This study investigates the development of algorithmic thinking as a part of computational thinking skills and self-efficacy of primary school pupils using programmable robots in different instruction variants. Computational thinking is defined in the context of twenty-first century skills and describes processes involved in (re)formulating a problem in a way that a computer can process it. Programming robots offers specific affordances as it can be used to develop programs following a Sense-Reason-Act (SRA) cycle. The literature provides evidence that programming robots has the potential to enhance algorithmic thinking as a component of computational thinking. Specifically there are indications that pupils who use SRA-programming learn algorithmic skills better and achieve a higher level of selfefficacy in an open, scaffold learning environment than through direct instruction. In order to determine the influence of the instruction variant used, an experimental research design was made in which pupils solved algorithm-based mathematical problems (grid diagrams) in a preliminary measurement and their self-efficacy determined via a questionnaire. As an intervention, pupils learn to solve programming issues in pairs using "Lego NXT" robots and "Mindstorms" software in two instruction variants. The post-measurement consists of a Lego challenge, solving mathematical problems (grid diagrams), and a repeated selfefficacy questionnaire. This research shows an increase of our measures on algorithmic thinking dependent on the amount of SRA usage (though not significant). Programming using the SRA-cycle can be considered as the cause of the measured effect. The instruction variant used during the robotic intervention seems to play only a marginal role.
This study investigates what pupils aged 10-12 can learn from working with robots, assuming that understanding robotics is a sign of technological literacy. We conducted cognitive and conceptual analysis to develop a frame of reference for determining pupils' understanding of robotics. Four perspectives were distinguished with increasing sophistication; ''psychological'', ''technological'', ''function'', and ''controlled system''. Using LegoÒ MindstormsÒ NXT robots, as an example of a Direct Manipulation Environment, we developed and conducted a lesson plan to investigate pupils' reasoning patterns. There is ample evidence that pupils have little difficulty in understanding that robots are man-made technological and functional artifacts. Pupils' understanding of the controlled system concept, more specifically the complex sense-reason-act loop that is characteristic of robotics, can be fostered by means of problem solving tasks. The results are discussed with respect to pupils' developing technological literacy and the possibilities for teaching and learning in primary education.
This paper examines how the learning environment in primary education can be enhanced by stimulating the use of innovative ICT applications. In particular, this discussion focuses on mind tools as a means of leveraging ICT for the development of cognitive skills. The stimulating effect of mind tools on the thinking skills and thinking attitudes of students is examined. The various types of mind tools and a number of specific examples are closely examined. We consider how mind tools can contribute to the establishment of an ICT-rich learning environment within the domain of technology education in primary schools. We illustrate two specific applications of such mind tools and discuss how these contribute to the development of thinking skills. Keywords
Improving learning and thinking in school has been an objective of the educational community for a long time. Computer applications and especially mind tools can be helpful in reaching this objective. Control software that operates a connected physical micro world and is used as a kind of mind tool, delivers possibilities to develop and support learning and thinking of pupils in school. We studied pupils' thinking behaviour (thinking skills and habits of mind) by analysing the progressive discourse of pupils who solved problems using Techno-Logica control software in a hybrid micro world. We developed a first version of an observation instrument and tested its usefulness in exploring thinking behaviour. In this paper, we present the first results and prospective.Keywords: control software; habits of mind; hybrid micro worlds; ICT; micro worlds; mind tools; Lego Mindstorms; technologica; techno-logica, technology; thinking skills.
Visual programming environments are popular instruments in teaching Computational Thinking (CT) in schools today. Applying Sense-Reason-Act (SRA) programming can influence the development of computational thinking when forcing pupils to anticipate the unforeseen in their computer programs. SRA-programming originates from the programming of tangible robots, but can also be of equal value in visual programming with on-screen output. The underlying rationale is that programming in a visual programming environment using SRA leads to more understanding of the computational concepts addressed, resulting in a higher level of computational skill compared to visual programming without the application of SRA. Furthermore, it has been hypothesised that if pupils in a visual programming environment can anticipate unforeseen events and solve programming tasks by applying SRA, they will be better able to solve complex computational thinking tasks. To establish if characteristic differences in the development of computational thinking can be measured when SRA-programming is applied in a visual programming environment with an on-screen output, we assessed the applicability of SRA-programming with visual output as the main component of the execution of developed code. This research uses a pre-test post-test design that reveals significant differences in the development of computational thinking in two treatment conditions. To assess CT, the Computational Thinking Test (CTt) was used. Results show that when using SRA-programming in a visual programming environment it leads to an increased understanding of complex computational concepts, which results in a significant increase in the development of computational thinking.
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