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Using epistemic network analysis to examine how different fantasy contexts affect online gamified class students’ behavioral engagement 利用认识论网络分析法研究不同的幻想情境如何影响网络游戏化课堂学生的行为参与度
IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-08-13 DOI: 10.1108/itse-02-2024-0043
Shurui Bai, K. Hew
PurposeAlthough numerous studies have explored gamification, its effects on student intrinsic motivation and behavioral engagement remain ambiguous. This study aims to address this gap by investigating the impacts of exogenous and endogenous fantasies on students’ intrinsic motivation, behaviors and perception of learning in gamified, fully online courses.Design/methodology/approachUsing a quasi-experimental design and mixed methods, this study involved two groups of postgraduate students: exogenous fantasy group (N = 23) and endogenous fantasy group (N = 23). Intrinsic motivation was assessed through surveys, while behavioral engagement was tracked over 10 weeks using online trace data. Semi-structured interviews gathered student insights on learning perceptions. The patterns of behavioral engagement in both fantasy groups were analyzed using epistemic network analysis.FindingsObserved behavioral data indicated a significantly higher level of intrinsic motivation in the endogenous fantasy setting. The endogenous group was more engaged in pre-task analysis and post-task reflection, while the exogenous group focused more on quiz work and post-task reflection. Participants in the endogenous fantasy setting also reported increased cognitive engagement and a strong identification with their fictional characters.Practical implicationsIntegrating endogenous fantasy into the curriculum can boost students’ intrinsic motivation, behavioral engagement and self-identification. Adopting a first-person perspective that allows students to embody the role of a virtual character is highly recommended. The use of interactive multimedia can greatly enrich the fantasy environment, resulting in a more immersive and engaging learning experience.Originality/valueThe study provides valuable insights into the impact of endogenous and exogenous fantasies on intrinsic motivation and behavioral engagement. It also stands out for its use of epistemic network analysis to assess and compare complex networks of learning task participation in two fantasy settings. Through analyzing these engagement patterns, researchers can obtain a more profound understanding of how each fantasy environment influences student engagement.
目的虽然已有许多研究对游戏化进行了探讨,但游戏化对学生内在动机和行为参与的影响仍然模糊不清。本研究旨在通过调查外源幻想和内源幻想对游戏化、全在线课程中学生内在学习动机、行为和学习感知的影响来弥补这一不足。内在动机通过调查进行评估,而行为参与则通过在线跟踪数据进行为期 10 周的跟踪。半结构式访谈收集了学生对学习感知的见解。研究结果观察到的行为数据表明,内源幻想环境中的内在动机水平明显更高。内源组更多地参与任务前分析和任务后反思,而外源组则更多地关注测验工作和任务后反思。将内源性幻想融入课程可以提高学生的内在动力、行为参与度和自我认同感。强烈建议采用第一人称视角,让学生扮演虚拟角色。使用交互式多媒体可以极大地丰富幻想环境,从而带来更加身临其境和引人入胜的学习体验。此外,该研究还利用认识网络分析来评估和比较两种幻想环境中学习任务参与的复杂网络,这一点也很突出。通过分析这些参与模式,研究人员可以更深刻地了解每种幻想环境是如何影响学生参与的。
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引用次数: 0
Using epistemic network analysis to examine how different fantasy contexts affect online gamified class students’ behavioral engagement 利用认识论网络分析法研究不同的幻想情境如何影响网络游戏化课堂学生的行为参与度
IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-08-13 DOI: 10.1108/itse-02-2024-0043
Shurui Bai, K. Hew
PurposeAlthough numerous studies have explored gamification, its effects on student intrinsic motivation and behavioral engagement remain ambiguous. This study aims to address this gap by investigating the impacts of exogenous and endogenous fantasies on students’ intrinsic motivation, behaviors and perception of learning in gamified, fully online courses.Design/methodology/approachUsing a quasi-experimental design and mixed methods, this study involved two groups of postgraduate students: exogenous fantasy group (N = 23) and endogenous fantasy group (N = 23). Intrinsic motivation was assessed through surveys, while behavioral engagement was tracked over 10 weeks using online trace data. Semi-structured interviews gathered student insights on learning perceptions. The patterns of behavioral engagement in both fantasy groups were analyzed using epistemic network analysis.FindingsObserved behavioral data indicated a significantly higher level of intrinsic motivation in the endogenous fantasy setting. The endogenous group was more engaged in pre-task analysis and post-task reflection, while the exogenous group focused more on quiz work and post-task reflection. Participants in the endogenous fantasy setting also reported increased cognitive engagement and a strong identification with their fictional characters.Practical implicationsIntegrating endogenous fantasy into the curriculum can boost students’ intrinsic motivation, behavioral engagement and self-identification. Adopting a first-person perspective that allows students to embody the role of a virtual character is highly recommended. The use of interactive multimedia can greatly enrich the fantasy environment, resulting in a more immersive and engaging learning experience.Originality/valueThe study provides valuable insights into the impact of endogenous and exogenous fantasies on intrinsic motivation and behavioral engagement. It also stands out for its use of epistemic network analysis to assess and compare complex networks of learning task participation in two fantasy settings. Through analyzing these engagement patterns, researchers can obtain a more profound understanding of how each fantasy environment influences student engagement.
目的虽然已有许多研究对游戏化进行了探讨,但游戏化对学生内在动机和行为参与的影响仍然模糊不清。本研究旨在通过调查外源幻想和内源幻想对游戏化、全在线课程中学生内在学习动机、行为和学习感知的影响来弥补这一不足。内在动机通过调查进行评估,而行为参与则通过在线跟踪数据进行为期 10 周的跟踪。半结构式访谈收集了学生对学习感知的见解。研究结果观察到的行为数据表明,内源幻想环境中的内在动机水平明显更高。内源组更多地参与任务前分析和任务后反思,而外源组则更多地关注测验工作和任务后反思。将内源性幻想融入课程可以提高学生的内在动力、行为参与度和自我认同感。强烈建议采用第一人称视角,让学生扮演虚拟角色。使用交互式多媒体可以极大地丰富幻想环境,从而带来更加身临其境和引人入胜的学习体验。此外,该研究还利用认识网络分析来评估和比较两种幻想环境中学习任务参与的复杂网络,这一点也很突出。通过分析这些参与模式,研究人员可以更深刻地了解每种幻想环境是如何影响学生参与的。
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引用次数: 0
Investigating in-service teachers’ views on ChatGPT integration 调查在职教师对 ChatGPT 整合的看法
IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-29 DOI: 10.1108/itse-04-2024-0094
Z. Hojeij, M. Kuhail, A. Elsayary
PurposeThis study aims investigate in-service teachers’ perspectives on the integration of ChatGPT, an artificial intelligence (AI)-driven chatbot, into United Arab Emirates (UAE) private schools. As the UAE progresses towards a knowledge-based economy, aligning with the goals of the UAE 2030 vision, this research assesses the capacity of ChatGPT to enhance the educational experience within the framework of technological pedagogical content knowledge.Design/methodology/approachA mixed-methods approach is used, combining a survey assessing teachers’ attitudes and a thematic analysis of open-ended responses, to explore the effectiveness, challenges and pedagogical implications of ChatGPT’s use in the classroom.FindingsFindings reveal that teachers value ChatGPT for its potential to individualize learning and streamline the creation of educational materials, aligning with the shift towards student-centred approaches and the demands of 21st-century skills. However, significant challenges are noted, including ethical concerns, the need for reliable content and a necessity for extensive professional development to fully realize ChatGPT’s benefits.Practical implicationsWhile ChatGPT transforms teaching and learning practices, realizing this potential requires addressing critical issues through adaptive policy-making, continuous educator training and thoughtful integration into the curriculum.Originality/valueThe study highlights the importance of a collaborative approach to dealing with the details of AI in education, ensuring that advancements like ChatGPT align with the evolving educational paradigms of the UAE.
目的 本研究旨在调查在职教师对将人工智能(AI)驱动的聊天机器人 ChatGPT 融入阿拉伯联合酋长国(UAE)私立学校的看法。随着阿联酋向知识型经济迈进,并与阿联酋 2030 愿景的目标保持一致,本研究评估了 ChatGPT 在技术教学内容知识框架内提升教育体验的能力。研究结果研究结果表明,教师重视 ChatGPT,因为它具有个性化学习和简化教材制作的潜力,符合向以学生为中心的方法转变和 21 世纪技能的要求。然而,我们也注意到了一些重大挑战,包括道德问题、对可靠内容的需求以及为充分实现 ChatGPT 的优势而进行广泛的专业发展的必要性。虽然 ChatGPT 改变了教学和学习实践,但要实现这一潜力,需要通过适应性政策制定、持续的教育工作者培训以及与课程的周到整合来解决关键问题。
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引用次数: 0
From traditional to virtual classrooms: unravelling themes and shaping the future of metaverse education 从传统课堂到虚拟课堂:揭示主题,塑造元数据教育的未来
IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-26 DOI: 10.1108/itse-02-2024-0032
Alisha Waquar, Sujood, Saima Kareem, Nusrat Yasmeen, Sarah Hussain
PurposeThis study aims to conduct a comprehensive review of scholarly literature on the educational impacts of the metaverse, systematically identifying emerging themes, challenges and implications for metaverse education.Design/methodology/approachThe study uses systematic literature review techniques using the Scopus database to investigate empirical studies and systematic reviews specifically examining the convergence of the metaverse and education.FindingsThe study shows that the metaverse has a substantial influence on education, emphasising immersive learning, real social interactions and the transformation of traditional frameworks. This paper identifies nine themes, illuminating the growing relevance of metaverse tools in academic institutions, influencing learning methods, outcomes and positive student dispositions.Research limitations/implicationsThis study provides a foundation for further investigations into the metaverse’s potential to disseminate knowledge and enhance comprehension of metaverse technologies. It explores the metaverse’s potential in relation to progress, upcoming trends and cultural awareness while highlighting obstacles that must be addressed for effective metaverse teaching.Originality/valueThis research paper makes a substantial scholarly contribution by undertaking a systematic analysis of empirical studies and identifying emerging themes in the area of metaverse education. It offers substantial insights into the transformative potential of metaverse education and its implications for pedagogical and instructional approaches in the digitised era through the analysis of fundamental inquiries.
目的本研究旨在对有关元数据对教育的影响的学术文献进行全面审查,系统地确定新出现的主题、挑战和对元数据教育的影响。研究结果本研究表明,元数据对教育具有重大影响,强调沉浸式学习、真实的社会互动和传统框架的转变。本文确定了九个主题,揭示了元数据工具在学术机构中日益增长的相关性,影响了学习方法、学习成果和学生的积极态度。研究局限/影响本研究为进一步研究元数据在传播知识和提高对元数据技术的理解方面的潜力奠定了基础。本研究论文对实证研究进行了系统分析,并确定了元数据教育领域新出现的主题,从而做出了重要的学术贡献。通过对基本问题的分析,论文对元数据教育的变革潜力及其在数字化时代对教学和指导方法的影响提出了重要见解。
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引用次数: 0
Effects of jigsaw learning strategy integrated with computer simulations on grade 10 students’ achievement and attitude and their correlations in chemistry 结合计算机模拟的拼图学习策略对十年级学生化学学习成绩和态度及其相关性的影响
IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-22 DOI: 10.1108/itse-01-2024-0002
Shimelis Kebede Kekeba, A. Gure, T. T. Olkaba
PurposeThe purpose of this study was to investigate the impact of using a jigsaw learning strategy integrated with computer simulation (JLSICS) on the academic achievement and attitudes of students, along with exploring the relationships between them in the process of learning about acids and bases.Design/methodology/approachThe research design used in the study was quasi-experimental, using non-equivalent comparison groups for both pre- and post-tests. A quantitative approach was used to address the research problem, with three groups involved: two experimental and one comparative group. The treatment group, which received the JLSICS intervention, consisted of two intact classes, while the comparison group included one intact class. Data collection involved achievement tests and attitude scale tests on acid and base. Various statistical analyses such as one-way analysis of variance, one-way multivariate analysis of variance, Pearson product-moment correlation, mean and standard deviation were used for data analysis.FindingsThe study’s results revealed that the incorporation of the JLSICS had a beneficial influence on the academic achievement and attitudes of grade 10 chemistry students towards acid and base topics. The JLSICS approach proved to be more successful than both conventional methods and the standalone use of the jigsaw learning strategy (JLS) in terms of both achievement and attitudes. The research demonstrated a correlation between positive attitudes towards chemistry among high school students and enhanced achievement in the subject.Research limitations/implicationsThe study only focused on one specific aspect of chemistry (acid and base chemistry), which restricts the applicability of the findings to other chemistry topics or subjects. In addition, the study used a quasi-experimental design with a pretest-posttest comparison group, which may introduce variables that could confound the results and restrict causal inferences.Practical implicationsThis study addresses the gap in instructional interventions and provides theoretical and practical insights. It emphasizes the importance of incorporating contemporary instructional methods for policymakers, benefiting the government, society and students. By enhancing student achievement, attitudes and critical thinking skills, this approach empowers students to take charge of their learning, fostering deep understanding and analysis. Furthermore, JLSICS aids in grasping abstract chemistry concepts and has the potential to reduce costs associated with purchasing chemicals for schools. This research opens doors for similar studies in different educational settings, offering valuable insights for educators and policymakers.Originality/valueThe originality and value of this study are in its exploration of integrating the jigsaw learning strategy with computer simulations as an instructional approach in chemistry education. This research contributes to the existing literat
本研究的目的是调查使用与计算机模拟相结合的拼图学习策略(JLSICS)对学生学习成绩和学习态度的影响,同时探讨在学习酸和碱的过程中它们之间的关系。研究采用定量方法解决研究问题,涉及三个小组:两个实验组和一个对比组。接受 JLSICS 干预的治疗组包括两个完整的班级,而对比组包括一个完整的班级。数据收集包括成绩测试和酸碱态度量表测试。数据分析采用了各种统计分析方法,如单向方差分析、单向多元方差分析、皮尔逊积矩相关、平均值和标准偏差等。事实证明,就成绩和态度而言,拼图式学习策略(JLS)比传统方法和单独使用拼图式学习策略(JLS)更成功。研究的局限性/意义该研究只关注化学的一个特定方面(酸碱化学),这限制了研究结果对其他化学主题或科目的适用性。此外,本研究采用了准实验设计,并设置了一个前测-后测对比组,这可能会引入一些变量,从而混淆结果并限制因果推论。它为决策者强调了采用现代教学方法的重要性,使政府、社会和学生受益。通过提高学生的学习成绩、态度和批判性思维能力,这种方法使学生能够掌握自己的学习方法,促进深刻理解和分析。此外,JLSICS 还有助于掌握抽象的化学概念,并有可能降低学校购买化学品的相关成本。本研究为在不同的教育环境中开展类似研究打开了大门,为教育工作者和政策制定者提供了宝贵的见解。本研究的原创性和价值在于它探索了将拼图学习策略与计算机模拟相结合作为化学教育的一种教学方法。本研究显示了 JLSICS 在提高学生成绩和改善学生对酸和碱主题的态度方面的有效性,从而为现有文献做出了贡献。研究还强调了培养学生对化学的积极态度对提高化学学科整体成绩的重要性。
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引用次数: 0
Impact of media antecedents on persistence and learning outcomes of MOOC learners 媒体前因对 MOOC 学习者坚持学习和学习成果的影响
IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-16 DOI: 10.1108/itse-12-2023-0233
Yung-Ming Cheng
PurposeThe purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to explore whether social media affordances and media richness as environmental stimuli to learners’ involvement elicited by massive open online courses (MOOCs) can affect their learning persistence in MOOCs and, in turn, their learning outcomes in MOOCs. This study further examines whether demographic variables can moderate the relationship between learners’ learning persistence in MOOCs and their learning outcomes.Design/methodology/approachSample data for this study were collected from learners who had experience in taking MOOCs provided by the MOOCs platform launched by a well-known university in Taiwan, and 396 usable questionnaires were analyzed using structural equation modeling.FindingsThis study proved that learners’ perceived social media affordances and media richness in MOOCs positively influenced their cognitive involvement and affective involvement elicited by MOOCs, which concurrently expounded their learning persistence in MOOCs and, in turn, uplifted their learning outcomes in MOOCs. The results support all proposed hypotheses and the research model, respectively, explains 70.5% and 61.8% of the variance in learners’ learning persistence in MOOCs and learning outcomes. Besides, this study showed that learners’ usage experience moderated the relationship between learners’ learning persistence in MOOCs and their learning outcomes.Originality/valueThis study uses the S-O-R model as a theoretical groundwork to construct learners’ learning outcomes in MOOCs as a series of the psychological process, which is affected by social media affordances and media richness. Noteworthily, while the S-O-R model has been extensively used in previous literature, little research uses the S-O-R model to explain the media antecedents of learners’ learning persistence and learning outcomes in MOOCs. Hence, this study enriches the research for understanding how learners value their learning gains via using media features to support them in MOOCs.
目的本研究旨在提出一个基于刺激-组织-反应(S-O-R)模型的研究模式,以探讨社交媒体的可负担性和媒体的丰富性作为大规模开放在线课程(MOOCs)激发学习者参与的环境刺激,是否会影响学习者在MOOCs中的学习坚持性,进而影响他们在MOOCs中的学习成果。本研究进一步探讨了人口统计学变量是否能调节学习者在MOOCs中的学习坚持性与其学习结果之间的关系。本研究的样本数据来自于台湾某知名大学推出的MOOCs平台,这些学习者都有参加MOOCs学习的经历,本研究使用结构方程模型对396份可用问卷进行了分析。研究结果本研究证明,学习者在MOOCs中感知到的社交媒体可负担性和媒体丰富性对他们在MOOCs中激发的认知卷入和情感卷入有积极影响,这同时也提高了他们在MOOCs中的学习持久性,进而提升了他们在MOOCs中的学习效果。研究结果支持了所有假设,研究模型分别解释了学习者在 MOOCs 中的学习坚持性和学习成果的 70.5% 和 61.8%。原创性/价值 本研究以S-O-R模型为理论基础,将学习者在MOOCs中的学习结果构建为一系列心理过程,而这一心理过程又受到社交媒体可承受性和媒体丰富性的影响。值得注意的是,虽然S-O-R模型在以往的文献中被广泛使用,但很少有研究使用S-O-R模型来解释MOOCs中学习者学习坚持性和学习结果的媒介前因。因此,本研究丰富了研究内容,有助于了解学习者如何通过使用媒体功能来支持他们在MOOCs中的学习。
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引用次数: 0
Examining learners’ cognitive processes and learning emotions in digital game-based vocabulary learning: evidence from eye-tracking technology and facial emotion recognition 考察学习者在基于数字游戏的词汇学习中的认知过程和学习情绪:来自眼动跟踪技术和面部情绪识别的证据
IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-16 DOI: 10.1108/itse-01-2024-0015
Chun-Chia Wang, Hsuan-Chu Chen, Jason C. Hung
PurposeThis research explored the intersection of cognitive processes, emotions and their impacts on digital game-based vocabulary learning (DGVL) among university students. Recognizing the scant research in this area, especially with integrating innovative technologies, this study aims to understand the influence of these elements using advanced monitoring tools.Design/methodology/approachThis inquiry was carried out as an observational study involving 44 university students segmented into three English language proficiency levels: high, intermediate and low based on their English course scores. The methodological tools included a portable eye tracker to observe visual behaviors and deep learning technology to identify and analyze the participants’ emotional responses and engagement with the DGVL during the learning process.FindingsThe results showed that distinct fixation sequences and variations in visual attention during DGVL were correlated with different levels of competency, suggesting a direct correlation between visual engagement and language competence. In addition, emotional transitions, predominantly from engagement (“flow”) to challenge (“frustration”), were common among participants, reflecting the emotional dynamics of learning. Furthermore, all participants consistently focused on the English vocabulary definitions, indicative of their targeted approach to understanding and test preparation. These findings highlighted the intricate dynamics between emotions and cognitive processes in learning environments.Originality/valueContribution of this study shows the interplay of cognitive engagement and emotional experiences in the context of DGVL. It underscored the complex nature of these factors and their collective influence on learners’ visual and emotional engagement, offering valuable implications for educational strategies and technological applications in language learning.
目的本研究探讨了认知过程、情感及其对大学生基于数字游戏的词汇学习(DGVL)的影响。由于该领域的研究较少,尤其是与创新技术相结合的研究,本研究旨在利用先进的监测工具了解这些因素的影响。研究结果表明,在 DGVL 学习过程中,不同的固定顺序和视觉注意力变化与不同的能力水平相关,这表明视觉参与和语言能力之间存在直接关联。此外,参与者的情绪过渡也很常见,主要是从参与("流动")到挑战("挫折"),这反映了学习的情绪动态。此外,所有参与者都始终关注英语词汇定义,这表明他们有针对性地理解和准备考试。这些发现凸显了学习环境中情绪与认知过程之间错综复杂的动态关系。它强调了这些因素的复杂性及其对学习者视觉和情感参与的共同影响,为语言学习中的教育策略和技术应用提供了有价值的启示。
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引用次数: 0
Transformative learning with ChatGPT: analyzing adoption trends and implications for business management students in India 使用 ChatGPT 进行变革性学习:分析采用趋势和对印度商业管理专业学生的影响
IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-16 DOI: 10.1108/itse-10-2023-0202
Tapas Sudan, Arjun Hans, Rashi Taggar
PurposeThe intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT.Design/methodology/approachWhile evaluating ChatGPT's adoption dynamics, this study analyses the UTAUT2 core factors and perceived benefits. Real-time data from 638 business and management students in India were collected through purposive sampling and a cross-sectional survey. An in-depth examination using IBM SPSS and AMOS revealed the patterns that regulate ChatGPT reception in educational settings.FindingsHabit emerges as a powerful predictor, which aligns with the Habit Loop Theory's cues, routine and rewards. Perceived benefits significantly influence adoption, and traditional factors like performance expectancy and social influence exert no influence. The insignificance of effort expectancy challenges conventional understanding, unveiling novel aspects of student tech adoption.Social implicationsThere is a need for guidelines to ensure fair and responsible use of ChatGPT among students. While ChatGPT presents advantages like task automation and personalized learning, integrating it into the existing education system requires careful planning to harness its benefits effectively.Originality/valueWith the recent introduction of Generative-AI tools, understanding student acceptance and application is essential. This research sheds light on this emerging technology, emphasizing the importance of analyzing technology acceptance for its successful adoption.
目的 在探讨技术接受和使用统一理论 2(UTAUT2)所列因素的同时,讨论印度学生采用 ChatGPT 的复杂动态。在评估 ChatGPT 的采用动态时,本研究分析了 UTAUT2 的核心因素和感知收益。通过有目的的抽样和横截面调查,收集了来自印度 638 名商业和管理专业学生的实时数据。使用 IBM SPSS 和 AMOS 进行的深入研究揭示了在教育环境中调节 ChatGPT 接收的模式。研究结果习惯是一个强有力的预测因素,它与习惯循环理论的线索、常规和奖励相一致。感知到的益处会对采用产生重大影响,而传统因素,如成绩预期和社会影响则不会产生影响。努力期望值的微不足道挑战了人们的传统认识,揭示了学生科技应用的新方面。 社会影响有必要制定指导方针,确保学生公平、负责任地使用 ChatGPT。虽然 ChatGPT 具有任务自动化和个性化学习等优势,但要将其整合到现有的教育系统中,还需要仔细规划,才能有效利用其优势。本研究揭示了这一新兴技术,强调了分析技术接受度对成功采用该技术的重要性。
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引用次数: 0
Effects of educational technology intervention on creative thinking in educational settings: a meta-analysis 教育技术干预对教育环境中创造性思维的影响:荟萃分析
IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-07-02 DOI: 10.1108/itse-11-2023-0224
Zeinab Zaremohzzabieh, Seyedali Ahrari, Haslinda Abdullah, R. Abdullah, Mahboobeh Moosivand
PurposeThis study aims to meta-analytically investigate the impact of educational technology interventions on the development of creative thinking in educational settings. In recent years, the debate among researchers has persisted regarding the impact of various educational technologies, including interactive learning environments, digital instruction and platforms, and educational games and robotics, on students' creative thinking in diverse educational settings due to inconsistent findings.Design/methodology/approachThis study, conducting a meta-analysis by synthesizing 35 relevant empirical studies with 2,776 participants, aims to investigate the association between educational technology interventions and the Torrance Tests of Creative Thinking (TTCT) and its subscales (fluency, flexibility, originality and elaboration).FindingsNo evident publication bias was found. From a general perspective, the results demonstrate a moderate level of influence of educational technology on the overall TTCT scale, with high heterogeneity attributed to the adopted instruments, mixed methods and target outcomes. Additionally, the results indicate that only three of the TTCT subscales (fluency, flexibility and originality) are influenced by educational technologies. Among the interventions, interactive learning environments yielded medium to the largest mean effect size. Furthermore, moderator analyses suggest that the effects of interventions on two subscales of TTCT (flexibility and originality) are moderated by school types, research design and the duration of intervention. The conclusion drawn is that interventions promoting students' creative thinking in different educational settings are efficacious.Originality/valueDespite the low homogeneity of the results, which might have influenced the findings, the large fail-safe N suggests that these findings are robust. The study examined potential causes of heterogeneity and emphasized the importance of further research in this area.
目的 本研究旨在对教育环境中教育技术干预对创造性思维发展的影响进行元分析调查。近年来,由于研究结果不一致,研究人员对各种教育技术(包括互动学习环境、数字教学和平台、教育游戏和机器人)在不同教育环境中对学生创造性思维的影响一直存在争议。本研究通过综合 35 项相关实证研究(共有 2,776 人参与)进行荟萃分析,旨在调查教育技术干预措施与托伦斯创造性思维测试(TTCT)及其分量表(流畅性、灵活性、独创性和详尽性)之间的关联。从总体上看,研究结果表明教育技术对整个 TTCT 量表的影响程度适中,所采用的工具、混合方法和目标结果具有高度异质性。此外,结果表明,在 TTCT 分量表中,只有三个分量表(流畅性、灵活性和独创性)受到教育技术的影响。在各种干预措施中,互动学习环境产生的平均效应大小为中等至最大。此外,调节分析表明,干预措施对 TTCT 两个分量表(灵活性和独创性)的影响受到学校类型、研究设计和干预持续时间的调节。得出的结论是,在不同的教育环境中,促进学生创造性思维的干预措施是有效的。原创性/价值尽管研究结果的同质性较低,可能会对研究结果产生影响,但大的失效安全 N 表明这些研究结果是稳健的。该研究探讨了异质性的潜在原因,并强调了在这一领域开展进一步研究的重要性。
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引用次数: 0
Do learners exhibit a willingness to use ChatGPT? An advanced two-stage SEM-neural network approach for forecasting factors influencing ChatGPT adoption 学习者是否愿意使用 ChatGPT?采用先进的两阶段 SEM-神经网络方法预测 ChatGPT 采用的影响因素
IF 4.4 Q1 Social Sciences Pub Date : 2024-06-17 DOI: 10.1108/itse-01-2024-0001
Nattaporn Thongsri, O. Tripak, Yukun Bao
PurposeThis study aims to examine the variables that influence learners’ acceptance of chat generative pre-trained transformer (ChatGPT) through the theoretical synthesis of variables in the field of behavioral science. It uses the use and gratifications theory in conjunction with variables related to the information system (IS), as proposed by the Delone and McLean IS success model.Design/methodology/approachThis quantitative research collected data from 679 undergraduate students using stratified random sampling. A two-staged structural equation modeling (SEM)-neural network approach was used to analyze the data, with SEM used to study the factors influencing the intention to use ChatGPT. Additionally, an artificial neural network approach was used to confirm the results obtained through SEM.FindingsThe two-staged SEM-neural network approach yielded robust and consistent analysis results, indicating that the variable “System quality (SYQ)” has the highest influence, followed by “Cognitive need (CN),” “Information Quality (INQ),” “Social need (SN)” and “Affective need (AN)” in descending order of importance.Practical implicationsThe results obtained from integrating the behavioral variables with IS variables will provide guidance to various organizations, such as the Ministry of Education, universities and educators, in the application of artificial intelligence technology in learning. They should prioritize the quality aspect of the system and the technological infrastructure that supports the use of ChatGPT for learning. Additionally, they should prepare learners to be ready in various dimensions, including knowledge, emotions and social aspects.Originality/valueThis study presents challenges in implementing artificial intelligence technology in learning, which educational institutions must embrace to keep up with the global technological trends. The educational sector should integrate artificial intelligence into the curriculum planning, teaching methods and learner assessment processes from the outset.
目的本研究旨在通过对行为科学领域的变量进行理论综合,研究影响学习者接受聊天生成式预培训转换器(ChatGPT)的变量。本研究采用分层随机抽样的方法,从 679 名本科生中收集了数据。采用结构方程建模(SEM)-神经网络两阶段方法对数据进行分析,其中结构方程建模用于研究影响使用 ChatGPT 意向的因素。结果两阶段的 SEM-神经网络方法得出了稳健一致的分析结果,表明变量 "系统质量 (SYQ) "的影响最大,其次是 "认知需求 (CN)"、"信息质量 (INQ)"、"社交需求 (SN)" 和 "情感需求 (AN)",影响程度依次递减。实际意义将行为变量与 IS 变量整合后得出的结果将为教育部、大学和教育工作者等各种组织在学习中应用人工智能技术提供指导。他们应优先考虑系统的质量和支持使用 ChatGPT 学习的技术基础设施。此外,他们还应让学习者做好各方面的准备,包括知识、情感和社会方面。原创性/价值这项研究提出了在学习中实施人工智能技术的挑战,教育机构必须接受这些挑战,以跟上全球技术发展趋势。教育部门应从一开始就将人工智能融入课程规划、教学方法和学习者评估过程。
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引用次数: 0
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Interactive Technology and Smart Education
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