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Record W2794586191 · doi:10.5539/mas.v12n4p178

The Degree of Using Social Media in the Educational Process from the Perspective of Teachers in Jordan

2018· article· en· W2794586191 on OpenAlexvenueno aff
Jihad Alsayyed, Mohammad Sayel Alzyoud

Bibliographic record

VenueModern Applied Science · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStratified samplingSample (material)Christian ministryPsychologySocial mediaPopulationStandard deviationMathematics educationMedical educationStatisticsMathematicsSociologyMedicineComputer sciencePolitical scienceDemographyPhysics

Abstract

fetched live from OpenAlex

This study aimed at investigating the degree of using social media in the educational process by the teachers of the upper-primary stage in Jordan from teacher’s perspective. The survey method used in this study is the descriptive method. The data were collected using a questionnaire and was developed to achieve the objectives of the study. The population of the study includes 37703 teachers of the upper primary stage in governmental and private schools, supervised by the Ministry of Education in Jordan for the academic year (2016/2017). The study sample consisted of 2133 teachers (766 male teachers and 1367 female teachers) who were randomly selected according to the stratified random sampling. The first question was answered by calculating the mean and the standard deviations of the sample individual’s responses based on the items of the questionnaire related to the degree of using social media in the educational process in the upper primary stage in Jordan. In answering question one, the mean and the standard deviations of the responses of the sample individuals were calculated on the questionnaire based on the degree of using social media in the educational process in the upper primary stage in Jordan in general, and also for each dimension of the study questionnaire. Results of question one showed that the degree of using social media means by the teachers of upper primary stage in Jordan was low. In answering question two, the significant statistical differences (α = 0.05) based on the degree of using social media in the educational process by the teachers of the upper primary stage in Jordan due to their gender, school type, and academic qualification were examined through calculated means, standard deviations, the independent samples t-test, and one way analysis of variance (ANOVA). Results of question two showed that there are statistically significant differences at α = 0.05 on the scores of the respondents in the study sample. This, however, can be seen in terms of the dimensions of the degree of using social media by teachers of upper primary stage in educational process in Jordan, for the whole tool, due to gender in favor of males. The differences were in the dimension of knowledge, skills, and value for males. In terms of the social dimension, the differences were in favor of females. There are no statistically significant differences at α = 0.05 on the degrees of the respondents to the study sample on the dimensions of the use of social media by teachers of upper primary stage in educational process in Jordan, and based on the degree of overall tool, according to school type variable (governmental, private). In the light of the study results, a number of recommendations were proposed, including enhancing the methods of the use of social media means in the educational process, and overcoming the obstacles that hinder the use of social media in the learning and teaching process.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.096
GPT teacher head0.392
Teacher spread0.295 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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