Uncovering factors predicting the effectiveness of MOOC-based academic leadership training

Dinh, Ngoc Bich Khuyen; Zhu, Chang; Diep, Anh Nguyet; Qi, Zhengwen

doi:10.1007/s40692-022-00241-z

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Uncovering factors predicting the effectiveness of MOOC-based academic leadership training

Dinh, Ngoc Bich Khuyen; Zhu, Chang; Diep, Anh Nguyet et al.

2022 • In Journal of Computers in Education

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10.1007/s40692-022-00241-z

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Keywords :

Computer Science Applications; Education

Abstract :

[en] The recent trend of utilizing Massive Open Online Courses (MOOCs) in higher education and the drastic changes caused by COVID-19 exacerbated the adoption of online professional development (PD) addressed for academic leaders. Unfortunately, there is a lack of empirical studies investigating perceived effectiveness of academic leadership development MOOCs and its predicting factors. Based on the statistical findings derived from a survey for learners in a series of MOOC-based leadership development programs, the current study aimed at identifying contributors to the effectiveness of online leadership training in higher education contexts. The participants (N = 185) were academic leaders and staff who participated in the MOOC-based leadership development programs. Hierarchical regression analyses were employed to answer the research questions. The results showed that course content was the strongest predictor of perceived learning effectiveness, followed by interaction quality. The four scales of motivation have different effects on perceived learning outcomes. The study extended previous research by demonstrating the potentials of using MOOCs as an online platform for leadership development. In addition, the study filled in the gaps in the literature to measure predictors that associate perceived learning outcomes of MOOC-based leadership development programs. Implications for both practice and theory were implied.

Disciplines :

Education & instruction

Author, co-author :

Dinh, Ngoc Bich Khuyen

Zhu, Chang

Diep, Anh Nguyet ; Université de Liège - ULiège > Santé publique : de la Biostatistique à la Promotion de la Santé

Qi, Zhengwen

Language :

English

Title :

Uncovering factors predicting the effectiveness of MOOC-based academic leadership training

Publication date :

09 September 2022

Journal title :

Journal of Computers in Education

ISSN :

2197-9987

eISSN :

2197-9995

Publisher :

Springer Science and Business Media LLC

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://link.springer.com/content/pdf/10.1007/s40692-022-00241-z.pdf

Available on ORBi :

since 09 September 2022

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