Evidence map›Paper›PMID 34539152›Full record

ArticleEducational technology research and development : ETR & D2020

Exploring Indicators of Engagement in Online Learning as Applied to Adolescent Health Prevention: A Pilot Study of REAL media.

Anne E Ray, Kathryn Greene, Teja Pristavec, Michael L Hecht, Michelle A Miller-Day, Smita C Banerjee

Abstract read
In one paragraph

Article in Educational technology research and development : ETR & D, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anne E RayUniversity of Kentucky.
Kathryn GreeneRutgers University.
Teja PristavecRutgers University.
Michael L HechtREAL Prevention LLC.
Michelle A Miller-DayREAL Prevention LLC.
Smita C BanerjeeMemorial Sloan Kettering Cancer Center.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Interactive technology for media literacy drug prevention in community groupsR42DA039595 · NIDA · REAL PREVENTION, LLC · PI GREENE, KATHRYN L, HECHT, MICHAEL · 2017 to 2018
$1.5M
Active Involvement in Creating High School Substance Use Prevention MessagesR21DA027146 · NIDA · RUTGERS, THE STATE UNIV OF N.J. · PI GREENE, KATHRYN L · 2010 to 2011
$450k
Interactive technology for media literacy drug prevention in community groupsR41DA039595 · NIDA · REAL PREVENTION, LLC · PI GREENE, KATHRYN L, HECHT, MICHAEL · 2015 to 2015
$225k
NCI NIH HHS P30 CA008748NIDA NIH HHS R21 DA027146NIDA NIH HHS R41 DA039595NIDA NIH HHS R42 DA039595
6 · The paper itself

Abstract

Engagement is central to the effectiveness of online health messages and the related educational programs that aim to deliver these messages to the intended audience (Li, Won, Yang et al. 2019: Lin, Hung, Kinshuk et al. 2019). Drawing from health communication and social learning theories, the Theory of Active Involvement (TAI) (Greene, 2013) posits that an online prevention program's impact depends on how engaged participants are. In practice, measuring engagement in this context has relied primarily on self-report measures (e.g., Hamutoglu, Gemikonakli, Duman et al. 2019). However, the emergence and growth of online learning platforms to deliver health-specific information offers other options for assessing engagement. This includes program analytics that capture interaction with content and facilitate examination of patterns via multiple indicators such as responses to interactive questions and time spent in the program (Herodotou, Rienties, Boroowa, et al. 2019; Li, Wong, Yang et al. 2019; van Leeuwen, 2019). However, little is known about the relationships between these different indicators of engagement as it applies to health curricula. This study uses self-report, observational, and program analytic data collected on a small (

Indexed as

complexitye-learningengagementhealth messagesmedia literacysubstance use

Identifiers

PMID34539152
PMCPMC8443246

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.