calvin Cheah Wei Chieh;Wong Teik Aun
Organ-单位: Wawasan Open University; School of Education; Humanities and Social Sciences; Georgetown; Penang; Malaysia; INTI International College Penang; Australian Degree Transfer Programme; Penang; Malaysia
Source-文献来源: Journal of Educational Technology Systems
Keyword-关键词: AI in learning support;university student engagement;Google Gemini;ChatGPT;thematic analysis
Summary-摘要: This study examines Malaysian university students’ engagement with two AI-based learning tools, ChatGPT and Google Gemini, focusing on learning support, usability, and emotional responses. A qualitative case study approach was adopted, involving semi-structured interviews and a focus group with ten undergraduates from diverse disciplines at a higher education institution in Penang, Malaysia. Thematic analysis revealed four themes: (1) engagement through interaction, (2) diverse learning experiences, (3) usability and accessibility, and (4) emotional impact. The findings suggest that ChatGPT provides effective conversational support, while Google Gemini offers richer multimodal resources but presents usability challenges. The study underscores the importance of training and technical support in optimizing these tools’ educational potential. Although the small, context-specific sample limits generalizability, the research offers early insights into how Malaysian undergraduates navigate AI-assisted learning. Fut...
PubTime-发表时间: 2025-10-24
FirstDuty-第一责任人: Calvin Cheah Wei Chieh
Year-年: 2025
Volume-卷: 54
Period-期: 2
PageCount-页码: 310-325
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1177/00472395251380292
DOI-DOI: 10.1177/00472395251380292

SrcDatabase-来源库: 外文期刊
Title-题名: Leveraging ChatGPT to support terminology learning in oral anatomy: a mixed-methods study among linguistically diverse dental students
Author-作者:Avita Rath
Organ-单位: Faculty of Dentistry;SEGi University ;No. 9 Jalan Teknologi; PJU 5; Kota Damansara ;47810;Petaling Jaya;Selangor;Malaysia
Source-文献来源: BMC Medical Education
Keyword-关键词: Artificial intelligence;Dental education;Terminology comprehension;ChatGPT;Multilingual learners;English-medium instruction;Self-directed learning;Student engagement;Ethics in AI
Summary-摘要: Background(#br)English-medium instruction (EMI) in health professional education presents linguistic barriers for non-native English-speaking students, particularly in terminology-dense subjects like dental anatomy. While artificial intelligence (AI) has shown promise in educational contexts, its application to support terminology learning among multilingual learners remains underexplored. This study evaluated the impact of ChatGPT-assisted learning on terminology comprehension and student engagement among international dental students in Malaysia.(#br)Methods(#br)A convergent mixed-methods pilot study was conducted with 35 Chinese international Year 1 and Year 2 dental students enrolled in an oral anatomy course at SEGi University. Students completed pre- and post-intervention comprehension tests and engagement surveys. Over an eight-week period, students used ChatGPT to clarify terminology and explore anatomical content. ChatGPT usage logs were analyzed, and post-intervention focus group discussions were co...
PubTime-发表时间: 2025-10-15
FirstDuty-第一责任人: Avita Rath
Year-年: 2025
Volume-卷: 25
Period-期: 1
PageCount-页码: 1425-1425
CLC-中图分类号: G642.0
URL-网址: https://link.oversea.cnki.net/doi/10.1186/S12909-025-07968-0
DOI-DOI: 10.1186/S12909-025-07968-0

SrcDatabase-来源库: 外文期刊
Title-题名: Enhancing Academic Writing through Non-Institutional Technologies (GenAI tool): A Case Study
Author-作者:Chee Ling Thong;Lee Yen Chaw;Aswani Kumar Cherukuri
Organ-单位: Institute of Computer Science and Digital Innovation; UCSI University; Kuala Lumpur 56000; Malaysia;UCSI Graduate Business School; UCSI University; Kuala Lumpur 56000; Malaysia;School of Information Technology and Engineering; Vellore Institute of Technology; Vellore; Tamil Nadu; India;chloethong@ucsiuniversity.edu.my;chawly@ucsiuniversity.edu.my;cherukuri@acm.org
Source-文献来源: Journal of Information & Knowledge Management
Keyword-关键词: ChatGPT;Literal;Elicit;generative artificial intelligence (GenAI);AI in education (AIED);quality education
Summary-摘要: The growing use of AI-powered tools, particularly non-institutional technologies such as Generative AI (GenAI), has transformed how university students approach academic writing. Nowadays, GenAI technologies are used by students in finding relevant online resources, particularly in academic writing learning. However, there is a notable gap in the literature regarding the use of non-institutional technologies — such as ChatGPT, Elicit and Lateral — for academic writing learning. Existing studies have largely focused on general AI adoption in education without examining these specific tools or their impact on student engagement. Moreover, it is known that the effectiveness of AI in education is strongly shaped by students’ perceptions and how they interact with the technology. In this study, a case study approach is used, and data were collected from 32 university students in Malaysia. The collected data were analysed using content analysis. The results showed that students using non-institutional-led technolog...
PubTime-发表时间: 2025-09-30
FirstDuty-第一责任人: Chee Ling Thong
Year-年: 2025
Volume-卷: 25
Period-期: 4
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1142/S0219649225501011
DOI-DOI: 10.1142/S0219649225501011

SrcDatabase-来源库: 外文期刊
Title-题名: Artificial intelligence adoption in nursing students' academic writing: A qualitative study
Author-作者:Jandy Perra Jembu;Rekaya Vincent Balang
Organ-单位: Department of Nursing; Faculty of Medicine and Health Sciences; University Malaysia Sarawak (UNIMAS); Malaysia;Department of Nursing; Faculty of Medicine and Health Sciences;University Malaysia Sarawak (UNIMAS);Malaysia
Source-文献来源: Teaching and Learning in Nursing
Keyword-关键词: AI-based tools;Academic writing;Artificial intelligence (AI);Nursing education;Perceptions;Undergraduate nursing students;Thematic analysis
Summary-摘要: Background(#br)There has been an increase in the use of AI-based tools, such as Grammarly and ChatGPT, in academic writing, offering potential benefits and challenges to students across various fields.(#br)Aim(#br)This study aimed to explore how nursing students perceive the use of AI tools in their academic writing and identify the factors influencing their adoption.(#br)Methods(#br)A descriptive qualitative research design was employed. Eleven nursing students (9 from public and 2 from private universities) across Malaysia participated through snowball and purposive sampling. Semi-structured interviews were conducted, and data were analyzed using Braun and Clarke’s thematic analysis with NVivo 14.(#br)Results(#br)Four themes emerged: perceived strengths of AI adoption (increased productivity and improved writing quality); perceived flaws (concerns over data accuracy and plagiarism); influential factors (peer and family support); and systemic barriers (lack of formal training and financial constraints).(#br)...
PubTime-发表时间: 2025-09-26
FirstDuty-第一责任人: Jandy Perra Jembu
Year-年: 2025
Volume-卷: 20
Period-期: 4
PageCount-页码: e1012-e1020
CLC-中图分类号: G642
URL-网址: https://link.oversea.cnki.net/doi/10.1016/J.TELN.2025.04.015
DOI-DOI: 10.1016/J.TELN.2025.04.015

SrcDatabase-来源库: 外文期刊
Title-题名: Artificial Intelligence Literacy in Malay Language Through a Teaching-Purposed Chatbot
Author-作者:Nurfadhlina Mohd Sharef;Evi Indriasari Mansor;Nurul Amelina Nasharuddin
Organ-单位: Faculty of Computer Science and Information Technology; Universiti Putra Malaysia; 43000 UPM Serdang; Selangor; Malaysia;Business Analytics Program; Abu Dhabi School of Management; Abu Dhabi; United Arab Emirates;nurfadhlina@upm.edu.my
Source-文献来源: Journal of Information & Knowledge Management
Keyword-关键词: Chatbot;learning artificial intelligence;Malay-based learning tools
Summary-摘要: The capacity of chatbots to mimic human interactions for activities like summarising content, responding to queries, creating quizzes, and replicating concepts is the reason why their use in education is rising. However, users need prompting skills to be able to get the maximum benefits from them. Novices and beginners in a subject require substantial self-regulated learning to explore topics and achieve their goals. Without this, they can get lost and lose motivation. While overview and conceptual prompts are available, they often lack structured knowledge support, highlighting the need for chatbots that offer basic knowledge. Despite the popularity of ChatGPT and other chatbots, we emphasise the need for purpose-built teaching chatbots. We introduce CikguAIBot, a teaching chatbot designed using an 18-item checklist for developing teaching chatbots. CikguAIBot converses in Malay and teaches artificial intelligence (AI) concepts, a pioneering effort in this field. Malay is the official language of Malaysia. T...
PubTime-发表时间: 2025-08-21
FirstDuty-第一责任人: Nurfadhlina Mohd Sharef
Year-年: 2025
Volume-卷: 24
Period-期: 6
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1142/S0219649225500595
DOI-DOI: 10.1142/S0219649225500595

SrcDatabase-来源库: 外文期刊
Title-题名: Teacher’s Acceptance and Intention to Use Artificial Intelligence Technology in Teaching and Learning Based on the UTAUT Model
Author-作者:Saidah Muhamed ;Intan Farahana Kamsin
Source-文献来源: International Journal of Information and Education Technology
Keyword-关键词: Artificial Intelligence (AI); Unified Theory of Technology Acceptance and Use of Technology model (UTAUT); behavioral intentions; in-service teacher
Summary-摘要: The integration of Artificial Intelligence (AI) technology in teaching and learning is becoming increasingly prevalent, necessitating teacher preparedness for pedagogical reform. This study investigates the factors influencing secondary school teachers’ acceptance of AI technology based on the Modified Integrated Theory of Acceptance and Use of Technology (UTAUT). Specifically, it examines the roles of Performance Expectation, Effort Expectation, Social Influence, and AI Anxiety in shaping behavioral intention, and explores the moderating effects of gender, age, and teaching experience. Data were collected through a structured questionnaire administered to 88 secondary school teachers in Kuala Lumpur, Malaysia. Statistical analyses, including one-way ANOVA and multiple linear regression using SPSS version 29, conducted to evaluate the data. The results reveal that Effort Expectation and AI Anxiety significantly influence behavioral intention, while Performance Expectation and Social Influence do not. Addition...
PubTime-发表时间: 2025-07-01
FirstDuty-第一责任人: Saidah Muhamed
Year-年: 2025
Volume-卷: 15
Period-期: 7
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.18178/IJIET.2025.15.7.2344
DOI-DOI: 10.18178/IJIET.2025.15.7.2344

SrcDatabase-来源库: 外文期刊
Title-题名: Unraveling the influential factors driving persistent adoption of ChatGPT in learning environments
Author-作者:Sedigheh Moghavvemi;Farooq Ahmed Jam
Organ-单位: Faculty of Business and Economics;University of Malaya;50603;Kuala Lumpur;Malaysia;University of Malaya;Kuala Lumpur;Malaysia;Global Illuminators Kuala Lumpur;Kuala Lumpur;Malaysia
Source-文献来源: Education and Information Technologies
Keyword-关键词: ChatGPT;AI in education;Student perceptions;Academic usage;Privacy concerns;Educational technology
Summary-摘要: AI has transformed education by reshaping teaching and learning processes. ChatGPT plays a significant role in enhancing these processes; however, effective educator training is essential for its optimal use. Educators and researchers are increasingly adopting AI chatbots, expecting them to improve learning experiences and reduce teacher workload. This study aims to identify the factors contributing to ChatGPT’s perceived value and analyze their impact on its continued usage among students. Additionally, the study introduces a new model and investigates the moderating effect of privacy risk on the relationship between perceived value and the continued use of ChatGPT. A total of 600 questionnaires were distributed to students enrolled in various universities in Malaysia, with 244 students indicating their willingness to continue using ChatGPT. Partial Least Squares Structural Equation Modeling was used to analyze the data. The findings suggest that perceived usefulness, perceived ease of use, problem-solving, ...
PubTime-发表时间: 2025-06-18
FirstDuty-第一责任人: Sedigheh Moghavvemi
Year-年: 2025
Volume-卷: 30
Period-期: 15
PageCount-页码: 1-28
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1007/S10639-025-13662-X
DOI-DOI: 10.1007/S10639-025-13662-X

SrcDatabase-来源库: 外文期刊
Title-题名: Students' acceptance and use of generative AI in pharmacy education: international cross-sectional survey based on the extended unified theory of acceptance and use of technology.
Author-作者:Mohamed Hassan Elnaem;Betul Okuyan;Naeem Mubarak;Abrar K Thabit;Merna Mahmoud AbouKhatwa;Diana Laila Ramatillah;AbdulMuminu Isah;Ali Azeez Al Jumaili;Nor Ilyani Mohamed Nazar
Organ-单位: School of Pharmacy and Pharmaceutical Sciences; Ulster University; Coleraine; BT52 ISA; UK. m.elnaem@ulster.ac.uk.;Department of Clinical Pharmacy; Faculty of Pharmacy; Marmara University; Istanbul; Turkey.;Department of Pharmacy Practice; Lahore Medical and Dental College; University of Health Sciences; Lahore; Pakistan.;Pharmacy Practice Department; Faculty of Pharmacy; King Abdulaziz University; Jeddah; Saudi Arabia.;Department of Clinical Pharmacy and Pharmacy Practice; Faculty of Pharmacy; Alexandria University; Alexandria; 5372066; Egypt.;Faculty of Pharmacy; Universitas 17 Agustus 1945; Jakarta; Jakarta; Indonesia.;Department of Clinical Pharmacy and Pharmacy Management; University of Nigeria; Nsukka; 410001; Enugu State; Nigeria.;College of Pharmacy; University of Baghdad College of Pharmacy; Baghdad; Iraq.;Kulliyyah of Pharmacy; International Islamic University Malaysia (IIUM); Kuantan; Malaysia.
Source-文献来源: International journal of clinical pharmacy
Keyword-关键词: Generative AI;Pharmacy education;Pharmacy students;Technology acceptance;UTAUT framework
Summary-摘要: BACKGROUND(#br) Generative artificial intelligence (GenAI) has significant potential implications for pharmacy education, but its ethical, practical, and pedagogical implications have not been fully explored. (#br)AIM(#br) This international study evaluated pharmacy students' acceptance and use of GenAI tools using the Extended Unified Theory of Acceptance and Use of Technology (UTAUT). (#br)METHOD(#br) A cross-sectional survey of pharmacy students from nine countries during the first half of 2024 assessed GenAI usage patterns, curricular integration, and acceptance via the Extended UTAUT framework. After appropriate translation and cultural adaptation, exploratory factor analysis (EFA) identified key adoption factors. (#br)RESULTS(#br) A total of 2009 responses were received. ChatGPT and Quillbot were the tools most frequently utilised. EFA identified three key dimensions: Utility-Driven Adoption, Affordability and Habitual Integration, and Social Influence. Students rated performance and effort expectancy h...
PubTime-发表时间: 2025-06-04
FirstDuty-第一责任人: Mohamed Hassan Elnaem
Year-年: 2025
Volume-卷: 47
Period-期: 4
PageCount-页码: 1-12
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1007/S11096-025-01936-W
DOI-DOI: 10.1007/S11096-025-01936-W

SrcDatabase-来源库: 外文期刊
Title-题名: Evaluating the Impact of Artificial Intelligence Tools on Enhancing Student Academic Performance: Efficacy Amidst Security and Privacy Concerns
Author-作者:Jwern Tick Kiet Phua;Han Foon Neo;Chuan Chin Teo
Organ-单位: Faculty of Information Science and Technology; Multimedia University; Jalan Ayer Keroh Lama; Malacca 75450; Malaysia
Source-文献来源: Big Data and Cognitive Computing
Keyword-关键词: artificial intelligence;security;privacy;perceived ease of use;perceived usefulness;ChatGPT
Summary-摘要: The rapid advancements in artificial intelligence (AI) have significantly transformed various domains, including education, by introducing innovative tools that reshape teaching and learning processes. This research investigates the perceptions and attitudes of students towards the use of AI tools in their academic activities, focusing on constructs such as perceived usefulness, the perceived ease of use, security and privacy concerns, and both positive and negative attitudes towards AI. On the basis of Technology Acceptance Model (TAM) and the General Attitudes towards Artificial Intelligence Scale (GAAIS), this research seeks to identify the factors influencing students’ behavioral intentions and actual adoption of AI tools in educational settings. A structured survey was administered to students at Multimedia University, Malaysia, capturing their experiences and opinions on widely used AI tools such as ChatGPT, Quillbot, Grammarly, and Perplexity. Hypothesis testing was used to evaluate the statistical sig...
PubTime-发表时间: 2025-05-15
FirstDuty-第一责任人: Jwern Tick Kiet Phua
Year-年: 2025
Volume-卷: 9
Period-期: 5
PageCount-页码: 131-131
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.3390/BDCC9050131
DOI-DOI: 10.3390/BDCC9050131

SrcDatabase-来源库: 外文期刊
Title-题名: Technology acceptance and academic willingness in supporting the offering of diploma in applied artificial intelligence at polytechnic Malaysia
Author-作者:Manaf Marlina Bt Abdul;Azizan Mona Bt
Organ-单位: Information Technology and Communication Department; Politeknik Ungku Omar; Ipoh Perak; Malaysia
Source-文献来源: E3S Web of Conferences
Summary-摘要: The rapid advancements in Artificial Intelligence (AI) necessitate a corresponding evolution in technical and vocational education (TVET) to meet future workforce demands. This study investigates the critical factors influencing the successful implementation of a new program to be offered in polytechnic Malaysia which is Diploma in Applied Artificial Intelligence. Using a blended theoretical framework drawing from the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), this paper examines the technology acceptance of key stakeholder who specifically focus on academic and management staff of PolyCC and suggest a model AIMED. Additionally, it explores the construct of academic willingness, which encompasses a faculty’s readiness to adapt to new curricula, acquire new pedagogical skills, and embrace institutional change. A mixed methods approach used by combining questionnaire data and semi-structured interviews, was embedded to gather insights into perceived use...
PubTime-发表时间: 2025-01-01
FirstDuty-第一责任人: Manaf Marlina Bt Abdul
Year-年: 2025
Volume-卷: 664
PageCount-页码: 01015-01015
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1051/E3SCONF/202566401015
DOI-DOI: 10.1051/E3SCONF/202566401015

SrcDatabase-来源库: 外文期刊
Title-题名: Exploring the influence of ChatGPT on student academic success and career readiness
Author-作者:Nisar Ahmed Dahri;Noraffandy Yahaya;Waleed Mugahed Al Rahmi
Organ-单位: Faculty of Educational Sciences and Technology (FEST);University Teknologi Malaysia;Johor Bahru;Malaysia;Department of Management Information System; College of Business Administration;Dar Al Uloom University;13314; Al Falah;Riyadh;Kingdom of Saudi Arabia
Source-文献来源: Education and Information Technologies
Keyword-关键词: ChatGPT;Academic success;Career readiness;Cognitive skills;Personalized learning
Summary-摘要: Enhancing student academic success and career readiness is important in the rapidly evolving educational field. This study investigates the influence of ChatGPT, an AI tool, on these outcomes using the Stimulus-Organism-Response (SOR) theory and constructs from the Technology Acceptance Model (TAM). The aim is to explore how ChatGPT impacts cognitive skill development, career-relevant knowledge and skills, academic success, and career readiness. Employing a quantitative research approach, survey data from 290 students at University Teknologi Malaysia were analyzed using Structural Equation Modeling (SEM). Findings indicate that frequent ChatGPT usage positively affects cognitive skills and career-relevant knowledge. Specifically, high-quality ChatGPT outputs significantly enhance cognitive skills (β = 0.40, p < 0.001) and career-relevant knowledge (β = 0.36, p < 0.001). Personalized learning experiences through ChatGPT further support cognitive development (β = 0.23, p < 0.001) and career-relevant knowledge a...
PubTime-发表时间: 2024-11-22
FirstDuty-第一责任人: Nisar Ahmed Dahri
Year-年: 2024
Volume-卷: 30
Period-期: 7
PageCount-页码: 1-45
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1007/S10639-024-13148-2
DOI-DOI: 10.1007/S10639-024-13148-2

SrcDatabase-来源库: 外文期刊
Title-题名: The acceptance of artificial intelligence in education among postgraduate students in Malaysia
Author-作者:Fahmi Zaidi Abdul Razak;Mohd Amli Abdullah;Badli Esham Ahmad;Wan Hashridz Rizal Bin Wan Abu Bakar;Nur Aulia Fahada Binti Misaridin
Organ-单位: Faculty of Business & Management;Universiti Teknologi MARA Cawangan Pahang; Jengka Campus;Bandar Tun Abdul Razak;26400;Jengka;Pahang;Malaysia;Universiti Islam Pahang Sultan Ahmad Shah;25200;Kuantan;Pahang;Malaysia;Academy of Language Studies;Universiti Teknologi MARA Cawangan Pahang; Jengka Campus;Bandar Tun Abdul Razak Jengka; 26400 Jengka; Pahang;Malaysia
Source-文献来源: Education and Information Technologies
Keyword-关键词: Artificial intelligence;Postgraduate students;Partial least squares;Unified Theory of Acceptance and Use of Technology 2
Summary-摘要: The utilization of artificial intelligence (AI) among students is rapidly gaining prominence worldwide. However, Malaysia lags in terms of research and information in this area. This quantitative study aims to identify the factors that contribute to the adoption of AI among postgraduate students. The study focuses on the postgraduate student population in Malaysia, employing convenience sampling techniques. The research findings reveal that two variables, namely hedonistic and habit, significantly influence the adoption of AI among postgraduate students. These findings are expected to provide valuable insights to stakeholders for future implementation of AI among postgraduate students. By understanding the key factors influencing AI adoption, relevant parties can effectively strategize and enhance the utilization of AI technology in the postgraduate education landscape.
PubTime-发表时间: 2024-08-06
FirstDuty-第一责任人: Fahmi Zaidi Abdul Razak
Year-年: 2024
Volume-卷: 30
Period-期: 3
PageCount-页码: 1-21
CLC-中图分类号: G643
URL-网址: https://link.oversea.cnki.net/doi/10.1007/S10639-024-12916-4
DOI-DOI: 10.1007/S10639-024-12916-4

SrcDatabase-来源库: 外文期刊
Title-题名: Investigating AI-based academic support acceptance and its impact on students’ performance in Malaysian and Pakistani higher education institutions
Author-作者:Nisar Ahmed Dahri;Noraffandy Yahaya;Waleed Mugahed Al Rahmi;Muhammad Saleem Vighio;Fahad Alblehai;Rahim Bux Soomro;Anna Shutaleva
Organ-单位: Faculty of Social Sciences and Humanities; School of Education;University Teknologi Malaysia;Johor Bahru;Malaysia;Computer Science Department;Community College; King Saud University;11437;Riyadh;Saudi Arabia;Department of Computer Science;Quaid-e Awam University of Engineering; Science; and Technology;Nawabshah;Pakistan;Institute of Business Administration;Shah Abdul Latif University;Khairpur;Pakistan;Department of Philosophy;Ural Federal University named after the First President of Russia B. N. Yeltsin;620002;Ekaterinburg;Russia
Source-文献来源: Education and Information Technologies
Keyword-关键词: Artificial intelligence;AI in Education;UTAUT;Higher education;Student achievement;Academic support
Summary-摘要: The rapid advancement of artificial intelligence (AI) technologies has led to a transformation in higher education worldwide. AI tools provide academic support to students anywhere and anytime to enhance their knowledge and skills. Those facing difficulties have been relying on traditional support and guidance. However, this support has experienced difficulties, including availability and accessibility. This study examines the potential of AI-powered tools to address these challenges, aiming to make academic support more accessible, efficient, and effective. This study focuses on understanding the determinants of AI tools' acceptance and use for academic support among students, influencing student satisfaction and academic performance in Pakistan and Malaysia. The research on AI tool acceptance and use in the higher education Institutions (HEI) context is still new and less explored in Pakistani and Malaysian higher education institutions. A theoretical model based on the Unified Theory of Acceptance and Use ...
PubTime-发表时间: 2024-03-14
FirstDuty-第一责任人: Nisar Ahmed Dahri
Year-年: 2024
Volume-卷: 29
Period-期: 14
PageCount-页码: 18695-18744
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1007/S10639-024-12599-X
DOI-DOI: 10.1007/S10639-024-12599-X

SrcDatabase-来源库: 外文期刊
Title-题名: Evaluating Students Acceptance of AI Chatbot to Enhance Virtual Collaborative Learning in Malaysia
Author-作者:Siti Norbaya Yahaya;Mohd Hafiz Bakar;Juhaini Jabar;Mariam Miri Abdullah;Yashveeni Segaran
Source-文献来源: International Journal of Sustainable Development and Planning
Keyword-关键词: AI chatbot; collaborative learning; tertiary education; Malaysia
Summary-摘要: The pandemic COVID-19 has created a crisis in tertiary education sectors worldwide with significant impacts in Malaysia. It gives the challenge to students to cope with their new learning setup. However, with the help of technology such as AI chatbot, students can receive instant assistance in seeking and accessing information and limit the disruptions during online classes. Furthermore, the advancements in AI technology have led to improvements in natural language processing, enabling chatbots to engage in more natural interactions and provide better visual and audio representations. Therefore, the purpose of this study is to examine students’ acceptance on the effectiveness of AI chatbots to solve virtual class issues. The factors involved in this process were identified and include perceived ease of use, perceived usefulness, and perceived security. A total of 376 responses were taken into this study, and the data were analyzed using SPSS software. The results indicated that higher education authorities sh...
PubTime-发表时间: 2024-01-31
FirstDuty-第一责任人: Siti Norbaya Yahaya
Year-年: 2024
Volume-卷: 19
Period-期: 1
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.18280/IJSDP.190119
DOI-DOI: 10.18280/IJSDP.190119

SrcDatabase-来源库: 外文期刊
Title-题名: Faculty perceptions regarding an individually tailored, flexible length, outcomes-based curriculum for undergraduate medical students.
Author-作者:Shankar Pathiyil Ravi;Azhar Tayyaba;Nadarajah Vishna Devi;Er Hui Meng;Arooj Mahwish;Wilson Ian G
Organ-单位: MU Centre for Education; International Medical University; Kuala Lumpur; Malaysia.;Department of Medical Education; Fatima Memorial Hospital College of Medicine and Dentistry; Lahore; Pakistan.;IMU Centre for Education; Faculty of Medicine Health; International Medical University; Kuala Lumpur; Malaysia.;IMU Centre for Education; School of Medicine; International Medical University; Kuala Lumpur; Malaysia.;Department of Medical Education; University College of Medicine and Dentistry; Lahore; Pakistan.
Source-文献来源: Korean journal of medical education
Keyword-关键词: Artificial intelligence;Curriculum;Faculty;Medical students
Summary-摘要: PURPOSE(#br) The perception of faculty members about an individually tailored, flexible-length, outcomes-based curriculum for undergraduate medical students was studied. Their opinion about the advantages, disadvantages, and challenges was also noted. This study was done to help educational institutions identify academic and social support and resources required to ensure that graduate competencies are not compromised by a flexible education pathway. (#br)METHODS(#br) The study was done at the International Medical University, Malaysia, and the University of Lahore, Pakistan. Semi-structured interviews were conducted from 1st August 2021 to 17th March 2022. Demographic information was noted. Themes were identified, and a summary of the information under each theme was created. (#br)RESULTS(#br) A total of 24 (14 from Malaysia and 10 from Pakistan) faculty participated. Most agreed that undergraduate medical students can progress (at a differential rate) if they attain the required competencies. Among the majo...
PubTime-发表时间: 2023-09-01
FirstDuty-第一责任人: Shankar Pathiyil Ravi
Year-年: 2023
Volume-卷: 35
Period-期: 3
PageCount-页码: 235-247
CLC-中图分类号: G642
URL-网址: https://link.oversea.cnki.net/doi/10.3946/KJME.2023.262
DOI-DOI: 10.3946/KJME.2023.262

SrcDatabase-来源库: 外文期刊
Title-题名: The Transformative Trajectory of Artificial Intelligence in Education: The Two Decades of Bibliometric Retrospect
Author-作者:K. Kavitha;V. P. Joshith
Organ-单位: Department of Education; 206426 Central University of Kerala ; Kasaragod; India
Source-文献来源: Journal of Educational Technology Systems
Keyword-关键词: artificial intelligence;education;scholarly publications;bibliometric analysis;global trends;VOSviewer 1.6.20
Summary-摘要: Integrating artificial intelligence (AI) stands out as the most dynamic and innovative breakthrough in introducing disruptive paths in the varied domains of education. This bibliometric analysis delved into the trajectory of AI’s evolving landscape within educational settings over two decades, encompassing 324 articles published from 2003 to 2023, sourced from the Scopus database. The study uncovers a substantial surge in publications with a steep increase from 2020, peaking in 2023. Notably, while established nations like China and the US lead in publications, notable contributions from other developing countries, including Saudi Arabia, India, and Malaysia, underscored a global shift. Key terms, including students, machine learning, AI and higher education, underpin the central focus research areas while emerging themes like “generative AI” and chatbots like “chatgpt” mark the evolving trends. Further, the study prompts sustained global partnerships, interdisciplinary collaborations, and continued explorati...
PubTime-发表时间: 2024-03-01
FirstDuty-第一责任人: K. Kavitha
Year-年: 2024
Volume-卷: 52
Period-期: 3
PageCount-页码: 376-405
CLC-中图分类号: G434
URL-网址: https://link.oversea.cnki.net/doi/10.1177/00472395241231815
DOI-DOI: 10.1177/00472395241231815