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Ba, Shen; Hu, Xiao; Stein, David; Liu, Qingtang – British Journal of Educational Technology, 2023
Providing coaching to participants in inquiry-based online discussions contributes to developing cognitive presence (CP) and higher-order thinking. However, a primary issue limiting quality and timely coaching is instructors' lack of tools to efficiently identify CP phases in massive discussion transcripts and effectively assess learners'…
Descriptors: Coaching (Performance), Computer Mediated Communication, Inquiry, Classification
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Liu, Bowen; Xing, Wanli; Zeng, Yifang; Wu, Yonghe – British Journal of Educational Technology, 2022
Massively open online courses (MOOCs) offer learners opportunities for self-improvement and knowledge development. Linking cognitive processes and learning outcomes is helpful in supporting students learning with the help of MOOCs. Based on the cognitive presence of the Community of Inquiry framework, this study quantified the effect of cognitive…
Descriptors: Cognitive Processes, Outcomes of Education, Online Courses, Communities of Practice
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Jiang, Shiyan; Nocera, Amato; Tatar, Cansu; Yoder, Michael Miller; Chao, Jie; Wiedemann, Kenia; Finzer, William; Rosé, Carolyn P. – British Journal of Educational Technology, 2022
To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning experiences for K-12 students. These efforts revealed a significant need to prepare youth to gain a fundamental understanding of how intelligence is created,…
Descriptors: High School Students, Data, Artificial Intelligence, Mathematical Models
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Cukurova, Mutlu; Kent, Carmel; Luckin, Rosemary – British Journal of Educational Technology, 2019
The question: "What is an appropriate role for AI?" is the subject of much discussion and interest. Arguments about whether AI should be a "human replacing" technology or a "human assisting" technology frequently take centre stage. Education is no exception when it comes to questions about the role that AI should…
Descriptors: Artificial Intelligence, Data Use, Decision Making, Debate
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Passey, Don – British Journal of Educational Technology, 2019
This theoretical paper is concerned with problematising the rethinking of theoretical backgrounds associated with one of the commonly used educational technology terms (fields)--technology-enhanced learning--in the wider context of scholarship. Examples will show that the term itself is now used beyond its apparent, stated scope, that it is used…
Descriptors: Educational Technology, Technology Uses in Education, Vocabulary, Scholarship
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Yan, Lixiang; Martinez-Maldonado, Roberto; Gallo Cordoba, Beatriz; Deppeler, Joanne; Corrigan, Deborah; Gaševic, Dragan – British Journal of Educational Technology, 2022
Identifying students facing difficulties and providing them with timely support is one of the educator's key responsibilities. Yet, this task is becoming increasingly challenging as the complexity of physical learning spaces grows, along with the emergence of novel educational technologies and classroom designs. There has been substantial research…
Descriptors: Student Behavior, Social Behavior, Elementary School Students, At Risk Students
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Cechinel, Cristian; Ochoa, Xavier; Lemos dos Santos, Henrique; Carvalho Nunes, João Batista; Rodés, Virginia; Marques Queiroga, Emanuel – British Journal of Educational Technology, 2020
The growth of Learning Analytics (LA) as a research field has been extensively documented since its beginnings. This paper provides a broad overview of the publications that Latin American authors have published in the last years by performing a quantitative review of the literature (from 2011 to 2019). A total of 282 papers were collected and…
Descriptors: Data Analysis, Authors, Foreign Countries, Ethics
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Bower, Matt – British Journal of Educational Technology, 2016
This paper presents the methods and outcomes of a typological analysis of Web 2.0 technologies. A comprehensive review incorporating over 2000 links led to identification of over 200 Web 2.0 technologies that were suitable for learning and teaching purposes. The typological analysis involved development of relevant Web 2.0 dimensions, grouping…
Descriptors: Web 2.0 Technologies, Educational Technology, Technology Uses in Education, Classification
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Cohen, Anat; Shimony, Udi; Nachmias, Rafi; Soffer, Tal – British Journal of Educational Technology, 2019
This study explores and characterizes learners' participation patterns in MOOC forums, as well as the factors that correlate with learners' participation. Educational data mining and learning analytics methods were used to retrieve and analyze the learners' interpersonal interaction data, which had accumulated in the Coursera log files. The…
Descriptors: Online Courses, Student Participation, Correlation, Mass Instruction
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Hersh, Marion – British Journal of Educational Technology, 2017
The paper presents the first systematic approach to the classification of inclusive information and communication technologies (ICT)-based learning technologies and ICT-based learning technologies for disabled people which covers both assistive and general learning technologies, is valid for all disabled people and considers the full range of…
Descriptors: Classification, Information Technology, Educational Technology, Assistive Technology
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Qin, Fen; Li, Kai; Yan, Jianyuan – British Journal of Educational Technology, 2020
Artificial Intelligence (AI) has penetrated the field of education. Trust has long been regarded as a driver for the acceptance of technology. Netnography and interviews were used to investigate trust in AI-based educational systems from the perspective of users. We identified the factors influencing trust in AI-based educational systems and…
Descriptors: Trust (Psychology), Artificial Intelligence, Classification, Context Effect
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Wu, Chih-Hung; Huang, Yueh-Min; Hwang, Jan-Pan – British Journal of Educational Technology, 2016
Affect can significantly influence education/learning. Thus, understanding a learner's affect throughout the learning process is crucial for understanding motivation. In conventional education/learning research, learner motivation can be known through postevent self-reported questionnaires. With the advance of affective computing technology,…
Descriptors: Computer Uses in Education, Educational Trends, Affective Behavior, Learning Motivation
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Dietze, Stefan; Taibi, Davide; Yu, Hong Qing; Dovrolis, Nikolas – British Journal of Educational Technology, 2015
Reusable educational resources became increasingly important for enhancing learning and teaching experiences, particularly in the medical domain where resources are particularly expensive to produce. While interoperability across educational resources metadata repositories is yet limited to the heterogeneity of metadata standards and interface…
Descriptors: Medical Education, Educational Resources, Databases, Metadata
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Sohsah, Gihad N.; Ünal, Muhammed Esad; Güzey, Onur – British Journal of Educational Technology, 2015
Educational applications for language teaching can utilize the language levels of words to target proficiency levels of students. This paper and the accompanying data provide a methodology for making educational standard-aligned language-level predictions for all English words. The methodology involves expert opinions on language levels and…
Descriptors: Classification, Word Frequency, Second Language Learning, Second Language Instruction
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Joy, Mike; Foss, Jonathan; King, Emma; Sinclair, Jane; Sitthiworachart, Jirarat; Davis, Rachel – British Journal of Educational Technology, 2014
Higher education institutions are increasingly exploring how they can use emerging technologies to develop and enhance the learning experiences offered to students. These activities have mainly focused on developing student-centered facilities. The University of Warwick has taken the next step by developing a space (the Teaching Grid) specifically…
Descriptors: Higher Education, Teaching Methods, Educational Technology, Technology Uses in Education
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