Log in

Relevant bibliographies by topics / Ebbinghaus Forgetting Curve

Contents

Journal articles
Book chapters
Conference papers

Academic literature on the topic 'Ebbinghaus Forgetting Curve'

Author: Grafiati

Published: 5 June 2025

Last updated: 26 June 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Ebbinghaus Forgetting Curve.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Ebbinghaus Forgetting Curve"

1

Murre, Jaap M. J., and Joeri Dros. "Replication and Analysis of Ebbinghaus’ Forgetting Curve." PLOS ONE 10, no. 7 (2015): e0120644. http://dx.doi.org/10.1371/journal.pone.0120644.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Peng, Li, Xiao-yang Yu, Liu Yang, and Zhang Ting-ting. "Crowdsourcing Fraud Detection Algorithm Based on Ebbinghaus Forgetting Curve." International Journal of Security and Its Applications 8, no. 1 (2014): 283–90. http://dx.doi.org/10.14257/ijsia.2014.8.1.26.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Rhomadonah, Siti Aliyah, Muhammad Rizki Abdurrahman, Muhamad Dodi Bokasa, Ihsan Hidayat, Mardhiyah Khoirunnisa, and Alla Asmara. "Analisis Impostor Syndrome dalam Aspek Religiositas terhadap Waqf Behavior Mahasiswa IPB dengan Pendekatan Ebbinghaus Forgetting Curve." AL-MUZARA'AH 11, no. 2 (2023): 187–99. http://dx.doi.org/10.29244/jam.11.2.187-199.

Full text

Abstract:

In the context of productive waqf development in Indonesia, especially at Bogor Agricultural University (IPB), this research is rooted in the high potential of waqf followed by the tendency of students to contribute. With the Indonesian Waqf Board (BWI) as the main mover and IPB as an educational institution that acts as a nazir, increasing waqf literacy has had an impact on people's anxiety about post-life in the world, motivating them to actively waqf. Furthermore, this study links the phenomenon of Impostor Syndrome with the Ebbinghaus Forgetting Curve, highlighting the psychological and cognitive role in the retention of waqf-related information. This research uses a mixed method, namely quantitative derived from the results of CIPS and STAI tests of respondents to identify impostor syndrome and power function decline to find the new ebbinghaus forgetting curve. The qualitative method carried out is derived from interviews with key persons. Through a focus on IPB students, this study aims to understand how Impostor Syndrome feelings can affect aspects of religiosity and student waqf contributions, with the hope that the results can form emotionally stable, sincere, and balanced waqf behavior in achieving life balance.

APA, Harvard, Vancouver, ISO, and other styles

4

Li, Taoying, Linlin Jin, Zebin Wu, and Yan Chen. "Combined Recommendation Algorithm Based on Improved Similarity and Forgetting Curve." Information 10, no. 4 (2019): 130. http://dx.doi.org/10.3390/info10040130.

Full text

Abstract:

The recommendation algorithm in e-commerce systems is faced with the problem of high sparsity of users’ score data and interest’s shift, which greatly affects the performance of recommendation. Hence, a combined recommendation algorithm based on improved similarity and forgetting curve is proposed. Firstly, the Pearson similarity is improved by a wide range of weighted factors to enhance the quality of Pearson similarity for high sparse data. Secondly, the Ebbinghaus forgetting curve is introduced to track a user’s interest shift. User score is weighted according to the residual memory of forgetting function. Users’ interest changing with time is tracked by scoring, which increases both accuracy of recommendation algorithm and users’ satisfaction. The two algorithms are then combined together. Finally, the MovieLens dataset is employed to evaluate different algorithms and results show that the proposed algorithm decreases mean absolute error (MAE) by 12.2%, average coverage 1.41%, and increases average precision by 10.52%, respectively.

APA, Harvard, Vancouver, ISO, and other styles

5

Huang, Yanbiao, Bo Fu, Yujing Lai, and Yujie Yao. "Design and Implementation of Memory Assistant Based on Ebbinghaus Forgetting Curve." IOP Conference Series: Earth and Environmental Science 687, no. 1 (2021): 012187. http://dx.doi.org/10.1088/1755-1315/687/1/012187.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Yang, Songlin, and Min Zhang. "Application of Brain Neural Network in Personalized English Education System." International Journal of Emerging Technologies in Learning (iJET) 13, no. 10 (2018): 15. http://dx.doi.org/10.3991/ijet.v13i10.9488.

Full text

Abstract:

The Personalized Education System (PES) provides appropriate counseling pro-gram as per the different demands and the natures of learners. Its education quali-ty depends on the individuality to a great extent. The Brain Neural Network (BNN) can automatically analyze the learners’ profiles from their feedback data. In light of the above, this paper analyzes the forgetting curve of the learners in the system by building the brain neural network. Take the word memory in English learning as a study case. This curve will help customize the learning content for those learners precisely to hit their strides with a new high-rise personalized edu-cation. Experiment bears out that the forgetting curve generated by the BNN more adapts to the learner's memory law than the traditional universal Ebbinghaus memory curve. The new memory curve makes it possible to improve the effect of PES more effectively and the teaching principle more scientifically.

APA, Harvard, Vancouver, ISO, and other styles

7

Xiao-Ming, Shi, and Zhang Jie-Fang. "Agreement Dynamics of Memory-Based Naming Game with Forgetting Curve of Ebbinghaus." Chinese Physics Letters 26, no. 4 (2009): 048901. http://dx.doi.org/10.1088/0256-307x/26/4/048901.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Andressa, da Silva Costa Belo *1 Luciano Vieira Lima. "FAMILY AND SOCIAL REINTEGRATION GAMIFICATION FOR THE ELDERLY." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 7 (2017): 864–68. https://doi.org/10.5281/zenodo.834567.

Full text

Abstract:

This article presents a set of design in Quiz format for Smartphones set up for the gamification of elderly Effective Learning Reinforcement, in order to reintegrate them to their family and social environment. This study is based on theories such as the ‘Forgetting Curve´ created by Hermann Ebbinghaus and the teaching-learning theories named ‘Structured Knowledge Maps’, ‘Effective Exponential Memory Method in Binary Base’ and ‘Effective Memory Curve. The main goal of this article is to demystify the vision that several people have of elderly, a vision of inability, disinformation, disrespect, contempt, etc. and insert a game that can be used by the entire family in order to help the elderly .

APA, Harvard, Vancouver, ISO, and other styles

9

Hu, S. G., Y. Liu, T. P. Chen, et al. "Emulating the Ebbinghaus forgetting curve of the human brain with a NiO-based memristor." Applied Physics Letters 103, no. 13 (2013): 133701. http://dx.doi.org/10.1063/1.4822124.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Jiang, Yanhuang, Qiangli Zhao, and Yutong Lu. "Adaptive Ensemble with Human Memorizing Characteristics for Data Stream Mining." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/874032.

Full text

Abstract:

Combining several classifiers on sequential chunks of training instances is a popular strategy for data stream mining with concept drifts. This paper introduces human recalling and forgetting mechanisms into a data stream mining system and proposes a Memorizing Based Data Stream Mining (MDSM) model. In this model, each component classifier is regarded as a piece of knowledge that a human obtains through learning some materials and has a memory retention value reflecting its usefulness in the history. The classifiers with high memory retention values are reserved in a “knowledge repository.” When a new data chunk comes, most useful classifiers will be selected (recalled) from the repository and compose the current target ensemble. Based on MDSM, we put forward a new algorithm, MAE (Memorizing Based Adaptive Ensemble), which uses Ebbinghaus forgetting curve as the forgetting mechanism and adopts ensemble pruning as the recalling mechanism. Compared with four popular data stream mining approaches on the datasets with different concept drifts, the experimental results show that MAE achieves high and stable predicting accuracy, especially for the applications with recurring or complex concept drifts. The results also prove the effectiveness of MDSM model.

APA, Harvard, Vancouver, ISO, and other styles

More sources

Book chapters on the topic "Ebbinghaus Forgetting Curve"

1

Hughes, David W. "Ebbinghaus and the Forgetting Curve: Masiering Acquisition Retention and Recall of Information." In Re-examining Success. Routledge, 2025. https://doi.org/10.4324/9781041056690-12.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Ebbinghaus Forgetting Curve"

1

Zeng, Liren, and Ling Lin. "An Interactive Vocabulary Learning System Based on Word Frequency Lists and Ebbinghaus' Curve of Forgetting." In 2011 Workshop on Digital Media and Digital Content Management. IEEE, 2011. http://dx.doi.org/10.1109/dmdcm.2011.71.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Chun, Bo Ae, and Hae Ja Heo. "The effect of flipped learning on academic performance as an innovative method for overcoming ebbinghaus' forgetting curve." In ICIET '18: 2018 6th International Conference on Information and Education Technology. ACM, 2018. http://dx.doi.org/10.1145/3178158.3178206.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!