Evaluating quality and reliability of final examination questions for MAT0144 using rasch model

The construction of the final examination questions based on the proper guideline such as according to course learning outcomes (CLO) will help in measuring students’ abilities based on comprehensive cognitive skills. A well-constructed question on the final examination should be suitable for the intended level of knowledge. In this study, the results from final examination Statistics, MAT0144 taken by Biological Module students in Semester 3, 2021/2022 were analysed using the Rasch Model. It is a process of statistically examining both the test questions and the students’ answer to evaluate the quality and reliability of the test item and the examination paper as a whole. The items in the examination paper were studied and items that did not meet expectations were identified. The best test item discriminates between those students who perform well on the examination and those who do not. The items on the equal interval scale (logit) must keep their relative difficulty regardless the ability of the students that challenges the item. According to the analysis, the overall quality and reliability of the examination questions constructed were relatively good and calibrated with the students' learned ability and suitable for the intended students

Evaluating quality and reliability of final examination questions for MAT0144 using rasch model

The construction of the final examination questions based on the proper guideline such as according to course learning outcomes (CLO) will help in measuring students’ abilities based on comprehensive cognitive skills. A well-constructed question on the final examination should be suitable for the intended level of knowledge. In this study, the results from final examination Statistics, MAT0144 taken by Biological Module students in Semester 3, 2021/2022 were analysed using the Rasch Model. It is a process of statistically examining both the test questions and the students’ answer to evaluate the quality and reliability of the test item and the examination paper as a whole. The items in the examination paper were studied and items that did not meet expectations were identified. The best test item discriminates between those students who perform well on the examination and those who do not. The items on the equal interval scale (logit) must keep their relative difficulty regardless the ability of the students that challenges the item. According to the analysis, the overall quality and reliability of the examination questions constructed were relatively good and calibrated with the students' learned ability and suitable for the intended students

Mathematics interest and self- esteem: a study on gender differences among Pre-University students

Conference on Future and Sustainable Education (CFSE 2022) A Study on Mathematics Interest And Self Esteem By Gender And Module Among Pre-University Students Mohd Nazim Mat Nawi 1,*, Norlaili Md Saad1 , Suraya Hassan1 , Nurfatihah Mohamad Hanafi1 1Department of Mathematics, Centre for Foundation Studies, International Islamic University of Malaysia, Gambang Campus, 26300 Gambang, Pahang, Malaysia *Corresponding author: [email protected] Abstract. Learning is energized by interest, which is an important motivating factor that directs academic and professional paths and is crucial for academic success. Thus, mathematics interest is critical in motivating students to achieve well in any mathematical course. Self-esteem is yet another important element that contributes to successful academic achievement. The aim of the study is to examine the gender differences among pre-university based on mathematics interest and self-esteem. Purposive sampling technique was used to select a sample of 508 students from 1600 Centre for Foundation Studies (CFS), International Islamic University Malysia (IIUM) sciences students who are taking mathematics in semester 1. 2022/2023. The instrument used was Academic Interest Scale for Adolescents (AISA), which measures interest in Mathematics, and the Rosenberg Self-Esteem Scale, which measures self-esteem. According to the findings, there is almost moderate, direct and positive association between Mathematics interest and self-esteem. Males scored highly on self-esteem compared to female adolescents, indicating that there are considerable gender disparities in this area. Keywords. Pre-university programme; Mathematics interest; Self-esteem; Gender biases

Construction of an item bank using Rasch Analysis

An item bank is a large collection of high-quality test items that have been analysed and systematically stored in a computer, making them easily accessible to exam setters. The purpose of this study was to develop a new item bank and to assess the validity and reliability of the final examination paper for a Statistics course taken by 344 students. The course included 7 structured questions, divided into 21 items. Rasch analysis was used to analyse the data, linking all item difficulties and students' measured abilities on the same linear scale. The results showed that the Statistics course was unidimensional, with a Cronbach’s alpha value of 0.90, item and person separation greater than 2, and person and item reliability of 0.87 and 0.99, respectively. Nineteen items were found to fit the measurement model and were stored in the item bank, while two items were found to be misfits and require revision. In summary, a well-developed item bank can be extremely beneficial to exam setters by making test construction easier, faster, and more efficient, resulting in higher quality tests

Evaluating quality and reliability of final examination questions for MAT0144 using Rasch model

The construction of the final examination questions based on the proper guideline such as according to course learning outcomes (CLO) will help in measuring students’ abilities based on comprehensive cognitive skills. A well-constructed question on the final examination should be suitable for the intended level of knowledge. In this study, the results from final examination Statistics, MAT0144 taken by Biological Module students in Semester 3, 2021/2022 were analysed using the Rasch Model. It is a process of statistically examining both the test questions and the students’ answer to evaluate the quality and reliability of the test item and the examination paper as a whole. The items in the examination paper were studied and items that did not meet expectations were identified. The best test item discriminates between those students who perform well on the examination and those who do not. The items on the equal interval scale (logit) must keep their relative difficulty regardless the ability of the students that challenges the item. According to the analysis, the overall quality and reliability of the examination questions constructed were relatively good and calibrated with the students' learned ability and suitable for the intended students

Development of an item bank for statistics course using Rasch Analysis

Item bank is a large collection of good test items which their quality is analysed and systematically stored in a computer so that they are accessible to exam setters. The purpose of this study is to develop a new item bank and to measure the validity and reliability of final examination paper for Statistics course. There were 344 students taking this course which comprises 7 structured questions and subdivided into 21 items. The data were analysed using Rasch analysis so that all the item difficulties were linked on the same linear scale along with the students’ measured ability. The results showed that the Statistics course is unidimensional, Cronbach’s alpha value of 0.90, item and person separation more than 2, and person and item reliability of 0.87 and 0.99 respectively. Nineteen items were found to be fitted the measurement model and stored in the item bank while there are two items suggested to be misfit and need to be revised. To summarise, a well-developed item bank can be extremely beneficial to exam setters because it can assist test construction easier, faster, and more efficient. As a result, the test's quality should be higher than it would be without an item bank

Mathematics Learning Inventory (MLI)

Mathematics Learning Inventory: Early Indicator Based on Mathematics Interest & Self Esteem Mohd Nazim Mat Nawi * , Balqis Hisham, Norlaili Md Saad, Suraya Hassan, Nurfatihah Mohamad Hanafi, Juhaidah Hairom Department of Mathematics, Centre for Foundation Studies, International Islamic University of Malaysia, Gambang Campus, 26300 Gambang, Pahang, Malaysia *Corresponding author: [email protected] ABSTRACT One of the most significant subjects taught worldwide from preschool through university level is mathematics. The students’ interest is considered as a vital aspect affecting involvement and success in this subject. In addition, self-esteem also has been seen as an important factor in learning mathematics. Therefore, mathematics interest and self-esteem are two critical elements that contribute to mathematics achievement. Besides their SPM result, there is insufficient indicator to identify low achiever students. Hence, the innovation from this study is an indicator called Mathematics Learning Inventory (MLI) which consists of google form and score excel template. Based on the results from the inventory, we can identify which students need consultation related to the course based on the score. Concurrently, the system will notify the instructor to provide intervention procedures in preparing them for the formative and the summative assessment for that subject. This MLI can be introduced and utilized by all institutions which offered pre-university programme. This study will use purposive sampling technique to select a sample of 312 sciences students from Centre for Foundation Studies (CFS), International Islamic University Malaysia (IIUM) who are taking Mathematics 1 (MAT0114) subject in semester 1, 2022/2023. Academic Interest Scale for Adolescents (AISA) is the instrument used in order to measure Mathematics interest whereas Rosenberg Self�Esteem Scale is used to measure self-esteem. Keywords. Pre-university programme; Mathematics interest; Self-esteem; Mathematics Learning Inventory (ML

Evaluating perceived performance and behavioral intentions of student taking nursing program in CFS, IIUM

Nursing shortages issue has become primary concern of the hospitals and clinics around the world. Among the initiative of the government is to increase the intake of students to enroll the Nursing (NUS) programme. However, the student’s performance is quite worrying. Performance is always related to competency, which refers to the characteristics that underlie behaviour which describes motives, personality, self-concept, and values of knowledge. Thus, it is essential to have a suitable instrument to measure the perceived performance towards students. This present study was designed to achieve twofold purpose that is to explore on the one hand the relationship between knowledge, skill, attitude, and value (KSAV) and perceived performance, and on the other hand the behavioural intention of for Nursing (NUS) student specifically to complete their study. This study was conducted by Chemistry Department that involved NUS students of Centre for Foundation Studies, International Islamic University Malaysia (CFS, IIUM). Analysis was performed using descriptive analysis and partial least square structural equation modelling (PLS-SEM) based on the KSAV model. Findings revealed that knowledge, skill, attitude and value give significant impact towards perceived performance of NUS student and influenced the behavioural intention of student to complete this program. Additionally, this study is expected to reveal about the learning needs and can contribute to a new measure of designing the curriculum involving Nus student in CFS, IIUM