The current study compared American, Korean, and Indonesian middle and high school students' CS attitudes. Concurrently, this study also examined whether the items in the CS attitudes scale exhibit country and gender measurement biases. We gathered data on CS attitudes from middle and high school students in the US, Korea, and Indonesia. The…

Plausibility perceptions about climate change influence learner engagement, motivation, and knowledge acquisition, thereby shaping the effectiveness of climate change education. The Plausibility Perception Measure (PPM) was originally developed following the Fourth Assessment Report of the Intergovernmental Panel on Climate Change in 2007. There…

Technological advancements, particularly in artificial intelligence, significantly transform our society and work practices. Computational thinking (CT) has emerged as a crucial 21st-century skill, enabling individuals to solve problems more effectively through an automation-oriented perspective and fundamental concepts of computer science. To…

Computational thinking is a strategy of thinking to tackle complex problems. There is a paucity of conceptualization and instruments that cogitate on computational thinking disposition and attitudes. This study reacts to these constraints by establishing an instrument to test computational thinking related dispositions and attitudes. The…

Computationally intensive science (CIS)-related disciplines and careers are predicted to be among the cutting-edge fields and high-demand jobs. Such disciplines and careers demand expertise in both traditional scientific knowledge and computer science (CS)-related understanding and skills. Preparing educational systems for developing interest and…

Computer Science (CS) courses comprise both Programming and Information and Communication Technology (ICT) issues; however these two areas have substantial differences, inter alia the attitudes and beliefs of the students regarding the intended learning content. In this research, factors from the Social Cognitive Theory and Unified Theory of…

This dissertation conducted a science classroom intervention using two instructional approaches, computational modeling and paper-based pictorial modeling, in the context of food webs. A series of research papers were written on the impact of the intervention on students' attitudes and learning, and on teachers via professional development and…

To understand experiential learning, many have reiterated the need to be able to identify students' learning styles. Kolb's Learning Style Model is the most widely accepted learning style model and has received a substantial amount of empirical support. Kolb's Learning Style Inventory (LSI), although one of the most widely utilized instruments to…

Within existing ICT degrees there is a widely-held belief that content must be tailored for different "kinds" of students--often two differing student groups: a technical group requiring detailed Computer Science knowledge and a separate group requiring less technical, more strategic ICT knowledge and skills. Our institution has produced…

Internet-Scale code retrieval deals with the representation, storage, and access of relevant source code from a large amount of source code available on the Internet. Internet-Scale code retrieval systems support common emerging practices among software developers related to finding and reusing source code. In this dissertation we focus on some…

Web 2.0 and specifically Social Networking Software have become ubiquitous tools for communication over the last five years. Across many disciplines, practitioners and researchers have been exploring these technologies with the hope of tapping into their perceived potential. Not least in this endeavor is the field of Education. Educators and…

This study aims to explore the level of hopelessness and life satisfaction of teacher candidates from the view points of gender and branch variables. With this aim, the "Beck Hopelessness Scale and Life Satisfaction Scale" has been applied to a total of 278 teacher candidates, of which 133 were females and 145 were males. According to…

The purpose of this exploratory study was to assess the relative importance of a number of variables in predicting students' interest in math and/or computer science. Classification and regression trees (CART) were employed in the analysis of survey data collected from 276 college students enrolled in two U.S. and Greek universities. The results…

We studied the problem of constraint-based pattern mining for three different data formats, item-set, sequence and graph, and focused on mining patterns of large sizes. Colossal patterns in each data formats are studied to discover pruning properties that are useful for direct mining of these patterns. For item-set data, we observed robustness of…

Formal diplomas and certificates have been accepted as proof that students may receive exemption for parts of their educational programme. Nowadays, though, it is socially desirable that informal and non-formal learning experiences are also recognised. Assessment of prior learning (APL) addresses this issue. In APL, the candidate's knowledge,…