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Kontogianni, Feni; Hope, Lorraine; Taylor, Paul J.; Vrij, Aldert; Gabbert, Fiona – Applied Cognitive Psychology, 2020
In information gathering interviews, follow-up questions are asked to clarify and extend initial witness accounts. Across two experiments, we examined the efficacy of open-ended questions following an account about a multi-perpetrator event. In Experiment 1, 50 mock-witnesses used the timeline technique or a free recall format to provide an…
Descriptors: Data Collection, Interviews, Questioning Techniques, Identification
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Williams, Peter – European Journal of Special Needs Education, 2020
Inclusive research with people with learning disabilities often involves audio-recording interviews. However, although barely acknowledged in the literature, participants may not understand that every word recorded will be scrutinised forensically, from which possibly erroneous conclusions may be drawn. This paper describes an alternative method:…
Descriptors: Participatory Research, Inclusion, Learning Disabilities, Data Collection
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Jiang, Shiyan; Kahn, Jennifer – International Journal of Computer-Supported Collaborative Learning, 2020
Data visualization technologies are powerful tools for telling evidence-based narratives about oneself and the world. This paper contributes to the literature on data science education by examining the sociotechnical practices of data wrangling--strategies for selecting and managing large, aggregated datasets to produce a model and story. We…
Descriptors: Data Collection, Data Analysis, Visualization, Story Telling
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Wilkerson, Michelle Hoda; Polman, Joseph L. – Journal of the Learning Sciences, 2020
The emerging field of Data Science has had a large impact on science and society. This has led to over a decade of calls to establish a corresponding field of Data Science Education. There is still a need, however, to more deeply conceptualize what a field of Data Science Education might entail in terms of scope, responsibility, and execution.…
Descriptors: Data, Information Science Education, Learning, Data Collection
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François, Karen; Monteiro, Carlos; Allo, Patrick – Statistics Education Research Journal, 2020
In the contemporary society a massive amount of data is generated continuously by various means, and they are called Big-Data sets. Big Data has potential and limits which need to be understood by statisticians and statistics consumers, therefore it is a challenge to develop Big-Data Literacy to support the needs of constructive, concerned, and…
Descriptors: Data Collection, Data Analysis, Statistical Analysis, Comprehension
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Burgos, Daniel, Ed. – Lecture Notes in Educational Technology, 2020
Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the…
Descriptors: Learning Analytics, Individualized Instruction, Integrated Learning Systems, Data Collection
Díaz, Victoria E.; McKeown, Stephanie; Peña, Camilo – British Columbia Council on Admissions and Transfer, 2023
This project reviews data collection practices regarding race, ethnicity and ancestry (REA) in post-secondary institutions (PSIs) in Canada, as well as in other relevant sectors (e.g., health, K-12 education, government agencies). The goal of the project was to identify promising practices and to develop recommendations to guide REA data…
Descriptors: Data Collection, Data Use, Student Characteristics, Race
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Rouse, Sharon E.; Jones, Rose; Cleveland, Jonnie – Journal of the American Academy of Special Education Professionals, 2023
This study is on data-gathering software for special teachers in local education agencies Grades K-14. Increasing pressure for the use of accountability to follow the effectiveness of meeting educational standards has caused schools to reassess methods of using data and the core technologies surrounding its collection. The amount of data…
Descriptors: Computer Software, Computer Uses in Education, Data Collection, Educational Improvement
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Kuo, Chen-li; Tsai, Tsai-Hsuan; Tung, Shen-Mei; Lin, Yueh-E – Augmentative and Alternative Communication, 2023
Augmentative and alternative communication (AAC) has been used by patients with acquired expressive communication disorders as an alternative to natural speech. The use of symbols to express pain, which is intangible, is challenging because designing a series of comprehensible symbols to represent personal experiences such as pain is not…
Descriptors: Augmentative and Alternative Communication, Pain, Chinese, Telecommunications
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Liu, Yi; Xu, TianWei; Xiao, Mengjin – International Journal of Information and Communication Technology Education, 2023
In order to better grasp the needs of library users and provide them with more accurate knowledge services, combining the characteristics of university libraries, this article applies library small data to personalized recommendation and proposes a small data fusion algorithm model for library personalized recommendation. This model combines the…
Descriptors: Research Libraries, Data Collection, Data Analysis, Tables (Data)
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Owan, Valentine J.; Obla, Moses E.; Asuquo, Michael E.; Owan, Mercy V.; Okenjom, Godian P.; Undie, Stephen B.; Ogar, Joseph O.; Udeh, Kelechi V. – Journal of Pedagogical Research, 2023
Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness,…
Descriptors: Student Attitudes, Social Media, Student Research, Data Collection
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Çakiroglu, Ünal; Kiliç, Servet – Interactive Learning Environments, 2023
Recent years have witnessed an increasing emphasis on integrating computational thinking into school curriculums. This study deals with suggesting a course model including data collection tools for evaluating teachers' pedagogical content knowledge in teaching computational thinking via teaching robot programming. Taking the advantages of virtual…
Descriptors: Teachers, Pedagogical Content Knowledge, Computation, Thinking Skills
Connors, Maia; Paschall, Katherine – Child Trends, 2023
Child Trends and Start Early have partnered to better understand what early childhood systems builders need to build and support more equitable systems. The briefs in this series, called Conversation Starters, define a new framework for early childhood systems that center families' experiences and raise key considerations and next steps for…
Descriptors: Young Children, Early Childhood Education, Family Involvement, Definitions
Causton, Julie; MacLeod, Kate; Pretti-Frontczak, Kristie; Jenna Mancini Rufo,; Gordon, Paul – ASCD, 2023
The research is clear: Including students with disabilities in general education classrooms is the most effective way for all students to learn. If you are working toward greater inclusivity in your school or system, this book from educators and inclusion experts Julie Causton, Kate MacLeod, Kristie Pretti-Frontczak, Jenna Mancini Rufo, and Paul…
Descriptors: Inclusion, Leaders, Students with Disabilities, Classroom Environment
Data Quality Campaign, 2023
Each year, state legislators introduce hundreds of bills that generate new data collections, analyses, and resources, playing a crucial role in how people access and use data. Notably, in 2023 legislators introduced and enacted bills governing cross-agency data systems--the most important step that states must take to make robust access to data…
Descriptors: Educational Legislation, Data Analysis, Data Collection, Access to Information
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