The Entry Qualifications and Gender Analysis of Student Performance by using Artificial Intelligent Method

QR Code

The Entry Qualifications and Gender Analysis of Student Performance by using Artificial Intelligent Method

Entry qualifications are very important for the educational institution or educational providers to ensure quality graduate been produced. This paper presents the influence of gender, entry qualification and entry results towards the student performance in university. Total of 65 students were...

Full description

Bibliographic Details
Main Authors:	M. M., Noor, K., Kadirgama, M. M., Rahman, M. R. M., Rejab, M. S. M., Sani, M. Y., Taib
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	LB2300 Higher Education
Online Access:	http://umpir.ump.edu.my/id/eprint/1428/ http://umpir.ump.edu.my/id/eprint/1428/1/2009_P_MUCEET09_Gender_M.M.Noor_K.Kadirgama-Conference-.pdf

Similar Items

The Effect of Entry Qualifications and Gender Towards Student Performance
by: M. M., Noor, et al.
Published: (2009)

Student Performance Analysis Using Artificial Intelligent Method
by: M. M., Noor, et al.
Published: (2009)

Academic performance of preclinical medical students in association with gender, ethnicity and entry qualification
by: Mohamad Zainal, Nurul Hayati, et al.
Published: (2023)

Development of Genetic Algorithms and Multilayer Perceptron Neural Network (Mpnn) Model To Study The Student Performance InThermodynamics
by: K., Kadirgama, et al.
Published: (2009)

Exit Surveys Assessment of Bachelor Mechanical Engineering Programs at Universiti Malaysia Pahang
by: M. S. M., Sani, et al.
Published: (2009)

Artificial Intelligence Techniques for Machining Performance: a Review
by: M. M., Rahman, et al.
Published: (2010)

Artificial Intelligent Model to Predict Surface Roughness in Laser Machining
by: M. M., Noor, et al.
Published: (2009)

SEGi students graduate reputable qualification
Published: (2009)

Education Reform Model at Faculty of Mechanical Engineering, Universiti Malaysia Pahang
by: M. M., Noor, et al.
Published: (2000)

Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent
by: M. M., Noor, et al.
Published: (2009)

Artificial Intelligent Approach for Machining Titanium Alloy in a Nonconventional Process
by: Khan, Md. Ashikur Rahman, et al.
Published: (2013)

Refining the terminology of pre-higher education students: a quantitative study of entry qualifications, academic performance and family background / Imelia Laura Daneil, Anealka Aziz and Tang Howe Eng
by: Daneil, Imelia Laura, et al.
Published: (2020)

Performance Analysis of a Domestic Refrigerator in Malaysia using Experimental Method
by: M. Y., Taib, et al.
Published: (2009)

Optimizing the pedagogical impact of Learning Modality-based Learning Object Using Artificial Intelligence
by: Kaur, Abtar, et al.
Published: (2006)

A CASE STUDY OF STUDENT PERFORMANCE IN ELECTRIC CIRCUIT 2 SUBJECT
by: Zaiton , A.M., et al.
Published: (2011)

Quantitative Assessment Of Bachelor Mechanical Engineering Programs By Senior Exit Surveys At Universiti Malaysia Pahang
by: M. S. M., Sani, et al.
Published: (2009)

Artificial Intelligence Model to Predict Surface Roughness of Ti-15-3 Alloy in EDM Process
by: Khan, Md. Ashikur Rahman, et al.
Published: (2011)

Specification and prediction of nickel mobilization using artificial intelligence methods
by: Gholami, Raoof, et al.
Published: (2011)

USM RESEARCH ENTRIES IN HIGH-IMPACT JOURNALS STAMP THEIR MARK ON THE WORLD STAGE
by: MPRC, Pusat Media & Perhubungan Awam
Published: (2016)

Intelligent Active Force Control Methods Of A Biped Robot
by: Kwek, Lee Chung
Published: (2003)

Transferable skills of engineering students and lecturers at universities in Indonesia and Malaysia
by: Setiawan, A., et al.
Published: (2017)

SPM indisputably an essential qualification
by: The Sun, .
Published: (2024)

Assessment of the impacts of artificial intelligence (AI) on intercultural communication among postgraduate students in a multicultural university environment
by: Sarwari, Abdul Qahar, et al.
Published: (2024)

Open Entry mechanism a boost for students
Published: (2009)

Artificial intelligence model to predict surface roughness of Ti-15-3 alloy in EDM process
by: Khan, Md. Ashikur Rahman, et al.
Published: (2011)

Surface Roughness Prediction Model of 6061-T6 Aluminium Alloy Machining Using Statistical Method
by: K., Kadirgama, et al.
Published: (2009)

Design of CF for Automotive Body Parts Based on Artificial Intelligent
by: Bastian Wibar, Momang, et al.
Published: (2014)

Structural damage identification employing hybrid intelligence using artificial neural networks and vibration-based methods
by: S. Hakim, S. J., et al.
Published: (2022)

Students' 'Uses and Gratification Expectancy' conceptual framework for e-learning resources.
by: Mondi, M., et al.
Published: (2007)

College students protesting alleged lack of qualification MQA
by: Makkal, Osai
Published: (2017)

College students protesting alleged lack of qualification MQA
by: Makkal, Osai
Published: (2017)

Exploring the Use of Artificial Intelligence-based Technology to Enhance Creativity in ESL Speaking Classroom
by: Hazwani, Hassim, et al.
Published: (2023)

The Development And Construct Validation Of The Mathematics Proficiency Test For 14-Year-Old Students
by: Khairani*, Ahmad Zamri, et al.
Published: (2011)

Preparing students' entry into top universities
Published: (2010)

Efficacy Of Cooperative Learning Among Malaysian Secondary School Students
by: Cheah , Lef Ngan, et al.
Published: (1998)

Study Of Air Fuel Ratio On Engine Performance Of Direct Injection Hydrogen Fueled Engine
by: M. M., Rahman, et al.
Published: (2008)

Students and educators attitudes towards the use of M-learning: gender and smartphone ownership differences
by: Al-Emran, Mostafa, et al.
Published: (2019)

Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping
by: Song, Yongze, et al.
Published: (2023)

Linear Static Response of Suspension Arm based on Artificial Neural Network Technique
by: M. M., Noor, et al.
Published: (2011)

Artificial intelligence - A tool for thermal design of cooling towers
by: Mohiuddin, A. K. M.
Published: (2003)