Search Results - "Structural learning theory"

فاعلية استخدام اسرتاتيجية هقرتحة قائوة علي التعلن البنائي يف تدريس الزياضيات يف تنوية التفكري الزياضي لدى تالهيذ الصف األول املتوسط

Authors: ٍييدي البالدي, محدي بً¹

Source: Journal of Education - Sohag University. Jun2019, Vol. 62, p74-105. 32p.

Analysing Structured Learning Behaviour in Massive Open Online Courses (MOOCs): An Approach Based on Process Mining and Clustering.

Authors: van den Beemt, Antoine Buys, Joos van der Aalst, Wil

Source: International Review of Research in Open & Distributed Learning. Nov2018, Vol. 19 Issue 5, p37-60. 24p. 7 Diagrams, 6 Charts, 7 Graphs.

Subject Terms: *Massive open online courses, *Structural learning theory, *Distance education, *Constructivism (Education), Process mining, Cluster analysis (Statistics)

MAVI 2021 special issue: The growing recognition of affect in mathematics education.

Authors: Andrà, Chiara Erens, Ralf Hatisaru, Vesife et al.

Source: International Journal of Mathematical Education in Science & Technology; Aug2023, Vol. 54 Issue 8, p1373-1379, 7p

Experimental comparisons with respect to the usage of the promising relations in EDA-based causal discovery.

Authors: Ko, Song Lim, Hyunki Ko, Hoon et al.

Source: Annals of Operations Research; Jun2018, Vol. 265 Issue 2, p241-255, 15p

Quick Summary - AuthorIT and TutorIT.

Authors: SCANDURA, JOSEPH M.¹ scandura@scandura.com

Source: Technology, Instruction, Cognition & Learning. 2018, Vol. 11 Issue 1, p39-49. 11p.

Subject Terms: *Structural learning theory, *Online education, *Group work in education, *Mathematics education, *Instructional systems

A Deterministic AI Foundation for Modeling Human Tutors: Fundamental Assumptions in Structural Learning Theory.

Authors: SCANDURA, JOSEPH M.¹ scandura@scandura.com

Source: Technology, Instruction, Cognition & Learning. 2018, Vol. 11 Issue 1, p73-112. 40p.

Subject Terms: *Instructional systems, *Structural learning theory, *Intelligent tutoring systems, *Short-term memory, Knowledge representation (Information theory)

Thoughts on Approaches to Adaptive Learning (June 2018).

Authors: SOTTILARE, ROBERT A.¹ robert.a.sottilare.civ@mail.mil

Source: Technology, Instruction, Cognition & Learning. 2019, Vol. 11 Issue 4, p247-249. 3p.

Subject Terms: *Instructional systems, *Structural learning theory, *Learning, *Problem solving, Mathematics

An Efficient Bayesian Network Structure Learning Strategy.

Authors: Suzuki, Joe¹

Source: New Generation Computing; Jan2017, Vol. 35 Issue 1, p105-124, 20p

Structural Learning of Bayesian Networks Via Constrained Hill Climbing Algorithms: Adjusting Trade-off between Efficiency and Accuracy.

Authors: Arias, Jacinto Gámez, José A. Puerta, José M.

Source: International Journal of Intelligent Systems. Mar2015, Vol. 30 Issue 3, p292-325. 34p.

Subjects: Structural learning theory, Bayesian analysis, Hill climbing algorithms, Machine learning, Search algorithms, Data analysis

Composition pattern oriented tag extraction from short documents using a structural learning method.

Authors: Shin, Yongwook Lee, Sung-Jun Park, Jonghun

Source: Knowledge & Information Systems. Feb2014, Vol. 38 Issue 2, p447-468. 22p.

Subjects: Data mining, Structural learning theory, Information sharing, Support vector machines, Information retrieval, Social media

AuthorIT & TutorIT: An Intelligent Tutor Authoring & Delivery System You Can Use.

Authors: SCANDURA, JOSEPH M.¹ Scandura1@verizon.net

Source: Technology, Instruction, Cognition & Learning. 2016, Vol. 10 Issue 3, p173-202. 30p.

Subject Terms: *Intelligent tutoring systems, *Structural learning theory, *Instructional systems, *Factor analysis, Big data, Data mining

Designing Mamdani-Type Fuzzy Reasoning for Visualizing Prediction Problems Based on Collaborative Fuzzy Clustering.

Authors: Prasad, Mukesh Dong-Lin Li Chin-Teng Lin et al.

Source: IAENG International Journal of Computer Science; Dec2015, Vol. 42 Issue 4, p404-411, 8p

Domain-Adaptation Technique for Semantic Role Labeling with Structural Learning.

Authors: Soojong Lim Changki Lee Pum-Mo Ryu et al.

Source: ETRI Journal; Jun2014, Vol. 36 Issue 3, p429-438, 10p

Partnering with the Community Enhances the Student Learning Experience.

Authors: Korenic, Robert J. Kurtanich, David G.

Source: Journal of Engineering Technology; Fall2013, Vol. 30 Issue 2, p8-15, 8p

Causal inference and Bayesian network structure learning from nominal data.

Authors: Luo, Guiming Zhao, Boxu Du, Shiyuan

Source: Applied Intelligence. Jan2019, Vol. 49 Issue 1, p253-264. 12p.

Subjects: Bayesian analysis, Structural learning theory, Discrete systems, Integrated circuit interconnections, Mobile communication systems

Learning Bregman Distance Functions for Structural Learning to Rank.

Authors: Li, Xi Pi, Te Zhang, Zhongfei et al.

Source: IEEE Transactions on Knowledge & Data Engineering. Sep2017, Vol. 29 Issue 9, p1916-1927. 12p.

Subjects: Structural learning theory, Robust control, Support vector machines, Semantics, Metric spaces

Dense structural learning for infrared object tracking at 200+ Frames per Second.

Authors: Yu, Xianguo Yu, Qifeng Shang, Yang et al.

Source: Pattern Recognition Letters. Dec2017, Vol. 100, p152-159. 8p.

Subjects: Structural learning theory, Tracking algorithms, Feature selection, Feature extraction, C++

Writing Revision: Evidence for Learning.

Authors: Keen, John¹ john.keen@manchester.ac.uk

Source: Changing English: Studies in Culture & Education. Jun2020, Vol. 27 Issue 2, p121-136. 16p.

Subject Terms: *Revision (Writing process), *Structural learning theory, *Learning communities, *Composition (Language arts), *Effective teaching, English penmanship

Engineering Art: Experiences of an Innovative Learning Week Activity.

Authors: Gillie, Martin Moore, David Caron, Nathalie et al.

Source: Journal of Professional Issues in Engineering Education & Practice. Oct2015, Vol. 141 Issue 4, p2515001-1-2515001-4. 4p.

Subjects: Engineering education, Structural learning theory, Industrial arts, Electromechanical technology, Psychology of learning

Similarity Learning with Top-heavy Ranking Loss for Person Re-identification.

Authors: Wang, Jin Sang, Nong Gao, Changxin et al.

Source: IEEE Signal Processing Letters. Jan2016, Vol. 23 Issue 1, p84-88. 5p.

Subjects: Structural learning theory, Constraints (Physics), Ranking (Statistics), Learning, Video surveillance