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Record W2177146871 · doi:10.5539/ies.v8n12p241

A Management Strategy for the Improvement of Private Universities Lecturers’ Professional Competences

2015· article· en· W2177146871 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Education Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Communication Studies
Canadian institutionsnot available
Fundersnot available
KeywordsProfessional developmentCompetence (human resources)PsychologyHigher educationPedagogySWOT analysisMedical educationPublic relationsSociologyPolitical scienceBusinessMedicineMarketing

Abstract

fetched live from OpenAlex

<p class="apa">Lecturers are professional educators and scientists whose main job is to transform, develop, and disseminate knowledge, technology, and art through education, research and community services. As professionals, in Indonesia, lecturers are expected to possess pedagogic, personal, social, and professional competences. However, in reality, the professional competences of private university lecturers are still low. It has been established that the masterly of learning materials, the understanding of the pedagogic content and substance, and the use of appropriate teaching and learning methodologies are still low. Thus, the present study aimed to reveal, explain, and find a model of management which can better improve services in the private universities across Indonesia, especially, the improvement of lecturers’ professional competences. The research employed a descriptive-analytic method, which aimed to reveal current events that impact positively on the improvement of private university lecturers’ professional competences. This research, has revealed that the policies of lecturer planning and preparation by teacher training institutions are still weak and less concerned with the aspect of needs assessment or mapping; lecturer competence development has not been handled sufficiently thus, ignoring the stduents needs; the management strategy of lecturers’ competence improvement has not been well-coordinated; the management aspect as well as lecturer continuous professional development has failed to consider reward and punishment, hence affecting lecturer competences. In the effort for further clarification, SWOT analysis was applied which also revealed that among the factors supporting lecturer development was the high motivation and othe inner personal factors. This means there should be special strategies of management development that positively influence lecturer professional competences and quality.</p>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.167
GPT teacher head0.476
Teacher spread0.309 · 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