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Record W4386387575 · doi:10.47191/ijmra/v6-i8-72

Level and Nature of ICT Use in Teaching and Learning in the Special Primary Schools of Learners with Visual Impairments

2023· article· en· W4386387575 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueINTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsInformation and Communications TechnologyCronbach's alphaStratified samplingSimple random sampleSample (material)Mathematics educationPsychologyScheduleDescriptive statisticsContent validityPedagogyMedical educationComputer scienceSociologyPopulationMathematicsMedicineStatistics

Abstract

fetched live from OpenAlex

Information communication Technology (ICT) has become the most suitable tool for learners with different learning demands exercise their rights to education. Information Communication Technology literacy has enhanced teaching and learning through its dynamics, interactive and engaging content and opportunities for individualized instruction. However, given the role that ICT plays in instruction, the level and nature of ICT use by learners with visual challenges in Kenya should be looked into. The findings are significant for it would help the policy makers as they will be able to come up with effective policies that will aid in the provision, planning and use of ICTs in schools of learners with visual impairment. The objective of the study was to determine the level and nature of ICT use in teaching and learning in the special primary schools of learners with visual impairments in Kenya. The survey adopted descriptive survey research design. The study targeted seven public special schools for visually impaired learners and 1667 learners. The study sampled three schools situated in different counties in the country; Kiambu county, Meru county and Mombasa county. Judgemental sampling technique, stratified random sampling and simple random sampling were used to draw samples. The sample consisted of three primary schools for learners with visual impairments, 168 learners and 18 class teachers. Data collection instrument was observation schedule. Content validity was determined by seeking expert review. The instruments were submitted to experts iteratively for consideration and their suggestions in different items were used to refine them increase validity. The Cronbach Alpha formula was employed to compute the reliability of the instruments. A reliability coefficient of 0.72 was used to judge the reliability of the instruments. Qualitative data was analysed using descriptive statistics. The study found that ICT enjoyed full support from learners with visual impairments and teachers in class. It was seen as an essential tool for teaching and learning in special schools for the learners with visual impairment. However, the use of ICT in teaching and learning was not effective. Both the teachers and learners’ ICT skills were low and the schools were not well equipped with quality ICT resources. The study recommended that schools be equipped with modern technologies and teachers be trained on the use of ICT in teaching learners with visual challenges.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.059
GPT teacher head0.444
Teacher spread0.385 · 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