Early Warning Mechanism of Interactive Learning Process Based on Temporal Memory Enhancement Model

Autor/inn/en	Xia, Xiaona; Qi, Wanxue
Titel	Early Warning Mechanism of Interactive Learning Process Based on Temporal Memory Enhancement Model
Quelle	In: Education and Information Technologies, 28 (2023) 1, S.1019-1040 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Xia, Xiaona)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-022-11206-1
Schlagwörter	Foreign Countries; Identification; Interaction; Learning Processes; Electronic Learning; Data Collection; Data Use; Memory; Models; Open Universities; Networks; United Kingdom + Suchen Sie Ihr Suchwort? Ausland; Identifikation; Identifizierung; Interaktion; Learning process; Lernprozess; Data capture; Datensammlung; Gedächtnis; Analogiemodell; Offene Universität; Großbritannien
Abstract	Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be improved. In particular, how to apply the massive data to achieve data-driven early warning needs further research. This study firstly mines the temporal series of learning behavior features, the corresponding data is collected from one online learning platform of The UK Open University, the massive data obtained from the platform have been desensitized, disclosed and shared, which might ensure the comparison and verification of research results. Secondly, we design a early warning mechanism based on temporal memory enhancement model. Through a large number of data training and testing, this method is useful to the analysis of learning behavior features, and has strong effectiveness and reliability. Thirdly, the decision and intervention mechanism are mined and predicted. The whole work is of great significance to the early warning mechanism of interactive learning process, which has strong theoretical value and practical significance. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01