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Yamaguchi, Kazuo – Sociological Methods & Research, 2016
This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…
Descriptors: Data Analysis, Surveys, Statistical Analysis, Regression (Statistics)
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Leavy, Aisling; Hourigan, Mairead – Teaching Statistics: An International Journal for Teachers, 2016
We argue that the development of statistical literacy is greatly supported by engaging students in carrying out statistical investigations. We describe the use of driving questions and interesting contexts to motivate two statistical investigations. The PPDAC cycle is use as an organizing framework to support the process statistical investigation.
Descriptors: Statistics, Statistical Analysis, Literacy, Questioning Techniques
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Onwuegbuzie, Anthony J.; Weinbaum, Rebecca K. – Journal of Educational Issues, 2016
Recently, several authors have attempted to make the literature review process more transparent by providing a step-by-step guide to conducting literature reviews. However, although these works are very informative, none of them delineate how to display information extracted from literature reviews in a reader-friendly and visually appealing…
Descriptors: Literature Reviews, Visual Aids, Qualitative Research, Data Analysis
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Williamson, Ben – Pedagogy, Culture and Society, 2016
Educational data science is an emerging transdisciplinary field formed from an amalgamation of data science and elements of biological, psychological and neuroscientific knowledge about learning, or learning science. This article conceptualises educational data science as a biopolitical strategy focused on the evaluation and management of the…
Descriptors: Neurosciences, Case Studies, Data Analysis, Data
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Eacott, Scott – Journal of Educational Administration, 2023
Purpose: Education is a key institution of modern society, long recognized for its central role in the reproduction of inequities and with the potential to challenge them. Schools behave as their systems are designed. Achieving equity and excellence is not possible through attempts to fix "the school" or educators. Principles of systemic…
Descriptors: Equal Education, Educational Quality, Instructional Design, Outcomes of Education
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Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
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Ipek, Ziyaeddin Halid; Gözüm, Ali Ibrahim Can; Papadakis, Stamatios; Kallogiannakis, Michail – Educational Process: International Journal, 2023
Background/purpose: ChatGPT is an artificial intelligence program released in November 2022, but even now, many studies have expressed excitement or concern about its introduction into academia and education. While there are many questions to be asked, the current study reviews the literature in order to reveal the potential effects of ChatGPT on…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Benefits
Fabienne van der Kleij; Pauline Taylor-Guy; Tanya Vaughan; Marijne Medhurst; Christina Rogers – Australian Council for Educational Research, 2023
This literature review outlines the evidence that underpins the development of a set of evidence-informed elaborations, or specific practices, that support student engagement and wellbeing across the 9 domains of the National School Improvement Tool (NSIT). These observable, measurable practices to support student engagement and wellbeing have…
Descriptors: Educational Improvement, Learner Engagement, Well Being, Academic Achievement
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Wong, Billy Tak-Ming; Li, Kam Cheong; Choi, Samuel Ping-Man – Interactive Technology and Smart Education, 2018
Purpose: This paper aims to review and identify the major patterns and trends in learning analytics practices in higher education institutions. The review covers the characteristics of the institutions, as well as the characteristics and outcomes of the learning analytics practices. Design/methodology/approach: This research collected literature…
Descriptors: Educational Trends, Educational Practices, Educational Research, Data Collection
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Laursen, Bethany K. – Issues in Interdisciplinary Studies, 2018
This article aims to convince readers of the value of intersecting the scholarship of interdisciplinarity with the field of argumentation studies. The interdisciplinarity literature has not much engaged with the vehicle that carries interdisciplinary learning, languages, and locutions: the argument. On the argumentation studies side, despite the…
Descriptors: Interdisciplinary Approach, Persuasive Discourse, Inferences, Pattern Recognition
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Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
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Shimada, Atsushi; Konomi, Shin'ichi; Ogata, Hiroaki – Interactive Technology and Smart Education, 2018
Purpose: The purpose of this study is to propose a real-time lecture supporting system. The target of this study is on-site classrooms where teachers give lectures and a lot of students listen to teachers' explanations, conduct exercises, etc. Design/methodology/approach: The proposed system uses an e-learning system and an e-book system to…
Descriptors: Lecture Method, Electronic Learning, Feedback (Response), Electronic Publishing
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Fabo, Brian; Kahanec, Martin – International Journal of Social Research Methodology, 2018
In this paper, we compare the estimates of earnings determinants based on the non-probabilistic WageIndicator web survey with those based on the widely used, representative EU Study of Income and Living Conditions survey. Using 10 years of Dutch data, we show that there exists an established segment of predominantly junior workers from which the…
Descriptors: Foreign Countries, Online Surveys, Wages, Income
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Henshaw, Alexis Leanna; Meinke, Scott R. – Journal of Political Science Education, 2018
While data analysis and the related skills of data management and data visualization are important skills for undergraduates in the field of political science, the process of learning these skills can also be used to develop critical thinking, encourage active and collaborative learning, and to apply knowledge gained in the classroom. Drawing on…
Descriptors: Undergraduate Students, Data Analysis, Visualization, Active Learning
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Schumacher, Clara; Ifenthaler, Dirk – Journal of Computing in Higher Education, 2018
Depending on their motivational dispositions, students choose different learning strategies and vary in their persistence in reaching learning outcomes. As learning is more and more facilitated through technology, analytics approaches allow learning processes and environments to be analyzed and optimized. However, research on motivation and…
Descriptors: Student Motivation, Learning Strategies, Goal Orientation, Self Concept
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