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Hsu, Jane Lu; Jones, Abram; Lin, Jia-Huei; Chen, You-Ren – Teaching Statistics: An International Journal for Teachers, 2022
The objective of this study is to present and discuss how data visualization can be incorporated into teaching approaches by business faculty in introductory business statistics to strengthen business students' practical skills. Data visualization lessens difficulties in learning statistics by providing opportunities to illustrate analytical…
Descriptors: Statistics Education, Introductory Courses, COVID-19, Pandemics
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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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Ennouamani, Soukaina; Mahani, Zouhir; Akharraz, Laila – Education and Information Technologies, 2020
To date, the growth usage of mobile technologies and devices as well as the ubiquitous wireless communication have led to the development of new systems and applications in many fields and areas including education. This technological progress can be used to facilitate the students' lives by creating smart and personalized solutions considering…
Descriptors: Management Systems, Telecommunications, Handheld Devices, Computer Software
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Czerkawski, Betul C. – Online Journal of Distance Learning Administration, 2015
While student data systems are nothing new and most educators have been dealing with student data for many years, learning analytics has emerged as a new concept to capture educational big data. Learning analytics is about better understanding of the learning and teaching process and interpreting student data to improve their success and learning…
Descriptors: Electronic Learning, Data, Data Analysis, Learning Processes
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Yau, Jane Y. K.; Joy, Mike – International Journal of Distance Education Technologies, 2013
The purpose of this paper is to show the technical feasibility of implementing their mobile context-aware learning schedule (mCALS) framework as a software application on a mobile device using current technologies, prior to its actual implementation. This process draws a set of compatible mobile and context-aware technologies at present and can be…
Descriptors: Telecommunications, Educational Technology, Computer Oriented Programs, Computer Software
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Pernas, Ana Marilza; Diaz, Alicia; Motz, Regina; de Oliveira, Jose Palazzo Moreira – Interactive Technology and Smart Education, 2012
Purpose: The broader adoption of the internet along with web-based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching-controlled learning style has given up space to a new…
Descriptors: Electronic Learning, Student Needs, Cognitive Style, Internet
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Chen, Ling-Hsiu – Computers & Education, 2011
Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately…
Descriptors: Foreign Countries, Educational Technology, Cognitive Style, Self Efficacy
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Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style