Bandingkan metode

	Kurva Pembelajaran (Hukum Pangkat Praktik)	Penelusuran Pengetahuan
Bidang	Analitik Pendidikan	Analitik Pendidikan
Keluarga	Regression model	Machine learning
Tahun asal	1936	1994
Pencetus	Theodore Wright	Albert Corbett & John Anderson
Tipe	Power-law regression model	Probabilistic student modeling
Sumber perintis	Wright, T. P. (1936). Factors affecting the cost of airplanes. Journal of the Aeronautical Sciences, 3(4), 122–128.	Corbett, A. T., & Anderson, J. R. (1994). Knowledge tracing: Modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction, 4(4), 253–278.
Alias	Power Law of Practice, Experience Curve, Wright's Law, Öğrenme Eğrisi	BKT, Bayesian Knowledge Tracing, Deep Knowledge Tracing, Bilgi İzleme
Terkait	3	3
Ringkasan	The learning curve models how performance improves predictably as cumulative experience accumulates. Formalized by Theodore Wright in 1936 using aircraft manufacturing data, it expresses the relationship between the number of practice trials (or production units) and the time or cost per unit as a power-law function. It is widely applied in educational psychology, industrial engineering, health professions training, and human factors research whenever repeated task execution is the mechanism of skill acquisition.	Knowledge Tracing (KT) is a student-modeling technique that estimates, at each moment in time, the probability that a learner has mastered a target knowledge component. Introduced by Corbett and Anderson in 1994, the classical Bayesian Knowledge Tracing (BKT) model treats skill acquisition as a two-state Hidden Markov Model driven by four interpretable parameters: prior knowledge, learning rate, slip, and guess. Deep variants (DKT, DKVMN, AKT) later replaced HMMs with recurrent and transformer architectures.