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Chazin, Kate T.; Ledford, Jennifer R.; Barton, Erin E.; Osborne, Kirsten C. – Remedial and Special Education, 2018
An antecedent exercise (AE) intervention was conducted with two young children who demonstrated challenging behaviors during a large group circle time activity in a preschool classroom; outcomes were evaluated in the context of alternating treatments designs. Results from the initial visual analysis suggested no overlap between conditions, with…
Descriptors: Physical Activities, Intervention, Learner Engagement, Large Group Instruction
Pratt, Justin M.; Yezierski, Ellen J. – Chemistry Education Research and Practice, 2018
Conducting qualitative research in any discipline warrants two actions: accessing participants and eliciting their ideas. In chemistry education research (CER), survey techniques have been used to increase access to participants and diversify samples. Interview tasks (such as card sorting, using demonstrations, and using simulations) have been…
Descriptors: Chemistry, Science Education, Qualitative Research, Scientific Research
Youngs, Bonnie L.; Prakash, Akhil; Nugent, Rebecca – Computer Assisted Language Learning, 2018
Logged tracking data for online courses are generally not available to instructors, students, and course designers and developers, and even if these data were available, most content-oriented instructors do not have the skill set to analyze them. Learning analytics, mined from logged course data and usually presented in the form of learning…
Descriptors: Online Courses, French, Second Language Learning, Second Language Instruction
Hooshyar, Danial; Yousefi, M.; Wang, M.; Lim, H. – Journal of Computer Assisted Learning, 2018
Although game-based learning has been increasingly promoted in education, there is a need to adapt game content to individual needs for personalized learning. Procedural content generation (PCG) offers a solution for difficulty in developing game contents automatically by algorithmic means as it can generate individually customizable game contents…
Descriptors: Educational Games, Computer Games, Data, Individualized Instruction
Aydemir, Sevilay; Demirkan, Özden – Educational Policy Analysis and Strategic Research, 2018
The main objective of this study is to determine the training needs of prospective teachers for gender-aware media literacy training. In this study, within the scope of which qualitative research methods were employed, case study model was used. The study group was designated by using maximum variation sampling method, as one of the purposeful…
Descriptors: Sex Fairness, Media Literacy, Needs Assessment, Educational Needs
Waite, Jane Lisa; Curzon, Paul; Marsh, William; Sentance, Sue; Hadwen-Bennett, Alex – Online Submission, 2018
Research indicates that understanding levels of abstraction (LOA) and being able to move between the levels is essential to programming success. For K-5 contexts we rename the LOA levels: problem, design, code and running the code. In our qualitative exploratory study, we interviewed five K-5 teachers on their uses of LOA, particularly the design…
Descriptors: Elementary School Teachers, Computer Science Education, Programming, Abstract Reasoning
Aragon, Stephanie – Education Commission of the States, 2018
Districts across the country are facing severe shortages of teachers--especially in certain subjects (math, science, special education, career and technical education, and bilingual education) and in specific schools (urban, rural, high-poverty, high-minority, and low-achieving). The severity of the teacher shortage problem varies significantly by…
Descriptors: Teacher Recruitment, Teacher Shortage, Teacher Supply and Demand, State Legislation
Chitwood, Nicholas Richard – ProQuest LLC, 2018
This study examined the effect of various district and site level conditions that influence the frequency of teacher data-driven decision-making behaviors. This study is motivated by four research questions: 1) Among various kinds of data available to teachers and principals in making data-driven decisions: a. What is the relative level of…
Descriptors: Data, Decision Making, Teachers, Administrator Behavior
Malessa, Eva – Research-publishing.net, 2018
This study investigated what log files can reveal about learner behaviour of low- and non-literate adults learning to read for the first time in Finnish as a second language. The participants' reading development was supported by practising in an online training environment. Log files, automatically created user-computer interaction records, were…
Descriptors: Illiteracy, Literacy Education, Finno Ugric Languages, Second Language Learning
Aliyeva, Aida; Cody, Christopher A.; Low, Kathryn – National Postsecondary Education Cooperative, 2018
This report updates the 2011-12 Integrated Postsecondary Education Data System (IPEDS) survey components report--"The History and Origins of Survey Items for the Integrated Postsecondary Education Data System"--in order to reflect the 2016-17 data collection. As the first report did, this report provides an inventory of the IPEDS data…
Descriptors: Postsecondary Education, School Surveys, Test Items, Data Collection
Pendry, Victoria – Development Education Research Centre, 2018
This research set out to explore the connections between the use of global data in primary mathematics lessons as a way of engaging and inspiring teachers and pupils and raising levels of participation from more reluctant mathematicians. The study explores to what extent teachers are keen to use this approach to teaching and learning in…
Descriptors: Elementary School Mathematics, Mathematics Instruction, Teaching Methods, Foreign Countries
Glancey, Kathleen – Council for Adult and Experiential Learning, 2018
The adult learner is often defined by age (25 years or older) as an easy way to distinguish this group from students who head to college straight out of high school. But age is insufficient as a defining factor. The growing popularity of other terms like nontraditional student--and more recently, terms like post-traditional student or today's…
Descriptors: Student School Relationship, Nontraditional Students, Data Use, Program Effectiveness
Waters, Andrew; Studer, Christoph; Baraniuk, Richard – Journal of Educational Data Mining, 2014
Identifying collaboration between learners in a course is an important challenge in education for two reasons: First, depending on the courses rules, collaboration can be considered a form of cheating. Second, it helps one to more accurately evaluate each learners competence. While such collaboration identification is already challenging in…
Descriptors: Cooperation, Large Group Instruction, Online Courses, Probability
Monroy, Carlos; Rangel, Virginia Snodgrass; Whitaker, Reid – Journal of Learning Analytics, 2014
In this paper, we discuss a scalable approach for integrating learning analytics into an online K-12 science curriculum. A description of the curriculum and the underlying pedagogical framework is followed by a discussion of the challenges to be tackled as part of this integration. We include examples of data visualization based on teacher usage…
Descriptors: Elementary Secondary Education, Science Education, Science Curriculum, Educational Research
Ochoa, Xavier; Suthers, Dan; Verbert, Katrien; Duval, Erik – Journal of Learning Analytics, 2014
Analyzing a conference, especially one as young and focused as LAK, provides the opportunity to observe the structure and contributions of the scientific community around it. This work will perform a Scientometric analysis, coupled with a more in-depth manual content analysis, to extract this insight from the proceedings and program of LAK 2013.…
Descriptors: Data Analysis, Data Collection, Conferences (Gatherings), Content Analysis