Published by: Society for Learning Analytics Research (SoLAR)
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 439 | 27 | 45 | 14 |
| Social Sciences and Humanities | 457 | 12 | 30 | 10 |
Learning analytics, Data science, Analytics, Mathematics education and Knowledge management are the subjects of interest in Journal of learning Analytics. While Learning analytics is the focus of the journal, it also provided insights into the studies of Data collection, Educational research, Cooperative learning and Educational technology, Learning sciences. Journal of learning Analytics explores the study of Educational research to improve our understanding of the broader topic of Pedagogy.
Educational technology and Multimedia are closely related fields of research discussed in Journal of learning Analytics. It focuses on Learning sciences as well as the interrelated topic of Synchronous learning. The research on Data science featured in it combines topics in other fields like Blended learning, Set (psychology) and Big data.
Topics in Analytics were tackled in line with various other fields like Educational data mining and Instructional design. It covers various topics on Mathematics education such as Academic achievement and Teaching method. In the journal, Experiential learning and Computer-mediated communication are investigated in conjunction with one another to address concerns in Knowledge management research.
The most cited articles focus on Learning analytics, Analytics, Data science, Educational research and Knowledge management. The journal articles blend together research topics in Learning analytics and Field (computer science). The journal publications discuss concepts in Multimodal learning analytics under Data science and how they intertwine with disciplines like Technological system.
The topics of Learning analytics, Analytics, Data science, Mathematics education and Dashboard (business) are the focal point of discussions in the journal. While work presented in it provided substantial information on Learning analytics, it also covered topics in Student learning, Cognitive psychology, Secondary education, Learning progress and Academic achievement. Analytics research featured in the journal incorporates concerns from various other topics such as Operational definition, Knowledge management and Inquiry-based learning.
The presented Knowledge management study covers related areas such as Computer-supported collaborative learning and also touches on topics like Word embedding. It explores topics in Data science which can be helpful for research in disciplines like Collaborative learning and De-identification. The research on Mathematics education tackled can also make contributions to studies in the areas of Visual analytics, Session (web analytics) and Cognitive model.
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 Journal of learning Analytics (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 Journal of learning Analytics (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, 13.64% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.32% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.79% of all publications and 42.11% 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.
An important area to explore after unpacking the research topics in the Journal of Learning Analytics is understanding the multitude of fields that contribute to this research and the careers that emerge from these fields. A combination of data science, educational research, pedagogy, and more, the field of learning analytics can lead to fulfilling and impactful careers in society. For instance, data from learning analytics is often employed by educational psychologists and counselors to help develop educational strategies and assist in students' overall growth.
One such career is that of a Marriage and Family Therapist, who may use learning analytics in their practice to understand family dynamics better and guide interventions. If you're interested in a career like this, particularly in the state of Indiana, check out our guide on the Marriage and family therapist education requirements in Indiana. Knowing the research topics in the field can be beneficial for those professionals and enhance their practice.
Overall, the study of learning analytics opens up various career opportunities across education, information technology, counseling, and more. Hence, it is crucial to appreciate not only the research but also the breadth of applications these studies offer.
Wannisa Matcha;Dragan Gasevic;Nora'ayu Ahmad Uzir;Nora'ayu Ahmad Uzir;Jelena Jovanovic
(2020)Anouschka van Leeuwen;Carolien A. N. Knoop-van Campen;Inge Molenaar;Nikol Rummel
(2021)Roberto Martinez-Maldonado;Dragan Gašević;Vanessa Echeverria;Gloria Fernandez Nieto
(2021)Leah P. Macfadyen;Lori Lockyer;Bart Rienties
(2020)Christothea Herodotou;Galina Naydenova;Avinash Boroowa;Alison Gilmour
(2020)Mona Emara;Nicole Hutchins;Shuchi Grover;Caitlin Snyder
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