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Universities UK, 2016
Learning analytics provide a set of powerful tools to inform and support learners. They enable institutions and individuals to better understand and predict personal learning needs and performance. Universities already collect vast amounts of data about their student populations, but often this is underutilised. The current "state of the…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Gulikers, Judith – AERA Online Paper Repository, 2016
This paper studies, using quantitative and qualitative data, the effectivity of a professional development approach in which a national summative assessment is used formatively to stimulate 19 teacher teams in Dutch secondary education to improve their data use for instruction and learning. The approach is based on conceptual similarities between…
Descriptors: Evidence Based Practice, Decision Making, Faculty Development, Summative Evaluation
Stevenson, Bradley – National Technical Assistance Center on Transition, 2016
Data-based decision making refers to collecting, analyzing, and reporting data to drive school improvement. This can apply to any level of the school from individual students to the entire system. When applied to the field of secondary transition, it refers to using data to drive decisions to improve the in-school and post-school success of…
Descriptors: Data Analysis, Data Use, Decision Making, Educational Improvement
Hoppe, H. Ulrich – Journal of Learning Analytics, 2015
This commentary elaborates on the role of "grounding" as a focal theoretical concept and aims to contextualize the claims formulated by Schneider and Pea (2015, this issue) in previous CSCL discussions. It provides fingerposts for enriching and refining the concept of grounding from a pedagogical point of view. It also suggests using the…
Descriptors: Eye Movements, Interaction, Cooperative Learning, Semantics
Cafri, Guy; Banerjee, Samprit; Sedrakyan, Art; Paxton, Liz; Furnes, Ove; Graves, Stephen; Marinac-Dabic, Danica – Research Synthesis Methods, 2015
The motivating example for this paper comes from a distributed health data network, the International Consortium of Orthopaedic Registries (ICOR), which aims to examine risk factors for orthopedic device failure for registries around the world. Unfortunately, regulatory, privacy, and propriety concerns made sharing of raw data impossible, even if…
Descriptors: Meta Analysis, Surgery, Data, Networks
Gaševic, Dragan; Dawson, Shane; Siemens, George – TechTrends: Linking Research and Practice to Improve Learning, 2015
The analysis of data collected from the interaction of users with educational and information technology has attracted much attention as a promising approach for advancing our understanding of the learning process. This promise motivated the emergence of the new research field, learning analytics, and its closely related discipline, educational…
Descriptors: Data Collection, Educational Research, Data Analysis, Information Technology
Santiago Berrezueta Ed. – Lecture Notes in Educational Technology, 2023
The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming…
Descriptors: Educational Technology, Active Learning, Design, Telecommunications
Kurniawan, Citra; Setyosari, Punaji; Kamdi, Waras; Ulfa, Saida – Problems of Education in the 21st Century, 2019
The purpose of this research was to build a classification model and to measure the correlation of self-efficacy with visual-verbal preferences using data mining methods. This research used the J48 classifier and linear projection method as an approach to see patterns of data distribution between self-efficacy and visual-verbal preferences. The…
Descriptors: Engineering Education, Self Efficacy, Preferences, Verbal Learning
Papadimitriou, Maria; Johnes, Jill – Studies in Higher Education, 2019
This paper focuses on the effect of merger on university efficiency. In a first stage analysis, efficiency scores of English universities are derived for a 17-year period using the frontier estimation method data envelopment analysis. A second stage analysis explores the effect of merger and other factors on efficiency. We find that mean…
Descriptors: Organizational Change, Universities, Efficiency, Educational Policy
Watson, Cate – Review of Education, 2019
Research interest in educational governance has increased in recent years with the rise to prominence of transnational organisations such as the Organisation for Economic Co-operation and Development (OECD) and the importance attached to international comparison of educational systems. However, rarely do educational researchers consider the…
Descriptors: Governance, Educational Administration, Accountability, Data Use
Winne, Philip H.; Teng, Kenny; Chang, Daniel; Lin, Michael Pin-Chuan; Marzouk, Zahia; Nesbit, John C.; Patzak, Alexandra; Rakovic, Mladen; Samadi, Donya; Vytasek, Jovita – Journal of Learning Analytics, 2019
Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. Gaševic, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning…
Descriptors: Learning Analytics, Learning Processes, Independent Study, Computer Software
Lee, Hyunjoo; Morningstar, Mary E. – Research and Practice for Persons with Severe Disabilities, 2019
A secondary analysis of data from the National Longitudinal Transition Study--2 (NLTS2) was conducted to examine predictors associated with improved postschool community participation of young adults with severe disabilities. Multidimensional item response theory was used to establish criterion and predictor constructs and examine predictive…
Descriptors: Predictor Variables, Community Involvement, Severe Disabilities, Longitudinal Studies
Tang, Hengtao; Xing, Wanli; Pei, Bo – Journal of Educational Computing Research, 2019
Learning and participation are inseparable in online environments. To improve online learning, much effort has been devoted to encouraging online participation. However, previous research has investigated participation from a variable-based perspective, looking only for relationships between participation and other variables. Time can change and…
Descriptors: Time Factors (Learning), Electronic Learning, Data Analysis, Longitudinal Studies
Samuel, Gabrielle; Derrick, Gemma E.; van Leeuwen, Thed – Minerva: A Review of Science, Learning and Policy, 2019
This paper examines the consequences of a culture of "personal ethics" when using new methodologies, such as the use of social media (SM) sites as a source of data for research. Using SM research as an example, this paper explores the practices of a number of actors and researchers within the "Ethics Ecosystem" which as a…
Descriptors: Ethics, Social Media, Information Sources, Networks
Simpson, Amber; Anderson, Alice; Maltese, Adam V. – Journal of Science Education and Technology, 2019
A lot of attention has been given to the role failure plays in learning and innovation. Yet, we know little about the conditions necessary for the experience to result in positive outcomes. In this study, we sought to answer three research questions: (1) What is the relationship among attend, interpret, and respond when experiencing failures…
Descriptors: Youth, Science Teachers, Academic Failure, Correlation

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