Thinging for Computational Thinking

Al-Fedaghi, Sabah; Alkhaldi, Ali Abdullah

doi:10.14569/ijacsa.2019.0100277

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…This section will briefly review the TM model to establish TM as a foundation to study behavior. A more elaborate discussion of TM's philosophical foundation can be found in [14][15][16][17][18][19][20].…”

Section: Thinging Machinementioning

confidence: 99%

Three Levels of Modeling: Static (Structure/Trajectories of Flow), Dynamic (Events) and Behavioral (Chronology of Events)

Al-Fedaghi¹

2020

IJACSA

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Constructing a conceptual model as an abstract representation of a portion of the real world involves capturing the (1) static (things/objects and trajectories of flow), (2) the dynamic (event identification), and (3) the behavior (e.g., acceptable chronology of events) of the modeled system. This paper focuses on examining the behavior notion in modeling and current works in the "behavior space" to illustrate that the problem of behavior and its related concepts in modeling lacks a clear-cut systematic basis. The purpose is to advance the understanding of system behavior to avoid ambiguity-related problems in system specification. It is proposed to base the notion of behavior on a new conceptual model, called the thinging machine, which is a tool for modeling that establishes three levels of representation: (1) a static structural description that is constructed upon the flow of things in five generic operations (activities; i.e., create, process, release, transfer and receive);(2) a dynamic representation that identifies hierarchies of events based on five generic events; and (3) a chronology of events. This is shown through examples that support the thinging machine as a new methodology suitable for all three levels of specification.

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Section: Thinging Machinementioning

confidence: 99%

Three Levels of Modeling: Static (Structure/Trajectories of Flow), Dynamic (Events) and Behavioral (Chronology of Events)

Al-Fedaghi¹

2020

IJACSA

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“…This paper adopts a conceptual model, called a thinging (abstract) machine (TM) that views all components of the domain in terms of a single notion: flow machine [4][5][6][7][8][9][10][11][12]. As our objective is to discuss the TM in terms of existential ontology, the TM is reviewed, and a full sample of the TM model is applied to a real system of ordering items.…”

Section: Introductionmentioning

confidence: 99%

Existential Ontology and Thinging Modeling in Software Engineering

Al-Fedaghi

2019

SSRN Journal

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This study is a sequel to a previous study entitled "Thinging for Software Engineers", which showed that the notion of thing, in contrast to objectification, has some beneficial orientations in modeling. The incorporation of thinging in conceptual modeling is required to explain the roots of Heidegger's conception of things. This requires an understanding of Heidegger's existential ontology to identify any relationship to thinging. This paper is an exploration of existential ontology in search of further clarification of the concept of thinging. We start by reviewing the thinging machine (TM) introduced in "Thinging for Software Engineers" and provide a full example of its utilization in modeling an "ordering system". We follow this with a discussion of the being (existence) of things in the word and Heidegger's interpretation of time as a possible horizon for any understanding whatsoever of being. We emphasize that the TM is not related directly to the Heideggerian notion of existence and its elaborate analysis of Dasein. However, there may be some benefit to studying non-Dasein things to provide a philosophical foundation to thinging, as utilized in TM modeling. Interestingly, the TM can be utilized to model existential ontology, thus increasing the level of understanding about them.

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An Evaluation on Pre-Service Teacher’s Information and Communications Technology Competency and Computational Thinking Skills in Terms of Different Variables

Akgün

2020

Trakya Üniversitesi Sosyal Bilimler Dergisi

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system and by taking its place among 21 st century skills, took its place amidst competencies that both teachers and students should have. Especially teachers, who are the basic factor of the education system, should have these skills because these are very important in terms of the efficiency and effectiveness of the education. Based on this statement, it was tried to determine information and communications technology competency and computational thinking skills of pre-service teachers, who is going to build future. Likewise, in this study, it has been tried to determine whether there is a significant relationship between information and communication technologies competencies and computational thinking skills of pre-service teachers. It was also investigated whether there is a significant difference in pre-service teachers' ICT competencies and CT skills in terms of variables such as gender, department, computer hardware knowledge and computer software knowledge. A sample population of 365 pre-service teachers has been determined via random sampling method among students in Trakya University Faculty of Education. Data were collected using the "Preservice Teacher's Information and Communication Technology Competencies Scale" and "Computational Thinking Scale". According to the findings of the research, it was discovered that the group of pre-service teachers had a "sufficient" degree of Information and communication Technologies competencies, while their computational thinking skill were "mid-level". However, it was also established that a weak level, statistically meaningful positive correlation exists between pre-service teachers' ICT competencies and CT skills. Also in the research, while there was no significant relationship between the ICT competencies of the pre-service teachers and the gender variable, a significant relationship between the ICT competencies of the pre-service teachers and variables of department, computer hardware knowledge, computer software knowledge variables. The study also revealed that there was a significant relationship between the variables of CT skills and variables of gender, department, computer hardware knowledge, and computer software knowledge.

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Thinging for Computational Thinking

Cited by 4 publications

References 13 publications

Three Levels of Modeling: Static (Structure/Trajectories of Flow), Dynamic (Events) and Behavioral (Chronology of Events)

Three Levels of Modeling: Static (Structure/Trajectories of Flow), Dynamic (Events) and Behavioral (Chronology of Events)

Existential Ontology and Thinging Modeling in Software Engineering

An Evaluation on Pre-Service Teacher’s Information and Communications Technology Competency and Computational Thinking Skills in Terms of Different Variables

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