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Liebendörfer, Michael; Göller, Robin; Gildehaus, Lara; Kortemeyer, Jörg; Biehler, Rolf; Hochmuth, Reinhard; Ostsieker, Laura; Rode, Jana; Schaper, Niclas – International Journal of Mathematical Education in Science and Technology, 2022
We analyse the predictive power of learning strategies for engineering students' performance in mathematics. Learning strategies play an important role in self-regulated learning. Based on a new learning strategy questionnaire that takes into account the specifics of mathematical learning at universities, we investigated what were the strategies…
Descriptors: Learning Strategies, Engineering Education, Mathematics, College Students
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Riikka Kangaslampi; Johanna Rämö; Petri Nokelainen; Jani Hirvonen; Elina Viro; Simo Ali-Löytty; Vikke Vuorenpää; Terhi Kaarakka – International Journal of Education in Mathematics, Science and Technology, 2024
This study investigates the relationship between first-year higher education students' (N = 405) approaches to learning and academic performance on engineering mathematics courses. In addition, we study what combinations of approaches to learning students apply, how these combinations change over time, and whether they are linked to the…
Descriptors: Engineering Education, Mathematics Education, Teaching Methods, Mathematics Instruction
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Li, Chengcheng; Garza, Tiberio; Zhang, Shaoan; Jiang, Yingtao – Learning Environments Research, 2023
Undergraduates' first-year experience in engineering education impacts their retention and persistence. Strategic learning strategies (i.e. skill, will, and self-regulation) are important for students' academic achievement and retention. We examined to what extent (1) students' skill mediated the relationship between self-regulation and will and…
Descriptors: Constructivism (Learning), Engineering Education, Academic Achievement, Learning Strategies
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Van den Broeck, L.; De Laet, T.; Lacante, M.; Pinxten, M.; Van Soom, C.; Langie, G. – European Journal of Engineering Education, 2018
To stimulate a flexible lifelong learning system students can enter university via lateral entry. Unlike traditional first-year students, lateral entrance students are not well-studied. Therefore this study focuses on comparing first-year students with a specific group of lateral entrants, namely bridging students at the Faculty of Engineering…
Descriptors: Comparative Analysis, College Freshmen, Engineering, Engineering Education
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Gyllen, Justin G.; Stahovich, Thomas F.; Mayer, Richard E.; Entezari, Negin; Darvishzadeh, Amirali – Applied Cognitive Psychology, 2021
One approach to encourage productive study strategies is to incorporate preparatory quizzes (or pre-quizzes) in which students are required to submit answers to questions before the underlying material is covered in class. In the present study, students took an introductory mechanical engineering class that either included pre-quizzes (treatment…
Descriptors: Learning Strategies, Tests, Introductory Courses, Engineering Education
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Sokratis Tselegkaridis; Theodosios Sapounidis; Christos Tokatlidis; Dimitrios Papakostas – IEEE Transactions on Education, 2025
Contribution: This study focuses on microcontroller circuits and aims to: 1) investigate the impact of formal reasoning on students' post-knowledge using catastrophe theory; 2) compare the different combination sequences of tangible user interface (TUI) and graphical user interface (GUI); and 3) assess the usability of both interfaces and explore…
Descriptors: College Students, Electronics, Electronic Equipment, Engineering Education
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Areej ElSayary, Editor – IGI Global, 2025
By creating specific prompts, educators can harness the power of AI models to generate tailored content, provide instant feedback, and simulate real-world scenarios for deeper learning engagement. Whether it's creating personalized lesson plans, generating creative writing prompts, or assisting with problem-solving exercises, generative AI creates…
Descriptors: Prompting, Engineering, Artificial Intelligence, Technology Uses in Education
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Ghadeer Sawalha; Imran Taj; Abdulhadi Shoufan – Cogent Education, 2024
Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…
Descriptors: Cues, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Elvira G. Rincon-Flores; Leticia Castano; Sadie Lissette Guerrero Solis; Omar Olmos Lopez; Carlos Felipe Rodríguez Hernández; Laura Angélica Castillo Lara; Laura Patricia Aldape Valdés – Smart Learning Environments, 2024
Much has been written about Adaptive Learning, but does its implementation alone guarantee success? We have found that integrating an Adaptive Learning Strategy with diverse didactic techniques gives better results. The objectives of this exploratory study were to know the impact of the Adaptive Learning Strategy on students' learning and…
Descriptors: Learning Strategies, Academic Achievement, Computation, Thinking Skills
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Saint, John; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2020
The recent focus on learning analytics (LA) to analyze temporal dimensions of learning holds the promise of providing insights into latent constructs, such as learning strategy, self-regulated learning (SRL), and metacognition. These methods seek to provide an enriched view of learner behaviors beyond the scope of commonly used correlational or…
Descriptors: Undergraduate Students, Engineering Education, Learning Analytics, Learning Strategies
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Martin, Hector; Craigwell, Renaldo; Ramjarrie, Karrisa – European Journal of Engineering Education, 2022
The influence of grit on engineering student's achievement has been understudied. The association between grit, self-regulated learning (SRL), and academic achievement in civil engineering students was investigated using correlation and regression analysis. One hundred and one civil engineering students from various nationalities completed a…
Descriptors: Civil Engineering, Correlation, Academic Achievement, Academic Persistence
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Foutz, Timothy L. – European Journal of Engineering Education, 2019
Research suggests that a significant reason that a large number of students earn low grades in the fundamental engineering science course Statics is that they may be entering the course with incorrect conceptual knowledge of mathematics and physics. The self-explanation learning approach called collective argumentation helps k-12 students to…
Descriptors: Persuasive Discourse, Learning Strategies, Engineering Education, Academic Achievement
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Foutz, Timothy L. – American Journal of Engineering Education, 2018
Educators have used argumentation to help students understand mathematical ideas which often appear abstract to the novice learner. A preliminary investigation was conducted to determine if collaborative argumentation is a strategy that can improve the student's conceptual understanding of the topics taught in the engineering course commonly…
Descriptors: Cooperative Learning, Persuasive Discourse, Learning Strategies, College Students
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Van den Broeck, Lynn; De Laet, Tinne; Lacante, Marlies; Pinxten, Maarten; Van Soom, Carolien; Langie, Greet – Journal of Further and Higher Education, 2019
Although the number of engineering students is increasing, dropout rates remain high. This problem is also present in the Faculty of Engineering Technology (FET) at KU Leuven, Belgium, which resulted in the need for an in-depth analysis of the academic achievement of the bridging students there. This study examines the contribution of a range of…
Descriptors: Academic Achievement, Educational Background, Diagnostic Tests, Engineering Education
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Imansari, Nurulita; Sutadji, Eddy – International Journal of Evaluation and Research in Education, 2017
This evaluation is a conceptual framework that has been analyzed in the hope that can help research related an evaluation of the curriculum. The Model of evaluation used was CIPPO model. CIPPO Model consists of "context," "input," "process," "product," and "outcomes." On the dimension of the…
Descriptors: Foreign Countries, Curriculum Evaluation, Engineering Education, Models
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