| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Social Sciences and Humanities | 163 | 18 | 36 | 17 |
| Computer Science | 443 | 9 | 19 | 14 |
The foci of the journal are Mathematics education, Language acquisition, Teaching method, Pedagogy and Computer-Assisted Instruction. Computer Assisted Language Learning connects research in Mathematics education with the related topic of Perception. While Language acquisition is the focus of it, it also provided insights into the studies of Context (language use), Language education, Natural language processing, Multimedia and Artificial intelligence.
The Natural language processing study featured in Computer Assisted Language Learning draws connections with the study of Grammar. Computer Assisted Language Learning connects the study in Multimedia with the closely related area of The Internet. The featured Teaching method studies mainly concentrate on Vocabulary but also cover areas of interest in Reading comprehension.
The studies in Pedagogy featured incorporate elements of Computer-mediated communication, Telecollaboration and Qualitative research. Second language instruction and Vocabulary development are some topics wherein Computer-Assisted Instruction research discussed in it have an impact. In addition to Educational technology research, the journal aims to explore topics under Experiential learning and Active learning.
The journal publications primarily tackle Pedagogy, Mathematics education, Language acquisition, Teaching method and Computer-Assisted Instruction. The works on Pedagogy tackled in the journal publications bring together disciplines like Class (computer programming) and Computer-mediated communication. While Mathematics education is the focus of the journal publications, it also provides insights into the studies of Context (language use) and Perception.
The discussions in Computer Assisted Language Learning mainly cover the fields of Mathematics education, Language acquisition, Medical education, Multimedia and Foreign language. Aside from investigating topics in Blended learning, Collaborative writing and English as a foreign language under Mathematics education, Computer Assisted Language Learning also explores concepts in Game based. The Mobile-assisted language learning studies presented in it fall under the field of Language acquisition, but it also has connections to other fields such as Scopus.
Computer Assisted Language Learning aims to investigate interdisciplinary topics such as Medical education and Intervention studies. The study on Multimedia presented in it intersects with subjects under the field of Second language. The study of Foreign language, which falls within the realm of Pedagogy, was the main focus of the presentations.
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 Assisted Language Learning (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 Assisted Language Learning (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, 8.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.65% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.04% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.22% of all publications and 54.08% 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.
After immersing yourself in the exhaustive research fields of Pedagogy, Mathematics Education, Language Acquisition, Teaching Methods, and Computer-Assisted Instruction, you might be considering how you can apply this knowledge and experience into a fulfilling career. One such prospective career path is becoming a licensed substance abuse counselor. Substance abuse counselors have a critical role in society as they provide vital support to individuals battling addiction and help them overcome their challenges. This profession requires a great understanding of the psychological and social facets of addiction, paired with effective communication and interpersonal skills. While an active research background may not directly correlate to this profession, many of the soft skills developed in academia, such as critical thinking, problem-solving, and a deep understanding of human behavior, may prove invaluable in this role. Embarking on this career journey involves earning relevant qualifications and acquiring necessary certifications. The road to becoming a substance abuse counselor isn't one-size-fits-all, and it varies by specialty and geographic location. For instance, if you're situated in Alabama, below is a handy resource detailing how to transition into this promising line of work: How to become a licensed substance abuse counselor in Alabama. The guide provides a step by step route spanning education, certification, and licensing, putting you on the path to make a significant difference in people's lives.
Hojjat Dehghanzadeh;Hashem Fardanesh;Javad Hatami;Ebrahim Talaee
(2021)Di Zou;Yan Huang;Haoran Xie
(2021)Rahul R. Divekar;Jaimie Drozdal;Samuel Chabot;Yalun Zhou
(2021)Ming Puu Chen;Li Chun Wang;Di Zou;Shu Yuan Lin
(2020)Jun Jie Tseng;Ching Sing Chai;Lynde Tan;Moonyoung Park
(2020)Barry Bai;Jing Wang;Ching-Sing Chai
(2021)Di Zou;Shuqiong Luo;Haoran Xie;Gwo-Jen Hwang
(2020)For those interested in advancing their Computer Science education, exploring accelerated and flexible options is essential. Many students consider pursuing an online PhD to deepen their expertise while balancing work and life commitments. These programs often combine cutting-edge research with convenience.
If a quicker route to advanced knowledge is preferred, 1 year masters programs offer intensive, focused study without the time commitment of traditional graduate degrees. This fast-track approach helps students enter the workforce with a competitive edge.
For those eager to jumpstart their careers, finding the fastest degree to get with strong earning potential is a smart strategy. Many technical certificates and associate degrees in computing fields can lead to well-paying roles in a relatively short time.
Ultimately, choosing from the best majors in technology and computer science guides students toward thriving career pathways. Understanding these options helps tailor education to individual goals and industry demands.
