I am a Prof in the field of Educational Research- Assessment and Statistics. I worked as the director of university performance measurement unit in a Saudi University, and the director of accreditation and quality assurance center at Yarmouk University- Jordan, and the director of admission and registration unit at two different public universities in Jordan.
I have been teaching courses in Educational Research, Statistics, Measurement, and Evaluation for Bachelor, Master, and Ph.D. students since I graduated from University of Alabama- USA in 2007.
I have several publications related to assessment and evaluation in higher education and program evaluation.
Position | Place | From | Up To |
Professor | Al Ain University- College of Education | September 2022 | Now |
Professor | Yarmouk University- College of Education- Department of Counseling and Educational PsychologyIrbid- Jordan | September 2015 | Now |
Associate professor | University of Dammam, KSA.Sabbatical Leave: Al-Hussein Bin Talal University/ Jordan | August 2014 | September 2015 |
Associate professor | College of Education/ Al-Hussein Bin Talal University/ Jordan | 26-8-2012 | 13-9-2014 |
Assistant professor | College of Education/ Al-Hussein Bin Talal University/ Jordan | 26-8-2007 | 25-8-2012 |
Ph.D Student at University of Alabama-USA | 15-8-2004 | 15-8-2007 | |
Full time lecturer | College of Education/ Al-Hussein Bin Talal University/ Jordan | 7-2-1998 | 15- 7-2004 |
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all.
This person’s work contributes towards the following SDG(s):
Published in: Open Education Studies
Feb 01, 2024
The current study aimed to examine the structural relationships between pre-service science teachers’ intention to teach and perceptions of the nature of science (NOS) and attitudes toward teaching science. The sample consisted of 206 pre-service science teachers from a major university in the United Arab Emirates who have bachelor’s degrees in science. Quantitative research methodology was used to study the structural relationships among pre-service science teachers’ intention to teach, perceptions of the NOS, and attitudes. Structural equation modeling using the Lavaan package was used to test these structural relationships. The results show that the relationships between the indigenous constructs (NOS) and the mediator constructs (DAS) can predict pre-service science teachers’ intention to teach science (p < 0.05).
Published in: European Journal of STEM Education
Jan 17, 2024
This study attempts to understand the source of variation in the Students’ Evaluation of Teaching (SET) of mathematics courses by comparing the data structure of engineering major students and mathematics major students’ datasets. The sample considered in this study consists of 644 students distributed into two majors: 237 mathematics students and 407 engineering students who filled out a 20-item SET questionnaire to rate the teaching practices of three different mathematics courses offered by the Department of Mathematics. The hypothesis tested in this study is: that variation in students’ perceptions of mathematics course teaching practices is different based on students’ majors (Mathematics versus Engineering). Measurement invariance (MI) analyses were used to examine the source of variation in the datasets and to compare engineering and mathematics students’ perceptions of the teaching effectiveness of mathematics courses. While the results of this study provide evidence of the SET validity, it was found that engineering students differently perceive three out of twenty of the SET questionnaire items when compared with mathematics major students.
Published in: International Journal of Statistics in Medical Research
Dec 06, 2023
Introduction: Many research studies have shown that students' evaluations of teaching(SET) are affected by different variables without testing the requirement of fair comparisons. These studies have not tested the measurement equivalency of SET surveys according to these variables. Measurement equivalency of SET refers to whether a SET survey is interpreted similarly across different groups of individuals (Variable Levels). Without evidence of measurement invariance across different variables under investigation, the SET ratings should not be compared across these variables and this is the goal of this study. Methods: Measurement Invariance analysis of SET survey was investigated using 1649 responses to SET of four different medical core courses offered by the College of Science and College of Medicine and from different levels. Results: The results showed the existence of teaching practices in the SET survey that are not equivalently loaded on its factor across the levels of targeted variables, and the college offered medical courses were a source of variation in basic medical science students’ evaluation of teaching effectiveness. On the other hand, teaching practices in the SET survey are equivalently loaded on its factor across course levels. Discussion: The study results showed that the SET of medical courses is comparable to the courses only taught by the College of Medicine. These results provide evidence that medical courses are different from other courses offered by other colleges. This means that comparing SET of the College of Medicine with other colleges and colleges of medicine needs to compare SET results at the college level only.
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