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Record W2781768881 · doi:10.1063/1.5019507

Enhancement of collaboration activities utilizing 21st century learning design rubric

2018· article· en· W2781768881 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAIP conference proceedings · 2018
Typearticle
Languageen
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsRubricComputer scienceMultimediaComputer architectureMathematics educationPsychology

Abstract

fetched live from OpenAlex

Twenty first century learners have incredibly diverse learning interests, needs, and aspirations. Engaging middle school students and sculpting successful, confident, and creative learners is a constant endeavor for educators [4]. In the 21st century classroom environments in which students can develop the skills they need in workplace. Collaboration occurs when students work together to create, discuss challenge and develop deeper critical thinking. In today’s workplace, collaboration is essential as only few tasks are completed alone (Calgary and Park, 2016). The collaborative project-based curriculum used in this classroom develops the higher order thinking skills, effective communication skills, and knowledge of technology that students will need in the 21st century workplace. The study therefore aims to promote collaboration skills among learners as it is deemed as one of the top 21st century skills. Collaborative learning unleashes a unique intellectual and social synergy. This study aims to enhance the collaborative skills of students through conducting collaboration activities in learning the Ecosystem. This research utilizes pretest-posttest and employs descriptive research designs. It uses modified activities about the lesson on Ecosystem and utilizes a Collaboration Rubric to rate the modified activities. The activities were rated by ten In-Service teachers and there are 105 students who participated in doing the activities. The paired t-test is then used to analyze the data. The In-Service teachers evaluated the 1st and 2nd adapted activity and are rated as fair. Thus, the modified activities were enhanced since the ratings of each activity did not meet the criterion of the collaboration rubric. As for the 3rd adapted activity is rated as excellent and is ready for implementation. The evaluators provided comments and suggestions such as producing colored pictures on the activities, omitting some questions, and making the words simpler to enhance the activities. The findings of the study shows the students’ performance in the posttest is higher than the pretest which indicates that there is a significant difference between the two tests given. The students’ conceptual understanding was also improved after conducting the activities. Some students’ outputs were Outstanding, Satisfactory, Fairly Satisfactory and Did Not Meet the Expectation. These results indicate that the students learned and developed their collaborative skills. The students found the activity interesting, enjoyable and useful. Furthermore, they understood the concept behind the activity.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.260
Teacher spread0.229 · 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