Curriculum evaluation of tourism undergraduate programs in Turkey: A CIPP model-based framework

The aim of this study is to evaluate the undergraduate curriculum of a nursing program in accordance with nursing students' and instructors' opinions by using the Context, Input, Process, and Product (CIPP) model. This is a descriptive study which was conducted between September 2017 and July 2018 with 448 students and 82 instructors of a faculty of nursing. The Student and Instructor Information Form and Nursing Undergraduate Curriculum Evaluation Form (NUCEF) were used in order to collect data. The NUCEF consists of 50 items under four sub-dimensions called the Context, Input, Process and Product. The obtained data were analyzed using the SPSS 20.0 program. The frequency, percentage, mean, and standard deviation tests were used in the data analysis. The level of satisfaction with the curriculum was found to be 4.47±2.09 for the students and 6.80±1.89 for the instructors. 42% of the students stated that they thought the program outcomes were not achieved, and 42.7% of the instructors stated they thought the program outcomes were partially achieved. When the distribution of responses of Context, Input, Process and Product sub-dimensions of the NUCEF was examined; the mean item score of the students was found to be between 2.27±1.15 and 3.83±1.06, and the mean item score of the instructors was found to be between 2.08±1.06 and 4.06±.72. Considering all the sub-dimensions of NUCEF, students think that nursing undergraduate curriculum is partially adequate, and instructors think that nursing undergraduate curriculum is adequate. To conclude, it is recommended that the current undergraduate curriculum be reviewed and regulated, continuous and systematic program evaluation and improvement studies be carried out, and program evaluation studies in nursing education be increased.

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Penerapan Baitul Arqam untuk Peningkatan Nilai Al Islam dan Kemuhammadiyah bagi Dosen Universitas Muhammadiyah Mataram

AKSIOLOGIYA Jurnal Pengabdian Kepada Masyarakat ◽

10.30651/aks.v3i2.1839 ◽

2019 ◽

Vol 3 (2) ◽

pp. 141

Author(s):

Ilham Ilham ◽

Arsyad Abdul Gani ◽

Rudi Arrahman

Keyword(s):

Average Score ◽

Teaching Staff ◽

Input Process ◽

Self Identity ◽

Cognitive Aspect ◽

Real Movement ◽

Model Based ◽

Cipp Model ◽

Level Of Understanding

Baitul Arqam for lecturers is the principal regeneration training held to unify the vision and build understanding of ideological values, systems, and real movement for lecturers within the Muhammadiyah Universities. The Baitul Arqam training for lecturers of the Muhammadiyah University of Mataram is to build an understanding ideology of Muhammadiyah, strengthening self-identity as a Muhammadiyah community, increasing commitment and integrity in developing Muhammadiyah's charities and organizations, and to build an excellent and Islamic teaching staff of Muhammadiyah University of Mataram. Participants of Baitul Arqam are 32 lecturers. The methods used in this training are varied lectures, demonstrations, simulations, and discussions. For assessment the participants was using the Context, Input, Process and Product (CIPP) model based on cognitive, affective, and psychomotor aspects. Based on the analysis results, the average score of participants in the cognitive aspect was 75.7, affective 76.5 and psychomotor 74.13. Thus, the level of understanding of contract lecturers at Muhammadiyah University of Mataram was good. So, the applied of Baitul Arqam has effect in increasing the participants’ understanding towards Al Islam and Kemuhammadiyahan values for the lectures of Muhammadiyah University of Mataram.

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Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

Microscopy and Microanalysis ◽

10.1017/s1431927600028968 ◽

2001 ◽

Vol 7 (S2) ◽

pp. 578-579

Author(s):

David W. Knowles ◽

Sophie A. Lelièvre ◽

Carlos Ortiz de Solόrzano ◽

Stephen J. Lockett ◽

Mina J. Bissell ◽

...

Keyword(s):

Image Analysis ◽

Mammary Epithelial Cells ◽

Nuclear Organization ◽

Critical Role ◽

Quantitative Model ◽

Mammary Epithelial ◽

Cell Phenotype ◽

Proliferating Cells ◽

Mitotic Apparatus ◽

Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

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