Stavros A. Nikou

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Considering the declining enrolling in computing fields and the increasing demand in STEM disciplines, innovative methods should be employed to attract students in computing disciplines. MIT Scratch and App Inventor for Android visual programming environments are two such approaches. This is a comparative study to investigate any differences in the(More)
Mobile-based assessment offers a promising (complementary to paper-based and computer-based) assessment delivery mode. However, its successful implementation depends on users’ acceptance. The present study is the first towards the investigation of the factors that influence the acceptance of mobile-based assessment. It combines two theoretical frameworks:(More)
The present study reports the experiences from the Hour of Code implementation in the context of two introductory Informatics courses, one in a high school level and one in a first-year University level. It explores learning motivation among 47 high school students and 51 first-year University level students, during their participation in the Hour of Code(More)
Assessment can be delivered through paper and pencil (Paper Based Testing-PBT), through computers (Computer Based Testing-CBT) or mobile devices (Mobile Based Testing-MBT). Conclusions from previous research are not consistent regarding the performance of test taker related to the test delivery mode. Different test delivery modes may lead to differentiated(More)
Mobile-based Assessment (MBA) is a relatively new delivery mode of assessment. MBA not only offers an alternative to web-based tests and quizzes that can be answered anytime and anywhere but it also introduces a new assessment paradigm offering adaptive, personalized, context-aware and ubiquitous assessment activities embedded in learning flow. However, for(More)
In order to successfully deliver Mobile-Based Assessments in any educational setting, it is of great importance to investigate the factors that influence its adoption from the students. The present study aims to explain and predict the Technology Acceptance Model constructs “Attitudes towards Using” (ATU) and “Intention to Use” (ITU) mobile-based assessment(More)