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Ring, Jeremiah J.; Avrit, Karen J.; Black, Jeffrey L. – Annals of Dyslexia, 2017
Thirty years ago in this journal, Aylett Royall Cox reported on the development of "Alphabetic Phonics," a revision of the existing Orton Gillingham treatment for children with dyslexia. This paper continues that discussion and reports on the evolution of that curriculum as it is represented in a comprehensive dyslexia treatment program…
Descriptors: Reading Instruction, Instructional Effectiveness, Dyslexia, Curriculum
Precision of Curriculum-Based Measurement Reading Data: Considerations for Multiple-Baseline Designs
Klingbeil, David A.; Van Norman, Ethan R.; Nelson, Peter M. – Journal of Behavioral Education, 2017
Single-case designs provide an established technology for evaluating the effects of academic interventions. Researchers interested in studying the long-term effects of reading interventions often use curriculum-based measures of reading (CBM-R) as they possess many of the desirable characteristics for use in a time-series design. The reliability…
Descriptors: Curriculum Based Assessment, Accuracy, Scores, Reading Skills
Nagle, Courtney; Tracy, Tyler; Adams, Gregory; Scutella, Daniel – International Journal of Mathematical Education in Science and Technology, 2017
This paper investigates outcomes of building students' intuitive understanding of a limit as a function's predicted value by examining introductory calculus students' conceptions of limit both before and after instruction. Students' responses suggest that while this approach is successful at reducing the common "limit equals function…
Descriptors: Calculus, Student Reaction, Thinking Skills, Mathematical Logic
Dun, Yijie; Wang, Na; Wang, Min; Hao, Tianyong – International Journal of Distance Education Technologies, 2017
In a question-answering system, learner generated content including asked and answered questions is a meaningful resource to capture learning interests. This paper proposes an approach based on question topic mining for revealing learners' concerned topics in real community question-answering systems. The authors' approach firstly preprocesses all…
Descriptors: Natural Language Processing, Information Retrieval, Data Processing, Pattern Recognition
Stewart, Jesse; Kohlberger, Martin – Language Documentation & Conservation, 2017
Existing methods for collecting and analyzing nasality data are problematic for linguistic fieldworkers: aerodynamic equipment can be expensive and difficult to transport, and acoustic analyses require large amounts of optimally-recorded data. In this paper, a highly mobile and low-cost method is proposed. By connecting low impedance earbuds into…
Descriptors: Data Collection, Data Analysis, Acoustics, Electromechanical Technology
Coburn, Karen L. – ProQuest LLC, 2017
The purpose of the study was to determine whether the advent of healthcare information technology was a viable career pathway for the people of northeastern Kentucky. The qualitative study used the Delphi Method to conduct and examine interviews with nine experts in Kentucky's workforce development, economic development, education, and healthcare…
Descriptors: Health Services, Information Technology, Labor Force Development, Qualitative Research
Smith, Benjamin M. – ProQuest LLC, 2017
This phenomenological study was designed to investigate the coping strategies of teachers with dyslexia. Six middle and high school teachers from three different states in the US Midwest and South were interviewed. Interview data were analyzed for consistent themes and emergent details. Findings indicated that teachers with dyslexia employ a…
Descriptors: Phenomenology, Secondary School Teachers, Dyslexia, Coping
Klingler, Severin; Wampfler, Rafael; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2017
Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…
Descriptors: Classification, Artificial Intelligence, Networks, Learning Disabilities
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
Many states struggle with collecting reliable and valid state-level data that can be leveraged to maximize the use of funds. This is particularly challenging when providing early intervention services in states where Medicaid uses clinic rates that are lower than the natural environment rates covered by state or federal Part C funds. This state…
Descriptors: Data Use, Data Analysis, Educational Finance, Early Intervention
Rowe, Shawn; Riggio, Mariapaola; De Amicis, Raffaele; Rowe, Susan R. – Education Sciences, 2020
This paper discusses elementary, and secondary (K-12) teachers' perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12 science,…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Artificial Intelligence
Rogiers, Amelie; Merchie, Emmelien; van Keer, Hilde – Frontline Learning Research, 2020
The current study uncovers secondary school students' actual use of text-learning strategies during an individual learning task by means of a concurrent self-reported thinking aloud procedure. Think-aloud data of 51 participants with different learning strategy profiles, distinguished based on a retrospective self-report questionnaire (i.e., 15…
Descriptors: Secondary School Students, Learning Strategies, Protocol Analysis, Research Methodology
Chestnutt, Hannah Renée – School Effectiveness and School Improvement, 2020
The choice of a social network analysis approach for the exploration of relationships in educational settings provides the opportunity for a unique perspective about informal networks of relationships. Rather than considering only the attributes of individuals or organizations, social network analysis affords the opportunity to also examine the…
Descriptors: Social Networks, Network Analysis, Social Structure, Interpersonal Relationship
Ahn, Byunghoon; Harley, Jason M. – British Journal of Educational Technology, 2020
Learning analytics (LA) incorporates analyzing cognitive, social and emotional processes in learning scenarios to make informed decisions regarding instructional design and delivery. Research has highlighted important roles that emotions play in learning. We have extended this field of research by exploring the role of emotions in a relatively…
Descriptors: Nonverbal Communication, Computer Software, LGBTQ People, Data Analysis
Nazzaro, Valerie; Rose, Jennifer; Dierker, Lisa – Statistics Education Research Journal, 2020
A central challenge of introductory statistics is the development of curricula that not only serve diverse students, but also leave them wanting more. To evaluate the potential impact of a multidisciplinary, project-based introductory statistics course, students' future course decisions were compared against traditional statistics courses using…
Descriptors: Enrollment Influences, Undergraduate Students, Student Characteristics, Student Interests
Hung, Jeng-Fung; Tsai, Chun-Yen – Journal of Baltic Science Education, 2020
Previous studies on the effectiveness of virtual laboratories for learning have shown inconsistent results over the past decade. The purpose of this research was to explore the effects of a virtual laboratory and meta-cognitive scaffolding on students' data modeling competences. A quasi-experimental design was used. Three classes of eighth graders…
Descriptors: Metacognition, Computer Simulation, Comparative Analysis, Science Laboratories

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