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Mouri, Kousuke; Suzuki, Fumiya; Shimada, Atsushi; Uosaki, Noriko; Yin, Chengjiu; Kaneko, Keiichi; Ogata, Hiroaki – Interactive Learning Environments, 2021
This paper describes a method to collect data of which section of pages learners were browsing in digital textbooks without eye-tracking technologies. In previous researches on digital textbook systems, it was difficult to collect such data without using eye-tackers. However, eye-trackers cost a massive budget. Our proposed system automatically…
Descriptors: Data Analysis, Textbooks, Electronic Publishing, Data Collection
Abraham, Traci H.; Finley, Erin P.; Drummond, Karen L.; Haro, Elizabeth K.; Hamilton, Alison B.; Townsend, James C.; Littman, Alyson J.; Hudson, Teresa – American Journal of Evaluation, 2021
This article outlines a three-phase, team-based approach used to analyze qualitative data from a nation-wide needs assessment of access to Veteran Health Administration services for rural-dwelling veterans. The method described here was used to develop the trustworthiness of findings from analysis of a large qualitative data set, without the use…
Descriptors: Qualitative Research, Credibility, Data, Data Analysis
Sickler, Jessica; Bardar, Erin; Kochevar, Randy – Journal of College Science Teaching, 2021
Data literacy, or students' abilities to understand, interpret, and think critically about data, is an increasing need in K-16 science education. Ocean Tracks College Edition (OTCE) sought to address this need by creating a set of learning modules that engage students in using large-scale, professionally collected animal migration and physical…
Descriptors: Information Literacy, Data Analysis, Undergraduate Students, Scoring Rubrics
LeBeau, Brandon; Ellison, Scott; Aloe, Ariel M. – Review of Research in Education, 2021
A reproducible analysis is one in which an independent entity, using the same data and the same statistical code, would obtain the exact same result as the previous analyst. Reproducible analyses utilize script-based analyses and open data to aid in the reproduction of the analysis. A reproducible analysis does not ensure the same results are…
Descriptors: Educational Research, Replication (Evaluation), Data Analysis, Evaluation Methods
Poole, Adam – International Journal of Research & Method in Education, 2021
This paper is a reflective account of using narrative inquiry and relational ethics as part of doctoral research that explored the lived experiences and identity construction of international school teachers in Shanghai, China. Specifically, it illustrates how narrative inquiry informed the whole research process by focusing on three aspects of…
Descriptors: Teaching Experience, International Schools, Foreign Countries, Personal Narratives
Selwyn, Neil; Pangrazio, Luci; Cumbo, Bronwyn – Research in Education, 2021
Contemporary schooling is seen to be altering significantly in light of a combined 'digitisation' and 'datafication' of key processes. This paper examines the nature and conditions of the datafied school by exploring how a relatively prosaic and longstanding school metric (student attendance data) is being produced and used in digital form.…
Descriptors: Data Analysis, Data Use, Attendance, School Personnel
Prat, Alain; Code, Warren J. – International Journal of Mathematical Education in Science and Technology, 2021
The online homework system WeBWorK has been successfully used at several hundred colleges and universities. Despite its popularity, the WeBWorK system does not provide detailed metrics of student performance to instructors. In this article, we illustrate how an analysis of the log files of the WeBWorK system can provide information such as the…
Descriptors: Data Analysis, Homework, Student Behavior, Educational Technology
Boyd, Austin T.; Rocconi, Louis M. – Practical Assessment, Research & Evaluation, 2021
Social Network Analysis (SNA) is a statistical method used to analyze the social structure and interactions among individuals within a network. SNA is used extensively in a number of disciplines such as sociology, geography, and communications research. However, the use of SNA by practitioners and researchers in assessment and evaluation is much…
Descriptors: Social Networks, Network Analysis, Data Analysis, Social Science Research
Braun, Virginia; Clarke, Victoria; Boulton, Elicia; Davey, Louise; McEvoy, Charlotte – International Journal of Social Research Methodology, 2021
Fully "qualitative" surveys, which prioritise qualitative research values, and harness the rich potential of qualitative data, have much to offer qualitative researchers, especially given online delivery options. Yet the method remains underutilised, and there is little in the way of methodological discussion of qualitative surveys.…
Descriptors: Online Surveys, Qualitative Research, Social Science Research, Disclosure
Deja, Marek; Januszko-Szakiel, Aneta; Korycinska, Paloma; Deja, Paulina – College & Research Libraries, 2021
The purpose of this research is to measure the impact of data literacy on psychological empowerment in workplace for newly employed graduates. Since data play an increasingly important role in our lives, including the work environment, it incites research on whether data literacy skills, those related to collecting, processing, analyzing, and…
Descriptors: Information Literacy, Work Environment, Data Collection, Data Analysis
Mojica, Gemma F.; Barker, Heather; Azmy, Christina N.; Lee, Hollylynne S. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
In this study, we investigated how sixth and seventh grade students used CODAP to make sense of roller coaster data while engaged in Exploratory Data Analysis (EDA). Using instrumentation theory, we examined students' instrumentation approaches, as well as the types of instrumental orchestration utilized by teachers as they interacted with student…
Descriptors: Grade 6, Grade 7, Middle School Students, Data Analysis
Kim, Brian; Henke, Graham – Journal of Statistics and Data Science Education, 2021
One of the biggest hurdles of teaching data science and programming techniques to beginners is simply getting started with the technology. With multiple versions of the same coding language available (e.g., Python 2 and Python 3), various additional libraries and packages to install, as well as integrated development environments to navigate, the…
Descriptors: Computer Software, Data Analysis, Programming Languages, Computer Science Education
Marwan, Samiha; Shi, Yang; Menezes, Ian; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2021
Feedback on how students progress through completing subgoals can improve students' learning and motivation in programming. Detecting subgoal completion is a challenging task, and most learning environments do so either with "expert-authored" models or with "data-driven" models. Both models have advantages that are…
Descriptors: Expertise, Models, Feedback (Response), Identification
Bailey, Jessica; Hanita, Makoto; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report provides the foundational information needed to answer policy-relevant research questions related to teacher mobility and retention and presents the decision…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
Denise Robinson – ProQuest LLC, 2021
Before nursing graduates can practice as a registered nurse, they must successfully pass the National Council Licensure Examination for Registered Nurses (NCLEX-RN). Low first-time pass rates on this high-stakes test can cause concern for multiple stakeholders including graduate nurses, nursing programs, health care organizations, and society. The…
Descriptors: Nurses, Licensing Examinations (Professions), Standardized Tests, Scores