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Benazir Quadir; Jie Chi Yang – Educational Technology & Society, 2024
Many advanced learning tools have been recently developed; however, demand for interactive environments that can enhance learning performance in a blended setting is growing. This study designed an interactive approach by integrating a learning tool, interactive sessions, and a variety of interaction types, and the effects of the types of…
Descriptors: Technology Uses in Education, Interaction, Academic Achievement, Public Colleges
Hallberg, Peter; Ölvander, Johan – European Journal of Engineering Education, 2022
In times of rapid transformation of society in general and domains of technology in particular, questions are raised on how to effectively organise higher engineering education. As a response, this study examines the curriculum composition of eleven engineering programs to investigate curriculum nativeness, a novel approach for assessing…
Descriptors: Engineering Education, Course Content, Educational Change, Higher Education
Li, Jiawei; Supraja, S.; Qiu, Wei; Khong, Andy W. H. – International Educational Data Mining Society, 2022
Academic grades in assessments are predicted to determine if a student is at risk of failing a course. Sequential models or graph neural networks that have been employed for grade prediction do not consider relationships between course descriptions. We propose the use of text mining to extract semantic, syntactic, and frequency-based features from…
Descriptors: Course Descriptions, Learning Analytics, Academic Achievement, Prediction
Holenko Dlab, Martina; Candrlic, Sanja; Pavlic, Mile – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: During the education of future engineers and experts in the field of computer science and information communication technology, the achievement of learning outcomes related to different levels of cognitive ability and knowledge dimensions can be a challenge. Background: Teachers need to design an appropriate set of activities for…
Descriptors: Undergraduate Students, Computer Science Education, Engineering Education, Formative Evaluation
Prasad, Mousami; Sengupta, Sourav; Niranjan, Tarikere T. – European Journal of Engineering Education, 2020
This study provides an insider's perspective on why engineering undergraduates at elite Indian universities lack academic motivation. Using interpretive qualitative research (actors approach), we uncover students' perceptions of academic (de)motivation and group them into three broad categories: faculty-related, course-related and…
Descriptors: Student Motivation, Undergraduate Students, Engineering Education, Student Attitudes
Tatzl, Dietmar – Studies in Second Language Learning and Teaching, 2018
Empirical evaluations of practical teaching units integrating content and language in higher education are rare and deserve more attention. The current article aims to narrow this gap by providing an empirical study of an integrating content and language in higher education (ICLHE, Smit & Dafouz, 2012) teaching module. It investigates the…
Descriptors: Teaching Methods, Content Analysis, Course Content, Interdisciplinary Approach
Lue, Yuang-Tswong – Journal of Curriculum and Teaching, 2015
This study was to design, develop, and investigate instructional units for freshmen with low academic achievement to learn before they study calculus. Because the concepts, skills, and theories of function are fundamental for the calculus course but the below average students were not familiar with the basic knowledge and ability in function when…
Descriptors: Units of Study, Calculus, College Mathematics, College Freshmen
Grohs, Jacob R.; Knight, David B.; Young, Glenda D.; Soledad, Michelle M. – International Journal of Education in Mathematics, Science and Technology, 2018
Situated in the second year of an engineering curriculum, undergraduate engineering mechanics courses represent a significant barrier to persistence in engineering. This study seeks to inform and improve these educational environments by examining academic performance paths over time in a course and explore how students in each path compare in the…
Descriptors: Academic Achievement, Learning Strategies, Engineering Education, Course Content
DeRocchis, Anthony M.; Michalenko, Ashley; Boucheron, Laura E.; Stochaj, Steven J. – Grantee Submission, 2018
This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…
Descriptors: Engineering Education, Data Analysis, Undergraduate Students, Artificial Intelligence
Rodriguez-Sanchez, M. C.; Torrado-Carvajal, Angel; Vaquero, Joaquin; Borromeo, Susana; Hernandez-Tamames, Juan A. – IEEE Transactions on Education, 2016
This paper presents a case study analyzing the advantages and disadvantages of using project-based learning (PBL) combined with collaborative learning (CL) and industry best practices, integrated with information communication technologies, open-source software, and open-source hardware tools, in a specialized microcontroller and embedded systems…
Descriptors: Case Studies, Cooperative Learning, Engineering Education, Academic Achievement
Merrick, K. E. – IEEE Transactions on Education, 2010
This correspondence describes an adaptation of puzzle-based learning to teaching an introductory computer programming course. Students from two offerings of the course--with and without the puzzle-based learning--were surveyed over a two-year period. Empirical results show that the synthesis of puzzle-based learning concepts with existing course…
Descriptors: Introductory Courses, Course Content, Computers, Programming
Jungert, Tomas; Rosander, Michael – Teaching in Higher Education, 2010
This study investigates the relationship between student influence and academic self-efficacy in a sample of 275 students in two Master's programmes in Engineering. Students in only one of the programmes studied according to problem-based learning (PBL). Results indicate that students choosing strategies to influence course content or structure,…
Descriptors: Self Efficacy, Course Evaluation, Problem Based Learning, Course Content
Mazumder, Quamrul H. – American Journal of Engineering Education, 2010
Engineering is a complex field of study. Declining enrollment in engineering programs in the United States is of concern and understanding the various factors that contribute to this decline is in order. Fostering a higher level of student engagement with the content may foster passion towards engineering which could increase academic competency…
Descriptors: College Freshmen, Pretests Posttests, Engineering Education, Surveys
Potter, Charles; Van Der Merwe, Errol; Kaufman, Wendy; Delacour, Julie – European Journal of Engineering Education, 2006
We have previously reported in this journal that spatial ability influences academic performance in engineering. We have also reported that spatial ability is trainable, and can be increased through instruction focused on using perception and mental imagery in three-dimensional representation. In this article, we present the results of a…
Descriptors: Imagery, Academic Achievement, Course Content, Program Effectiveness
Tonso, Karen L. – 1994
In a nontraditional engineering course students participated in internships in which they worked in teams for local industry or government clients to develop an engineering solution to an open-ended problem. This paper focuses on one of the teams as it solved the problem and explores the organization of the team's work within the constraints of…
Descriptors: Academic Achievement, College Students, Course Content, Engineering Education
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