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Maden, Asli – Educational Policy Analysis and Strategic Research, 2020
The present study aimed to review the articles published in Turkey on electronic books. In the study, descriptive content analysis method was employed. In the study, national databases such as UlakbimUVT, Asos Index, Turkish Education Index (TEI) and international databases such as ERIC, DOAJ, EBSCO, Google Scholar and past issues of educational…
Descriptors: Foreign Countries, Electronic Publishing, Books, Electronic Learning
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Kingir, Sevgi; Gok, Bilge; Bozkir, Ahmet Selman – Journal of Baltic Science Education, 2020
Educational data mining is a developing research trend for exploring hidden patterns and natural associations among a set of student, teacher or school related variables. Discovering profiles of preservice science teachers using data mining methods would give important information about quality of teacher education programs and future science…
Descriptors: Data Analysis, Preservice Teachers, Science Teachers, Motivation
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Dindar, Muhterem; Järvelä, Sanna; Haataja, Eetu – British Journal of Educational Technology, 2020
There is a growing body of research on physiological synchrony (PS) in Collaborative Problem Solving (CPS). However, the current literature presents inconclusive findings about the way in which PS is reflected in cognitive and affective group processes and performance. In light of this, this study investigates the relationship between PS and…
Descriptors: College Students, Metacognition, Physiology, Problem Solving
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Kalpokaite, Neringa; Radivojevic, Ivana – International Journal of Research & Method in Education, 2020
In today's world of pervasive technology use, online education is rapidly growing. Online learning environments offer a multitude of benefits for both learners and teachers, as there are substantially more accessible and affordable. The present research focuses on teaching the use of qualitative data analysis software (CAQDAS) to researchers.…
Descriptors: Instructional Effectiveness, Data Analysis, Computer Software, Conventional Instruction
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Alonso-Fernández, Cristina; Martínez-Ortiz, Iván; Caballero, Rafael; Freire, Manuel; Fernández-Manjón, Baltasar – Journal of Computer Assisted Learning, 2020
Serious games have proven to be a powerful tool in education to engage, motivate, and help students learn. However, the change in student knowledge after playing games is usually measured with traditional (paper) prequestionnaires-postquestionnaires. We propose a combination of game learning analytics and data mining techniques to predict…
Descriptors: Case Studies, Teaching Methods, Game Based Learning, Student Motivation
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McLeod, Julie; O'Connor, Kate – Educational Philosophy and Theory, 2020
This article investigates dilemmas in the archiving and sharing of qualitative data in educational research, critically engaging with practices and debates from across the social sciences. Ethical, epistemological and methodological challenges are examined in reference to open access agendas, the politics of knowledge production, and…
Descriptors: Ethics, Data Analysis, Educational Research, Epistemology
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Lehner-Mear, Rachel – International Journal of Social Research Methodology, 2020
This paper discusses ethical issues surrounding Netnography, an innovative methodology, relatively unusual in Education research. It explores the ethical approach developed for a study of UK mother perspectives on primary school homework found on open-access parenting websites, reviewing issues considered at the project's outset and examining…
Descriptors: Ethics, Educational Research, Research Methodology, Social Science Research
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Wakelam, Edward; Jefferies, Amanda; Davey, Neil; Sun, Yi – British Journal of Educational Technology, 2020
The measurement of student performance during their progress through university study provides academic leadership with critical information on each student's likelihood of success. Academics have traditionally used their interactions with individual students through class activities and interim assessments to identify those "at risk" of…
Descriptors: Academic Achievement, At Risk Students, Data Analysis, Identification
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Sahin, Harun; Caner, H. Nuran; Akmaz-Genç, Imren – International Journal of Curriculum and Instruction, 2020
The present study aims to examine the graduate studies related to in-service training programs for teachers conducted between the years 2000 and 2018 in Turkey. In this context, the content analysis of 88 graduate studies, including 71 master thesis and 17 dissertations, was conducted for the in-service teacher training accessible to the Council…
Descriptors: Foreign Countries, Inservice Teacher Education, Graduate Study, Masters Theses
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Dam, M.; Janssen, F. J. J. M.; van Driel, J. H. – Professional Development in Education, 2020
In recent years, the use of student data has become increasingly concerned with management of teacher performance. However, when teachers become aware of specific student data directly related to their approach of teaching, it could inform them about possible strengths, weaknesses or challenges. Unfortunately, teachers generally have little time…
Descriptors: Faculty Development, Data Collection, Data Analysis, Teaching Styles
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Waterman, Kevin P.; Goldsmith, Lynn; Pasquale, Marian – Journal of Science Education and Technology, 2020
Using an example of a grade 3 science unit about population changes during competition for resources, we describe how we integrated computational thinking (CT) into existing curriculum identifying three levels of depth of integration: identifying connections that already exist, enhancing and strengthening connections, and extending units to…
Descriptors: Thinking Skills, Computation, Elementary School Science, Learning Activities
Bruhn, Allison L.; Wehby, Joseph H.; Hasselbring, Ted S. – Journal of Positive Behavior Interventions, 2020
With the advent of Precision Teaching more than 50 years ago, researchers and practitioners began to examine how to use K-12 students' academic data to guide instructional decisions. Although the field has advanced with the use of curriculum-based measurement and data-driven decision rules for reading and math, the same is not true in the area of…
Descriptors: Social Behavior, Decision Making, Teaching Methods, Measurement
Singer-Freeman, Karen; Robinson, Christine – National Institute for Learning Outcomes Assessment, 2020
A number of national and international organizations have compiled lists of grand challenges to unify the efforts of scholars and practitioners in a field. Unified efforts increase the possibility of creating meaningful and lasting progress. In this paper we share ten grand challenges that were identified through an examination of the assessment…
Descriptors: Higher Education, College Outcomes Assessment, Innovation, Budgeting
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Spence, Christine M.; Connor, Susan M.; Burke, Ted; Cheema, Jehanzeb R.; Ostrosky, Michaelene M. – Infants and Young Children, 2018
A statewide needs assessment was conducted with early interventionists to gather information on perceived professional development (PD) needs. Across 3 years, 4,455 early interventionists responded to an online survey. Data were analyzed for reported needs on PD topics in seven broad areas related to early intervention processes and content.…
Descriptors: Needs Assessment, Early Intervention, Professional Development, Online Surveys
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Urquhart, L. M.; Ker, J. S.; Rees, C. E. – Advances in Health Sciences Education, 2018
Feedback in medical education is complicated by the multiple contexts within which learning occurs. However, feedback research in medical education has typically focused on information provided by tutors to students with limited exploration of the influence of context. This research seeks to address this gap by exploring the influence of multiple…
Descriptors: Context Effect, Feedback (Response), Medical Schools, Medical Education
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