IRT based information processing method and device
An information processing method and theoretical technology, applied in the field of IRT-based information processing methods and devices, can solve problems such as low accuracy and low efficiency, and achieve the effect of improving model efficiency and estimation accuracy
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Embodiment 1
[0024] figure 1 A schematic flowchart of an IRT-based information processing method provided in Embodiment 1 of the present invention, the method can be executed by an IRT-based information processing device, wherein the device can be implemented by software and / or hardware, and can generally be integrated in adaptive learning Among the terminals in the system, the terminal may be a terminal such as a personal computer or a server, or may be a mobile terminal such as a tablet computer or a smart phone, which is not specifically limited in this embodiment of the present invention. Such as figure 1 As shown, the method includes:
[0025] Step 110, obtaining a preset number of answering information samples of the answerers on the target question bank.
[0026] In this embodiment, the target question bank and the preset number of answerers can be selected according to actual needs. For example, it is possible to obtain a sample of the answer information of students in a class a...
Embodiment 2
[0058] figure 2 It is a schematic flow chart of an IRT-based information processing method provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. In this embodiment, the topic information of each topic in the target question bank is After estimation, related steps of pushing questions to answerers are also added.
[0059] Specifically, the method of this embodiment includes the following steps:
[0060] Step 210, acquiring a preset number of answering information samples of the target question bank.
[0061] Step 220 , based on the assumption that each answerer's answer to the question is an independent event, determine the frequency weight of the corresponding question in the target question bank being answered correctly by all the answerers with preset learning ability.
[0062] Step 230: Substituting the frequency weight into the preset estimation model to obtain the target estimation model.
[00...
Embodiment 3
[0090] image 3 A structural block diagram of an IRT-based information processing device provided in Embodiment 3 of the present invention. The device can be implemented by software and / or hardware, and can generally be integrated into a terminal in an adaptive learning system. The terminal can be a personal computer or A terminal such as a server may also be a mobile terminal such as a tablet computer or a smart phone, which is not specifically limited in this embodiment of the present invention. Such as image 3 As shown, the device includes an answer sample acquisition module 31 , a frequency weight determination module 32 , a frequency weight substitution module 33 and an information estimation module 34 .
[0091] Among them, the answer sample acquisition module 31 is used to obtain the answer information samples of the preset number of answerers about the target question bank; the frequency weight determination module 32 is used to assume that the answers to the questio...
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