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Analyzing teacher candidates' arguments on AI integration in education via different chatbots 通过不同聊天机器人分析师范生对人工智能融入教育的看法
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.68-83
V. Duran
The burgeoning role of Artificial Intelligence (AI) in education prompts crucial discussions regarding its implications for teaching and learning. This qualitative study probes the argumentative perspectives of 118 teacher candidates from Iğdır University on the integration of AI into educational practices. Employing Toulmin's (1958) model, we analyzed their arguments, which encompass claims, evidence, warrants, backings, rebuttals, and conclusions, to ascertain their stance on AI's pedagogical integration. Utilizing four distinct AI chatbots—GPT-4, Gemini AI, Claude 3 Haiku, and Mistral AI—the research deciphers thematic undercurrents within these dimensions. Moreover, a novel methodological contribution is made through 'negative space exploration', focusing on the unmentioned themes to identify latent biases and assumptions in the argumentation. The study's dual analytical approach, combining AI-driven theme identification and negative space exploration, resulted in an enriched understanding of the content. Key findings suggest a nuanced perception among participants: while AI chatbots are acknowledged for enhancing educational efficiency and enabling personalized learning, concerns regarding diminished human interaction, potential erosion of critical thinking skills, and ethical use persist. The analyses also highlight the need for a balanced AI implementation that supports, not supplants, traditional educational methods. This research contributes to the ongoing debate on effective AI integration in education and calls for responsible pedagogical adoption of AI technologies.
人工智能(AI)在教育领域的蓬勃发展引发了有关其对教学影响的重要讨论。本定性研究探讨了伊格尔大学 118 名师范生关于将人工智能融入教育实践的论证观点。采用图尔敏(1958 年)的模型,我们分析了他们的论点,包括主张、证据、论据、支持、反驳和结论,以确定他们对人工智能教学整合的立场。利用四个不同的人工智能聊天机器人--GPT-4、Gemini AI、Claude 3 Haiku 和 Mistral AI,研究解读了这些维度中的主题暗流。此外,研究还通过 "负空间探索 "做出了新颖的方法论贡献,即通过关注未提及的主题来识别论证中潜在的偏见和假设。本研究采用双重分析方法,将人工智能驱动的主题识别和负面空间探索相结合,从而丰富了对内容的理解。主要研究结果表明,参与者对人工智能聊天机器人的认识存在细微差别:虽然人工智能聊天机器人在提高教育效率和实现个性化学习方面得到了认可,但对减少人与人之间的互动、批判性思维能力的潜在削弱以及道德使用等方面的担忧依然存在。分析还强调,需要平衡地实施人工智能,以支持而非取代传统教育方法。这项研究为当前关于人工智能有效融入教育的讨论做出了贡献,并呼吁以负责任的教学方式采用人工智能技术。
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引用次数: 0
Impact of Digital Literacy, Use of AI tools and Peer Collaboration on AI Assisted Learning- Perceptions of the University students 数字素养、人工智能工具的使用和同伴协作对人工智能辅助学习的影响--大学生的看法
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.43-49
G. V. Joseph, Athira P, Anit Thomas M, Dawn Jose, Therese V Roy, M. Prasad
The technology-supported education systems seamlessly integrated throughout the globe in response to the challenges posed by the Covid-19 pandemic. The swift developments of the digital tools with Artificial Intelligence (AI) support are also readily diffused among the educational communities. This research paper investigates the synergistic impact of digital literacy, the incorporation of AI tools, and Peer Supported Collaborative Learning (PSCL) on the learning perceptions of university students. The research aims to discern the implications of these technological and social facets on students' attitudes towards AI assisted learning process. Structured questionnaire-based survey among the University students were done for this descriptive research. 409 responses collected were analysed with SPSS, Excel and Process Macro. It is found that the students’ Digital Literacy, Use of AI tools and PSCL on AI assisted learning were positively correlated. The partial mediatory path through the PSCL and AI tool usage has a significant positive influence on students learning process. The insights gathered from this study can inform educators, policymakers, and institutions on optimizing the amalgamation of digital literacy, AI tools and PSCL to enhance the contemporary learning environment. As universities navigate the digital age, this research provides a nuanced understanding of the dynamics shaping students' perceptions, offering valuable insights into the multifaceted aspects of AI influencing the educational landscape
为应对 "Covid-19 "大流行带来的挑战,技术支持的教育系统在全球范围内实现了无缝整合。人工智能(AI)支持的数字工具的快速发展也在教育界迅速传播。本研究论文探讨了数字扫盲、人工智能工具的融入以及同伴支持协作学习(PSCL)对大学生学习认知的协同影响。本研究旨在分析这些技术和社会因素对学生人工智能辅助学习态度的影响。这项描述性研究对大学生进行了结构化问卷调查。利用 SPSS、Excel 和 Process Macro 对收集到的 409 份答复进行了分析。结果发现,学生的数字素养、人工智能工具的使用和人工智能辅助学习的 PSCL 呈正相关。通过 PSCL 和人工智能工具使用的部分中介路径对学生的学习过程有显著的积极影响。从本研究中收集到的见解可以为教育工作者、政策制定者和教育机构提供信息,帮助他们优化数字素养、人工智能工具和PSCL的结合,以改善当代的学习环境。随着大学进入数字化时代,这项研究提供了对影响学生看法的动态因素的细致入微的理解,为人工智能影响教育领域的多方面问题提供了宝贵的见解。
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引用次数: 0
Creativity and artificial intelligence: A study with prospective teachers 创造力与人工智能:对未来教师的研究
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.91-97
I. Pont-Niclós, Yolanda Echegoyen-Sanz, Patricia Orozco-Gómez, A. Martín-Ezpeleta
Artificial Intelligence (AI) brings enormous opportunities into learning, teaching, and assessment processes. Among them, it is convenient to explore its ability to channel students’ creativity, which is described as a basic competence in the training of people with both the OECD and the recent Spanish LOMLOE law pointing to the need to foster it in educational settings. In this context, the objective of this research is to explore the creative potential of prospective elementary school teachers related to storytelling, via a project including the rational use of AI generative tools. A combination of qualitative and quantitative instruments was used to get insight on the implications of those AI tools in the creative process and to gain understanding on the concerns of prospective teachers about AI at both their training and future teaching practice. The results show the potential of AI from an educational point of view, specially in self-assessment and co-evaluation processes, since it allows confronting not only the result of the creative task, but also the process itself by reflecting on the asked questions. Finally, the importance of continuing research on the ability to ask questions (a creative skill in itself) in the new context of AI is discussed.
人工智能(AI)为学习、教学和评估过程带来了巨大的机遇。经合组织(OECD)和最近的西班牙 LOMLOE 法都指出,有必要在教育环境中培养学生的创造力。在此背景下,本研究的目的是通过一个合理使用人工智能生成工具的项目,探索未来小学教师在讲故事方面的创造潜力。研究采用了定性和定量相结合的方法,以深入了解这些人工智能工具在创作过程中的影响,并了解准教师在培训和未来教学实践中对人工智能的关注。研究结果表明,从教育的角度看,人工智能具有潜力,特别是在自我评估和共同评估过程中,因为它不仅允许面对创造性任务的结果,还允许通过反思所提出的问题来面对过程本身。最后,讨论了在新的人工智能背景下继续研究提问能力(本身就是一种创造性技能)的重要性。
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引用次数: 0
Communication Educators Facing the Arrival of Generative Artificial Intelligence: Exploration in Mexico, Peru, and Spain 传播教育工作者面对新一代人工智能的到来:墨西哥、秘鲁和西班牙的探索
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.106-114
Julio-César Mateus, Giancarlo Cappello, Nohemí Lugo, Mar Guerrero-Pico
This research explores university educators' perspectives on the opportunities, concerns, and considerations associated with Generative Artificial Intelligence (GenAI) in the training of professional communicators. Positioned at the early stages of ChatGPT's integration into educational settings, the study examines teachers' assignment instructions, assessments of ChatGPT's responses, and reflections on these outcomes. Employing a cross-sectional, qualitative methodology, the research involves a sample of 22 teachers from communication faculties in Mexico, Peru, and Spain. Utilizing Bloom’s taxonomy and an inductive approach for data analysis, the findings unveil nuanced views on GenAI's role in teaching practice. Teachers perceive ChatGPT as a tool with varying impacts depending on its application. They articulate distinct roles for ChatGPT, viewing it as either an ally or a rival, prompting discussions on anthropomorphizing technologies and emphasizing the need to empower students in GenAI tool usage, establish ethical protocols, and reconsider assessment methods, among other key considerations.
本研究探讨了大学教育工作者对生成式人工智能(GenAI)在专业交流人员培训中的相关机遇、关注点和注意事项的看法。在 ChatGPT 融入教育环境的早期阶段,本研究考察了教师的作业指导、对 ChatGPT 响应的评估以及对这些结果的反思。研究采用横断面定性方法,抽样调查了墨西哥、秘鲁和西班牙传播学院的 22 名教师。利用布鲁姆分类法和归纳法进行数据分析,研究结果揭示了对 GenAI 在教学实践中作用的细微看法。教师们认为 ChatGPT 是一种工具,其影响因应用而异。他们阐明了 ChatGPT 的不同作用,将其视为盟友或对手,从而引发了关于技术拟人化的讨论,并强调了在使用 GenAI 工具时赋予学生权力、建立道德协议和重新考虑评估方法等关键因素的必要性。
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引用次数: 0
Transforming and Reforming the Indian Education System with Artificial Intelligence 用人工智能改造和改革印度教育系统
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.98-105
Prerna Sihag, Vibha Vibha
India’s growing economy and population proves its significant stake in the Artificial lntelligence (AI) revolution. India's education and technology sector has grown exponentially over the last few years, particularly in times of Covid-19 pandemic but owing to various reasons, it is accessible to only one in four students in India. AI has proven to be of benefit to all stakeholders alike by (a) enhancing teachers' efficiency and effectiveness in managing Multi Levelled or Multi Graded Learning Units and enabling automated development of customised teaching content; (b) using Intelligent Tutoring Systems to tailor the learning materials to a child's level of competence, style and pace of learning for improving student interactivity and attention rates; and (c) for effective teacher posting and transfer systems and predicting likely student activities such as dropout rates in government schools. The research provides a comprehensive review of the rigorous inclusion of Al in India's education sector through various policy measures. According to the findings, Al increases the efficiency of grading and encourages critical thinking and analytical skills among students. Further studies can assess effective integration of AI with educational practices and policies to increase learning needs.
印度不断增长的经济和人口证明了其在人工智能(AI)革命中的重要地位。在过去几年里,印度的教育和技术部门呈指数级增长,特别是在 Covid-19 大流行时期,但由于种种原因,印度只有四分之一的学生能够接受教育和技术。事实证明,人工智能对所有利益相关者都有益处:(a) 提高教师管理多层次或多等级学习单元的效率和效果,实现定制教学内容的自动开发;(b) 利用智能辅导系统,根据儿童的能力水平、学习风格和进度定制学习材料,提高学生的互动性和注意力;(c) 实现有效的教师任职和调动系统,预测学生可能的活动,如公立学校的辍学率。这项研究全面回顾了通过各种政策措施将 Al 严格纳入印度教育部门的情况。研究结果表明,人工智能提高了评分效率,并鼓励学生的批判性思维和分析能力。进一步的研究可以评估人工智能与教育实践和政策的有效结合,以提高学习需求。
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引用次数: 0
No todas las herramientas de IA son iguales. Análisis de aplicaciones inteligentes para la enseñanza universitaria 并非所有人工智能工具都一样大学教育智能应用分析
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.141-149
Manuel Area-Moreira, Annachiara Del Prete, Ana Luisa Sanabria-Mesa, María Belén Sannicolás-Santos
Actualmente existen, además de las aplicaciones o herramientas de Inteligencia Artificial (IA) generativa y conversacional (ChatGPT, Gémini, Perpléxity, Copilot, Groq entre otras), una ingente cantidad de herramientas o apps de propósito específico para funcionalidades concretas. Éstas están en constante crecimiento y son accesibles a través de repositorios o portales en la web. En este artículo hemos realizado un estudio de dichas apps con los objetivos de: a) Identificar y caracterizar las herramientas de Inteligencia Artificial (IA) específicamente diseñadas para el ámbito de la Educación Superior, atendiendo a su funcionalidad y usabilidad didáctica; y b) Clasificar las potencialidades de uso de las herramientas IA en función de las fases del proceso de enseñanza-aprendizaje (preactiva, interactiva, postactiva) según los agentes educativos (profesorado y alumnado). Para ello se seleccionaron 118 herramientas o apps de IA creadas con fines educativos presentes en repositorios como FUTUREPEDIA o THERE´S AN AI FOR THAT. Para su revisión se creó un instrumento de análisis de elaboración propia. Se concluye que solamente un tercio de las mismas son gratuitas planteando un problema de desigualdad en el acceso a las mismas y que más de la mitad tiene una función dual: servir tanto de apoyo a la enseñanza (docentes) como al aprendizaje (estudiantes).
目前,除了生成式和对话式人工智能(AI)应用程序或工具(ChatGPT、Gémini、Perpléxity、Copilot、Groq 等)外,还有大量针对特定功能的专用工具或应用程序。这些工具或应用程序的数量在不断增加,并可通过资源库或门户网站访问。在这篇文章中,我们对这些应用程序进行了研究,目的是:a) 根据其功能和教学可用性,确定和描述专为高等教育领域设计的人工智能(AI)工具;b) 根据教学过程的不同阶段(前置、互动、后置),按照教育代理(教职员工和学生)对人工智能工具的潜在用途进行分类。为此,我们从 FUTUREPEDIA 或 THERE'S AN AI FOR THAT 等资料库中选取了 118 个为教育目的而创建的人工智能工具或应用程序。为了对这些工具进行审查,我们创建了一个自主开发的分析工具。得出的结论是,其中只有三分之一是免费的,这就造成了获取这些工具的不平等问题,而且其中一半以上具有双重功能:既支持教学(教师),也支持学习(学生)。
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引用次数: 0
A Model of Assessment co-creation in Technology-Enhanced Learning Environments in Higher Education 高等教育技术强化学习环境中的评估共创模式
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.204-213
Jennifer Saray Santana Martel, Adolfina Pérez Garcias
This paper presents a participatory design-based research that aimed to create a model of co-creation in the curriculum in Technology-Enhanced Learning Environments (TELE) in tertiary education, specifically to co-design assessment between professors and students. This qualitative research followed four phases divided into five stages with two iterative cycles of design and re-design. Accordingly, a mixed method approach was used to collect the data: systematic literature review, semi-structured interviews, and student surveys. As a result, the model highlights and distinguishes four different dimensions: characterization, co-creation, reflection, and technology. The first three dimensions are represented chronologically and the last one is present in all stages of the previous ones. Furthermore, we depicted how technology is present throughout the co-creation process and in each dimension specifically. In conclusion, this model expands the basis of co-creation in the curriculum literature and provides tools for practitioners to innovate in their academic contexts and involve students in their own learning process through co-creation. Further research in this field should be carried out, so we intend to apply this research to other fields of study and educational levels, contexts, and situations.
本文介绍了一项以参与式设计为基础的研究,旨在为高等教育中的技术强化学习环境(TELE)课程创建一个共同创造的模型,特别是在教授和学生之间共同设计评估。这项定性研究分为四个阶段,分为五个阶段,有两个设计和再设计的迭代周期。因此,研究采用了混合方法收集数据:系统的文献综述、半结构式访谈和学生调查。因此,该模型突出并区分了四个不同的维度:特征描述、共同创造、反思和技术。前三个维度按时间顺序排列,最后一个维度存在于前三个维度的所有阶段。此外,我们还描绘了技术是如何贯穿整个共同创造过程并具体体现在每个维度中的。总之,这个模型拓展了课程文献中共同创造的基础,为实践者提供了在学术环境中进行创新的工具,并通过共同创造让学生参与自己的学习过程。我们应在这一领域开展进一步的研究,因此我们打算将这一研究应用到其他研究领域和教育层次、背景和情况中。
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引用次数: 0
ICT integration in FLT: An analysis of TPACK implementation in Spanish Primary Teacher Education 将信息和传播技术融入 FLT:对西班牙小学教师教育中实施 TPACK 的分析
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.214-221
Tania F. Gómez Sánchez, M. Bobadilla-Pérez, Begoña Rumbo Arcas, Lucia Fraga-Viñas, N. M. Galán-Rodríguez
This study explores primary teachers´ initial training programs, focusing on Foreign Language Teaching (FLT) and its integration with technology. The research is grounded in two dimensions of contemporary society: plurilingual competence and digital literacy. The study employs the conceptual framework of "Technological Pedagogical Content Knowledge" (TPACK) (Mishra & Kohler, 2006) and applies content analysis methodology. The scientific interest lies in the scarcity of studies examining this specific area within the Spanish context, because research on TPACK in FLT has primarily focused on Asia and the Middle East. To address this void, a comprehensive national study encompassing 39 public universities was conducted. This study involved an in-depth analysis of 496 course guides within the field of FLT in primary education teacher training programs. The research findings indicate that less than half of the subjects incorporate technology, and when they do, two prominent trends emerge: the integration of TPACK and the presentation of technology as a broad competency, not specifically tailored to FLT. The primary conclusion drawn from this study is that the incorporation of TPACK in this context is moderate, emphasizing the need for a more comprehensive integration of technology within FLT teacher training programs.
本研究探讨了小学教师的初始培训计划,重点是外语教学(FLT)及其与技术的整合。研究立足于当代社会的两个方面:多语言能力和数字素养。研究采用了 "技术教学内容知识"(TPACK)(Mishra & Kohler, 2006)的概念框架,并运用了内容分析方法。这项研究的科学意义在于,在西班牙背景下对这一特定领域进行研究的研究很少,因为对 FLT 中 TPACK 的研究主要集中在亚洲和中东地区。为了填补这一空白,我们开展了一项涵盖 39 所公立大学的全国性综合研究。这项研究深入分析了小学教师培训项目中 FLT 领域的 496 份课程指南。研究结果表明,只有不到一半的科目包含了技术,而当这些科目包含了技术时,就会出现两个显著的趋势:整合技术知识(TPACK)和将技术作为一种广泛的能力来介绍,而不是专门针对FLT。本研究得出的主要结论是,在这一背景下,技术知识的融入程度一般,强调了在 FLT 教师培训项目中更全面地融入技术的必要性。
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引用次数: 0
Bridging Motivation and AI in Education: An Activity Theory Perspective 连接教育中的动机与人工智能:活动理论视角
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.59-67
Inna Artemova
After the pandemic, research on Artificial Intelligence (AI) in the field of education has seen a significant increase globally. Although this topic is not new to education, very few studies conducted before the pandemic addressed the problem of supporting internal motivation in students, crucial for the quality of learning and knowledge retention. This study explores the extent to which this topic is covered in recent research by conducting a cross-disciplinary literature review within the theoretical framework of Activity Theory (AT). It aims to identify the extent of coverage of all types of relationships between nodes in the educational activity system, with special attention to Subject (students) and Object, as this central relationship embodies the motive-driven nature of human activity. The analysis incorporated 69 articles from Scopus published from 2020 till present. The results demonstrate coverage of only some relationships: Subject-Tools (students interaction with AI technology), Tools-Object (development of AI technologies), Tools-Community (adapting AI within an educational community). The central relationship between Subject and Object remains unexplored. Practical implications involve developing and integrating AI tools to stimulate intrinsic motivation by emphasizing personal meaning. Theoretical outcomes involve exploring how to foster and sustain students' intrinsic motivation in relation to AI. 
大流行病之后,人工智能(AI)在教育领域的研究在全球范围内显著增加。尽管这一话题在教育领域并不陌生,但在大流行病之前,很少有研究涉及支持学生内在动力的问题,而这对学习质量和知识保持至关重要。本研究通过在活动理论(AT)的理论框架内进行跨学科文献综述,探讨了最近的研究在多大程度上涵盖了这一主题。研究旨在确定教育活动系统中各节点之间各类关系的覆盖范围,特别关注主体(学生)和客体,因为这种核心关系体现了人类活动的动机驱动性质。分析纳入了 Scopus 从 2020 年至今发表的 69 篇文章。分析结果表明,只涵盖了部分关系:主体-工具(学生与人工智能技术的互动)、工具-客体(人工智能技术的发展)、工具-社区(在教育社区内适应人工智能)。主体与客体之间的核心关系仍未得到探讨。实际意义涉及开发和整合人工智能工具,通过强调个人意义来激发内在动力。理论成果包括探索如何培养和维持学生与人工智能相关的内在动机。
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引用次数: 0
Teachers' situated knowledge: Addressing digital exclusion in rural contexts 教师的情景知识:解决农村地区的数字排斥问题
IF 1.2 Q2 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-01 DOI: 10.1344/der.2024.45.171-178
Isabel Pavez, Ángela Novoa-Echaurren, Antonio Salinas-Layana
This study delves into the intricate challenges surrounding incorporating information and communication technologies (ICTs) in education, particularly in regions characterized by digital exclusion, such as rural areas. By recognizing the potential of ICTs to support and expand student learning opportunities, this research explores the necessity for effective implementation through tailored professional development aligned with teachers' contextual conditions and needs. In addressing these challenges, the study explores the concept of technological appropriation, underscoring the significance of individual and contextual elements in adapting ICTs to users' specific needs and environments. Through unstructured face-to-face interviews with 21 teachers immersed in a digitally vulnerable rural context, this research unveils insights into how educators’ appropriate technologies to enhance student learning. The findings of this study contribute to the development of educational practices tailored to rural contexts, focusing on providing a meaningful and effective learning experience for students. By shedding light on teachers' strategies for navigating the digital landscape in challenging environments, the research aims to inform policies and practices that bridge the technological gap, ultimately fostering equitable access and enhanced educational outcomes in rural settings.
本研究深入探讨了将信息和传播技术(ICTs)纳入教育领域所面临的复杂挑战,尤其是在农村地区等数字排斥地区。认识到信息和传播技术在支持和扩大学生学习机会方面的潜力,本研究探讨了根据教师的具体情况和需求,通过有针对性的专业发展来有效实施的必要性。为了应对这些挑战,本研究探讨了技术应用的概念,强调了个人和环境因素在使信息与传播技术适应用户的特定需求和环境方面的重要性。本研究通过对 21 名身处数字环境脆弱的农村地区的教师进行非结构化的面对面访谈,揭示了教育工作者如何利用技术促进学生学习的真知灼见。本研究的发现有助于开发适合农村环境的教育实践,重点是为学生提供有意义和有效的学习体验。通过揭示教师在具有挑战性的环境中驾驭数字环境的策略,本研究旨在为弥合技术差距的政策和实践提供信息,最终促进农村环境中的公平教育机会并提高教育成果。
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引用次数: 0
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Digital Education Review
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