BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY英国教育技术杂志

BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY(英文缩写 BRIT J EDUC TECHNOL),ISSN 0007-1013,eISSN 1467-8535,中文译名:英国教育技术杂志 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
13.000
JCR 分区
Q1
CAS 分区
B1
近一年发文量
0
本站 PubMed 收录统计

发文量统计区间:2025-11-01 至 2026-10-31,按本站收录文献的发表日期统计。

ISSN: 0007-1013 · eISSN: 1467-8535 · 缩写: BRIT J EDUC TECHNOL ·中文: 英国教育技术杂志

期刊介绍

选择期刊介绍栏目

期刊简介

《British Journal of Educational Technology》是教育技术领域的国际权威期刊,聚焦技术如何促进学习、教学与教育变革。主要发表实证研究、理论探讨与系统综述,涵盖在线学习、人工智能教育应用、学习分析、移动学习及教师专业发展等方向。读者群包括教育技术研究者、高校教师、教育政策制定者及教学设计人员,适合关注技术赋能教育前沿进展的专业人士。

研究方向

主要研究方向包括数字学习环境设计、教育人工智能、学习分析与数据驱动教学、移动与混合学习、游戏化学习、教师技术能力发展及教育技术政策评估。论文类型以实证研究、元分析与系统综述为主,兼收理论建构与设计研究,强调研究方法的严谨性与教育实践的相关性。

期刊特色

该刊重视研究对教育理论与实践的实质贡献,偏好方法透明、数据扎实且具有国际比较视野的稿件。论文通常需清晰阐述技术干预的设计逻辑与效果证据。适合教育技术、学习科学、教师教育及教育政策领域的研究者与研究生阅读和投稿。

投稿难度

投稿难度较高,竞争激烈,对理论深度、方法严谨性和实践意义均有较高要求。建议作者在投稿前明确研究问题与理论框架,完善研究设计,充分呈现数据与局限,并针对教育技术领域的国际读者打磨表达,避免仅凭分区或指标判断录用可能性。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
20215.268Q1
20226.600Q1
20236.700Q1
20248.100Q1
202513.000Q1

BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY 最新收录文献

  1. JCR分区: Q1 CAS分区: B1 影响因子: 13

    1. Assessing approaches to learning with nonparametric multidimensional scaling.

    作者:
    Gerald Knezek, David Gibson, Rhonda Christensen, Ottavia Trevisan, Morgan Carter
    日期:
    2022-09-05

    This article reports on a trace-based assessment of approaches to learning used by middle school aged children who interacted with NASA Mars Mission science, technology, engineering and mathematics (STEM) games in , an online game environment with 8 million registered young learners. The learning objectives of two games included awareness and knowledge of NASA missions, developing knowledge and skills of measurement and scaling, applying measurement for planetary comparisons in the solar system. Trace data from 1361 interactions were analysed with nonparametric multidimensional scaling methods, which permitted visual examination and statistical validation, and provided an example and proof of concept for the multidimensional scaling approach to analysis of time-based behavioural data from a game or simulation. Differences in approach to learning were found illustrating the potential value of the methodology to curriculum and game-based learning designers as well as other creators of online STEM content for pre-college youth. The theoretical framework of the method and analysis makes use of the Epistemic Network Analysis toolkit as a post hoc data exploration platform, and the discussion centres on issues of semantic interpretation of interaction end-states and the application of evidence centred design in post hoc analysis.

  2. JCR分区: Q1 CAS分区: B1 影响因子: 13

    2. Data practices during COVID: Everyday sensemaking in a high-stakes information ecology.

    2. COVID期间的数据实践:高风险信息生态中的日常意义建构
    作者:
    Josh Radinsky, Iris Tabak
    日期:
    2022-06-20

    How do people reason with data to make sense of the world? What implications might everyday practices hold for data literacy education? We leverage the unique context of the COVID-19 pandemic to shed light on these questions. COVID-19 has engendered a complex, multimodal ecology of information resources, with which people engage in high-stakes sensemaking and decision-making. We take a relational approach to data literacy, examining how people navigate and interpret data through interactions with tools and other people. Using think-aloud protocols, a diverse group of people described their COVID-19 information-seeking practices while working with COVID-19 information resources they use routinely. Although participants differed in their disciplinary background and proficiency with data, they each consulted data frequently and used it to make sense of life in the pandemic. Three modes of interacting with data were examined: scanning, looking closer and puzzling through. In each of these modes, we examined the balance of agency between people and their tools; how participants experienced and managed emotions as part of exploring data; and how issues of trust mediated their sensemaking. Our findings provide implications for cultivating more agentic publics, using a relational lens to inform data literacy education. What is already known about this topic Many people, even those with higher education, struggle with interpreting quantitative data representations.Social and emotional factors influence cognition and learning.People are often overwhelmed by the abundance of available information online.There is a need for data literacy approaches that are and . What this paper adds Everyday data practices can be variable and adaptable, and include engaging with data at different levels: scanning, looking closer, and puzzling through. Each of these modes involves different data practices.People, independently of their quantitative interpretation skills and disciplinary backgrounds, may engage differently with data (eg, avoiding versus delving deeper) based on their emotional responses, level of trust or interpersonal relationships that are evoked by the data.These everyday data practices have implications for people's sense of their own agency with data and involve emotional and trust-based relationships that shape their interpretations of data. These relational aspects of data literacy suggest productive directions for data literacy education. Implications for practice and/or policy Data literacy can be taught as a process that is inherently relational, for example, by discussing the ways in which learners are personally connected to different data, what emotions these connections evoke, and how that affects the ways in which they attend to, trust and interpret the data.Data literacy education can cultivate a wider range of data practices at a variety of depths of interaction, rather than prioritizing only in-depth inquiry.It may be helpful to include complex experiences with data sources that require learners to go beyond a binary "trustworthy/untrustworthy" distinction, so that learners can become more strategic, nuanced and intentional in forming a variety of trust relationships with different sources.Discussing how learners' everyday data practices interact with different data representations and tools can help them become more critically aware of the possible purposes, values, and risks associated with their everyday data practices.

  3. JCR分区: Q1 CAS分区: B1 影响因子: 13

    3. Identifying factors influencing study skills engagement and participation for online learners in higher education during COVID-19.

    作者:
    Khristin Fabian, Sally Smith, Ella Taylor-Smith, Debbie Meharg
    日期:
    2022-04-27

    The COVID-19 pandemic disrupted education across the world as campuses closed to restrict the spread of the virus. UK universities swiftly migrated to online delivery. The experiences of students and staff during this transition can inform our return to campus and our ability to deal with future disruption. This study draws on Moore's theory of transactional distance to understand factors influencing student study skills engagement and participation in online learning during this period. We surveyed students ( = 178) in a computing school at a UK university. A partial least squares (PLS) analysis was used to explore the influence of transactional distance (between students/teachers and between students/students), access to e-learning capital, and perceived usefulness on two measures: study skills engagement and participation in online collaborative activity. Results show that transactional distance influences participation, and e-learning capital influences study skills engagement. Our findings suggest that if universities continue with aspects of online learning for previously on-campus students they should provide access to infrastructure and training on utilising the online ecosystem to avoid disadvantaging students. Further investment in students' e-learning capital, such as signposting and adapting existing resources, is also necessary to support this key influence in study skills engagement.

  4. JCR分区: Q1 CAS分区: B1 影响因子: 13
  5. JCR分区: Q1 CAS分区: B1 影响因子: 13

    5. An MDRE approach to promoting students' learning performances in the era of the pandemic: A quasi-experimental design.

    作者:
    Gwo-Jen Hwang, Chin-Lan Yang, Kuei-Ru Chou, Ching-Yi Chang
    日期:
    2022-03-02

    Educators have indicated the need to foster students' ability to solve problems by acquiring up-to-date knowledge as well as promoting their competences for making decisions from diverse perspectives based on the acquired knowledge. Traditional courses mainly use lecture-based instruction without providing sufficient opportunities for students to practice and interact with the teacher; therefore, it is difficult to deliver such up-to-date knowledge via traditional instruction, not to mention fostering students' critical thinking. In this study, the Mobile technology-supported Decision, Reflection and Exercise (MDRE) model is proposed to address this problem. Moreover, a learning system is developed based on the proposed approach. To evaluate the effectiveness of the proposed approach, a quasi-experiment was conducted in a university with a two-group pretest posttest design to assess participants' learning achievement, critical thinking and learning satisfaction. The participants were two classes of undergraduate students. One class with 37 students was the experimental group learning with the MDRE learning approach, whereas the other class with 37 students was the control group learning with the conventional technology-based learning approach. Analysis of covariance was performed to evaluate the effect of the intervention on the target outcomes. It was found that the experimental group showed better learning achievement, critical thinking and learning satisfaction than the control group. This implies that the MDRE approach has good potential in helping learners think from diverse perspectives and promoting their learning performance and engagement, which is important in higher education aimed at fostering students' competence of acquiring up-to-date knowledge for solving problems.

  6. JCR分区: Q1 CAS分区: B1 影响因子: 13

    6. Transforming a doctoral summer school to an online experience: A response to the COVID-19 pandemic.

    作者:
    Alison Cullinane, Debra McGregor, Sarah Frodsham, Judith Hillier, Liam Guilfoyle
    日期:
    2022-03-01

    For the last 28 years, one of the leading international science education organisations has regularly provided a week-long summer school experience for doctoral students. In summer 2020, the COVID-19 pandemic prevented international travel and close-contact interactions between scholars. This required the transformation and relocation of learning interactions between mentors and doctoral students online through a virtual week-long summer school. All doctoral participants, from across the five continents, were invited to reflectively comment on their educative experience after the online event. This paper consequently presents the perspectives of these science education PhD students who engaged with the transformed virtual summer school to consider how the range of varied online interactions maintained the learning opportunities for them and enabled their introduction to an established research community. The study indicates how the digital activities facilitated and maintained high-quality learning exchanges through a varied array of intellectual activities involving both experienced and novice scholars. The findings demonstrate how successful academic outcomes can be achieved remotely while minimising international travel and significantly reducing financial outlay. This was achieved through creatively structuring a week-long virtual experience and combining a series of synchronous and asynchronous learning opportunities for different groupings of participants within the international summer school community.

  7. JCR分区: Q1 CAS分区: B1 影响因子: 13

    7. How student perceptions about online learning difficulty influenced their satisfaction during Canada's Covid-19 response.

    作者:
    Colin Conrad, Qi Deng, Isabelle Caron, Oksana Shkurska, Paulette Skerrett, Binod Sundararajan
    日期:
    2022-02-26

    The COVID-19 pandemic has posed a significant challenge to higher education and forced academic institutions across the globe to abruptly shift to remote teaching. Because of the emergent transition, higher education institutions continuously face difficulties in creating satisfactory online learning experiences that adhere to the new norms. This study investigates the transition to online learning during Covid-19 to identify factors that influenced students' satisfaction with the online learning environment. Adopting a mixed-method design, we find that students' experience with online learning can be negatively affected by information overload, and perceived technical skill requirements, and describe qualitative evidence that suggest a lack of social interactions, class format, and ambiguous communication also affected perceived learning. This study suggests that to digitalize higher education successfully, institutions need to redesign students' learning experience systematically and re-evaluate traditional pedagogical approaches in the online context.

  8. JCR分区: Q1 CAS分区: B1 影响因子: 13

    8. An exploration of instructors' and students' perspectives on remote delivery of courses during the COVID-19 pandemic.

    8. 探讨在COVID-19疫情期间,教师和学生对课程远程授课的看法
    作者:
    Victoria Chen, Adam Sandford, Matthew LaGrone, Kayla Charbonneau, Jessica Kong, Shenoa Ragavaloo
    日期:
    2022-02-20

    The world-wide pivot to remote learning due to the exogenous shocks of COVID-19 across educational institutions has presented unique challenges and opportunities. This study documents the lived experiences of instructors and students and recommends emerging pathways for teaching and learning strategies post-pandemic. Seventy-one instructors and 122 students completed online surveys containing closed and open-ended questions. Quantitative and qualitative analyses were conducted, including frequencies, chi-square tests, Welch Two-Samples -tests, and thematic analyses. The results demonstrated that with effective online tools, remote learning could replicate key components of content delivery, activities, assessments, and virtual proctored exams. However, instructors and students did not want in-person learning to disappear and recommended flexibility by combining learning opportunities in in-person, online, and asynchronous course deliveries according to personal preferences. The paper concludes with future directions and how the findings influenced our planning for Fall 2021 delivery. The video abstract for this article is available at https://www.youtube.com/watch?v=F48KBg_d8AE.

  9. JCR分区: Q1 CAS分区: B1 影响因子: 13

    9. Student engagement in online learning in Latin American higher education during the COVID-19 pandemic: A systematic review.

    9. 新冠疫情期间拉丁美洲高等教育中在线学习的学生参与度:一项系统综述
    作者:
    Sdenka Zobeida Salas-Pilco, Yuqin Yang, Zhe Zhang
    日期:
    2022-02-15

    The COVID-19 pandemic has forced higher education institutions to implement online learning activities based on virtual platforms, allowing little time to prepare and train faculty members to familiarize students with digital technologies. While previous studies have looked at how students engaged with digital technologies in their learning activities, the characteristics of the student engagement in online learning remain underexplored. Therefore, a systematic review of the literature on student engagement in online learning in higher education is much needed. This article synthesizes the findings on student engagement in Latin American higher education institutions during the COVID-19 pandemic. After reviewing the studies on online learning activities, this review examines student engagement from behavioural, cognitive and affective dimensions and identifies the main characteristics of student engagement from these tripartite dimensions. The implications of the findings for online learning in Latin American higher education are as follows: (a) to transform higher education, (b) to provide adequate professional training, (c) to improve Internet connectivity, (d) to ensure quality online learning in higher education and (e) to provide emotional support. These findings will provide valuable guidance for teachers, educational authorities and policy makers and help them make informed decisions to use effective strategies to support online learning in higher education institutions.

  10. JCR分区: Q1 CAS分区: B1 影响因子: 13

    10. Academia's responses to crisis: A bibliometric analysis of literature on online learning in higher education during COVID-19.

    10. 学术界对危机的应对:基于文献计量学的COVID-19期间高等教育在线学习文献分析
    作者:
    Ling Zhang, Richard Allen Carter, Xueqin Qian, Sohyun Yang, James Rujimora, Shuman Wen
    日期:
    2022-02-12

    This paper aimed to provide a holistic view of research that investigated online learning in higher education around the globe during COVID-19 utilizing a bibliometric analysis. The researchers used co-citation analysis and text mining afforded by VOSviewer to document and analyze research patterns and topics reported in peer-reviewed documents published between January 2020 and August 2021. Findings of this study indicated that scholars from 103 countries or regions from the Global North and Global South investigated a wide array of topics, such as use of various technologies and strategies, redesigned curriculum, student perceptions and psychological impacts of the pandemic-imposed online learning. Many researchers applied technology acceptance theories and structural equation modeling to investigate factors associated with adoption and impacts of the pandemic-imposed online learning. Of the large quantity of research, medical education and chemical education were the most investigated disciplines. Inquiry-based learning, discovery learning, hands-on learning and collaborative learning emerged as instructional approaches frequently discussed or utilized across the target studies. This paper discussed (a) ongoing and emerging challenges to online higher education, (b) placing innovative pedagogies at the forefront of online learning, and (c) rapid, but imbalanced distribution of evolving literature based on the findings.

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