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Rankin, Jenny Grant – Online Submission, 2015
Data is critical, but data has not always lead to success. If data is not communicated clearly, the results can be disastrous. Design lets us communicate data so it can be understood. Dr. Rankin believes that "when we're fluent in visualizing our ideas, we can communicate them across global boundaries, across spoken language barriers, and…
Descriptors: Data, Information Utilization, Relevance (Education), Data Interpretation
Kajitani, Alex – Educational Horizons, 2015
In this article, the author argues that student data is more than just test scores. Alex Kajitani notes that data matter because they provide crucial information to teachers that enable them to better serve their students. Teachers can use data to determine students' strengths and areas of need. The effective use of data means being able to…
Descriptors: Student Records, Scores, Statistical Data, Information Utilization
Rankin, Jenny Grant – Universal Journal of Educational Research, 2016
Most data-informed decision-making in education is undermined by flawed interpretations. Educator-driven interventions to improve data use are beneficial but not omnipotent, as data misunderstandings persist at schools and school districts commended for ideal data use support. Meanwhile, most data systems and reports display figures without…
Descriptors: Evidence Based Practice, Data Interpretation, Information Utilization, Standards
Douglas, Kerrie A.; Bermel, Peter; Alam, Md Monzurul; Madhavan, Krishna – Journal of Learning Analytics, 2016
MOOCs attract a large number of learners with largely unknown diversity in terms of motivation, ability, and goals. To understand more about learners in highly technical engineering MOOCs, this study investigates patterns of learners' (n = 337) behaviour and performance in the Nanophotonic Modelling MOOC, offered through nanoHUB-U. The authors…
Descriptors: Online Courses, Large Group Instruction, Distance Education, Technology Uses in Education
Backenköhler, Michael; Scherzinger, Felix; Singla, Adish; Wolf, Verena – International Educational Data Mining Society, 2018
Course selection can be a daunting task, especially for first year students. Sub-optimal selection can lead to bad performance of students and increase the dropout rate. Given the availability of historic data about student performances, it is possible to aid students in the selection of appropriate courses. Here, we propose a method to compose a…
Descriptors: Data, Course Selection (Students), Information Utilization, Individualized Instruction
Reporting Data with "Over-the-Counter" Data Analysis Supports Increases Educators' Analysis Accuracy
Rankin, Jenny Grant – Online Submission, 2013
There is extensive research on the benefits of making data-informed decisions to improve learning, but these benefits rely on the data being effectively interpreted. Despite educators' above-average intellect and education levels, there is evidence many educators routinely misinterpret student data. Data analysis problems persist even at districts…
Descriptors: Statistical Data, Data Interpretation, Data Analysis, Error of Measurement
Barra, Cristian; Zotti, Roberto – Tertiary Education and Management, 2017
The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…
Descriptors: Efficiency, School Statistics, Student Records, Information Utilization
Van Gasse, Roos; Vanlommel, Kristin; Vanhoof, Jan; Van Petegem, Peter – School Effectiveness and School Improvement, 2017
Research considers collaboration to be a significant factor in terms of how teachers use data to improve their practice. Nevertheless, the effects of teacher collaboration with regard to teachers' individual data use has remained largely underexplored. Moreover, little attention has been paid to the interplay between collaboration and the personal…
Descriptors: Foreign Countries, Teacher Collaboration, Elementary School Teachers, Secondary School Teachers
ahmed Shafi, Adeela; Hatley, Jenny; Middleton, Tristan; Millican, Richard; Templeton, Sian – Assessment & Evaluation in Higher Education, 2018
This research focuses on the everyday challenge in academic learning of assessment, and argues that academic buoyancy is a key factor in academic success. To scaffold students' learning and effectively support academic buoyancy, there is arguably a need for a better understanding of: (i) what students find most and least useful in their assessment…
Descriptors: Student Evaluation, Feedback (Response), Academic Achievement, Resilience (Psychology)
Ehren, Melanie C. M.; Honingh, M. E.; Hooge, E. H.; O'Hara, J. – Educational Management Administration & Leadership, 2016
This paper addresses if, and to what extent, the current working methods of the Dutch Inspectorate of Education affect the governance of school boards in schools for primary education. A key facet of the working method is the inspection meeting with the school board. Drawing upon a large quantitative study (n = 244) we are able to identify some…
Descriptors: Foreign Countries, Boards of Education, Governing Boards, Governance
Kazanidis, Ioannis; Theodosiou, Theodosios; Petasakis, Ioannis; Valsamidis, Stavros – Interactive Learning Environments, 2016
Database files and additional log files of Learning Management Systems (LMSs) contain an enormous volume of data which usually remain unexploited. A new methodology is proposed in order to analyse these data both on the level of both the courses and the learners. Specifically, "regression analysis" is proposed as a first step in the…
Descriptors: Foreign Countries, Online Courses, Course Evaluation, Electronic Learning
Svinicki, Marilla D.; Williams, Kyle; Rackley, Kadie; Sanders, Anke J. Z.; Pine, Lisa; Stewart, Julie – International Journal for the Scholarship of Teaching and Learning, 2016
Much is being said in education about the value of adopting data-based or analytics approaches to instructional improvement. One important group of stakeholders in this effort is the faculty. "In many cases, the key constituency group is faculty, whose powerful voice and genuine participation often determine the success or failure of…
Descriptors: Instructional Improvement, Performance Factors, Student Records, Information Utilization
Frederick, Karen; Barnard-Brak, Lucy; Sulak, Tracey – International Journal of Research & Method in Education, 2012
There has been a significant increase in the use of secondary data sets. Many such data sets purport to be nationally representative. Secondary data sets include research commissioned by the National Center for Education Statistics, the Centers for Disease Control, and other public entities. Research increasingly utilizes these secondary data in…
Descriptors: Autism, Statistical Analysis, Pervasive Developmental Disorders, Disproportionate Representation
Zimbardi, Kirsten; Colthorpe, Kay; Dekker, Andrew; Engstrom, Craig; Bugarcic, Andrea; Worthy, Peter; Victor, Ruban; Chunduri, Prasad; Lluka, Lesley; Long, Phil – Assessment & Evaluation in Higher Education, 2017
Feedback is known to have a large influence on student learning gains, and the emergence of online tools has greatly enhanced the opportunity for delivering timely, expressive, digital feedback and for investigating its learning impacts. However, to date there have been no large quantitative investigations of the feedback provided by large teams…
Descriptors: Student Evaluation, Feedback (Response), Academic Achievement, Achievement Gains
Schildkamp, Kim; Poortman, Cindy; Luyten, Hans; Ebbeler, Johanna – School Effectiveness and School Improvement, 2017
Although data-based decision making can lead to improved student achievement, data are often not used effectively in schools. This paper therefore focuses on conditions for effective data use. We studied the extent to which school organizational characteristics, data characteristics, user characteristics, and collaboration influenced data use for…
Descriptors: Decision Making, Data, Barriers, Performance Factors