Teknik yang boleh digunakan bagi e-assessment
eg: Penilaian Formative
1. Reflection – buat reflection melalui new media
Contoh: Terangkan cara yang telah dibincangan?
Rubrik: blog,
Soalan yang mencabar yang membolehan
pelajar membuat r eflesi yang lebih banyak untuk belajar. Di sini pelajar dapat membina pengetahuan
sendiri.
2. Demonstrating – Digital story
/video (you tube)
3. Observation – Video/virtual room
4. Question – Web conference
5. Evidence collection – e-portfolio (mohara)
6. Collaborative work – wiki
7. Quiz – Quizlet, exam view
Teknik untuk memantau aktiviti dalam social media
1. Reflective Practice
2. Ethnographic Method
3. Network Analysis
4. Traditional Website
Metric
5. Evalution Design
_____________________________ooooooooooooo_________________________
Jom kita lihat apa dia meta analisis
Meta-Analysis
Definition
A subset of systematic reviews; a method for systematically combining
pertinent qualitative and quantitative study data from several selected studies
to develop a single conclusion that has greater statistical power. This conclusion
is statistically stronger than the analysis of any single study, due to
increased numbers of subjects, greater diversity among subjects, or accumulated
effects and results.
Meta-analysis would be used for the following purposes:
- To establish statistical
significance with studies that have conflicting results
- To develop a more correct
estimate of effect magnitude
- To provide a more complex
analysis of harms, safety data, and benefits
- To examine subgroups with
individual numbers that are not statistically significant
If the individual studies utilized randomized controlled trials (RCT),
combining several selected RCT results would be the highest-level of evidence
on the evidence hierarchy, followed by systematic reviews, which analyze all
available studies on a topic.
Advantages
- Greater statistical power
- Confirmatory data analysis
- Greater ability to
extrapolate to general population affected
- Considered an evidence-based
resource
Disadvantages
- Difficult and time consuming
to identify appropriate studies
- Not all studies provide
adequate data for inclusion and analysis
- Requires advanced
statistical techniques
- Heterogeneity of study
populations
No comments:
Post a Comment