A Multi-Dimensional Assessment Model and Its Application in E-learning Courses of Computer Science

Luo, Jiwen; Feng, Lu; Wang, Tao

doi:10.1145/3368308.3415388

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…In the political world using it, computer science is a science that brings technology to society to destroy social orders by reducing face-to-face interactions [223]. However, ethics and scientific principles alleviate resistances where computer science is a practical discipline that evaluates learners' practices to address alleged scientific violations such as plagiarism [224]. Computer science is a science that reduces its resistances.…”

Section: B Discussion: Accumulation and Spread -The Growth Overviewmentioning

confidence: 99%

Computer Science

Nasution¹,

Hidayat²,

Syah³

2022

International Journal on Advanced Science, Engineering and Information Technology

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Possible for science itself, conceptually, to have and will understand differently, let alone science also seen as technology, such as computer science. After all, science and technology are viewpoints diverse by either individual, community, or social. Generally, it depends on socioeconomic capabilities. So it is with computer science has become a phenomenon and fashionable, where based on the stream of documents, various issues arise in either its theory or implementation, adapting different communities, or designing curriculum holds in the education system. Generally, there are gaps between rich and poor, masculine and feminine, and basic sciences, engineering, and social sciences in accessing and using computer science. In particular, there have been various developments in hardware, software, and brain-ware from computer science in the application. There are recurring problems shortly, in the same or different places, both in developed and technologically lagging countries. Although computer science is still new, it has provided various innovations through research, which is proven by many documents. Therefore, following the growth of computer science -documents in the reputable indexed database, Scopus -there are clues for showing the trends. That is, dividing documents into three-time sessions: sloping, increasing and decreasing. That is by using a growth graphic. Then equip it with some parameters: topics and the weights from hit counts of databases. It gives the meaning as an interpretation to support the reviews. Therefore, this paper will provide a commentary related to that growth. It is for showing that despite the spread of studies, at the last time-session, the issues were always present simultaneously at the same time in accumulation. That is for describing a study title of computer science about what the world already has, going, and will understand about computer science. It is a view regarding its philosophy, basic science, applications, and technology as concepts and solutions that make computer science the primary foundation for skills and professions in the 21 st century through the education system. Therefore, other scientific fields such as informatics, computer engineering, information science, information technology, and data science, which are at the crossroads of computer science, are also scientific fields that raise different issues.

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Section: B Discussion: Accumulation and Spread -The Growth Overviewmentioning

confidence: 99%

Computer Science

Nasution¹,

Hidayat²,

Syah³

2022

International Journal on Advanced Science, Engineering and Information Technology

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“…Additionally, teachers had the flexibility to participate in evaluations according to their needs. SonarQube was employed to detect code quality and suggest higher code standards [56].…”

Section: ) Tools Sonarqubementioning

confidence: 99%

A Systematic Literature Review of Student Assessment Framework in Software Engineering Courses

Fauzan,

Siahaan,

Solekhah

et al. 2023

J. Inf. Syst. Eng. Bus. Intell.

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Background: Software engineering are courses comprising various project types, including simple assignments completed in supervised settings and more complex tasks undertaken independently by students, without the oversight of a constant teacher or lab assistant. The imperative need arises for a comprehensive assessment framework to validate the fulfillment of learning objectives and facilitate the measurement of student outcomes, particularly in computer science and software engineering. This leads to the delineation of an appropriate assessment structure and pattern. Objective: This study aimed to acquire the expertise required for assessing student performance in computer science and software engineering courses. Methods: A comprehensive literature review spanning from 2012 to October 2021 was conducted, resulting in the identification of 20 papers addressing the assessment framework in software engineering and computer science courses. Specific inclusion and exclusion criteria were meticulously applied in two rounds of assessment to identify the most pertinent studies for this investigation. Results: The results showed multiple methods for assessing software engineering and computer science courses, including the Assessment Matrix, Automatic Assessment, CDIO, Cooperative Thinking, formative and summative assessment, Game, Generative Learning Robot, NIMSAD, SECAT, Self-assessment and Peer-assessment, SonarQube Tools, WRENCH, and SEP-CyLE. Conclusion: The evaluation framework for software engineering and computer science courses required further refinement, ultimately leading to the selection of the most suitable technique, known as learning framework. Keywords: Computer science course, Software engineering course, Student assessment, Systematic literature review

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“…Some researchers excavate and analyze students' learning activities [4] and make summative evaluations of students' performance [9], [10]. There is also some corresponding work in the comprehensive evaluation of students that combines online learning process data and results data [11]. However, the evaluation of students' technical ability in the field of computer education remains unsolved.…”

Section: Introductionmentioning

confidence: 99%

A Technical Capability Evaluation Model Based Concept and Prerequisite Relation in Computer Education(SEKEEO) (S)

Jiwen¹

2021

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering

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Effectively assessing the results of users' online learning and enhancing social recognition has become a major development direction for online education platforms. For computer education, this article constructs a technical capability assessment model. This model integrates professional concepts in the field of computer science and extracts knowledge concepts from educational resources. The model first extracts candidate concepts, then uses a graph propagation algorithm to quantify candidate concepts and obtains concepts from them, and finally uses prerequisite relationships to further quantify the concepts mastered by students. The model combines the prerequisite relationship among concepts to quantify the skills that students have mastered. It can not only effectively evaluate the user's skill mastery but also lays a foundation for subsequent course recommendations and career recommendations for users. The model is tested in the real learning environment of 250 students. This model has been proved to own certain practicability and reliability by Kendall rank correlation coefficient, which is used as an evaluation index.

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A Multi-Dimensional Assessment Model and Its Application in E-learning Courses of Computer Science

Cited by 4 publications

References 16 publications

Computer Science

Computer Science

A Systematic Literature Review of Student Assessment Framework in Software Engineering Courses

A Technical Capability Evaluation Model Based Concept and Prerequisite Relation in Computer Education(SEKEEO) (S)

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