Istraživanje o procjeni pedagoškog i predmetnog tehnološkog znanja predavača na Učiteljskom fakultetu Istočnog mediteranskog sveučilišta u Cipru

The use of technology in instruction has brought about different perceptions. The need to know how teachers integrate technology in instruction has brought about different views. Therefore, this study mainly seeks to understand these views on lecturers’ technological pedagogical content knowledge (TPACK) perceptions, as it examines how their views differ according to gender, employment status, department and the state of in-service training oriented towards the use of technology. In order to achieve the above stated aim, the researcher statistically examined Eastern Mediterranean University (EMU) Faculty of Education lecturers’ TPACK perceptions. In this research, a TPACK survey instrument was administered to 53 lecturers, and a questionnaire was used to ascertain their perception levels across the seven TPACK dimensions. Mean, standard deviation, percentage, frequency and non-parametric tests (Mann-Whitney U test and Kruskal-Wallis test) were used for data analysis. The study reveals that lecturers’ perceptions ofTPACK were significantly high across all knowledge dimensions and there were statistically significant differences on how lecturers viewed TPACK according to the above listed variables. These differences occurred in Technological Knowledge (TK) and Pedagogical Content Knowledge (PCK) according to gender; Technological Knowledge (TK) and Technological Pedagogical Knowledge (TPK) according to employment status; Technological Knowledge (TK), Technological Pedagogical Knowledge (TPK), and Technological Pedagogical Content Knowledge (TPACK) according to department and Pedagogical Content Knowledge (PCK) according to in-service training.Upotreba tehnologije u nastavi rezultirala je različitim stavovima. Potreba za spoznajama o tome kako nastavnici integriraju tehnologiju u nastavu stvorila je različita gledišta. Stoga se ovim istraživanjem pokušavaju razumjeti gledišta o procijenjenom pedagoškom i predmetnom tehnološkom znanju (engl. TPACK) predavača, jer se u njemu ispituje kako se ta gledišta razlikuju s obzirom na spol, vrstu zaposlenja, odsjek u kojem predaju i način stručnog usavršavanja na radu koje je usmjereno na upotrebu tehnologije. Da bi se postigao navedeni cilj, istraživač je statistički ispitao procijenjeno pedagoško i predmetno tehnološko znanje predavača na Učiteljskom fakultetu Istočnog mediteranskog sveučilišta. U ovom su istraživanju 53 predavača dobila instrument istraživanja o pedagoškom i predmetnom tehnološkom znanju, a anketa se koristila da bi se odredio stupanj njihova procijenjenog znanja o sedam dimenzija pedagoškog i predmetnog tehnološkog znanja. Srednje vrijednosti, standardna devijacija, postotak, frekvencija i neparametrijski testovi (Mann-Whitney U test i Kruskal-Wallis test) koristili su se pri analizi podataka. Istraživanje je pokazalo da je stupanj procijenjenog pedagoškog i predmetnog tehnološkog znanja predavača bio značajno visok u svim dimenzijama znanja. Utvrđene su statistički značajne razlike u tome kako predavači shvaćaju pedagoško i predmetno tehnološko znanje prema navedenim varijablama. Te su se razlike javile u tehnološkom znanju (TK) i pedagoško-predmetnom znanju (PCK) s obzirom na spol; u tehnološkom znanju (TK) i tehnološko-pedagoškom znanju (TPK) s obzirom na vrstu zaposlenja; u tehnološkom znanju (TK), tehnološko-pedagoškom znanju (TPK) i pedagoškom i predmetnom tehnološkom znanju (TPACK) s obzirom na odsjek u kojem predavači rade te u pedagoškom predmetnom znanju (PCK) s obzirom na stručno usavršavanje na radu

Dynamic performance evaluation of multi - state systems under non - homogeneous continuous time Markov process degradation using lifetimes in terms of order statistics

WOS: 000402457700005In multi-state modelling a system and its components have a range of performance levels from perfect functioning to complete failure. Such a modelling is more flexible to understand the behaviour of mechanical systems. To evaluate a system's dynamic performance, lifetime analysis of a multi-state system has been considered in many research articles. The order statistics related analysis for the lifetime properties of multi-state k-out-of-n systems have recently been studied in the literature in case of homogeneous continuous time Markov process assumption. In this paper, we develop the reliability measures for multi-state k-out-of-n systems by assuming a non-homogeneous continuous time Markov process for the components which provides time dependent transition rates between states of the components. Therefore, we capture the effect of age on the state change of the components in the analysis which is typical of many systems and more practical to use in real life applications

A new approach in the mean residual lifetime evaluation of a multi-state system

WOS:000640813200001Dynamic reliability measures are important characteristics for understanding the lifetime behaviour of multi-state systems. This study aims to analyze the mean residual lifetime (MRL) function for a one-unit three-state system. The system considered has just three states such as "0, 1, 2''. State "2'' and "1'' signify the perfect functioning and partially working states, respectively while state "0'' is the failure state. We let T-1 and T-2 be the lifetimes of the system spent at state "1'' and "2,'' respectively. We assess a particular performance characteristic, MRL, of this three-state system via conditional survival functions, when T-1 and T-2 are both independent and dependent. in case of independency, MRL functions are obtained and the results are discussed with reference to a case study. The effect of different distributions on the MRLs are also investigated in this case study. in case of dependency, on the other hand, the effect of dependency on MRL functions is especially underlined given that the system is at state "j'' (j= 1, 2) for for all t. To understand the time dependent behaviour of the related MRL functions, certain graphical illustrations are also presented

DYNAMIC RELIABILITY ANALYSIS OF A MULTI-STATE MANUFACTURING SYSTEM

WOS: 000473285300011Dynamic reliability analysis of binary systems has been widely studied in case of homogeneous continuous time Markov process assumption in the literature. In this study, we evaluate dynamic performance of a multi-state rotor line of electric motors manufacturing system under non-homogeneous continuous time Markov process (NHCTMP) degradation by using lifetime distributions of seven workstations within the system. By means of this degradation process assumption we capture the effect of age on the state change of components in the analysis by means of time dependent transition rates between states of the workstations. Essentially this is typical of many systems and more practical to use in real life applications. The working principle is based on a three state structure. If all the machines within each workstation work, the workstation is defined as working with the full performance. Whenever at least one machine fails within each workstation, then the workstation is defined as working with partial performance. If all the machines in the workstation fail then the workstation is defined as failed. The lifetime properties of the workstations under NHCTMP assumption have been studied for this three-state structure of the workstations. The workstations are all working independently and nonidentically from each other and they are connected in series within the system. We especially performed an extensive application study based on the lifetime data regarding the seven workstations within a manufacturing system. Dynamic reliability results are also discussed for the system structure. Some performance characteristics are developed for both workstations and the system as well. Numerical results far the performance characteristics of those workstations and the system are provided and supported with some graphical illustrations

Mean residual lifetime assessment approach for a multi-state standby system

In this paper, a new MRL assessment approach for a multi-state standby system is considered. The three-state system is backed up with a binary cold standby unit. Given that the system is at a specific state at time t, obtaining the MRL is worth considering in conducting the maintenance and repair plans of the system. For different degradation rates and time points, MRL results are examined. An HCTMP is considered for the degradation. Therefore, when the system is observed to be at its perfect state, the MRL decrease with an increase in all the failure rates of the system. However, when the system is observed to be at its partial state, the MRL is not affected by the increase in the failure rate pertained to the perfect state. The MRL when the system has known to be failed before time t and backed up with the standby unit increases with the time increase whereas the MRL when the system is at its perfect(or partial) state is constant when time increases. Moreover, cost evaluation of the system is analyzed. The results are supported with numerical examples and graphical representations