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Showing 1 to 15 of 120 results Save | Export
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Kai Zhang; Jingying Chen; Zongkai Yang – British Journal of Educational Technology, 2024
This study explored the influence of the dynamic assessment of human--computer interactive games on children's language potential. Thirty-seven special children aged 3--7 years were selected to participate in the study. They were divided into three groups according to their scores on the Autism Behaviour Checklist: (1) a non-autism group, (2) a…
Descriptors: Language Skills, Autism Spectrum Disorders, Children, Interaction
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Nadira Dayo; Sameh Said Metwaly; Wim Van Den Noortgate – British Journal of Educational Technology, 2024
Single-case experimental designs (SCEDs) may offer a reliable and internally valid way to evaluate technology-enhanced learning (TEL). A systematic review was conducted to provide an overview of what, why and how SCEDs are used to evaluate TEL. Accordingly, 136 studies from nine databases fulfilling the inclusion criteria were included. The…
Descriptors: Technology Uses in Education, Technology Integration, Educational Research, Evaluation Methods
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Chioma Udeozor; Fernando Russo Abegão; Jarka Glassey – British Journal of Educational Technology, 2024
Digital games (DGs) have the potential to immerse learners in simulated real-world environments that foster contextualised and active learning experiences. These also offer opportunities for performance assessments by providing an environment for students to carry out tasks requiring the application of knowledge and skills learned in the…
Descriptors: Educational Technology, Computer Assisted Testing, Game Based Learning, Test Construction
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Stanja, Judith; Gritz, Wolfgang; Krugel, Johannes; Hoppe, Anett; Dannemann, Sarah – British Journal of Educational Technology, 2023
Formative assessment is considered to be helpful in students' learning support and teaching design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of teachers can be subdivided into three practices: eliciting evidence, interpreting evidence and responding. Since students' conceptions are judged to be important for…
Descriptors: Formative Evaluation, Student Attitudes, Learning Analytics, Student Evaluation
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Bulut, Okan; Gorgun, Guher; Yildirim-Erbasli, Seyma N.; Wongvorachan, Tarid; Daniels, Lia M.; Gao, Yizhu; Lai, Ka Wing; Shin, Jinnie – British Journal of Educational Technology, 2023
As universities around the world have begun to use learning management systems (LMSs), more learning data have become available to gain deeper insights into students' learning processes and make data-driven decisions to improve student learning. With the availability of rich data extracted from the LMS, researchers have turned much of their…
Descriptors: Formative Evaluation, Learning Analytics, Models, Learning Management Systems
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Darvishi, Ali; Khosravi, Hassan; Sadiq, Shazia; Gaševic, Dragan – British Journal of Educational Technology, 2022
Peer assessment has been recognised as a sustainable and scalable assessment method that promotes higher-order learning and provides students with fast and detailed feedback on their work. Despite these benefits, some common concerns and criticisms are associated with the use of peer assessments (eg, scarcity of high-quality feedback from peer…
Descriptors: Artificial Intelligence, Learning Analytics, Peer Evaluation, Student Evaluation
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Barthakur, Abhinava; Kovanovic, Vitomir; Joksimovic, Srecko; Zhang, Zhonghua; Richey, Michael; Pardo, Abelardo – British Journal of Educational Technology, 2022
Technological affordances have shown promising potential in advancing the delivery of corporate learning programmes designed for professional leadership development. However, there is a considerable challenge in evaluating learners' skill acquisition, with most of the past research relying on pre- and post-tests or other forms of self-reports to…
Descriptors: Leadership, Workplace Learning, Computer Assisted Testing, Evaluation Methods
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St-Onge, Christina; Ouellet, Kathleen; Lakhal, Sawsen; Dubé, Tim; Marceau, Mélanie – British Journal of Educational Technology, 2022
The COVID-19 pandemic provoked an urgency for many educators to integrate digital information and communication technologies in their educational practices. We explored how faculty members tackled the task of adapting their assessment practices during the pandemic to identify what is required to sustain and favour future quality development and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Higher Education
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Ying Zhan; Daner Sun; Ho Man Kong; Ye Zeng – British Journal of Educational Technology, 2024
There is a global trend in the increased adoption of e-assessment in school classrooms to enhance learning. Teachers, as classroom-based assessment designers and implementers, play a vital role in such assessment change. However, little is known about school teachers' classroom-based e-assessment practices and the underlying reasons. To address…
Descriptors: Elementary School Teachers, Student Evaluation, Evaluation Methods, Educational Technology
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Siem Buseyne; Kamakshi Rajagopal; Thierry Danquigny; Fien Depaepe; Jean Heutte; Annelies Raes – British Journal of Educational Technology, 2024
The objective of this study is to explore new ways of assessing collaborative problem solving (CPS) processes based on different modalities of audio data and their combination. The data collection took place in an educational lab setting during an experiment with adult teams from professional contexts who collaboratively solved multiple problems…
Descriptors: Adult Students, Cooperative Learning, Problem Solving, Computer Uses in Education
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Olga Viberg; Chantal Mutimukwe; Stefan Hrastinski; Teresa Cerratto-Pargman; Joakim Lilliesköld – British Journal of Educational Technology, 2024
Digital technologies are increasingly used in assessment. On the one hand, this use offers opportunities for teachers to practice assessment more effectively, and on the other hand, it brings challenges to the design of pedagogically sound and responsible digital assessment. There is a lack of validated instruments and models that explain, assess…
Descriptors: Computer Assisted Testing, Teaching Methods, Evaluation Methods, Educational Trends
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Avila, Cecilia; Baldiris, Silvia; Fabregat, Ramon; Graf, Sabine – British Journal of Educational Technology, 2020
The learning analytics (LA) field seeks to analyze data about students' interactions, and it has been applied in the development of tools for supporting both learning and teaching processes. Recent research has paid attention on how LA may benefit teachers in the creation of educational resources. However, most of the research on LA solutions is…
Descriptors: Learning Analytics, Open Educational Resources, Teacher Developed Materials, Instructional Material Evaluation
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Taylor, Gemma; Kolak, Joanna; Bent, Eve M.; Monaghan, Padraic – British Journal of Educational Technology, 2022
In the present paper, we assess whether website rating systems are useful for selecting educational apps for preschool age children. We selected the 10 highest scoring and 10 lowest scoring apps for 2-4-year-olds from two widely used websites (Good App Guide; Common Sense Media). Apps rated highly by the two websites had a higher educational…
Descriptors: Computer Software, Preschool Children, Psycholinguistics, Feedback (Response)
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Oshima, Jun; Oshima, Ritsuko; Saruwatari, Shunsuke – British Journal of Educational Technology, 2020
This study proposes a new methodological approach to evaluate students' knowledge-building discourse. First, we discuss the knowledge-creation metaphor of learning. In the metaphor, theories mention that learners should consider their collective knowledge objects or artifacts that materialize as a result of their collaborative discourse. Second,…
Descriptors: Student Evaluation, Evaluation Methods, Knowledge Level, Cooperative Learning
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Castaño Muñoz, Jonatan; Pokropek, Artur; Weikert García, Lilian – British Journal of Educational Technology, 2022
This paper explores participation trends in interventions that promote self-evaluation exercises on the effective use of digital technologies in schools. We use a unique dataset consisting of 83,185 respondents from 924 Spanish schools that used SELFIE, a tool based on self-reflection questionnaires that capture different dimensions of school's…
Descriptors: Intervention, Foreign Countries, Technology Uses in Education, Institutional Characteristics
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