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Vogl, Susanne; Zartler, Ulrike; Schmidt, Eva-Maria; Rieder, Irene – International Journal of Social Research Methodology, 2018
Collecting multiple perspectives data (e.g. from related individuals) in a qualitative longitudinal design can provide rich understanding of the dynamics at play in complex relational systems, and the different perceptions of people involved. However, such approaches are inherently challenging due to the complexity and volume of data involved. So…
Descriptors: Qualitative Research, Longitudinal Studies, Interviews, Data Analysis
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Luecht, Richard; Ackerman, Terry A. – Educational Measurement: Issues and Practice, 2018
Simulation studies are extremely common in the item response theory (IRT) research literature. This article presents a didactic discussion of "truth" and "error" in IRT-based simulation studies. We ultimately recommend that future research focus less on the simple recovery of parameters from a convenient generating IRT model,…
Descriptors: Item Response Theory, Simulation, Ethics, Error of Measurement
Zhang, Zhiyong; Liu, Haiyan – Grantee Submission, 2018
Latent change score models (LCSMs) proposed by McArdle (McArdle, 2000, 2009; McArdle & Nesselroade, 1994) offer a powerful tool for longitudinal data analysis. They are becoming increasingly popular in social and behavioral research (e.g., Gerstorf et al., 2007; Ghisletta & Lindenberger, 2005; King et al., 2006; Raz et al., 2008). Although…
Descriptors: Sample Size, Monte Carlo Methods, Data Analysis, Models
Laird, Alexandra; Grootenboer, Peter – Mathematics Education Research Group of Australasia, 2018
Engagement is a multifaceted concept that has attracted recent attention by researchers both in Australia and internationally (Attard, 2012; Chan, Baker, Slee, & Williamson, 2015). For many years mathematics education has been seen as boring and dull, and students have disengaged from a relatively early age in learning and participating in…
Descriptors: Data Collection, Learner Engagement, Mathematics Education, Foreign Countries
Swan, Daniel M.; Pustejovsky, James E. – Grantee Submission, 2018
Single-case designs are a class of repeated measures experiments used to evaluate the effects of interventions for small or specialized populations, such as individuals with low-incidence disabilities. There has been growing interest in systematic reviews and syntheses of evidence from single-case designs, but there remains a need to further…
Descriptors: Research Design, Intervention, Effect Size, Statistical Analysis
Dalrymple, Kirsten A.; Manner, Marie D.; Harmelink, Katherine A.; Teska, Elayne P.; Ellison, Jed T. – Grantee Submission, 2018
The quantitative assessment of eye tracking data quality is critical for ensuring accuracy and precision of gaze position measurements. However, researchers often report the eye tracker's optimal manufacturer's specifications rather than empirical data about the accuracy and precision of the eye tracking data being presented. Indeed, a recent…
Descriptors: Data Collection, Accuracy, Eye Movements, Age Groups
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Ligia Pelosi – Qualitative Research Journal, 2018
Purpose: From the standpoint of a novice researcher, the author has examined how blogging as a literacy practice enables one to explore and understand self in relation to analysing data and making meaning. The purpose of this paper is to discuss how blogging can be used as a reflective and critical tool and explore the notion of blogging as…
Descriptors: Web Sites, Electronic Publishing, Diaries, Personal Narratives
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Miguel, Hugo Gonzaga; Ramos, Pedro; da Cruz Martins, Susana; Costa, Joana Martinho – Education for Information, 2020
One of the most widely researched issue on higher education relates to exposed paths that lead to academic success. Nowadays information systems represent an essential part of the education sector in many universities. In particular, the increasing of the number of students in higher education in Portugal leads to the progressive increase of…
Descriptors: Foreign Countries, Educational Research, Higher Education, Academic Achievement
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Gervet, Theophile; Koedinger, Ken; Schneider, Jeff; Mitchell, Tom – Journal of Educational Data Mining, 2020
Intelligent tutoring systems (ITSs) teach skills using learning-by-doing principles and provide learners with individualized feedback and materials adapted to their level of understanding. Given a learner's history of past interactions with an ITS, a learner performance model estimates the current state of a learner's knowledge and predicts her…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Feedback (Response), Knowledge Level
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Kelley, Allyson; McCoy, Thomas; Fisher, Aryn; Witzel, Morgan; Fatupaito, Bethany; Restad, Desiree – Practical Assessment, Research & Evaluation, 2020
The goal of this paper is to discuss practical recommendations for collecting data with hard to reach populations and data comparability. We also discuss the importance of piloting and community involvement in the process using an example from the Tribal Prevention Initiative (TiPI), a culturally-based substance abuse prevention program for…
Descriptors: Surveys, Data Collection, Pilot Projects, Community Involvement
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Claes, Arnaud; Philippette, Thibault – Journal of Media Literacy Education, 2020
The digital processing of massive data is becoming a central component of our technological infrastructures. While being able to use these tools efficiently is an issue that cannot be ignored, it appears crucial to provide citizens with the means to control their technical environment. Recommender systems and personalization technologies are…
Descriptors: Data Analysis, Critical Literacy, Information Technology, Media Literacy
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Aydogdu, Seyhmus – Turkish Online Journal of Distance Education, 2020
The purpose of this research is a comprehensive review of studies towards educational data mining (EDM) in Turkey. For the purpose of this study, graduate theses and articles conducted in Turkey were examined in detail. As a result of the literature review, 48 studies were analyzed in the context of the data mining purpose, the technique used in…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Academic Achievement
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Han, Jeongyun; Huh, Sun Young; Cho, Young Hoan; Park, SoHyun; Choi, Jinhan; Suh, Bongwon; Rhee, Wonjong – Educational Technology Research and Development, 2020
This study investigates the possibility of utilizing online learning data to design face-to-face activities in a flipped classroom. We focus on heterogeneous group formation for effective collaborative learning. Fifty-three undergraduate students (18 males, 35 females) participated in this study, and 8 students (3 males, 5 females) among them…
Descriptors: Electronic Learning, Learning Analytics, Data Use, Synchronous Communication
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Christie, Angela; Gaillet, Lynée Lewis – Composition Studies, 2020
At Georgia State University (GSU), like at most other institutions, corequisite courses must be taken simultaneously--the information in one is necessary to the full understanding of the other. However, the corequisite pairing describe in this article has a unique history; GSU 1010 course, part of the larger Freshman Learning experience, was…
Descriptors: Data Use, School Holding Power, Academic Achievement, Required Courses
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Scalfani, Vincent F.; Ralph, Serena C.; Al Alshaikh, Ali; Bara, Jason E. – Chemical Engineering Education, 2020
MATLAB live scripts are useful for reproducible programmatic compilation of chemical data and literature. In this article, we use a combination of the PubChem PUG REST Application Programming Interface (API), Structured Data Query (SDQ) agent, and text extraction with MATLAB live scripts that allow programmatic PubChem similarity searching, SMARTS…
Descriptors: Chemical Engineering, Engineering Education, Computer Software, Teaching Methods
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