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Delgado, Antonio; Justo, Enrique; Terranova, Domenico; Cascales, Juan – European Journal of Engineering Education, 2023
What difficulties do architecture students encounter in the structural design for their final master project? How do they address these difficulties? This paper presents the topic and focuses on these two research questions by examining the students' experience, using thematic analysis with a qualitative approach. We obtained the data through…
Descriptors: Graduate Students, Masters Programs, Student Projects, Architectural Education
Wolkowitz, Amanda A.; Foley, Brett P.; Zurn, Jared – Journal of Applied Testing Technology, 2021
As assessments move from traditional paper-pencil administration to computer-based administration, many testing programs are incorporating alternative item types (AITs) into assessments with the goals of measuring higher-order thinking, offering insight into problem-solving, and representing authentic real-world tasks. This paper explores multiple…
Descriptors: Psychometrics, Alternative Assessment, Computer Assisted Testing, Test Items
Chernikova, Olga; Heitzmann, Nicole; Stadler, Matthias; Holzberger, Doris; Seidel, Tina; Fischer, Frank – Review of Educational Research, 2020
Simulation-based learning offers a wide range of opportunities to practice complex skills in higher education and to implement different types of scaffolding to facilitate effective learning. This meta-analysis includes 145 empirical studies and investigates the effectiveness of different scaffolding types and technology in simulation-based…
Descriptors: Simulation, Higher Education, Instructional Effectiveness, Scaffolding (Teaching Technique)
Kjelvik, Melissa K.; Schultheis, Elizabeth H. – CBE - Life Sciences Education, 2019
Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise…
Descriptors: Data Use, Scientific Research, Information Literacy, STEM Education