Leveraging MOOCs in a hybrid learning bootcamp model for training technicians and engineers in STEM manufacturing

Paper Info

Title
Leveraging MOOCs in a hybrid learning bootcamp model for training technicians and engineers in STEM manufacturing

Abstract
The innovative breakthroughs of advanced manufacturing industries in materials processing and systems characterization are upgrading the incumbent engineer and technician skillset a faster rate than ever before. This is creating an expanding gap between the emerging STEM skills needed in advanced manufacturing industry and extant 4- or 2-year college training for engineers and technicians, respectively. Novel teaching paradigms using MOOCs and hybrid Learning formats have the potential to address such a gap. In this paper, we describe a “three-legged stool” hybrid learning methodology and present early assessment data and analysis of this methodology in an integrated photonics intensive bootcamp leveraging MOOC modules and Virtual Reality simulations combined with hands-on tool training. Our proposed hybrid learning methodology strives to enable faster procedural and synthesis learning that may facilitate just-in-time learning strategies that prevail upon communities of practitioners to help co-instruct in highly atomized modular training commensurate with both 2-year college advanced manufacturing tool infrastructure limitations and perennial upskilling strategy for incumbent industry workers. Conclusions drawn from focus group sessions with learners and post-bootcamp survey results are presented.

Year	DOI	Venue
2022	10.1109/LWMOOCS53067.2022.9928025	2022 IEEE Learning with MOOCS (LWMOOCS)
Keywords	DocType	ISBN
hybrid bootcamp,manufacturing training,vocational training,VR training	Conference	978-1-6654-2487-5
Citations	PageRank	References
0	0.34	1
Authors
24

Authors (24 rows)

Cited by (0 rows)

References (1 rows)

Name	Order	Citations	PageRank
Samuel Serna	1	0	0.34
Drew Weninger	2	0	0.34
Luigi Ranno	3	0	0.34
Kenan Cicek	4	0	0.34
Peyton Brown	5	0	0.34
Samuel Bechtold	6	0	0.34
Juan Jose Arango Uribe	7	0	0.34
Julian Andres Laverde Preciado	8	0	0.34
Sajan Saini	9	0	0.34
Saif Rayyan	10	0	0.34
Pablo Bedoya Rios	11	0	0.34
Camilo Hurtado Ballesteros	12	0	0.34
Glenda Stump	13	0	0.34
George Westerman	14	0	0.34
Erik Verlage	15	0	0.34
Trevor Morrisey	16	0	0.34
Christian Gabbianelli	17	0	0.34
Yue Yuan	18	0	0.34
Jeffrey W. Bertrand	19	64	9.70
Kapil Chalil Madathil	20	0	0.34
Kazumi Wada	21	0	0.34
Juejun Hu	22	0	1.69
L.C. Kimerling	23	0	0.34
Anu Agarwal	24	0	0.34