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Articles 1 - 30 of 230
Full-Text Articles in Educational Assessment, Evaluation, and Research
Measuring Administrative Hiring Confidence Of Music Teachers In The Context Of Shallow Hiring Pools, Aaron M. Strum
Measuring Administrative Hiring Confidence Of Music Teachers In The Context Of Shallow Hiring Pools, Aaron M. Strum
Dissertations
The purpose of this study was to identify and measure the confidence of K-12 administrators in hiring music faculty. This study also aimed to analyze administrators’ perspectives and confidence in key stages of the hiring process, including defining job expectations, posting, advertising, interviewing, and selecting highly specialized music teachers in K-12 settings. Confidence of K-12 administrators can be gauged through their understanding of how well an applicant aligns with the specific needs of the school’s program. Three research questions guided this investigation: (1a) How confident are K-12 administrators in their understanding of music teaching pedagogy when interviewing music teacher candidates …
Large Language Model-Based Automated Item Generation In Stem Assessments: Historical Mapping And A Scoping Review Of Empirical Studies, Moses Oluoke Omopekunola
Large Language Model-Based Automated Item Generation In Stem Assessments: Historical Mapping And A Scoping Review Of Empirical Studies, Moses Oluoke Omopekunola
Journal of Educational Technology Development and Exchange (JETDE)
Educational assessments, from low-stakes classroom tests to high-stakes national examinations, require item pools that are valid, fair, and secure. Automated Item Generation (AIG) aims to efficiently produce large pools of calibrated test items. This paper adopts a two-part design: (1) a brief historical mapping situating LLM-based AIG within the broader AIG trajectory; and (2) a scoping review of empirical studies on LLM-based AIG for STEM assessments, published between January 2022 and January 2026. A structured search of ERIC, Lens and OpenAlex yielded 1,267 records; after deduplication and screening, 7 studies were retained for synthesis. In all studies, LLMs were primarily …
Teacher-Guided Video Instruction For Dance Appreciation: A Design-Based Research Study, Cuiqing Meng, Tiantian Zhou
Teacher-Guided Video Instruction For Dance Appreciation: A Design-Based Research Study, Cuiqing Meng, Tiantian Zhou
Journal of Educational Technology Development and Exchange (JETDE)
Video is widely used in dance appreciation courses; however, unguided viewing often leads to passive observation rather than analytical understanding. Grounded in multimedia learning theory and instructional scaffolding, this study employed a Design-Based Research (DBR) approach to develop and evaluate a teacher-guided video instructional model in a dance appreciation course in a Chinese university. The DBR process involved iterative phases of design, implementation, analysis, and refinement within an authentic classroom context. A convenience sample of 23 undergraduate dance majors participated in the study. Data were collected through a structured questionnaire consisting of Likert-scale items and open-ended responses. Quantitative data were …
Digital Transformation And Artificial Intelligence In Education In Vietnam: A Bibliometric And Systematic Review, Minh-Anh Thi Nguyen, Van-Quynh Ha
Digital Transformation And Artificial Intelligence In Education In Vietnam: A Bibliometric And Systematic Review, Minh-Anh Thi Nguyen, Van-Quynh Ha
Journal of Educational Technology Development and Exchange (JETDE)
Globally, digital transformation (DT) is reshaping education through data-driven innovation, artificial intelligence (AI), and emerging learning technologies. These transformative forces are influencing not only instructional methods but also governance, equity, and sustainability in education. Within this context, the study provides a comprehensive review of DT and AI in Vietnam’s education sector. Combining bibliometric mapping with a systematic content analysis, it synthesizes recent scholarly developments to reveal key research trends, methodological orientations, and conceptual structures. Five thematic clusters are identified, including digital competence, institutional transformation strategies, AI literacy, and learner engagement, potentially reflecting a shift from institutional readiness toward learner-centered innovation. …
Enhancing Academic Literacy Through Ai-Supported Writing Analytics In Multilingual Higher Education, Riki Nasrullah, Septia Rizqi Nur Abni
Enhancing Academic Literacy Through Ai-Supported Writing Analytics In Multilingual Higher Education, Riki Nasrullah, Septia Rizqi Nur Abni
Journal of Educational Technology Development and Exchange (JETDE)
This study examines the longitudinal impact of AI-supported writing analytics on academic literacy in multilingual higher education. Using a quasi-experimental design over two semesters with 124 undergraduates, the treatment group employed a GPT-based analytics tool, while the control group relied on conventional feedback. Using a longitudinal quasi-experimental design and repeated-measures analyses, the study found significant group effects and significant Group × Time interactions, indicating that the treatment group achieved larger and more sustained gains in academic literacy. Process-oriented indicators and learning analytics further showed a shift from surface editing to global revision, accompanied by deeper metacognitive engagement.
Artificial Intelligence In Higher Education: How Educators’ Perception, Readiness, And Well-Being Shape Performance, Fatimah Pohan, Dicky Aprillo Siregar, Muhammad Bangun Siregar
Artificial Intelligence In Higher Education: How Educators’ Perception, Readiness, And Well-Being Shape Performance, Fatimah Pohan, Dicky Aprillo Siregar, Muhammad Bangun Siregar
Journal of Educational Technology Development and Exchange (JETDE)
Artificial Intelligence (AI) is transforming higher education, but its effectiveness depends on how educators perceive, adopt, and psychologically respond to the technology. This study examines the effects of educators’ perception of AI and AI adoption on self-reported educators’ performance through AI readiness and psychological well-being. Grounded in the Technology Acceptance Model, Readiness for Change Theory, and the Job Demands–Resources framework, the study employed a quantitative cross-sectional survey design. Data were collected from 121 educators at private higher education institutions in North Sumatra, Indonesia, using purposive sampling of active educators. The data were analyzed using Partial Least Squares Structural Equation Modeling. …
Investigation Of Dean’S Transformational Leadership Profiles And Digital Transformation Maturity In Guangxi Public Higher Vocational Colleges, Lili Ding, Jamilah Binti Ahmad, Yuqiang Luo
Investigation Of Dean’S Transformational Leadership Profiles And Digital Transformation Maturity In Guangxi Public Higher Vocational Colleges, Lili Ding, Jamilah Binti Ahmad, Yuqiang Luo
Journal of Educational Technology Development and Exchange (JETDE)
Background: As China builds an innovation-driven economy, vocational education provides essential skilled workers for key industries, helping to elevate vocational colleges into crucial centers for talent development and social mobility. In this context, the dean’s transformational leadership may play an important role in supporting institutional digital transformation.
Research Question: How do deans’ transformational leadership domains predict institutional digital transformation maturity across leadership and pedagogy in vocational education?
Methods: A sequential explanatory mixed-methods design combined a faculty survey with semi-structured interviews. Valid survey responses from 30 faculty members were analyzed using descriptive statistics, correlations, and regression, followed by thematic analysis of …
Ai-Generated Content In Education: Moving Beyond Theory Toward Data-Driven And Actionable Insights, Huong Thi Pham, Nhung Thi Phuong Nguyen
Ai-Generated Content In Education: Moving Beyond Theory Toward Data-Driven And Actionable Insights, Huong Thi Pham, Nhung Thi Phuong Nguyen
Journal of Educational Technology Development and Exchange (JETDE)
The emergence of AI-powered content such as text, images, and videos generated by large language models (LLMs) has rapidly transitioned from an experimental novelty to a structural force in higher education. Yet, previous reviews have remained largely conceptual or focused on the early stages of the AI wave. This study offers an updated, multi-faceted overview of AI-generated content in education based on data from 2022 to 2025. Following the PRISMA protocol, we systematically identified and reviewed 64 peer-reviewed studies to examine usage, transformation of teaching practices, impacts on learning outcomes, and challenges related to academic integrity, bias, trustworthiness, and teacher …
Development Of The Digital Literacy Scale Based On A Socioformative Approach In University Students, Pedro Luis Arroyo-Pizarro, Renzo Esteban Martinez Laya, Elizabeth Deisy Herrera Bustillos, Esperanza Carmen Quiñones Aldazabal, Ernesto Elias Mamani Tipula, Alex Giovanny Arestigue Navarro, Christian Daniel Palomino Huananchin
Development Of The Digital Literacy Scale Based On A Socioformative Approach In University Students, Pedro Luis Arroyo-Pizarro, Renzo Esteban Martinez Laya, Elizabeth Deisy Herrera Bustillos, Esperanza Carmen Quiñones Aldazabal, Ernesto Elias Mamani Tipula, Alex Giovanny Arestigue Navarro, Christian Daniel Palomino Huananchin
Journal of Educational Technology Development and Exchange (JETDE)
Abstract: The objective of this study was to develop and validate a digital literacy scale grounded in the socioformative approach for university students. An instrumental, cross-sectional design was used with a sample of 174 students from Metropolitan Lima. Content validity was established through expert judgment, and construct validity was examined using exploratory factor analysis. The results supported a four-factor structure—Metacognitive-Adaptive ICT domain, Critical digital information management, Multimedia communicative production, and Digital socio-ethical practice—that explained 61% of the variance. Reliability indices were acceptable across dimensions (α=.716–.810; ω=.728–.817). The findings indicate that the scale (EADigit) is a valid and reliable tool for …
Development And Psychometric Validation Of A Short-Form Critical Thinking Scale In Generative Ai Contexts (Genai–Crt): Evidence From Vietnamese Efl Learners, Ngo Cong-Lem, Thang T. Nguyen, Khanh N. H. Nguyen, Quyen N. H. Nguyen
Development And Psychometric Validation Of A Short-Form Critical Thinking Scale In Generative Ai Contexts (Genai–Crt): Evidence From Vietnamese Efl Learners, Ngo Cong-Lem, Thang T. Nguyen, Khanh N. H. Nguyen, Quyen N. H. Nguyen
Journal of Educational Technology Development and Exchange (JETDE)
The rapid spread of generative artificial intelligence (GenAI) in education has intensified concerns about its impact on learners’ critical thinking, underscoring the need for reliable instruments to assess how students engage critically with AI-generated content. This study adapted, developed, and initially validated the Generative AI–Critical Thinking (GenAI–CrT) scale, an eight-item short-form instrument designed to capture EFL learners’ critical thinking in AI-enhanced learning contexts. Data from 233 Vietnamese undergraduates and graduates underwent exploratory and confirmatory factor analyses, supporting a theoretically grounded four-factor structure comprising analytical skills, logical reasoning, evidence evaluation, and open-mindedness. The scale demonstrated excellent model fit (χ²(14) = 23.49, …
Trends And Innovations In The Development Of Immersive Technology In Science Education (2019-2024): A Literature Review, Aziz Kurniawan, Hartono Hartono, Bambang Subali
Trends And Innovations In The Development Of Immersive Technology In Science Education (2019-2024): A Literature Review, Aziz Kurniawan, Hartono Hartono, Bambang Subali
Journal of Educational Technology Development and Exchange (JETDE)
The COVID-19 pandemic has had a significant impact, including the change in learning methods from face-to-face to non-face-to-face learning. This change in method accelerates innovation in the use of technology to support non-face-to-face learning. Immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR), and Virtual laboratories, have offered authentic and interactive non-face-to-face learning experiences in science education. This study employed a systematic literature review (SLR) method to map trends and innovations in the development of immersive technology in science education from 2019 to 2024. The literature data were obtained from the Scopus database and then selected using the PRISMA …
Speaking Up Online And Offline: The Effects Of Social Media-Based E-Portfolios In Empowering Efl Students' Speaking Performance, I Putu Indra Kusuma, Luh Indrayani
Speaking Up Online And Offline: The Effects Of Social Media-Based E-Portfolios In Empowering Efl Students' Speaking Performance, I Putu Indra Kusuma, Luh Indrayani
Journal of Educational Technology Development and Exchange (JETDE)
Although e-portfolios are widely acknowledged for enhancing EFL students’ speaking skills, most studies assessed performances offline, leaving limited evidence of their impact across both modes. This study examined the effects of social media-based e-portfolios combined with classroom instruction on students’ speaking performance in online and offline contexts. A mixed-methods experimental design was employed, involving 46 Indonesian university students divided into an experimental and a control group. Data were collected through online and offline pre- and post-speaking tests, a speaking performance rubric, and semi-structured interviews. Quantitative analysis using One-Way MANOVA, Univariate ANOVA, paired sample t-test, and effect size revealed significant improvements …
Case-Based Learning In Biology Education: A Systematic Literature Review, Elsje Theodora Maasawet, Jullya Christin Kolow
Case-Based Learning In Biology Education: A Systematic Literature Review, Elsje Theodora Maasawet, Jullya Christin Kolow
Journal of Educational Technology Development and Exchange (JETDE)
Biology education often relies on content-intensive instructional materials that may encourage rote memorisation rather than conceptual understanding, potentially contributing to misconceptions. Case-Based Learning (CBL) offers an alternative by engaging students in applying biological concepts to authentic, real-life cases and promoting meaningful learning. Despite growing empirical interest in CBL, no systematic literature review has specifically synthesised its application in biology education. This study therefore examined publication trends, learning skills addressed, and conceptualisations of CBL in biology education. Relevant literature was retrieved from Scopus and Web of Science using “Case-Based Learning” as the search term. Following PRISMA-guided screening, 42 articles were included …
Integrating Digital Tools To Foster Soft Skills In Vocational Education: A Flipped Classroom Approach In China, Shanshan Wu, Renee Shiun Yee Chew, Yanhua Bi, Hui Jin
Integrating Digital Tools To Foster Soft Skills In Vocational Education: A Flipped Classroom Approach In China, Shanshan Wu, Renee Shiun Yee Chew, Yanhua Bi, Hui Jin
Journal of Educational Technology Development and Exchange (JETDE)
Changes in the global demand for labor have highlighted the need for vocational education and training (VET) systems to develop not only technical skills but also soft skills like critical thinking, communication, and adaptability. This research investigates the use of digital technologies in a flipped classroom (FC) model and their impact on the development of soft skills in vocational students with particular attention to the growing VET ecosystem in China. With data gathered from a cross-sectional quantitative survey of 270 students from a Chinese vocational college, the research seeks to assess the impact of specific digital tools, such as video …
Evaluating Artificial Intelligence Language Tools In English Language Learning For Flight Attendant Learners, Qianying Pu, Amelia Binti Alias, Khairul Azhar Bin Jamaludin
Evaluating Artificial Intelligence Language Tools In English Language Learning For Flight Attendant Learners, Qianying Pu, Amelia Binti Alias, Khairul Azhar Bin Jamaludin
Journal of Educational Technology Development and Exchange (JETDE)
This study analyzes AI language tools aiding English learning for aspiring flight attendants, focusing on fluency, pronunciation, and communication skills. Considering the aviation industry’s very high language requirements, this research examines how AI language tools help flight attendants master English and improve their speech and pronunciation. A qualitative descriptive design using semi-structured interviews was adopted for the present study with flight attendants and aviation English educators. The study highlights major themes such as Increased Confidence through Repetition and Feedback, Pronunciation Improvement Enabled by an AI-specific feature, Pedagogical Gaps and Instructor Apathy, and Limitations in Contextual Appropriateness. This study concludes that …
Vol 19 Issue 1 Table Of Contents
Vol 19 Issue 1 Table Of Contents
Journal of Educational Technology Development and Exchange (JETDE)
Table of Contents
Machine Learning For Predicting Students’ Academic Performance In Selected Educational Technology Courses In Nigerian Universities, Mohammed Jibril
Machine Learning For Predicting Students’ Academic Performance In Selected Educational Technology Courses In Nigerian Universities, Mohammed Jibril
Journal of Educational Technology Development and Exchange (JETDE)
Machine learning (ML) has emerged as a powerful tool in education that enhances data-driven decision-making and supports timely interventions. However, its application in Nigerian higher education remains underexplored, particularly where sociocultural and institutional factors may influence predictive accuracy. This study employs the CRISP-DM framework to address this gap by applying ML to predict student performance in core educational technology courses. The models were trained on a dataset of 19,961 instances collected from three Nigerian universities from 2010 to 2024. A percentage split of 80% for training and 20% for testing was adopted. Thirteen machine learning algorithms were applied to predict …
A Hierarchical And Multidimensional Approach To Profiling Students’ Digital Skills In Educational Technology, Emil S. Frashëri, Eleni F. Vangjeli
A Hierarchical And Multidimensional Approach To Profiling Students’ Digital Skills In Educational Technology, Emil S. Frashëri, Eleni F. Vangjeli
Journal of Educational Technology Development and Exchange (JETDE)
This study investigates university students’ digital competence through a multidimensional and person‑centered analytical framework grounded in bifactor–Exploratory Structural Equation Modeling (B‑ESEM). Digital competence was conceptualized across four functional skill domains and a general competence factor, reflecting contemporary perspectives on technology‑enhanced learning and student readiness. To overcome a common limitation in traditional Latent Profile Analysis (LPA), the conflation of overall competence levels with relative skill configurations, this study employed B‑ESEM–derived factor scores to preserve both hierarchical structure and multidimensionality. Using data from 599 university students, a four‑profile solution emerged, capturing distinct patterns of digital skill strengths and weaknesses. Gender and programming …
Ethical Dilemmas Of Generative Ai In Education And Their Implications For Sdg 4: A Systematic Review From A Global And Inclusive Perspective, Eva García-Beltrán
Ethical Dilemmas Of Generative Ai In Education And Their Implications For Sdg 4: A Systematic Review From A Global And Inclusive Perspective, Eva García-Beltrán
Journal of Educational Technology Development and Exchange (JETDE)
This systematic review, conducted in accordance with PRISMA 2020 guidelines, examines the ethical dilemmas associated with the use of Generative Artificial Intelligence (GAI) in education and analyses their implications for the achievement of Sustainable Development Goal 4 (SDG 4), with a focus on inclusive and equitable quality education. The review draws on 24 peer-reviewed studies published between December 2022 and December 2024, covering diverse educational levels and geographical contexts, with a predominance of Global North perspectives and limited representation from the Global South. The analysis reveals four primary themes: academic integrity, algorithmic equity, data privacy, and the potential contribution of …
Exploring Teachers’ Perceptions Towards Using Ict With Dialogic Teaching In The Primary Science Classroom In Saudi Arabia, Yousef Alharbi, Sue Johnston-Wilder
Exploring Teachers’ Perceptions Towards Using Ict With Dialogic Teaching In The Primary Science Classroom In Saudi Arabia, Yousef Alharbi, Sue Johnston-Wilder
Journal of Educational Technology Development and Exchange (JETDE)
This study examines the implications of teachers’ perceptions of using ICT to support dialogic teaching in primary science classrooms in Saudi Arabia. It employed questionnaires distributed electronically to science teachers working in state primary schools in Riyadh, and 305 completed responses were analyzed using SPSS. The majority were found to implement a variety of activities to support dialogue and to use several ICT tools in their science lessons. In addition, most teachers reported positive attitudes toward ICT, dialogic teaching, and ICT-supported dialogic teaching in science lessons. However, the results indicated that some teachers currently adopt a dominant role in dialogue …
Application Of Artificial Intelligence In Case-Based Teaching: A Qualitative Study In Mba Education, Tianjiao Xu, Mohd Nazir Bin Zabit
Application Of Artificial Intelligence In Case-Based Teaching: A Qualitative Study In Mba Education, Tianjiao Xu, Mohd Nazir Bin Zabit
Journal of Educational Technology Development and Exchange (JETDE)
This study examines the incorporation of artificial intelligence (AI) into case-based teaching (CBT) within Master of Business Administration (MBA) programs in China, amidst the rapid digital transition in higher education. Guided by the Context–Input–Process–Product (CIPP) evaluation framework, the study adopted a qualitative design and conducted semi-structured interviews with five instructors from three core MBA courses. The findings indicate that AI enhanced classroom interaction and reduced teachers’ workload by supporting real-time feedback and dynamic discussion processes. Institutional support, including teacher training, digital infrastructure, and technical assistance, was recognized as a vital facilitator of effective implementation. Despite its various benefits, the study …
Perspectives Of Rural Educators On The Dependencies And Drawbacks Of Chat Gpt In Nigerian Higher Education Practices, Adedayo Olayinka Theodorio Dr, Francisca Jumoke Theodorio, Olumide Gbenga Olugbodi, Peter Adebowale Samson, Olusegun Olawale Olakotan
Perspectives Of Rural Educators On The Dependencies And Drawbacks Of Chat Gpt In Nigerian Higher Education Practices, Adedayo Olayinka Theodorio Dr, Francisca Jumoke Theodorio, Olumide Gbenga Olugbodi, Peter Adebowale Samson, Olusegun Olawale Olakotan
Journal of Educational Technology Development and Exchange (JETDE)
ChatGPT remains a valuable tool for transforming teaching strategies and supporting students’ comprehension of subject matter. However, its adoption and research remain uneven within the context of higher education in Nigeria. Specifically, there is limited empirical research that exemplifies real-world experiences regarding the dependencies and drawbacks in rural educational settings. This qualitative single-case study explored this phenomenon at a southwestern institution in Nigeria, involving a purposively selected group of educators. Data were gathered through participatory observation and focus group interviews, which were thematically analysed. The results indicated that the effective use of ChatGPT in rural higher education heavily depends on …
Vol 18 Issue 3 List Of Reviewers
Vol 18 Issue 3 List Of Reviewers
Journal of Educational Technology Development and Exchange (JETDE)
Vol 18 Issue 3 List of reviewers
Vol 16 Issue 2 List Of Reviewers
Vol 16 Issue 2 List Of Reviewers
Journal of Educational Technology Development and Exchange (JETDE)
List of reviewers of Vol 16, Issue 2
Using Inquiry Classroom Experiences To Correct Student Misconceptions In Elementary Science: An Action Research Study, Hope A. Ellison
Using Inquiry Classroom Experiences To Correct Student Misconceptions In Elementary Science: An Action Research Study, Hope A. Ellison
Master's Theses
Misconceptions in elementary science education can significantly hinder students' ability to construct accurate and lasting conceptual understandings. Grounded in the constructivist learning theory, this quasi-experimental study investigates how inquiry-based instruction influences the identification and correction of third-grade students’ misconceptions in science, specifically in the domains of energy, force, and matter. Using a pre- and post-test design, along with data derived from daily teacher field notes, the research was conducted with a sample of fifteen third-grade students at a public elementary school in Mississippi. The results, discussed in the methods section, revealed a statistically significant improvement in students’ conceptual understanding following …
Effects Of Financial Literacy Education Intervention On Loan Borrowing And Debt Management Of Undergraduate Students In The Southeastern U.S.: An Experimental Investigation, Clement Yeboah
Dissertations
This mixed methods experimental pretest-posttest between-groups effect study examined the causal effects of financial literacy education on loan borrowing and debt management behaviors of undergraduate students in the southeast of the United States. Loan borrowing and debt management behaviors of undergraduate students are understudied. Therefore, this study aimed to fill the gap in the literature about experimental investigations of financial education interventions for university students and provided evidence-based recommendations for improving financial literacy programs in higher education. The study is theoretically grounded on the lens of Behavioral Economics, Planned Behavior, and Social Cognitive. This explanatory sequential mixed method study employed …
V1804 Table Of Contents
Journal of Educational Technology Development and Exchange (JETDE)
table of contents
Gy2022 Rapid Response Survey #3: Determining The Training Needs Of Child Nutrition Professionals, Keith Rushing Phd, Rd
Gy2022 Rapid Response Survey #3: Determining The Training Needs Of Child Nutrition Professionals, Keith Rushing Phd, Rd
Institute of Child Nutrition, Applied Research Division
Child nutrition professionals must maintain current knowledge and skills to effectively implement program regulations and nutrition standards. This study examined the training needs and preferred training delivery methods of school nutrition and Child and Adult Care Food Program (CACFP) professionals across the United States to support future professional development efforts.
Using a two-phase research design, researchers conducted a literature review, expert panel review, survey development, pilot testing, and national survey administration. The final survey was distributed through the Institute of Child Nutrition’s national contact database, resulting in 777 completed responses from school nutrition directors, managers, staff, and CACFP professionals representing …
Rapid Response Survey #3: Determining The Training Needs Of Child Nutrition Professionals, Keith Rushing Phd, Rd, Ruaa Al-Juboori Phd, Mackinsey Shahan Phd
Rapid Response Survey #3: Determining The Training Needs Of Child Nutrition Professionals, Keith Rushing Phd, Rd, Ruaa Al-Juboori Phd, Mackinsey Shahan Phd
Institute of Child Nutrition, Applied Research Division
Child nutrition professionals must continually develop knowledge and skills to meet evolving program regulations, nutrition standards, and operational demands. This study examined the training needs and preferred training delivery methods of school nutrition and Child and Adult Care Food Program (CACFP) professionals across the United States.
Using a two-phase research design, researchers conducted a literature review, expert panel review, survey development, and national survey administration. A total of 777 child nutrition professionals, including school nutrition directors, managers, staff, and CACFP personnel, participated in the study. Respondents identified high-priority training topics and preferred methods for receiving training, including in-person, live virtual, …
Competencies, Knowledge, And Skills For Chefs Working In School Nutrition Programs, Marjuyua Lartey Gibson Phd, Rdn, Jane Peterson Phd, Rdn, Kymberle Gordon Phd, Shellie R. Hubbard Ma, Travis Brewington
Competencies, Knowledge, And Skills For Chefs Working In School Nutrition Programs, Marjuyua Lartey Gibson Phd, Rdn, Jane Peterson Phd, Rdn, Kymberle Gordon Phd, Shellie R. Hubbard Ma, Travis Brewington
Institute of Child Nutrition, Applied Research Division
As school nutrition programs increasingly employ chefs to enhance menu quality, culinary innovation, and operational effectiveness, there is a growing need to define the competencies required for success in these roles. Building upon previous research that identified the roles, responsibilities, and impact of chefs working in school nutrition programs, this study sought to develop a comprehensive competency framework for school nutrition chefs.
The study was conducted in three phases. An expert panel of school nutrition professionals, State agency staff, United States Department of Agriculture Food and Nutrition Service representatives, and Culinary Institute of Child Nutrition staff first reviewed and confirmed …