Assessing computational thinking abilities among Singapore secondary students: a Rasch model measurement analysis

Author(s):  
Shiau-Wei Chan ◽  
Chee-Kit Looi ◽  
Bambang Sumintono
2015 ◽  
Vol 5 (5) ◽  
pp. 413-417
Author(s):  
Shereen Noranee ◽  
Noormala Amir Ishak ◽  
Raja Munirah Raja Mustapha ◽  
Rozilah Abdul Aziz ◽  
Rohana Mat Som

1995 ◽  
Vol 18 (1) ◽  
pp. 52-68
Author(s):  
Jack L. Burston ◽  
Jeannette Harfouch ◽  
Monique Monville-Burston

This paper investigates the empirical validity of the Monash-Melbourne computer adaptive test for French (French CAT), a single parameter Rasch model measurement of underlying morphosyntactic proficiency. It focuses, in particular, on the accuracy of the French CAT as a tool for streaming incoming university students into three levels of a first year (post high school) French course. Psychometric ability estimations of the Rasch model are compared against instructors’ assessment of students’ overall linguistic competence. A comparison is also made between the theoretical confidence interval of predicted abilities and the actual distribution of testee scores. Finally, individual student French CAT scores are correlated with end-of-semester language examination results. In all instances, Item Response Theory, upon which the French CAT is based, is shown to provide a highly valid means of determining linguistic ability for the purposes of course placement. Moreover, given the significant correlation between initial streaming and end-of-semester results, the French CAT is also demonstrated to be a good predictor of short-term achievement.


Author(s):  
Siti Khadijah Najid ◽  
Nuraini Khatimin ◽  
Khairul Anwar Mastor ◽  
Azami Zaharim ◽  
Khamisah Osman

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2128
Author(s):  
Ľubomíra Valovičová ◽  
Ján Ondruška ◽  
Ľubomír Zelenický ◽  
Vlastimil Chytrý ◽  
Janka Medová

Computational thinking is a highly appreciated skill by mathematicians. It was forecasted that, in the next few years, half of the jobs in science, mathematics, technology and engineering (abbreviated as STEM, including arts as STEAM) will use some kind of computation. It is therefore necessary to enhance the learning of mathematics by collaborative problem-solving activities focused on both learning mathematics and developing computational thinking. The problems in science offer a reasonable context in which to investigate the common overarching concepts (e.g., measuring the length). An interdisciplinary STEAM collaborative problem-solving activity was designed and piloted with 27 lower secondary students aged 13.07 ± 1.21 years. Different levels of willingness to use the technology were observed and the factors influencing it were identified. We found that strong background knowledge implies high demands when controlling the used device. On the other hand, when a nice and user-friendly application was used, students did not need to perceive any control over it. After the intervention, the students’ views on the tablet changed and they reported more STEAM-related functions of the device.


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