The International journal of engineering education

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  Año 2018, Vol. 34, Número Extraordinario 3

  • Section I: Decision making in Engineering Education using Learning Analytics

    • Decision making in engineering education using learning analytics: guest editorial

      Miguel Ángel Conde González, Ángel Hernández García

      págs. 846-850

      

    • Using Learning Analytics to Detect Authentic Leadership Characteristics in Engineering Students

      María Luisa Sein-Echaluce Lacleta, Angel Fidalgo Blanco, Javier Esteban-Escaño, Francisco José García Peñalvo, Miguel Ángel Conde González

      • Resumen

      págs. 851-864

      

    • Uncovering Flipped-Classroom Problems at an Engineering Course on Systems Architecture Through Data-Driven Learning Design

      Iria Manuela Estévez Ayres, Jesús Arias Fisteus, Lucía Uguina-Gadella, Carlos Alario Hoyos, Carlos Delgado Kloos

      • Resumen

      págs. 865-878

      

    • Using bayesian networks for learning analytics in engineering education: A case study on computer science dropout at UCLM

      Carmen Lacave Rodero, Ana I. Molina Díaz

      • Resumen

      págs. 879-894

      

    • Hybrid intelligent system to predict the individual academic performance of engineering students

      Esteban Jove Pérez, José Antonio López Vázquez, Isabel Fernández-Ibáñez, José-Luis Casteleiro-Roca, José Luis Calvo-Rolle

      • Resumen

      págs. 895-904

      

    • Utilisation of learning outcome attainment data to drive continual quality improvement of an engineering programme:: A case study of taylor’s university

      Satesh Narayana Namasivayam, Mohammad Hosseini Fouladi

      • Resumen

      págs. 905-914

      

    • Assessment factors affecting e-learning using fuzzy analytic hierarchy process and SWARA

      Hakan Turan

      • Resumen

      págs. 915-923

      

    • Relationship between specific professional competences and learning activities of the building and construction engineering degree final project

      Enric Peña Camarilla, David Fonseca Escudero, Núria Martí Audí

      • Resumen

      págs. 924-939

      

    • Predicting Students’ Grade Based on Social and Content Interactions

      Sheila Lucero Sánchez López, Rebeca Díaz Redondo, Ana Fernández Vilas

      • Resumen

      págs. 940-952

      

    • Learning analytics for formative assessment in engineering education

      Iratxe Menchaca Sierra, Mariluz Guenaga Gómez, Josu Solabarrieta

      • Resumen

      págs. 953-967

      

    • Metrics for estimating validity, reliability and bias in peer assessment

      Rafael Molina Carmona, Rosana Satorre Cuerda, Patricia Compañ Rosique, Faraón Llorens Largo

      • Resumen

      págs. 968-980

      

    • Learning process analysis using machine learning techniques

      Laura Fernández Robles, Héctor Alaiz Moretón, Javier Alfonso Cendón, Manuel Castejón Limas, Luis Panizo Alonso

      • Resumen

      págs. 981-989

      

    • The student’s progress snapshot a hybrid text and visual learning analytics dashboard

      Daniel Amo, Marc Alier Forment, María José Casany

      • Resumen

      págs. 990-1000

      

    • EvalVis:: enriching formative assessment with visual learning analytics

      Mikel Villamañe Gironés, Ainhoa Izaro Álvarez Arana, Mikel Larrañaga Olagaray

      • Resumen

      págs. 1001-1012

      

  • Section II: Contributions in: Motivation, Conceptual Knowledge, Project-Based Learning, Innovation, Entrepreneurship, Academic Performance, Design Courses, STEM, Computer Architecture

    • Students’ motivation and academic achievement: the case of an engineering preparatory program

      Aharon Gero, Gershon Abraham

      • Resumen

      págs. 1013-1024

      

    • Assessment of conceptual knowledge using a component-based concept map scoring program

      Mary Katherine Watson, Elise Barrella, Joshua Pelkey

      • Resumen

      págs. 1025-1037

      

    • Self-perceived benefits of cooperative and project-based learning strategies in the acquisition of project management skills

      J. Estévez, Amanda Penélope García Marín, José Luis Ayuso Muñoz

      • Resumen

      págs. 1038-1048

      

    • Pre-service teachers’ attitudes towards technology,engagement in active learning, and creativity as predictors of ability to innovate

      Stanislav Avsec, Magdalena Jagiełło-kowalczyk

      • Resumen

      págs. 1049-1059

      

    • Understanding student participation in entrepreneurship education programs:: a critical review

      Prateek Shekhar, Aileen Huang Saad, Julie Libarkin

      • Resumen

      págs. 1060-1072

      

    • Factors influencing the academic performance in standardized tests of computer science/engineering students in colombia

      Lucy García, Víctor Cantillo Maza

      • Resumen

      págs. 1073-1084

      

    • Prototypes as intermediary objects for design coordination in first-year design courses

      Daria Kotys-Schwartz, Carlye A. Lauff, Joanna Weidler-Lewis, Mark E. Rentschler

      • Resumen

      págs. 1085-1103

      

    • The Role of the Visualization tool DIA2 in supporting STEM researchers, educators, and administrators

      Jeremi S. London, Ann Mckenna, Wen Huang, Andreea Molnar, Samantha N. Cruz

      • Resumen

      págs. 1104-1119

      

    • A content analysis of how STEM education researchers discuss the impact of their publicly-supported research

      Jeremi S. London

      • Resumen

      págs. 1120-1137

      

    • Comparing the effectiveness of a microprocessor training system and a simulator to teach computer architecture

      Nurettin Topaloglu, Sami Sahin, Celebi Uluyol

      • Resumen

      págs. 1138-1144