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Nan Wu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Higher education is becoming increasingly competitive and all educational institutions are concentrating on improving quality and changing traditional higher education teaching methods. New-type classroom instruction has embraced a unique advancement opportunity with the arrival of the fifth generation (5G) era. It is critical to develop a…
Descriptors: Instructional Effectiveness, Internet, Computer Literacy, Artificial Intelligence
Zexuan Pan; Maria Cutumisu – AERA Online Paper Repository, 2023
Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Prediction
Tokmak, Ahmet; Yilmaz, Ali; Seker, Mustafa – Education Quarterly Reviews, 2022
This study aims to investigate the effect of using the Harezmi education model, which has been widely used in Turkey in recent years, in social studies teaching regarding computational thinking skills. Interviews were held with students and teachers seven months after the applications to determine the conceptual knowledge levels of students for…
Descriptors: Thinking Skills, Teaching Methods, Teacher Attitudes, Student Attitudes

Anderson, Ronald E. – Journal of Educational Computing Research, 1987
Results from the 1979 Minnesota Computer Literacy Assessment show that eighth- and eleventh-grade females perform better than males in some specific areas of programing, i.e., those that involve problem analysis and algorithmic application where the problems are expressed verbally rather than mathematically. (Author/LRW)
Descriptors: Algorithms, Computer Literacy, Educational Assessment, Females