Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783147400> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2783147400 endingPage "7" @default.
- W2783147400 startingPage "7" @default.
- W2783147400 abstract "Course instructors need to assess the efficacy of their teaching methods, but experiments in education are seldom politically, administratively, or ethically feasible. Quasi-experimental tools, on the other hand, are often problematic, as they are typically too complicated to be of widespread use to educators and may suffer from selection bias occurring due to confounding variables such as students’ prior knowledge. We developed a machine learning algorithm that accounts for students’ prior knowledge. Our algorithm is based on symbolic regression that uses non-experimental data on previous scores collected by the university as input. It can predict 60–70 percent of variation in students’ exam scores. Applying our algorithm to evaluate the impact of teaching methods in an ordinary differential equations class, we found that clickers were a more effective teaching strategy as compared to traditional handwritten homework; however, online homework with immediate feedback was found to be even more effective than clickers. The novelty of our findings is in the method (machine learning-based analysis of non-experimental data) and in the fact that we compare the effectiveness of clickers and handwritten homework in teaching undergraduate mathematics. Evaluating the methods used in a calculus class, we found that active team work seemed to be more beneficial for students than individual work. Our algorithm has been integrated into an app that we are sharing with the educational community, so it can be used by practitioners without advanced methodological training." @default.
- W2783147400 created "2018-01-26" @default.
- W2783147400 creator A5015674770 @default.
- W2783147400 creator A5037919644 @default.
- W2783147400 date "2018-01-10" @default.
- W2783147400 modified "2023-10-18" @default.
- W2783147400 title "Machine Learning-Based App for Self-Evaluation of Teacher-Specific Instructional Style and Tools" @default.
- W2783147400 cites W1979439132 @default.
- W2783147400 cites W2008785686 @default.
- W2783147400 cites W2010593734 @default.
- W2783147400 cites W2049868504 @default.
- W2783147400 cites W2111850066 @default.
- W2783147400 cites W2121162457 @default.
- W2783147400 cites W2158534319 @default.
- W2783147400 cites W2759600996 @default.
- W2783147400 doi "https://doi.org/10.3390/educsci8010007" @default.
- W2783147400 hasPublicationYear "2018" @default.
- W2783147400 type Work @default.
- W2783147400 sameAs 2783147400 @default.
- W2783147400 citedByCount "21" @default.
- W2783147400 countsByYear W27831474002018 @default.
- W2783147400 countsByYear W27831474002019 @default.
- W2783147400 countsByYear W27831474002020 @default.
- W2783147400 countsByYear W27831474002021 @default.
- W2783147400 countsByYear W27831474002022 @default.
- W2783147400 countsByYear W27831474002023 @default.
- W2783147400 crossrefType "journal-article" @default.
- W2783147400 hasAuthorship W2783147400A5015674770 @default.
- W2783147400 hasAuthorship W2783147400A5037919644 @default.
- W2783147400 hasBestOaLocation W27831474001 @default.
- W2783147400 hasConcept C119857082 @default.
- W2783147400 hasConcept C145420912 @default.
- W2783147400 hasConcept C154945302 @default.
- W2783147400 hasConcept C15744967 @default.
- W2783147400 hasConcept C2777212361 @default.
- W2783147400 hasConcept C2778738651 @default.
- W2783147400 hasConcept C41008148 @default.
- W2783147400 hasConcept C77805123 @default.
- W2783147400 hasConcept C88610354 @default.
- W2783147400 hasConceptScore W2783147400C119857082 @default.
- W2783147400 hasConceptScore W2783147400C145420912 @default.
- W2783147400 hasConceptScore W2783147400C154945302 @default.
- W2783147400 hasConceptScore W2783147400C15744967 @default.
- W2783147400 hasConceptScore W2783147400C2777212361 @default.
- W2783147400 hasConceptScore W2783147400C2778738651 @default.
- W2783147400 hasConceptScore W2783147400C41008148 @default.
- W2783147400 hasConceptScore W2783147400C77805123 @default.
- W2783147400 hasConceptScore W2783147400C88610354 @default.
- W2783147400 hasIssue "1" @default.
- W2783147400 hasLocation W27831474001 @default.
- W2783147400 hasLocation W27831474002 @default.
- W2783147400 hasOpenAccess W2783147400 @default.
- W2783147400 hasPrimaryLocation W27831474001 @default.
- W2783147400 hasRelatedWork W2038708036 @default.
- W2783147400 hasRelatedWork W2107026996 @default.
- W2783147400 hasRelatedWork W2354307278 @default.
- W2783147400 hasRelatedWork W2360235540 @default.
- W2783147400 hasRelatedWork W2365670126 @default.
- W2783147400 hasRelatedWork W3126776133 @default.
- W2783147400 hasRelatedWork W3183660436 @default.
- W2783147400 hasRelatedWork W4287234591 @default.
- W2783147400 hasRelatedWork W4315852357 @default.
- W2783147400 hasRelatedWork W2158574843 @default.
- W2783147400 hasVolume "8" @default.
- W2783147400 isParatext "false" @default.
- W2783147400 isRetracted "false" @default.
- W2783147400 magId "2783147400" @default.
- W2783147400 workType "article" @default.