| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Social Sciences and Humanities | 459 | 12 | 23 | 10 |
| Computer Science | 740 | 9 | 14 | 7 |
The topics of Mathematics education, Software engineering, Teaching method, Pedagogy and Curriculum are the focal point of discussions in the journal. The journal holds forums on Mathematics education that merges themes from other disciplines such as Context (language use), Multimedia and Process (engineering). Issues in Software engineering were discussed, taking into consideration concepts from other disciplines like Programming language, Software development, Software construction, Software and Social software engineering.
The Software development works, particularly on Personal software process are tackled in it. It explores topics in Social software engineering which can be helpful for research in disciplines like Software peer review and Software Engineering Process Group. Research on Teaching method addressed in Computer Science Education frequently intersections with the field of Instructional design.
The published papers cover a variety of subjects, including Mathematics education, Teaching method, Pedagogy, Multimedia and Software engineering. The most cited papers explore topics in Mathematics education which can be helpful for research in disciplines like Semi-structured interview and Process (engineering). Information technology, Engineering ethics, Socialization, Cognitive style and Problem-based learning are some topics wherein Teaching method research discussed in the most cited publications has an impact.
The journal tackles a plethora of topics, such as Mathematics education, Context (language use), Computational thinking, Secondary education and Thinking skills. Order (business) and Curriculum are some topics wherein Mathematics education research discussed in it have an impact. The research on Context (language use) featured in Computer Science Education combines topics in other fields like Science education, Affordance, Cognitive science, Algorithmic thinking and Formative assessment.
Computational thinking research featured in Computer Science Education incorporates concerns from various other topics such as Literacy, Inclusion (education), Management science and Primary education. While work presented in the journal provided substantial information on Secondary education, it also covered topics in Algorithm, Secondary level and Content knowledge. Computer Science Education addresses concerns in Educational research which are intertwined with other disciplines, such as Computer programming and Teaching method.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Computer Science Education (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Computer Science Education (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 9.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 43.33% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Job prospects for researchers in Computer Science Education are quite promising. Researchers can contribute to various institutions, including universities, private corporations, or public sector research organizations. There are numerous opportunities for teaching, research, and applied work in various segments of the industry. For those aiming to become a licensed professional in this field, understanding the specific requirements is crucial.
To practice as a licensed professional counselor (LPC), certain requirements, such as educational qualifications, practical experience, and licensing exams, must be met. The need for licensed professionals in this field is continuously growing, making it a great career choice. The licensing requirements may vary from state to state, and potential LPCs should acquaint themselves with specific guidelines and procedures.
To become an LPC in New Hampshire, for instance, there are a set of specific criteria to be met. For detailed information about the requirements, it would be beneficial to visit LPC requirements in New Hampshire where complete and up-to-date information is provided.
New Hampshire's requirements could serve as an example for aspiring LPCs as they search for clear and descriptive resources, outlining the path to becoming a licensed professional counselor in Computer Science Education and other related fields.
Wendy Huang;Chee-Kit Looi
(2021)Laura E. de Ruiter;Marina U. Bers
(2021)Qiang Hao;David H. Smith;Lu Ding;Amy Ko
(2021)Zhen Xu;Albert D. Ritzhaupt;Karthikeyan Umapathy;Yang Ning
(2021)Deborah A. Fields;Debora Lui;Yasmin B. Kafai;Gayithri Jayathirtha
(2021)Yenda Prado;Sharin Jacob;Mark Warschauer
(2021)Zarifa Zakaria;Jessica Vandenberg;Jennifer Tsan;Danielle Cadieux Boulden
(2021)For students interested in Computer Science, exploring related online degrees can open doors to exciting career opportunities. Many affordable options exist for those looking to specialize or broaden their expertise without the need for on-campus attendance. For instance, pursuing engineering degrees online can provide a strong foundation in problem-solving and technical skills applicable across industries.
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