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Record W4247815120 · doi:10.24124/2010/bpgub1479

Achieving greater academic success: engaging students by providing feedback and summative grades for note taking

2010· dissertation· en· W4247815120 on OpenAlexaff
Dianne Jean McDonald

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsMathematics educationSummative assessmentNull hypothesisAcademic yearTest (biology)Class (philosophy)PsychologyAlternative hypothesisMathematicsFormative assessmentComputer scienceStatistics

Abstract

fetched live from OpenAlex

This mixed method research project addressed the question, "Will the awarding of grades for note taking increase the average final grades of students enrolled in a first semester college English course?" Four sections of the same EN1201, English Composition course, participated in this research project. Two sections of four were required to take daily class notes in Learning Journals, which were graded at mid-semester and at end of the semester and earned students up to ten percent of their final grade. The other two sections were able to earn up to ten percent of their final grade. for writing two 300-word Learning Summaries of the course content that were graded at mid-semester and also at the end of the semester. The average final grades of the two groups were compared. In addition, qualitative research methods were used to record the responses by the two groups on a pretest and post-test Student Learning Survey. The students who kept daily Learning Journals were expected to achieve a higher average final grades than students who wrote Learning Summaries. However, because of the number of uncontrolled variables in this research project, final grade differences between these two groups were not statistically significant. The data from this research failed to reject the null hypothesis which stated that there was no correlation between daily note taking and higher final grades. Therefore, more research with greater control of the variables is recommended.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.467
Teacher spread0.424 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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