dc.contributor.author | Murai, Yumiko | |
dc.contributor.author | Kim, Yoon Jeon | |
dc.contributor.author | Martin, Emily | |
dc.contributor.author | Kirschmann, Peter | |
dc.contributor.author | Rosenheck, Louisa D | |
dc.contributor.author | Reich, Justin | |
dc.date.accessioned | 2021-03-22T22:59:11Z | |
dc.date.available | 2021-03-22T22:59:11Z | |
dc.date.issued | 2019-03 | |
dc.identifier.isbn | 9781450362443 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/130234 | |
dc.description.abstract | Although maker-centered learning in schools has grown rapidly in recent years, the existing assessment approaches often do not meet the needs in assessing the multifaceted learning and development that occur in making processes. This short research paper reports on the design principles of embedded assessment and shares insights gained from working with middle school teachers developing, testing, and examining an embedded assessment toolkit consisting of seven assessment tools and activities. | en_US |
dc.description.sponsorship | National Science Foundation (Grant 1723450) | en_US |
dc.language.iso | en | |
dc.publisher | Association for Computing Machinery (ACM) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1145/3311890.3311922 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | Prof. Reich | en_US |
dc.title | Embedding Assessment in School-Based Making: Preliminary Exploration of Principles for Embedded Assessment in Maker Learning | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Murai, Yumiko et al. "Embedding Assessment in School-Based Making: Preliminary Exploration of Principles for Embedded Assessment in Maker Learning." FL2019: Proceedings of FabLearn 2019, March 2019, New York, New York, Association for Computing Machinery, March 2019. © 2019 The Authors | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Office of Digital Learning | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing | |
dc.relation.journal | FL2019: Proceedings of FabLearn 2019 | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2021-03-22T14:32:48Z | |
dspace.orderedauthors | Murai, Y; Kim, YJ; Martin, E; Kirschmann, P; Rosenheck, L; Reich, J | en_US |
dspace.date.submission | 2021-03-22T14:32:52Z | |
mit.license | OPEN_ACCESS_POLICY | |
mit.metadata.status | Complete | |