ArticleEvaluation and program planning2021
Theory of change models deepen online learning evaluation.
Article in Evaluation and program planning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Copywriters' preference evaluation on online copywriting course attributes during the COVID-19 pandemic.PloS one · 2024Article
- A national professional development program fills mentoring gaps for postdoctoral researchers.PloS one · 2023Article
- Article
- Article
- A perspective of massive open online courses (MOOCs) and public health.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Massive Open Online Courses (MOOCs) have gained traction as resources for professional development. This article presents the method that we used to evaluate a professional development MOOC for postdoctoral trainees that was created by a university consortium in the US. Most approaches to evaluating MOOCs focus on analysis of participation, outcomes from course assignments, self-reported learning outcomes, course completion and user pathways through the online content or clickstream data. Few published evaluations describe in detail how learning happens within online courses and the anticipated medium and longer term cognitive and behavioral outcomes on participants. This work aims to guide those who are designing, implementing and evaluating MOOCs through applying theories of change to focus evaluation on the process of learning. This approach can be used as a complement to traditional approaches for evaluating MOOCs. We described how we worked with the MOOC team building the content to develop a theory of change for each module (or lesson) within the MOOC and used the theory of change to guide evaluation of short and medium term participant cognitive, affective and attitudinal, and behavioral outcomes. Finally, we share lessons learned and suggestions for implementing theories of change in both the design and evaluation phases of MOOC development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.