The Development of Service Learning Management Model of Undergraduate Program in Private University
Bibliographic record
Abstract
The objectives of research are to develop, identify the main components of “Service Learning Management (SLM)”model, and to assess, evaluate the performance achievement of SLM implementation for undergraduate program inprivate university. The process of research is divided into two parts as: 1). developing the questionnaire samples thatwill be distributed to 377 lecturers in private university as the respondents for finding the appropriateness of maincomponents in SLM model by applying the Multi-Stage Sampling; and 2) testing and evaluating the SLM model’seffectiveness that will be executed to 11 students in Bachelor of Arts (Major: English for International Communication)of Saint John's University, who registered ENG. 3202 (Introduction to Speech Communication) as a subject insemester 2/2016. The research findings are described the SLM model that consists of 4 major variables and 9sub-variables as: 1) ‘Input’ has the 3 sub-variables (Integrated curriculum and instruction; learning outcomesdetermining; and resource management); 2) ‘Process’ includes 6 sub-variables that can be classified in to 5 steps(Investigation: lets the community set the requirement; Preparation: is the cooperation of three sides - university,student and community; Execution: is having positive relationship with community; Reflection: continuouslyevaluating; and Demonstration: is public relations and publicity; 3) ‘Output’ is the outcomes of learners and results ofthe evaluation; and 4) ‘Feedback’ is applying and integrating the outcomes of student’s accomplishment andevaluation. The results of demonstration and evaluation of SLM reflection to student performance achievementrevealed that 80 percent of students had higher GPA (Grade Point Average), and the learning outcome of studentsaccording to Thailand Qualifications Framework (TQF) is considered as high. The results of leadership competency,disciplinary and voluntariness of self-assessment test are counted as high in all aspects. Reflection record candevelopment critical thinking Finally, the overall satisfaction grading by university is considered as high in all aspects,and also the community responses have more advantage benefits and positive impacts in all aspects.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".