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Krasodomska, Joanna; Godawska, Justyna – Accounting Education, 2021
In this study, we examined the relationship between university students' engagement in a blended learning course and their performance. We also explored the roles which gender and nationality may play in the learning process. Our sample consisted of 335 students of International Accounting course. We used 23,796 student access computer logs as a…
Descriptors: Accounting, Electronic Learning, Correlation, Blended Learning
Reinholz, Daniel; Shah, Niral – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2021
This manuscript focuses on the role of data analytics in mediating how teachers make sense of racial and gender inequity in patterns of student participation in their classrooms. Five middle school mathematics teachers participated in a year-long professional development program, centered on data analytics generated by the EQUIP observation tool.…
Descriptors: Equal Education, Visual Aids, Racial Bias, Gender Bias
Chaturvedi, Ramesh Kumar; Verma, Vishal; Mishra, Kushendra – Smart Learning Environments, 2022
The objective of this research paper is to check the difference between pre and post-session of the Brighter Minds based Cognitive Skill Training. The exploratory and descriptive research design is used in this study. In this investigation, the nine measurement variables are selected for the study such as memory, confidence, concentration,…
Descriptors: Cognitive Ability, Memory, Self Esteem, Intuition
Aydogdu, Seyhmus – Education and Information Technologies, 2020
Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Barroso-Moreno, Carlos; Rayon-Rumayor, Laura; García-Vera, Antonio Bautista – Comunicar: Media Education Research Journal, 2023
Social media can contribute to an inclusive society, but they are also asymmetrical and polarised communication spaces. This requires competent teachers to build critical digital citizenship. The aim of this article is twofold: to present web scraping and text analytics as tools that define teachers' digital competences, and to investigate which…
Descriptors: Data Collection, Social Media, Spanish, English
Mikroyannidis, Alexander; Gómez-Goiri, Aitor; Smith, Andrew; Domingue, John – Interactive Learning Environments, 2020
The main challenges commonly associated with acquiring practical network engineering skills are the requirements for access to specialised and up-to-date network equipment, as well as the high costs associated with obtaining and maintaining this equipment. The PT Anywhere initiative addresses these challenges by offering a mobile environment for…
Descriptors: Computer Science Education, Computer Networks, Data Analysis, Engineering
Annika Rigole; Sonakshi Sharma; Jessica Bergmann – UNICEF Innocenti - Global Office of Research and Foresight, 2023
Recognizing that children's learning outcomes generally remain low, in its recent 2017--2021 Education and Skills Sector Plan (ESSP) the Government of Zambia prioritized improving learning outcomes through strategies that addressed gaps in education system quality, access, equity and efficiency. What resources and contextual factors are associated…
Descriptors: School Effectiveness, Outcomes of Education, Educational Strategies, Access to Education
Lassonde, Karla A.; Kolquist, Molly; Vergin, Megan – Teaching of Psychology, 2017
Refutation-style texts have been considered a viable strategy for changing psychological misconceptions. The current study aims to integrate refutation-style texts into a classroom-based method of learning. Psychology students were administered a true/false misconception survey and then viewed several refutation-style poster presentations…
Descriptors: Psychology, Persuasive Discourse, Misconceptions, Gender Differences
Kay, Robin; Benzimra, Daniel; Li, Jia – Journal of Educational Computing Research, 2017
Previous research on distractions and the use of mobile devices (personal digital assistants, tablet personal computers, or laptops) have been conducted almost exclusively in higher education. The purpose of the current study was to examine the frequency and influence of distracting behaviors in Bring Your Own Device secondary school classrooms.…
Descriptors: Foreign Countries, Influence of Technology, Attention Control, Handheld Devices
Brunton, Bruce – Journal of Education for Business, 2015
Data from nine introductory microeconomics classes was used to test the effect of student learning style on academic performance. The Kolb Learning Style Inventory was used to assess individual student learning styles. The results indicate that student learning style has no significant effect on performance, undermining the claims of those who…
Descriptors: Introductory Courses, Economics Education, Cognitive Style, Microeconomics
Hoogerheide, Vincent; Loyens, Sofie M. M.; van Gog, Tamara – Instructional Science: An International Journal of the Learning Sciences, 2016
Online learning from video modeling examples, in which a human model demonstrates and explains how to perform a learning task, is an effective instructional method that is increasingly used nowadays. However, model characteristics such as gender tend to differ across videos, and the model-observer similarity hypothesis suggests that such…
Descriptors: Video Technology, Modeling (Psychology), Electronic Learning, Gender Differences
Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao – Interactive Learning Environments, 2016
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
Descriptors: Reading Strategies, Prediction, Models, Quasiexperimental Design
Pearson, 2018
aimswebPlus® is an assessment, data management, and reporting system that provides national and local performance and growth norms for the screening and progress monitoring of math and reading skills for all students in kindergarten through 8th grade. aimswebPlus uses two types of measures: (1) "curriculum-based measures" (CBMs)--brief,…
Descriptors: Management Systems, Data Analysis, Standards, Response to Intervention
Haynes, John E.; Miller, Judith A.; Varea, Valeria – Australian Journal of Teacher Education, 2016
This paper describes a new learning experience, which was introduced following an examination of the literature regarding preservice primary school teachers' (PPST) notions of their past experience in Physical Education (PE) (Elliott 2013). PPSTs were given the opportunity to recognise, reflect, interrogate and reframe a critical incident from…
Descriptors: Preservice Teachers, Student Teacher Attitudes, Elementary School Teachers, Primary Education
Eng, Lin Siew; Mohamed, Abdul Rashid; Ismail, Shaik Abdul Malik Mohamed – International Journal of Instruction, 2016
This study was conducted to systematically track and benchmark upper primary school students' ESL reading comprehension ability and subsequently generate data at the micro and macro levels according to individual achievement, school location, gender and ethnicity at the school, district, state and national levels. The main intention of this…
Descriptors: Reading Comprehension, Foreign Countries, School Location, Gender Differences