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Preparing for Adulthood: Educational Psychologists' Reflections on Using the Personal Skills Profile
Tomlinson, Eleanor; Oland, Louise – Educational Psychology in Practice, 2023
This study sought to establish educational psychologists' (EPs) views on their experiences of using a personal skills profile (PSP), created to support post-16 transition. Two focus groups were held with EPs working in local authorities in the UK. Discussions focused on participants' experiences of using the PSP with young people (YP), its value,…
Descriptors: Educational Psychology, Psychologists, Counselor Attitudes, Foreign Countries
Jones, Kyle M. L.; Goben, Abigail; Perry, Michael R.; Regalado, Mariana; Salo, Dorothea; Asher, Andrew D.; Smale, Maura A.; Briney, Kristin A. – portal: Libraries and the Academy, 2023
Higher education data mining and analytics, like learning analytics, may improve learning experiences and outcomes. However, such practices are rife with student privacy concerns and other ethics issues. It is crucial that student privacy expectations and preferences are considered in the design of educational data analytics. This study forefronts…
Descriptors: College Students, Student Attitudes, Data Collection, Learning Analytics
Buckley, Jeffrey; Hyland, Tomás; Seery, Niall – International Journal of Technology and Design Education, 2023
Technology education research is a growing field, with the rate of growth increasing over the last 2 decades. As the field grows, it is paramount that credibility is maintained in published findings. To date there is no evidence to suggest a lack trust is warranted, however in the midst of the replication crisis there is need to ensure continued…
Descriptors: Technology Education, Educational Research, Replication (Evaluation), Credibility
National Forum on Education Statistics, 2023
The Forum Guide to Data Quality provides best practices from districts and states for maintaining quality data as these agencies regularly review and revise their methods for working with data, as well as their expectations for all staff who are responsible for education data and their quality. This resource is intended to help districts and…
Descriptors: Data Collection, Quality Control, Best Practices, Educational Indicators
Karen Ann Kling; Jennifer Wixson; Laura Tuthill; William D. Lopez – Poverty Solutions, University of Michigan, 2023
Emmet County faces a dearth of affordable, quality child care options, with available child care having steadily declined over the past five years. In Michigan, there are about four children under age 12 for every available child care spot. The areas with the least child care availability are often rural and concentrated in northern Michigan, like…
Descriptors: Child Care, Rural Areas, Data Collection, Needs Assessment
Valenza, Marco; Dreesen, Thomas; Kan, Sophia – UNICEF Office of Research - Innocenti, 2022
One tool that many families own, across the globe, is a basic mobile phone. The use of low-cost basic mobile phones for educational purposes in humanitarian settings is critical where access to connectivity and higher cost devices is limited. The portability of mobile phones, combined with their communication features, offers multiple uses to…
Descriptors: COVID-19, Pandemics, Telecommunications, Handheld Devices
King, Carlise; Perkins, Victoria – Early Childhood Data Collaborative, 2020
Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…
Descriptors: Educational Finance, Financial Support, Home Visits, Early Childhood Education
Hakimi, Laura; Eynon, Rebecca; Murphy, Victoria A. – Review of Educational Research, 2021
This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…
Descriptors: Ethics, Data Use, Data Collection, Learning Analytics
Kishida, Yuriko; Carter, Mark; Kemp, Coral – Australasian Journal of Special and Inclusive Education, 2021
Although the use of data is important for informing inclusive practice, research into Australian early childhood educators' data practice is limited. Types of data collected in early childhood settings and the use of these data were investigated. Surveys completed by 105 early childhood educators across Australia indicated that anecdotal written…
Descriptors: Data Use, Data Collection, Early Childhood Teachers, Early Childhood Education
Shah, Niral; Ortiz, Nickolaus; Christensen, Julie; Stroupe, David; Reinholz, Daniel – Educational Leadership, 2021
A crucial site of bias in classrooms is class discussions. A new free web-based tool developed by university researchers can help teachers actively monitor how their biases are affecting students in real-time.
Descriptors: Equal Education, Student Participation, Inclusion, Racial Bias
Region 9 Comprehensive Center, 2021
The COVID-19 pandemic has created an unprecedented challenge for state, district, and school leaders across the country. Whether states and districts mandate or choose an in-person or remote model or a hybrid model, which includes some aspect of virtual learning, ensuring that vulnerable students and teachers have a remote learning option has…
Descriptors: Distance Education, Blended Learning, Educational Quality, Data Collection
Nicholas A. Curtis; Robin D. Anderson – International Journal for Students as Partners, 2021
Partnership models have been effective across many areas of higher education such as involving students as teaching and learning consultants, in course design and redesign, and as co-instructors. However, there are few systems-level (i.e., entire programs or institutions) examples of partnership work and virtually none in systems-level assessment.…
Descriptors: Partnerships in Education, Teacher Student Relationship, College Faculty, College Students
Schildkamp, Kim – Educational Research, 2019
Background: Data-based decision-making in education often focuses on the use of summative assessment data in order to bring about improvements in student achievement. However, many other sources of evidence are available across a wide range of indicators. There is potential for school leaders, teachers and students to use these diverse sources…
Descriptors: Data Use, School Effectiveness, Educational Improvement, Formative Evaluation
Bom, Peter L.; Koopman, Maaike; Bijaard, Douwe – European Journal of STEM Education, 2019
In this study, student teachers explored four data collection methods for data feedback to improve their teaching skills in Science and Technology [S&T]. The aim was to verify whether these methods were suitable for collecting data concerning their teaching skills during S&T activities in their internships. They analysed the collected data…
Descriptors: Student Teachers, Data Use, Feedback (Response), Teacher Improvement
Wahyono, Poncojari; Wardiani, Fefi Eka; Susetyarini, Eko – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2020
Biochemistry is a study which consists of many difficult concepts. Research that examines biochemistry learning needs to be continuously carried out so that the quality of learning can be evaluated and improved. Hence, this content analysis addressed to analyze the research methodologies of the articles published in various Indonesian biology…
Descriptors: Foreign Countries, Research Methodology, Mixed Methods Research, Journal Articles

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