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Project-Based Science Learning Facilitated Through Technology
Project-Based Science Learning Facilitated Through Technology
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151140
- ISBN
- 9798384137573
- DDC
- 507
- 서명/저자
- Project-Based Science Learning Facilitated Through Technology
- 발행사항
- [Sl] : Michigan State University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 155 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
- 주기사항
- Advisor: Frank, Kenneth;Schneider, Barbara L.
- 학위논문주기
- Thesis (Ph.D.)--Michigan State University, 2024.
- 초록/해제
- 요약This dissertation focuses on three manuscripts all related to bolstering science achievement through recommendations from the National Research Council (NRC) regarding the teaching and learning of science. The manuscripts address meeting the NRC's call to incorporate curriculum and assessment that lead to more in-depth knowledge that can be transferred across domains, and the use of technology to facilitate teaching and learning. The first manuscript, "Improving Science Achievement - Is It Possible? Evaluating the Efficacy of a High School Chemistry and Physics Project-Based Learning Intervention," describes the process of developing intensive project-based curriculum and assessment materials for high school chemistry and physics classrooms. This study answers the question of what impact that curriculum has on students' future science achievement and academic ambition. The second manuscript, "Using Machine Learning to Score Multi-Dimensional Assessments of Chemistry and Physics," focuses on the use of a supervised machine learning approach to facilitate the scoring of science assessments. The goal of this study was to determine whether automating the process of classifying these responses could reduce the burden placed on teachers in scoring assessments that effectively measure the dimensions of learning spelled out by the NRC. The third study, "U.S. and Finnish high school engagement during the Covid-19 Pandemic," then explores student engagement with the use of technologies that facilitate remote instruction.
- 일반주제명
- Science education
- 일반주제명
- Educational technology
- 일반주제명
- Curriculum development
- 키워드
- Remote teaching
- 기타저자
- Michigan State University Measurement and Quantitative Methods - Doctor of Philosophy
- 기본자료저록
- Dissertations Abstracts International. 86-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798384137573
■035 ▼a(MiAaPQ)AAI31149312
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a507
■1001 ▼aMaestrales, Sarah.▼0(orcid)0000-0003-1553-2774
■24510▼aProject-Based Science Learning Facilitated Through Technology
■260 ▼a[Sl]▼bMichigan State University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a155 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-03, Section: B.
■500 ▼aAdvisor: Frank, Kenneth;Schneider, Barbara L.
■5021 ▼aThesis (Ph.D.)--Michigan State University, 2024.
■520 ▼aThis dissertation focuses on three manuscripts all related to bolstering science achievement through recommendations from the National Research Council (NRC) regarding the teaching and learning of science. The manuscripts address meeting the NRC's call to incorporate curriculum and assessment that lead to more in-depth knowledge that can be transferred across domains, and the use of technology to facilitate teaching and learning. The first manuscript, "Improving Science Achievement - Is It Possible? Evaluating the Efficacy of a High School Chemistry and Physics Project-Based Learning Intervention," describes the process of developing intensive project-based curriculum and assessment materials for high school chemistry and physics classrooms. This study answers the question of what impact that curriculum has on students' future science achievement and academic ambition. The second manuscript, "Using Machine Learning to Score Multi-Dimensional Assessments of Chemistry and Physics," focuses on the use of a supervised machine learning approach to facilitate the scoring of science assessments. The goal of this study was to determine whether automating the process of classifying these responses could reduce the burden placed on teachers in scoring assessments that effectively measure the dimensions of learning spelled out by the NRC. The third study, "U.S. and Finnish high school engagement during the Covid-19 Pandemic," then explores student engagement with the use of technologies that facilitate remote instruction.
■590 ▼aSchool code: 0128.
■650 4▼aScience education
■650 4▼aEducational technology
■650 4▼aCurriculum development
■653 ▼aAcademic ambition
■653 ▼aAutomated scoring
■653 ▼aStudent engagement
■653 ▼aProject-based learning
■653 ▼aRemote teaching
■690 ▼a0714
■690 ▼a0800
■690 ▼a0710
■690 ▼a0727
■71020▼aMichigan State University▼bMeasurement and Quantitative Methods - Doctor of Philosophy.
■7730 ▼tDissertations Abstracts International▼g86-03B.
■790 ▼a0128
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160949▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
