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This Author published in this journals
All Journal Journal of Education and Learning (EduLearn) Journal Evaluation in Education (JEE)
Helen B. Boholano
Cebu Normal University
Humanities Education Library & Information Science Social Sciences Other

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Early Start DENVER Model: A Meta - analysis Jane P. Canoy; Helen B. Boholano
Journal of Education and Learning (EduLearn) Vol 9, No 4: November 2015
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (151.254 KB) | DOI: 10.11591/edulearn.v9i4.2494

Abstract

Each child with Autism Spectrum Disorder has different symptoms, skills and types of impairment or disorder with other children. This is why the word “spectrum” is included in this disorder. Eapen, Crncec, and Walter, 2013 claimed that there was an emerging evidence that early interventions gives the greatest capacity of child’s development during their first years of life as “brain plasticity” are high during this period. With this, the only intervention program model for children as young as 18 months that has been validated in a randomized clinical trial is “Early Start Denver Model” (ESDM). This study aimed to determine the effectiveness of the outcome of “Early Start Denver Model” (ESDM) towards young children with Autism Spectrum Disorders. This study made use of meta-analysis method. In this study, the researcher utilized studies related to “Early Start Denver Model (ESDM)” which is published in a refereed journal which are all available online. There were five studies included which totals 149 children exposed to ESDM. To examine the “pooled effects” of ESDM in a variety of outcomes, a meta-analytic procedure was performed after the extraction of data of the concrete outcomes. Comprehensive Meta Analysis Version 3.3.070 was used to analyze the data.  The effectiveness of the outcome of “Early Start Denver Model” towards young children with Autism Spectrum Disorders (ASD) highly depends on the intensity of intervention and the younger child age. This study would provide the basis in effectively implementing an early intervention to children with autism such as the “Early Start Denver Model” (ESDM) that would show great outcome effects to those children that has “Autism Spectrum Disorder”.
Assessment of PhD Research and Evaluation Program: Insights from the Graduate Tracer Study Joje Mar P. Sanchez; Jo Ann M. Petancio; Marchee T. Picardal; Chery B. Fernandez; Helen B. Boholano; Remedios C. Bacus; Michelle Mae J. Olvido; Venus M. Cortes
Journal Evaluation in Education (JEE) Vol 5 No 4 (2024): October
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jee.v5i4.1145

Abstract

Purpose of the study: The study assessed the effectiveness of the PhD in Research and Evaluation (PhD RE) program in a state university in Central Visayas, Philippines by examining the career trajectories and competencies of its graduates from 2017 to 2024. Methodology: The study utilized a mixed-methods approach, employing online surveys and open-ended questionnaires distributed through Google Forms. Descriptive statistics was used to analyzed quantitative data, while Braun and Clarke’s thematic analysis was used for qualitative data. Main Findings: The main findings indicate that PhD RE graduates excel in research, instruction, and leadership, with most achieving professional advancement. Employers provided positive feedback, highlighting the graduates’ critical thinking, problem-solving, and research capabilities. Novelty/Originality of this study: This study is novel in that it focuses on PhD graduates in Research and Evaluation and offers fresh perspectives on how the degree affects research competencies and career advancement. The study advances understanding on doctorate programs by outlining the need for more mentoring and interdisciplinary collaboration and making recommendations for curriculum enhancements.
Co-Authors Chery B. Fernandez Jane P. Canoy Jo Ann M. Petancio Joje Mar P. Sanchez Marchee T. Picardal Michelle Mae J. Olvido Remedios C. Bacus Venus M. Cortes