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Mendeley readers
Attention Score in Context
| Title |
Development and initial validation of an online engagement metric using virtual patients
|
|---|---|
| Published in |
BMC Medical Education, September 2018
|
| DOI | 10.1186/s12909-018-1322-z |
| Pubmed ID | |
| Authors |
Norman B. Berman, Anthony R. Artino |
| Abstract |
Considerable evidence in the learning sciences demonstrates the importance of engagement in online learning environments. The purpose of this work was to demonstrate feasibility and to develop and collect initial validity evidence for a computer-generated dynamic engagement score based on student interactions in an online learning environment, in this case virtual patients used for clinical education. The study involved third-year medical students using virtual patient cases as a standard component of their educational program at more than 125 accredited US and Canadian medical schools. The engagement metric algorithm included four equally weighted components of student interactions with the virtual patient. We developed a self-report measure of motivational, emotional, and cognitive engagement and conducted confirmatory factor analysis to assess the validity of the survey responses. We gathered additional validity evidence through educator reviews, factor analysis of the metric, and correlations between student use of the engagement metric and self-report measures of learner engagement. Confirmatory factor analysis substantiated the hypothesized four-factor structure of the survey scales. Educator reviews demonstrated a high level of agreement with content and scoring cut-points (mean Pearson correlation 0.98; mean intra-class correlation 0.98). Confirmatory factor analysis yielded an acceptable fit to a one-factor model of the engagement score components. Correlations of the engagement score with self-report measures were statistically significant and in the predicted directions. We present initial validity evidence for a dynamic online engagement metric based on student interactions in a virtual patient case. We discuss potential uses of such an engagement metric including better understanding of student interactions with online learning, improving engagement through instructional design and interpretation of learning analytics output. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Spain | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Other | 5 | 7% |
| Student > Master | 5 | 7% |
| Professor > Associate Professor | 4 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 12 | 18% |
| Unknown | 27 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 12% |
| Social Sciences | 7 | 10% |
| Medicine and Dentistry | 6 | 9% |
| Nursing and Health Professions | 4 | 6% |
| Unspecified | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 33 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 September 2018.
All research outputs
#15,018,906
of 23,103,436 outputs
Outputs from BMC Medical Education
#2,183
of 3,387 outputs
Outputs of similar age
#203,778
of 341,518 outputs
Outputs of similar age from BMC Medical Education
#45
of 65 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,518 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.