Effect of Synthetic and Natural Specimen Use on Process Skills and Applications in Secondary School Biology Practical in Ekiti State, Nigeria.
Bibliographic record
Abstract
Effective teaching of Biology practical entails the use of specimens. However, in Nigeria, some natural specimens are difficult to obtain when needed, hindering the learning and application of science process skills. Consequently, teachers resort to pictorial representation of specimen and to online prints for Biology practical instructions. Another possible alternative less discussed is the use of synthetic or artificial specimens. The goal of this study, therefore, was to examine the effect of using synthetic and natural specimen on practical skills- process skills acquisition and application in Biology practical in secondary schools. It sought to determine the efficacy of using synthetic specimens to complement or substitute for natural specimens in teaching Biology practical. The study employed the pre-test, post-test, control group, quasi- experimental design. A total of 212 senior secondary school (SS II) Biology students in six selected government-owned high schools in Moba and Ijero Local Government Area of Ekiti state, Nigeria, were randomly selected for the study. The schools were paired and assigned to two experimental groups (using synthetic and natural specimens) and a control group (using conventional drawings). Eight instruments were employed for the study and used at treatment stage. Data collected were analyzed using Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA) and Multiple Classification Analysis (MCA). The results showed that there was a significant effect of synthetic specimens and natural specimens on the proficiency of the students in basic science process skills acquisition (F = 60.470, P<0.05). However, the mean gain of 3.884 which existed between the two groups showed that natural specimens were slightly more effective than synthetic specimens. The results also showed a significant effect for the use of synthetic specimens on process skills acquisition and applications of Biology concept among the students (F = 74.773, P<0.05). The study concluded that synthetic specimens are equally effective as natural specimens in improving the acquisition and application of basic science process skills of students in Biology.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".