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Sobotka, Alex J.; Janney, Benjamin A.; Kidd, Aaron E. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2023
Graphical representations appear everywhere in modern society. Their ubiquity has, in part, justified graph literacy as a core competency in education. Graph literacy - the capacity to read and interpret graphs - consists of understanding features, identifying variables, interpreting trends, and forming real-world connections. Experts and novices…
Descriptors: Graphs, Literacy, Interpretive Skills, Data Interpretation
van Harsel, Milou; Hoogerheide, Vincent; Verkoeijen, Peter; van Gog, Tamara – Journal of Computer Assisted Learning, 2022
Nowadays, students often practice problem-solving skills in online learning environments with the help of examples and problems. This requires them to self-regulate their learning. It is questionable how novices self-regulate their learning from examples and problems and whether they need support. The present study investigated the open questions:…
Descriptors: Sequential Learning, Independent Study, Problem Solving, Electronic Learning
Walainart Meepan; Suwithida Charungkaittikul; Rabkwan Poosakaew; Waree Suebsamut – Journal of Education and Learning, 2024
The 3Ds Career Planning Program is a sequential learning activity consisting of three stages: Diagnosing (8 activities), Designing (9 activities), and Doing (2 activities). These stages help students determine their future careers by exploring themselves and the world of careers, creating paths to desired jobs, and putting their plans into action.…
Descriptors: Program Effectiveness, Nonformal Education, Career Planning, Secondary School Students
Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
Katan, Pesia; Kahta, Shani; Sasson, Ayelet; Schiff, Rachel – Annals of Dyslexia, 2017
Graph complexity as measured by topological entropy has been previously shown to affect performance on artificial grammar learning tasks among typically developing children. The aim of this study was to examine the effect of graph complexity on implicit sequential learning among children with developmental dyslexia. Our goal was to determine…
Descriptors: Dyslexia, Grammar, Sequential Learning, Children
Muñoz-Campos, Verónica; Franco-Mariscal, Antonio-Joaquín; Blanco-López, Ángel – International Journal of Science Education, 2020
This study concerns a framework for designing Teaching-Learning Sequences that aims to integrate the implementation of scientific practices in the context of daily problems. Said framework consists of three stages (formulation of the design principles, instructional design and design of the learning activities). It is based on four design…
Descriptors: Instructional Design, Teaching Methods, Guidelines, Sequential Learning
Dounas, Lamiae; Salinesi, Camille; Beqqali, Omar El – Journal of Information Technology Education: Research, 2019
Aim/Purpose: In this paper, we highlight the need to monitor and diagnose adaptive e-learning systems requirements at runtime to develop a better understanding of their behavior during learning activities and improve their design. Our focus is to reveal which learning requirements the adaptive system is satisfying while still evolving and to…
Descriptors: Electronic Learning, Learning Activities, Instructional Design, Accuracy
Mandrikas, Achilleas; Stavrou, Dimitrios; Skordoulis, Constantine – Physics Education, 2017
In this paper a teaching-learning sequence (TLS) introducing pre-service elementary teachers (PET) to weather map reading, with emphasis on wind assignment, is presented. The TLS includes activities about recognition of wind symbols, assignment of wind direction and wind speed on a weather map and identification of wind characteristics in a…
Descriptors: Weather, Map Skills, Sequential Learning, Preservice Teachers
Lemmer, Miriam – Africa Education Review, 2018
Science teaching and learning require knowledge about how learning takes place (cognition) and how learners interact with their surroundings (affective and sociocultural factors). The study reported on focussed on learning for understanding of Newton's second law of motion from a cognitive perspective that takes social factors into account. A…
Descriptors: Science Education, Physics, Scientific Principles, Motion
Nkhoma, Mathews Zanda; Lam, Tri Khai; Sriratanaviriyakul, Narumon; Richardson, Joan; Kam, Booi; Lau, Kwok Hung – Education & Training, 2017
Purpose: The purpose of this paper is to propose the use of case studies in teaching an undergraduate course of Internet for Business in class, based on the revised Bloom's taxonomy. The study provides the empirical evidence about the effect of case-based teaching method integrated the revised Bloom's taxonomy on students' incremental learning,…
Descriptors: Taxonomy, Case Method (Teaching Technique), Learning Activities, Undergraduate Students
van Ginkel, Gisbert; Oolbekkink, Helma; Meijer, Paulien C.; Verloop, Nico – Teachers and Teaching: Theory and Practice, 2016
Being adaptive to the individual novice teacher is considered a condition for effective teacher mentoring. The aims of this study are therefore to explore (1) mentoring activities through which mentors intend to adapt to the individual novice teacher and (2) characteristics of adaptive mentors. Information was collected through on-site,…
Descriptors: Mentors, Individual Differences, Novices, Individualized Instruction
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
Furukawa, James M.; Cohen, Nancy – 1979
The effects of specific testing procedures on learning were studied, using the chunking method of teaching and studying, which involves the learning of small units of information. The size of the unit is related to the student's cognitive processing capacity (CPC)--the amount of material recalled after a brief exposure. Subjects were undergraduate…
Descriptors: Academic Achievement, Cognitive Ability, Educational Testing, Grades (Scholastic)