Relevant bibliographies by topics / Numeric traces and learning indicators

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Numeric traces and learning indicators'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Numeric traces and learning indicators"

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Gregory, Peter, and Alan Lindsay. "Domain Model Acquisition in Domains with Action Costs." Proceedings of the International Conference on Automated Planning and Scheduling 26 (March 30, 2016): 149–57. http://dx.doi.org/10.1609/icaps.v26i1.13762.

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This paper addresses the challenge of automated numeric domain model acquisition from observations. Many industrial and commercial applications of planning technology rely on numeric planning models. For example, in the area of autonomous systems and robotics, an autonomous robot often has to reason about its position in space, power levels and storage capacities. It is essential for these models to be easy to construct. Ideally, they should be automatically constructed. Learning the structure of planning domains from observations of action traces has produced successful results in classical p
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Batchakui, Bernabé, Thomas Djotio, Ibrahim Moukouop, and Alex Ndouna. "Object-Based Trace Model for Automatic Indicator Computation in the Human Learning Environments." International Journal of Emerging Technologies in Learning (iJET) 16, no. 21 (2021): 26. http://dx.doi.org/10.3991/ijet.v16i21.25033.

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This paper proposes a traces model in the form of an object or class model (in the UML sense) which allows the automatic calculation of indicators of various kinds and independently of the computer environment for human learning (CEHL). The model is based on the establishment of a trace-based system that encompasses all the logic of traces collecting and indicators calculation. It is im-plemented in the form of a trace database. It is an important contribution in the field of the exploitation of the traces of apprenticeship in a CEHL because it pro-vides a general formalism for modeling the tr
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Jędrzejec, Bartosz, and Krzysztof Świder. "Automatically conducted learning from textually expressed vacationers’ opinions." ITM Web of Conferences 21 (2018): 00024. http://dx.doi.org/10.1051/itmconf/20182100024.

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The automatically conducted consumers’ opinions investigation is one of the most interesting potential applications of text analytics. In our study we perform a two steps procedure of learning from the textually expressed reviews concerning hotel services offered by a travel company. In the first stage we accomplish the necessary Extract-Transform-Load process utilizing one of the available web portals and required language resources. In the second stage each of the suitably pre-processed opinions is “linguistically evaluated”, which results in a vector of numeric indicators characterizing its
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Yang, Linyi, Jiazheng Li, Ruihai Dong, Yue Zhang, and Barry Smyth. "NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (2022): 11604–12. http://dx.doi.org/10.1609/aaai.v36i10.21414.

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Financial forecasting has been an important and active area of machine learning research because of the challenges it presents and the potential rewards that even minor improvements in prediction accuracy or forecasting may entail. Traditionally, financial forecasting has heavily relied on quantitative indicators and metrics derived from structured financial statements. Earnings conference call data, including text and audio, is an important source of unstructured data that has been used for various prediction tasks using deep earning and related approaches. However, current deep learning-base
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Ozerova, G. P. "Usage of Learning Management System Web Analytics in Blended Learning Self-Study Evaluation." Vysshee Obrazovanie v Rossii = Higher Education in Russia 29, no. 8-9 (2020): 117–26. http://dx.doi.org/10.31992/0869-3617-2020-29-8-9-117-126.

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Learning Management System (LMS) analytics data is proposed to be used in developing algorithms for evaluating students’ self-studies. Development of such algorithms is relevant considering annual growth of disciplines that apply blended learning. In blended learning model selfstudy can be done online in LMS which makes it possible to analyze patterns how students interact with learning materials and perform exercises of various complexity. Different criteria and indicators are aggregated into numeric metrics that following designed methodology evaluates self-study performance of each student.
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Gunawan, G., Ahmad Harjono, Ni Made Yeni Suranti, Lovy Herayanti, and Nina Nisrina. "The impact of LMS-based mechanics course on the creativity of prospective physics teachers in the post-pandemic era: A quasi-experimental study." Journal of Infrastructure, Policy and Development 8, no. 11 (2024): 8644. http://dx.doi.org/10.24294/jipd.v8i11.8644.

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This quasi-experimental study examined the effect of a mechanics course delivered through a Learning Management System (LMS) on the creativity of prospective physics teachers at a teacher training college in Mataram, Indonesia. The study was conducted in the post-pandemic era. Using a pretest-posttest one-group design, the researchers evaluated changes in creativity across three domains: figural, numeric, and verbal. The results showed significant improvements in overall creativity, with the most critical gains observed in the figural domain. Further analysis revealed that fluency was the crea
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Mohssine, Bentaib, Aitdaoud Mohammed, Namir Abdelwahed, and Talbi Mohammed. "Adaptive Help System Based on Learners ‘Digital Traces’ and Learning Styles." International Journal of Emerging Technologies in Learning (iJET) 16, no. 10 (2021): 288. http://dx.doi.org/10.3991/ijet.v16i10.19839.

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Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle ..., are commonly and well used in e-education (e-learning). Most of theTechnology Enhanced Learning (TEL) focus on supporting teachers in the creation and organization of online courses. However, in general, they do not consider individual differences of each learner. In addition, they do not provide enough indicators which will help to track the learners.
 In this paper, we investigate the benefits of integrating learning styles in the Web-based educational systems. Also we are interested in the use of interact
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Juhaňák, Libor, Karla Brücknerová, Barbora Nekardová, and Jiří Zounek. "Goal Setting and Goal Orientation as Predictors of Learning Satisfaction and Online Learning Behavior in Higher Education Blended Courses." Studia paedagogica 28, no. 3 (2024): 39–58. http://dx.doi.org/10.5817/sp2023-3-2.

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 This study investigated how goal setting and goal orientation are related to student learning behavior and engagement in an online learning environment, and how learning behavior, goal setting, and goal orientation are related to student satisfaction with the course they are studying. A total of 882 students from 76 different courses participated in this study, which used both self-reported data from a questionnaire and indicators based on digital traces in an online learning environment. The results of multilevel regression analyses showed that student ability to set learning go
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Salihoun, Mohammed, Fatima Guerouate, Naoual Berbiche, and Mohamed Sbihi. "How to Assist Tutors to Rebuild Groups Within an ITS by Exploiting Traces. Case of a Closed Forum." International Journal of Emerging Technologies in Learning (iJET) 12, no. 03 (2017): 169. http://dx.doi.org/10.3991/ijet.v12i03.6506.

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Computer Supported Collaborative Learning (CSCL) is a new mode of teaching and one of the popular approaches for learning process. It allows virtual interactions between groups by providing tools such as: chat, internal email and discussion forums. One of the major problems caused by this learning process is the neglect and isolation of learners in groups, and usually is the cause of a heterogeneous group through social, cognitive or emotional ways. The method used is based on the exploitation of traces left on the online learning platform by learners and groups. The data collected from the en
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Yudha, Firma, and Alex Haris Fauzi. "Efektivitas Penggunaan Media Kartu Numerik pada Siswa Jenjang Prasekolah." Indonesian Journal of Mathematics and Natural Science Education 2, no. 1 (2021): 28–33. http://dx.doi.org/10.35719/mass.v2i1.56.

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Abstrak
 Pembelajaran di jenjang prasekolah lebih banyak bermain sambil belajar. Pembelajaran matematika juga dapat diterima anak dalam dunia penddikan pra sekolah, yaitu dengan cara mengenal numerik 1-10. Hal demikian dilakukan dengan menggunakan media kartu numerik secara klasikal. Jenis penelitian ini adalah deskriptif kualitatif dengan subjek penelitian anak-anak pra sekolah dhiva school dengan jumlah 18 anak. Dalam penelitian ini diketahui bahwa siswa pra sekolah mampu mengenal numerik, mampu menulis dan mampu mengurutkan numerik 1-10. efektifitas media kartu numerik, dengan mengguna
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Dissertations / Theses on the topic "Numeric traces and learning indicators"

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Ben, Soussia Amal. "Analyse prédictive des données d’apprentissage, en situation d’enseignement à distance." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0216.

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Pendant les dernières décennies, l'adoption de l'apprentissage en ligne a rapidement évolué et son utilisation a été encore plus poussée avec la pandémie de la COVID-19. L'objectif de ce mode d'enseignement est de garantir la continuité du processus d'apprentissage. Cependant, ce mode d'apprentissage connaît plusieurs défis, dont le plus répandu est les taux élevés d'échec. Ce problème est dû à de nombreuses raisons comme l'hétérogénéité des apprenants et la diversité de leurs comportements d'apprentissage, leur totale autonomie, le manque et/ou l'inefficacité du suivi pédagogique fourni. Par
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Ji, Min. "Exploiting activity traces and learners’ reports to support self-regulation in project-based learning." Thesis, Lyon, INSA, 2015. http://www.theses.fr/2015ISAL0032/document.

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L'Apprentissage Par Projet (APP) est une méthode d'enseignement orientée apprenant, qui leur permet de réaliser des projets sous forme d'enquêtes approfondies. L'APP offre aux apprenants la possibilité de planifier leur projet, de collaborer avec leurs pairs et de rechercher les ressources pour atteindre les objectifs du projet. Cependant, l'APP est difficile à mettre en œuvre avec succès du fait que les apprenants manquent souvent des compétences d'autorégulation pour suivre, réfléchir, gérer et évaluer les activités durant le projet. L'apprentissage autorégulé peut aider les apprenants à acq
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Books on the topic "Numeric traces and learning indicators"

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Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research, eds. Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research., eds. Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research, eds. Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research, eds. Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research., eds. Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research., eds. Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research, eds. Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research., eds. Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Clifford, Adelman, ed. Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Signs & traces: Model indicators of college student learning in the disciplines. Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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Book chapters on the topic "Numeric traces and learning indicators"

1

Chihab, Lamyaa, Abderrahim El Mhouti, and Mohammed Massar. "Using Learning Analytics Techniques to Calculate Learner’s Interaction Indicators from Their Activity Traces Data." In Lecture Notes on Data Engineering and Communications Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15191-0_48.

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Tatzl, Dietmar. "Systemic Autonomy as an Educational Factor for Learners and Teachers." In 9. The Answer is Learner Autonomy: Issues in Language Teaching and Learning. Candlin & Mynard ePublishing Limited, 2013. http://dx.doi.org/10.47908/9/4.

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This contribution attempts to introduce a systemic view of autonomy. The author argues that systemic autonomy depends on structures, procedures and regulations that are in force at organisations and that can either hinder or promote autonomy. The article reviews traces of systemic autonomy in the literature and develops a descriptive framework of the concept. It presents a scale containing nine indicators for measuring an institution’s degree of systemic autonomy, which teachers may easily apply to their own context. The article also includes recommendations for encouraging autonomy in restric
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Nelken, David. "Global Social Indicators, Comparison, and Commensuration: A Case Study of COVID Rankings." In The Global Community Yearbook of International Law and Jurisprudence 2020. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197618721.003.0083.

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Global social indicators, as a form of governance and soft regulation, can exert pressure for change and compliance through the way they compare and then rank the relative performance of states or other units. Is it reasonable to expect the comparisons they make in the process of carrying out such strategic exercises to be accurate and fair? In particular, how far can they, or should they, be required to be faithful to the requirement to “compare like with like”? This chapter first summarises some of the key features of global social indicators. It then goes on to analyse the differences (and
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Conference papers on the topic "Numeric traces and learning indicators"

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Tuns, Adrian-Ioan, and Adrian Spătaru. "Cloud Service Failure Prediction on Google’s Borg Cluster Traces Using Traditional Machine Learning." In 2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2023. http://dx.doi.org/10.1109/synasc61333.2023.00029.

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Djouad, Tarek, Alain Mille, Christophe Reffay, and Mohammed Benmohammed. "A New Approach Based on Modelled Traces to Compute Collaborative and Individual Indicators Human Interaction." In 2010 IEEE 10th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2010. http://dx.doi.org/10.1109/icalt.2010.21.

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Pantović, Danijela, and Nemanja Pantić. "THE FUTURE OF TOURISM REQUIRES AN ORIGIN: TRACES OF AN OLD CULTURAL POLICY IN VRNJAČKA BANJA." In Tourism International Scientific Conference Vrnjačka Banja - TISC. FACULTY OF HOTEL MANAGEMENT AND TOURISM IN VRNJAČKA BANJA UNIVERSITY OF KRAGUJEVAC, 2022. http://dx.doi.org/10.52370/tisc22179dp.

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The future of tourism is seen today as a key force in the process of globalization. When learning about culture, the origin of the destination is also very important, and the story of the destination is interesting if it has the history of a given culture. This paper generates short-term indicators of the development of the municipality of Vrnjačka Banja as a spa town in the Republic of Serbia with the largest market share. Apart from the fact that tourism is characterized by a highly global character and mass, it also creates knowledge about culture by connecting diferent parts of the world.
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Weng, Zhoutian, Shiqing Cheng, Qingkai Wang, Xinyang Guo, and Yang Wang. "Identification of Interwell Connectivity and Prediction of Oil Production Index in Fractured-Cave Oil Reservoirs." In GOTECH. SPE, 2025. https://doi.org/10.2118/224802-ms.

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Abstract Fractured-cave carbonate reservoirs are typically characterized by strong heterogeneity. Accurately identifying interwell connectivity and formulating appropriate development strategies are crucial for the effective exploitation of these reservoirs. This study establishes a set of comprehensive methods to address these challenges. Static data such as seismic, drilling, logging and mud logging data, as well as geological modeling results, are used to determine the types and distribution of reservoir bodies around wells. Based on dynamic data including production data, pressure, and tra
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