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Kelly, Anthony E. – Journal of Learning Analytics, 2017
In this short thought-piece, I attempt to capture the type of freewheeling discussions I had with our late colleague, Mika Seppälä, a research mathematician from Helsinki. Mika, not being a psychometrician or learning scientist, was blissfully free from the design constraints that experts sometimes ingest, unwittingly. I also draw on delightful…
Descriptors: Data, Learning, Data Analysis, Numbers
Gongjun Xu; Sy Han Chiou; Chiung-Yu Huang; Mei-Cheng Wang; Jun Yan – Grantee Submission, 2017
Recurrent event data arise frequently in various fields such as biomedical sciences, public health, engineering, and social sciences. In many instances, the observation of the recurrent event process can be stopped by the occurrence of a correlated failure event, such as treatment failure and death. In this article, we propose a joint scale-change…
Descriptors: Failure, Change, Models, Simulation
Uslu, Rukiye; Baglama, Basak – Journal of Educational Psychology - Propositos y Representaciones, 2020
Positive behavioral support is an approach that uses the principles of applied behavior analysis and system changes to improve individuals' quality of life and reduce problem behaviors. In positive behavior support, it is aimed to determine the functions of the problem behaviors of the child and to gain appropriate behaviors that meet the same…
Descriptors: Positive Behavior Supports, Educational Trends, Bibliometrics, Educational Research
Osmanoglu, Usame Omer; Atak, Osman Nuri; Caglar, Kerim; Kayhan, Hüseyin; Can, Talat Cemre – Journal of Educational Technology and Online Learning, 2020
Nowadays many companies and institutions are interested in learning what do people think and want. Many studies are conducted to answer these questions. That's why, emotions of people are significant in terms of instructional design. However, processing and analysis of many people's ideas and emotions is a challenging task. That is where the…
Descriptors: Data Analysis, Student Attitudes, Distance Education, Instructional Materials
Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
Yazici, Hulya Julie – Decision Sciences Journal of Innovative Education, 2020
The increasing use of massive data requires effective teaching strategies for business analytics. The discipline combines analytical skills, information technology, and business-domain knowledge, and is challenging to teach to business students. This research demonstrates that business undergraduate students can benefit from an experiential…
Descriptors: Student Projects, Active Learning, Business Administration Education, Undergraduate Students
Lee, Okhee; Campbell, Todd – Journal of Science Teacher Education, 2020
The COVID-19 pandemic is a historic global event that has extended to all parts of society and shaken the core of what we know and how we live. During this pandemic, the work of STEM professionals has taken center stage. Through our close observations of how the events of the pandemic have been unfolding across the globe, we propose an…
Descriptors: COVID-19, Pandemics, Science Teachers, Science Education
Reinholz, Daniel L.; Stone-Johnstone, Amelia; Shah, Niral – International Journal for Academic Development, 2020
Implicit bias is an issue that all instructors must face in their classrooms; this article describes an academic development method to help instructors address it. The method centres on EQUIP (https://www.equip.ninja), a free, web-based application for performing classroom observations that provides data disaggregated by social markers.…
Descriptors: Observation, Data Analysis, College Faculty, Mathematics Instruction
Cho, Eunsoon; Cho, Young Hoan; Grant, Michael M.; Song, Donggil; Huh, Yeol – TechTrends: Linking Research and Practice to Improve Learning, 2020
The Korean Society for Educational Technology (KSET) hosted its second panel discussion partnering with the Association for Educational Communications and Technology (AECT) at the 2019 AECT Convention in Las Vegas, Nevada. A total of four panelists, two from Korea and two from the U.S., participated in the discussion on the trends of educational…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Telecommunications
Guerra, Julio; Ortiz-Rojas, Margarita; Zúñiga-Prieto, Miguel Angel; Scheihing, Eliana; Jiménez, Alberto; Broos, Tom; De Laet, Tinne; Verbert, Katrien – British Journal of Educational Technology, 2020
Despite the success of academic advising dashboards in several higher educational institutions (HEI), these dashboards are still under-explored in Latin American HEI's. To close this gap, three different Latin American universities adapted an existing advising dashboard, originally deployed at the KU Leuven to their own context. In all three…
Descriptors: Academic Advising, Management Systems, Universities, Decision Making
Ariyachandra, Thilini – Information Systems Education Journal, 2020
During the past decade, digital transformation enabled by big data and analytics emerged as a key theme in the business world. It promises to continue be a theme of major importance in the 2020s. Digital transformation comes at the cost of grappling with and analyzing the ever-growing volume of data. Data visualization techniques are seen as a…
Descriptors: Skill Development, Undergraduate Students, Data Analysis, Data Use
Selwyn, Neil; Gaševic, Dragan – Teaching in Higher Education, 2020
A common recommendation in critiques of datafication in education is for greater conversation between the two sides of the (critical) divide -- what might be characterised as sceptical social scientists and (supposedly) more technically-minded and enthusiastic data scientists. This article takes the form of a dialogue between two academics…
Descriptors: Criticism, Data Analysis, Higher Education, Dialogs (Language)
Hayes, Aneta; Cheng, Jie – Teaching in Higher Education, 2020
The paper critiques key international teaching excellence and higher education outcomes frameworks for their lack of attention to epistemic equality. It subsequently argues that adequate 'datafication' of these frameworks, to demonstrate the extent to which universities offer teaching experiences which promote intellectual equivalence of all…
Descriptors: Educational Quality, Data Collection, Data Analysis, Teacher Effectiveness
Okoye, Kingsley; Arrona-Palacios, Arturo; Camacho-Zuñiga, Claudia; Hammout, Nisrine; Nakamura, Emilia Luttmann; Escamilla, Jose; Hosseini, Samira – International Journal of Educational Technology in Higher Education, 2020
Today, modern educational models are concerned with the development of the teacher-student experience and the potential opportunities it presents. User-centric analyses are useful both in terms of the socio-technical perspective on data usage within the educational domain and the positive impact that data-driven methods have. Moreover, the use of…
Descriptors: Data Collection, Data Analysis, Student Attitudes, Student Evaluation of Teacher Performance
Dapiton, Ethelbert P.; Canlas, Ranie B. – European Journal of Educational Research, 2020
Research productivity plays an important role in the prestige and reputation among higher education institutions. However, the time spent to do research among Filipino academics is the most pressing issue since they can barely meet the requirement for research productivity. Further, the lack of time for data gathering aggravated the drawbacks for…
Descriptors: College Faculty, Data Analysis, Productivity, Reputation