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With the rapid advancement of education, personalized learning has gained considerable attention in recent years. Learning path plays an important role in this area and has attracted great concern. Many generating mechanisms have been proposed from different perspectives for assisting learning. Some methods focus on learners’ interest, while some methods pay close attention to learning styles. This article proposes a new learning path generating method named learning diagnosis–learning path (LD–LP), which is based on knowledge structure and learning diagnosis. Different from the previous work, it takes knowledge relation, learner's ability, learning time, and repetition into account. The difficulty of knowledge provided to students will be adjusted according to students’ academic achievement and learning time adaptively. The system generates personalized learning path by the sequence of learning knowledge. Students who were majoring in mathematics were invited to participate in the experiment. Experimental result demonstrates that LD–LP works effectively and it has high adaptivity and positive feedback.

An electrochemical aptamer-based sensor, enabling in vivo measurements of drug concentrations directly in the bladder of living rats under pH-variable conditions, was developed employing a π-extended tetrathiafulvalene (exTTF) as redox reported.

Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skil...

In this paper, compact Ni–W and Ni–W–Cr2O3 nanocomposite coatings were deposited on mild steel substrates by DC electrodeposition method. The surface morphology, elemental composition, and structure of the obtained coatings were investigated by scanning electron microscopy, energy dispersive spectrometer, and x-ray diffraction. The corrosion resistance was evaluated by potentiodynamic polarization (Tafel) and electrochemical impedance spectroscopy. It is shown that incorporation of Cr2O3 nanoparticles into amorphous Ni–W coating would transform its structure into crystalline and influence its properties. The microhardness of Ni–W–Cr2O3 nanocomposite coatings (717–764 HV0.1) is significantly bigger than that of Ni–W coating (687 HV0.1). In addition, with increase of Cr2O3 addition in the electroplating bath, a tendency of improvement in hardness and corrosion resistance performance is observed. Finally, an excellent Ni–W–Cr2O3 nanocomposite coating with a slightly lower resistance and much higher hardness compared with Ni–W coating is electrodeposited in the bath containing 20 g/L Cr2O3 nanoparticles.