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Mannino, Michael V.; Khojah, Mohammed; Gregg, Dawn G. – Journal of Information Systems Education, 2021
This paper describes an innovative approach for teaching the challenges in the management of data warehouse development. The approach contains lecture material providing conceptual background about the management of data warehouse development, a simulation game supporting experiential learning, and a post-play debriefing to support synthesis of…
Descriptors: Game Based Learning, Simulation, Data Analysis, Teaching Methods
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Nyland, Rob – Journal of Educational Technology Systems, 2018
The purpose of this literature review is to understand the current state of research on tools that collect data for the purpose of formative assessment. We were interested in identifying the types of data collected by these tools, how these data were processed, and how the processed data were presented to the instructor or student for the purpose…
Descriptors: Formative Evaluation, Data Collection, Data Processing, Data Analysis
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Rhodes, Marjorie; Rizzo, Michael T.; Foster-Hanson, Emily; Moty, Kelsey; Leshin, Rachel A.; Wang, Michelle; Benitez, Josie; Ocampo, John Daryl – Journal of Cognition and Development, 2020
This article introduces an accessible approach to implementing unmoderated remote research in developmental science -- research in which children and families participate in studies remotely and independently, without directly interacting with researchers. Unmoderated remote research has the potential to strengthen developmental science by: (1)…
Descriptors: Research, Cognitive Development, Children, Family (Sociological Unit)
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Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
This data file documentation accompanies new data files for the High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection (PETS-SR). HSLS:09 follows a nationally representative sample of students who were ninth-graders in fall 2009 from high school into postsecondary…
Descriptors: Longitudinal Studies, High School Students, Sampling, Data Collection
Pakdaman Naeini, Mahdi – ProQuest LLC, 2016
Learning probabilistic classification and prediction models that generate accurate probabilities is essential in many prediction and decision-making tasks in machine learning and data mining. One way to achieve this goal is to post-process the output of classification models to obtain more accurate probabilities. These post-processing methods are…
Descriptors: Probability, Prediction, Predictor Variables, Models
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ElAtia, Samira; Ipperciel, Donald; Zaiane, Osmar; Bakhshinategh, Behdad; Thibaudeau, Patrick – International Journal of Information and Learning Technology, 2021
Purpose: In this paper, the challenging and thorny issue of assessing graduate attributes (GAs) is addressed. An interdisciplinary team at The University of Alberta -- developed a formative model of assessment centered on students and instructor interaction with course content. Design/methodology/approach: The paper starts by laying the…
Descriptors: Foreign Countries, College Graduates, Student Characteristics, Formative Evaluation
Andreas Bueckle – ProQuest LLC, 2021
In the age of big data, interactive data visualizations are becoming increasingly prevalent. The ability to focus on subsets of data is essential for exploring large temporal, geospatial, topical, and network datasets. In order to categorize all parts of data visualizations, various attempts have been made to build frameworks for how to interpret,…
Descriptors: Computer Simulation, Visual Aids, Computer Interfaces, Technology Uses in Education
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Ruiz-Calleja, Adolfo; Dennerlein, Sebastian; Kowald, Dominik; Theiler, Dieter; Lex, Elisabeth; Ley, Tobias – Journal of Learning Analytics, 2019
In this paper, we propose the Social Semantic Server (SSS) as a service-based infrastructure for workplace and professional learning analytics (LA). The design and development of the SSS have evolved over eight years, starting with an analysis of workplace learning inspired by knowledge creation theories and their application in different…
Descriptors: Workplace Learning, Learning Analytics, Data Processing, Data Collection
Johnson, Gerald – ProQuest LLC, 2016
With the increase in technology in all facets of our lives and work, there is an ever increasing set of expectations that people have regarding information availability, response time, and dependability. While expectations are affected by gender, age, experience, industry, and other factors, people have expectations of technology, and from…
Descriptors: Statistical Analysis, Differences, Data Processing, Computer Software
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Joseph G. Donelan; Yu Liu – Advances in Accounting Education: Teaching and Curriculum Innovations, 2021
This chapter advocates a teaching approach for the statement of cash flows (SCF) that includes introduction of the SCF early in the curriculum using the accounting equation format, which helps students visualize the cash and accrual activities. We then adapt this accounting equation format to a worksheet model that can be used later in the…
Descriptors: Accounting, Business Education, Teaching Methods, Curriculum Design
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Chopra, Shivangi; Gautreau, Hannah; Khan, Abeer; Mirsafian, Melicaalsadat; Golab, Lukasz – International Educational Data Mining Society, 2018
It is well known that post-secondary science and engineering programs attract fewer female students. In this paper, we analyze gender differences through text mining of over 30,000 applications to the engineering faculty of a large North American university. We use syntactic and semantic analysis methods to highlight differences in motivation,…
Descriptors: Gender Differences, Undergraduate Students, Engineering Education, STEM Education
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Weiand, Augusto; Manssour, Isabel Harb; Silveira, Milene Selbach – International Journal of Distance Education Technologies, 2019
With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…
Descriptors: Foreign Countries, Distance Education, Online Courses, Visualization
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Turner, David A. – Compare: A Journal of Comparative and International Education, 2017
In his proposal for comparative education, Marc Antoinne Jullien de Paris argues that the comparative method offers a viable alternative to the experimental method. In an experiment, the scientist can manipulate the variables in such a way that he or she can see any possible combination of variables at will. In comparative education, or in…
Descriptors: Comparative Education, Comparative Analysis, Research Methodology, Predictor Variables
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Avci, Esat; Coskuntuncel, Orkun – Pegem Journal of Education and Instruction, 2019
The purpose of this research is to examine the views of middle school mathematics teachers about the usability of VUstat and TinkerPlots software in data processing learning in the Curriculum of Mathematics Teaching in Middle School (5th, 6th, 7th and 8th grades). In the study, the phenomenology design from qualitative research patterns was…
Descriptors: Middle School Teachers, Mathematics Teachers, Teacher Attitudes, Computer Uses in Education
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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
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