TEACHME APP: DIGITIZED HANDOUTS FOR FLEXIBLE LEARNING IN ENGLISH AMIDST PANDEMIC
Bibliographic record
Abstract
In 21st-century education, technology has become a trend. As technology is advantageous, research databases have recorded an increasing number of studies concentrating on its application in the teaching and learning process. Relatively, the present study aimed to determine the effects of digitized handouts using the TeachMe Mobile Application on the Magdalena INHS Senior High School students? performance and attitude towards learning English. The research involved one hundred fifty (150) students from Senior High School of Magdalena Integrated National High School, located at Brgy. Malaking Ambling, Magdalena, Laguna. Before the researcher utilized the digitized module, the respondents used printed modules during the first quarter, then gathered the respondents' first quarterly grade in English then used the digitized module in the second quarter and gathered the students? grades again. A researcher-made questionnaire was used as the main instrument to obtain the necessary data. The data gathered revealed that the TeachMe App?s adaptability, accessibility, compatibility, ease of mobility, and usability were high. Adaptability has a mean score of 3.80, accessibility has 3.80, compatibility attained a mean score of 3.76, ease of mobility has a mean score of 3.79, and usability attained a mean score of 3.78. In addition, out of 150 respondents, 121 respondents, or roughly 81% of the population responded that they spent less than 500 pesos a month on the application. Another 12% claim, or about 18 respondents, state that they spend around 501 to 1000 pesos with the app. On the other hand, around 3% of the population claim that they spend more than 3000 pesos, which is about five respondents which means that the TeachMe App is also cost-effective. On the senior high school students' level of attitude in terms of Motivation attained a mean score of 3.80 and a standard deviation of 0.72, and was High among the students. At the same time, the senior high school students' level of attitude in terms of Study Habits attained a mean score of 3.83 and a standard deviation of 0.76, and was High among the students. Moreover, on the senior high school students? performance in English during the first semester has an average mean of 86.32 and a standard deviation of 3.48, which is remarked as Very Satisfactory, while the second semester has an average mean of 87.66 and a standard deviation of 3.71 which is remarked as Very Satisfactory. In totality, there is a significant difference in the mean scores of the students in their first semester grades using printed modules and second-semester grades using digitized handouts. This means that the utilization of TeachMe App has a significant effect on the students' performance and attitude towards English.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Software About the Canadian research system: no · About a Canadian topic: no | Not applicable | medium |
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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".